CAKUT is far from rare. The anomalies, which arise when the ureteric bud fails to develop normally from the Wolffian duct or when it interacts defectively with the metanephric blastema during organogenesis, affect more than one percent of live births and account for thirty to fifty percent of all malformations detected before birth. They represent a leading cause of chronic kidney disease in children, and a substantial proportion of affected patients progress toward renal failure if the underlying problems are not identified and managed early. Because some anomalies remain silent while others quietly destroy nephrons, accurate and timely imaging is the linchpin of pediatric nephro-urology, guiding decisions about when to operate, when to monitor, and when to leave well enough alone.

Until now, the diagnostic backbone has been a pairing of ultrasound and dynamic renal scintigraphy. Ultrasound, the universal first-line tool, is safe and widely available but operator-dependent and often imprecise in complex anatomical variants. Dynamic renal scintigraphy using the radiotracer 99mTc-MAG3 has long been considered the gold standard for quantifying split renal function and urinary drainage, but it delivers a dose of ionizing radiation to patients who, in many cases, will need serial follow-up throughout childhood. Vesicoureteral reflux, meanwhile, is assessed separately with voiding cystourethrography or contrast-enhanced voiding urosonography. The result is a piecemeal diagnostic pathway that the Genoa team describes as ripe for consolidation.

Functional MRU collapses that pathway into a so-called one-stop-shop. In a single session, dynamic contrast-enhanced sequences combined with dedicated post-processing software deliver detailed anatomical imaging alongside quantitative measurements of differential renal function, urinary drainage, excretory patterns and urinary flow. Comparative studies cited in the review show that MRU-derived volumetric split renal function estimates, calculated with both area-under-the-curve and Rutland-Patlak kinetic methods, agree well with scintigraphy while demonstrating excellent intra- and inter-reader repeatability. Drainage curve classifications also correspond closely, although the authors note that differences in diuretic timing protocols between the two modalities explain some borderline discrepancies. Crucially, the technique achieves this without a single photon of ionizing radiation, an advantage that compounds over the many follow-up scans a child with CAKUT may require.

The practical protocol described in the review unfolds in three phases: preparation, acquisition and post-processing. Children younger than five are generally studied under sedation, although neonates needing only morphological assessment can be imaged awake using the feed-and-wrap swaddling technique, in which a sleeping, recently fed infant is gently secured in a folded sheet. Cooperative older children may be accompanied by a screened parent. Preparation includes peripheral venous access, intravenous hydration with ten to twenty milliliters per kilogram of saline, and bladder management, catheterization in sedated patients and simple voiding in cooperative ones. Because gadolinium-based contrast agents are cleared exclusively by glomerular filtration, renal function must be verified beforehand through serum creatinine and an estimated glomerular filtration rate calculated with the Schwartz formula.

Acquisition begins with morphology: axial and coronal T2-weighted turbo spin echo sequences with and without fat suppression map the parenchyma, the collecting system and anatomical variants such as duplex systems, while diffusion-weighted imaging flags areas of parenchymal inflammation and three-dimensional heavily T2-weighted sequences hunt for ectopic ureteral insertions. The functional phase then follows a tightly choreographed script. Furosemide at 0.5 to 1 milligram per kilogram, capped at 20 milligrams, is injected immediately before dynamic T1-weighted gradient echo acquisition using the F0 technique. The dynamic sequence runs continuously for twelve to fifteen minutes at high temporal resolution of three to five seconds during the first five minutes, then every thirty seconds, with a 0.1 millimole per kilogram gadolinium bolus delivered after the first three cycles. A three-dimensional angiographic breath-hold study, using a cumulative contrast dose of up to 0.3 millimole per kilogram, follows, and delayed urographic images are captured at five-minute intervals up to twenty minutes to characterize the renal pelvis, ureters and bladder.

The quantitative magic happens in post-processing. The review highlights a new analysis pipeline in which artificial intelligence models automatically segment the kidneys, renal pelvis and abdominal aorta across both morphological and functional volumes, with the operator retaining the ability to review and correct each mask. From these segmentations the software computes absolute and relative renal volumes, percentage-enhancement curves normalized to the pre-contrast baseline, and a battery of functional indices. Drainage curves are classified as normal, borderline or accumulating depending on whether signal intensity falls steadily after its peak, plateaus, or keeps rising, a distinction that directly informs whether hydronephrosis reflects true obstruction requiring surgery or benign stasis. Differential renal function is quantified twice, through the area under the filtration-phase curve and through Rutland-Patlak kinetic modeling referenced to a suprarenal aortic input function, with both measures weighted by parenchymal volume. Two transit-time biomarkers, calyceal transit time and renal transit time, complete the panel, with prolonged values serving as sensitive early indicators of urodynamic impairment.

The clinical payoffs are illustrated condition by condition. In ureteropelvic junction obstruction, the most common cause of upper urinary tract blockage in children, MRU distinguishes intrinsic stenosis from extrinsic compression by a crossing accessory renal artery, a distinction that determines whether surgeons perform a standard Anderson-Hynes dismembered pyeloplasty or a Hellström vascular hitch procedure. A quantitative scoring system proposed in 2022 standardizes MRU-based diagnosis and management of this condition, and postoperative scans can document functional recovery through improving transit times and filtration parameters. In megaureter and ureterovesical junction obstruction, where many cases resolve spontaneously by age two to five, MRU supports conservative surveillance and identifies the minority of children whose declining differential renal function warrants ureteral reimplantation, increasingly performed with robotic assistance.

The technique also excels where scintigraphy struggles. In dysplastic and hypoplastic kidneys, including multicystic dysplastic kidney, precise MR segmentation separates enhancing parenchyma from cysts and collecting systems, and the degree of dysplasia correlates negatively with residual function. In duplex systems, which follow the Weigert-Meyer rule with an obstructed upper moiety and a reflux-prone lower moiety, MRU characterizes each moiety’s separate functional contribution while defining complex anatomy that ultrasound and reflux-only studies cannot. For ectopic, malrotated and fused kidneys such as the horseshoe kidney, dynamic sequences separate harmless urinary stasis from genuine obstruction and reveal aberrant vessels that may compress the ureter. The authors close with a proposal for a structured reporting model intended to standardize MRU interpretation across centers. With sedation requirements low, no adverse events reported, and new AI-driven software interfacing directly with hospital PACS systems, the review positions functional MRU as a cornerstone of personalized, radiation-free care for the most common group of fetal anomalies encountered in modern medicine.

Subject of Research: Functional magnetic resonance urography for evaluating congenital anomalies of the kidney and urinary tract in children

Article Title: How we do it: functional magnetic resonance urography in congenital anomalies of the kidney and urinary tract

Article References: Anfigeno, L., Basso, L., Gnocchi, G., Barbieri, L., Minetti, E., Olivi, B., Verrina, E., Mattioli, G., & Damasio, M. B. (2026). How we do it: functional magnetic resonance urography in congenital anomalies of the kidney and urinary tract. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06745-5

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06745-5

Keywords: functional MR urography, CAKUT, pediatric radiology, kidney anomalies, differential renal function, renal scintigraphy, hydronephrosis, gadolinium contrast, AI segmentation, ureteropelvic junction obstruction, duplex kidney, chronic kidney disease

The scale of the shortage is not in dispute. Workforce surveys from the American College of Radiology and the Radiology Business Management Association have documented hiring pressures across the specialty, and pediatric radiology has been singled out as particularly vulnerable, with fewer trainees choosing the subspecialty even as children’s hospitals expand their imaging services. A previous analysis in the Journal of the American College of Radiology laid out action steps to address the pediatric radiologist deficit, warning that without intervention the pipeline of qualified imagers would narrow dangerously. Remote and hybrid work emerged as an unexpected lever. By removing geographic constraints, departments can recruit radiologists who live elsewhere, retain experienced staff facing caregiving responsibilities, and compete for talent against private practices and teleradiology companies offering location independence as a core benefit.

Some of the strongest evidence for the viability of remote radiology came from the COVID-19 pandemic, which functioned as an unplanned, worldwide stress test of distributed imaging practice. Surveys conducted by the Society for Pediatric Radiology and the Society of Chiefs of Radiology at Children’s Hospitals documented how rapidly pediatric imaging departments shifted to home-based picture archiving and communication system, or PACS, workstations during the crisis. Far from collapsing, diagnostic operations continued, and a follow-up study of pediatric neuroradiologists at a quaternary pediatric academic hospital found that subspecialists working from home during the pandemic maintained solid interpretive performance. That finding matters because it speaks to a central technical question: whether the cognitive work of pediatric image interpretation, which demands meticulous attention to subtle findings across growing, complex study volumes, can be performed reliably outside the walls of the hospital. The accumulating answer, at least for many read-oriented tasks, has been yes.

Broader research beyond radiology reinforces the point. A randomized controlled trial published in Nature in 2024 found that hybrid working from home improved employee retention without damaging performance, upending assumptions that physical presence is a prerequisite for high-quality output. Studies of work-from-anywhere arrangements have documented productivity gains when geographic flexibility is paired with clear accountability, while analyses of fully remote arrangements show more mixed results, particularly for tasks dependent on dense collaboration. Radiology-specific investigations echo this pattern. A study comparing remote and on-site radiologist productivity found comparable output between the two environments, and an academic radiology review concluded that work-from-home programs, when thoughtfully structured, offer real advantages in recruitment and well-being without measurable penalty to clinical throughput. Surveys within radiology departments also report that faculty and trainees largely perceive remote workstation technology as adequate for clinical work, even as they flag concerns about the learning experience it provides.

Those concerns point to the darker side of the distributed model. Organizational psychologists have long studied the power of proximity: coworkers who are physically present benefit from spontaneous interactions, serendipitous consultation, and the passive face time that shapes how colleagues and leaders perceive their commitment. Research on spontaneous trait inference shows that employees who are simply seen more often are unconsciously credited with positive qualities, a phenomenon that translates directly into proximity bias in hybrid workplaces. In radiology departments split between on-site and remote staff, this bias can generate real or perceived inequities in assignment of desirable work, access to leadership opportunities, and credit for team contributions. The Seattle authors identify this interpersonal friction as one of the principal hazards of hybrid practice, noting that perceived unfairness between the two cohorts can corrode morale in ways that no productivity metric will capture until valuable radiologists begin to leave.

Visibility poses a second, arguably existential, challenge. Radiology’s professional literature has warned for years about the vanishing radiologist, the clinician whose expertise becomes invisible to patients, referring physicians, and hospital administrators alike. The danger of being unseen has acquired new urgency as proponents of artificial intelligence argue that diagnostic algorithms could absorb radiologists’ interpretive work. If radiologists are also physically absent from the decision-making arenas where clinical priorities are set, protocols designed, and resources allocated, their institutional influence diminishes precisely when the specialty needs champions most. The authors argue that off-site radiologists must remain deliberately present in these spheres, both within radiology and across the broader hospital, because the credibility that protects the profession from being reduced to a commodity image-reading service is built through relationships, committee work, and face-to-face clinical engagement.

The third major casualty of remote practice is the informal curriculum of radiology training. Radiology education has traditionally relied on the live readout, in which a trainee sits beside an attending radiologist and watches cases unfold in real time, absorbing search patterns, diagnostic reasoning, and the defensive habits of safe practice. When faculty work from home, those side-by-side sessions shrink, and with them the mentorship conversations that occur in hallways and over lunch. A systematic assessment of faculty and trainee perceptions of the current state of radiology readouts documents tension over how teaching is delivered in the modern department. The Seattle group warns that degraded informal mentorship and reduced trainee contact could narrow the pipeline of future pediatric radiologists, compounding the very workforce shortage that remote work was meant to relieve. A specialty that recruits flexibly but fails to train the next generation solves one crisis by manufacturing another.

The mitigation strategies the authors describe are refreshingly concrete, and fairness sits at the top of the list. In their practice, hybrid eligibility, work distribution, and coverage obligations are structured so that on-site and remote radiologists feel the rules apply equally to everyone, rather than according to seniority, personality, or chance. Fairness also extends to the metrics used to evaluate performance. The authors describe deliberately avoiding siloing, in which remote radiologists are permanently relegated to isolated reading queues, and resisting an overemphasis on individual work relative value units, the wRVU benchmarks that quantify billed interpretive volume. Heavy wRVU-driven accounting, they argue, reduces a radiologist’s contribution to a single number and discourages the unbillable but essential activities, such as teaching, protocol development, multidisciplinary conferences, and peer review, that make an imaging department function. Departments that measure only throughput will get throughput, and lose everything else.

Communication emerges as the connective tissue holding the hybrid department together, and the authors advocate for it to be frequent and multidirectional rather than occasional and top-down. Structured check-ins, recurring video conferences, intentional inclusion of remote staff in departmental meetings, and deliberate rotation of on-site responsibilities all help distributed teams maintain the informal awareness that co-located teams get for free. Research on designing hybrid offices supports this engineering mindset: the most successful hybrid organizations treat collaboration as something to be actively designed, not left to chance encounters. The same principle applies to quality improvement. Peer feedback and learning, identified by radiology safety researchers as central to reducing diagnostic error, depend on cultures of open communication that must be consciously maintained when colleagues rarely share a physical room.

What emerges from the review is neither a celebration of remote work nor a call to retreat to the reading room, but a pragmatic framework for a specialty with little room to maneuver. Pediatric radiology cannot afford to forfeit the recruitment and retention advantages of flexibility, and the evidence suggests remote practice can deliver clinical quality. Yet the intangible assets of an academic imaging department, its visibility, its mentorship, its collective culture, are depleted by distance in ways that are easy to ignore and costly to rebuild. The Seattle authors’ prescription is essentially a bargain: hybrid work for pediatric radiologists, purchased with deliberate investments in fairness, communication, and presence in the rooms where decisions are made. Whether children’s hospitals strike that bargain well may determine not just how comfortable their radiologists are, but whether the subspecialty has a workforce a generation from now.

Subject of Research: Strategies for maintaining a healthy work environment among hybrid and remote pediatric radiologists facing a workforce shortage

Article Title: Maintaining a healthy work environment with hybrid and remote pediatric radiologists

Article References: Noda, S., Oztek, M. A., Ward, J., Pai, V., & Iyer, R. S. (2026). Maintaining a healthy work environment with hybrid and remote pediatric radiologists. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06782-0

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06782-0

Keywords: pediatric radiology, hybrid work, remote work, workforce shortage, radiologist retention, mentorship, trainee education, proximity bias, wRVU, teleworking, burnout, wellness

Percutaneous renal biopsy, in which a thin needle is guided through the skin and into the kidney to extract a sliver of tissue, is a cornerstone of modern kidney medicine. It allows pathologists to diagnose glomerular diseases, assess inflammation, gauge the severity of transplant rejection, and guide treatment decisions that can alter the trajectory of a child’s kidney health for decades. The procedure is almost always performed under real-time ultrasound guidance, which lets the operator visualize the needle path and avoid large vessels. Yet even with this precision, bleeding remains the complication that defines the procedure’s risk profile. Blood vessels in the kidney operate under high pressure, and the organ’s rich blood supply means that even a small puncture can produce a hematoma, a pocket of clotted blood that forms around the biopsy site.

Most of what medicine knows about post-biopsy bleeding comes from studies in adults. Adult nephrology literature has identified a familiar cast of risk factors: advanced age, elevated serum creatinine, high blood pressure, anemia, larger biopsy needles, and the number of passes made with the needle. Pediatric patients, however, are not simply small adults. Their kidneys are smaller, their vascular anatomy differs, their blood volume is proportionally different, and the diseases that prompt biopsy in children, from minimal change disease to transplant rejection, follow their own patterns. When the researchers behind the new study surveyed the existing literature, they found that data on bleeding risk factors in children was strikingly limited, leaving pediatric teams to extrapolate from adult evidence that may not apply.

To close that gap, a team led by Rajkumar Meena and Gali Shapira-Zaltsberg at the Children’s Hospital of Eastern Ontario in Ottawa, working with biostatisticians Nick Barrowman and Anne Tsampalieros, conducted an institutional review board-approved retrospective study covering pediatric patients who underwent native or transplant kidney biopsies between 2010 and 2024. The study spanned fourteen years of clinical practice, capturing changes in technique, needle technology, and post-procedure care protocols over time. Because the study was retrospective and used de-identified data, the ethics board waived the requirement for individual informed consent, a standard approach for research that examines existing medical records rather than prospectively enrolling patients.

The researchers defined their outcomes with unusual precision. The primary endpoints were twofold: a drop in hemoglobin of more than 15 grams per liter measured four to six hours after the biopsy, and the presence of a sizable perinephric hematoma, defined as at least five milliliters of blood collected around the kidney, as seen on an ultrasound performed immediately after the procedure. The hemoglobin threshold matters because a fall of that magnitude in a child represents a meaningful loss of circulating blood volume, one that clinicians cannot afford to overlook. The five-milliliter hematoma threshold, meanwhile, distinguishes trivial traces of blood, which are common and usually harmless, from collections large enough to signal genuine vascular injury. The association between the presence of a hematoma and a significant hemoglobin drop was assessed directly, and the team analyzed twelve preselected risk factors for their connection to these co-primary outcomes.

The study population comprised 207 children, with a median age of 11 years and an interquartile range of 7 to 14, meaning half of the patients fell between those ages. Of these, 170 children, or 82 percent, underwent biopsy of their own kidneys, while 37 children, or 18 percent, had biopsies of transplanted kidneys. Transplant biopsies are a distinct procedural scenario: the graft sits in the iliac fossa of the pelvis rather than in the flank, its vascular supply differs, and the immune context of the patient is shaped by immunosuppressive therapy. Including both biopsy types gave the researchers a broad view of real-world pediatric practice, though it also meant the analysis had to accommodate two anatomically different procedures within a single cohort.

The headline result is a strong statistical association between what the immediate post-biopsy ultrasound shows and what happens to the child’s blood count. Twenty-three patients, or 11 percent of the cohort, experienced a hemoglobin decrease of at least 15 grams per liter, with a 95 percent confidence interval of 8 to 16 percent. Twenty-seven patients, or 13 percent, developed a perinephric hematoma of at least five milliliters, with a confidence interval of 9 to 18 percent. When the researchers cross-tabulated these outcomes, they found that children with a hematoma of five milliliters or more on immediate post-procedural imaging had roughly 4.6 times the odds of experiencing a significant hemoglobin decline compared with those who did not, with a 95 percent confidence interval of 1.5 to 13.4 and a p-value of 0.004. In practical terms, a child who leaves the biopsy suite with a measurable bleed around the kidney is several times more likely to be the child whose hemoglobin falls meaningfully in the hours that follow.

Just as telling is what the study did not find. The researchers examined twelve different preselected risk factors, a list that reflects the predictors repeatedly flagged in the adult literature, and after correcting for multiple statistical testing, none of the others showed a significant association with either hemoglobin decline or hematoma formation. This negative result carries real weight. It suggests that the conventional adult risk factors, and the demographic and procedural variables clinicians might instinctively reach for, do not reliably identify which children will bleed after a pediatric renal biopsy. The immediate ultrasound image, in other words, may be more informative than any characteristic of the patient measured before the needle goes in. The finding aligns with earlier work in adult populations, including Japanese and Chinese studies that examined ultrasonographic findings and renal parenchymal thickness as predictors of post-biopsy bleeding, but it extends that logic into pediatric practice, where the evidence base had been thin.

The implications for clinical practice are concrete. If a five-milliliter hematoma on immediate post-biopsy ultrasound predicts a meaningful hemoglobin drop, then that single image could serve as a triage tool. Children with a sizable hematoma might be flagged for closer observation, repeat hemoglobin checks, longer monitoring periods, or earlier involvement of the nephrology team, while children with a clean immediate scan might be candidates for streamlined discharge pathways. This matters in pediatric settings, where minimizing time in hospital and reducing unnecessary blood draws are priorities, and where the threshold for admitting a child for overnight observation varies widely between institutions. The study also underscores the value of standardized hematoma measurement; a recent scoping review of adult practice found that reporting of perirenal hematoma size after biopsy is inconsistent, making it difficult to compare studies or pool evidence. By defining a specific volumetric threshold, the Ottawa team offers a metric that other centers can adopt and validate.

There are, of course, limits to what a single-center retrospective study can establish. The cohort of 207 patients, while respectable for a pediatric procedure study, yields relatively few bleeding events, and the wide confidence intervals around the estimates reflect that statistical uncertainty. The twelve risk factors examined were preselected, and other variables not captured in the records, such as subtle differences in technique or patient hydration status, could conceivably play a role. The hematoma-hemoglobin association, while statistically robust, is an association observed in retrospective data rather than a demonstrated causal pathway, and the finding awaits validation in independent, ideally multi-center, pediatric cohorts before it should drive wholesale changes to monitoring protocols. Still, the study’s message is clear and clinically actionable: in children undergoing ultrasound-guided kidney biopsy, the most valuable predictor of clinically significant bleeding may not be found in the chart at all, but on the ultrasound screen in the minutes immediately after the biopsy needle is withdrawn. For a procedure performed thousands of times each year in children’s hospitals around the world, that is a finding worth watching.

Subject of Research: Risk factors for clinically significant hemorrhage after ultrasound-guided percutaneous renal biopsy in children

Article Title: Predictors of clinically significant hemorrhage following ultrasound-guided percutaneous renal biopsy in pediatric patients

Article References: Meena, R., Barrowman, N., Tsampalieros, A., & Shapira-Zaltsberg, G. (2026). Predictors of clinically significant hemorrhage following ultrasound-guided percutaneous renal biopsy in pediatric patients. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06794-w

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06794-w

Keywords: renal biopsy, pediatric nephrology, hemorrhage, ultrasound, perinephric hematoma, hemoglobin decline, kidney transplant biopsy, interventional radiology, post-biopsy monitoring, risk factors, Pediatric Radiology, retrospective study

The commentary, written by Rama Ayyala of Cincinnati Children’s Hospital Medical Center and the University of Cincinnati Medical Center, proposes a framework for wellness-centered leadership that reframes leadership itself as a primary wellness intervention. Its central premise is drawn from a growing body of evidence: burnout is driven less by deficiencies in individual resilience than by chronic workplace stressors, including excessive workload, inefficient workflows, staffing shortages, communication failures, and organizational culture. If that is true, then the people with the most influence over those conditions are not wellness officers offering yoga classes, but the department chairs, medical directors, and team leads who design the daily work environment.

The scale of the problem in pediatric imaging is well documented. Previous surveys of the Society for Pediatric Radiology have found substantial burnout prevalence among pediatric radiologists, alongside identifiable stressors ranging from workload to administrative burden. The specialty faces a paradox familiar across medicine: professionals describe their work as highly rewarding, citing meaningful patient interactions, multidisciplinary collaboration, teaching, mentorship, and research, while simultaneously reporting symptoms of exhaustion and disengagement. Imaging volume and complexity continue to climb, demanding greater subspecialized knowledge and faster, more accurate interpretations. The author describes this as a growing functional burden, one that extends beyond raw case counts to encompass the mental effort of synthesizing complex clinical information, communicating findings, and making high-stakes decisions under time pressure.

Operational friction compounds the cognitive load. Inappropriate or unclear imaging requests, competing clinical priorities, and frequent interruptions create inefficiencies that frustrate physicians, technologists, and nursing staff alike. Workforce shortages force individuals to meet rising demands with fewer resources, and caring for critically ill children adds a significant element of emotional labor. Crucially, the commentary emphasizes that these stressors do not erase the meaning of the work; fulfillment and stress can coexist, and clinicians can remain deeply engaged while experiencing significant burnout symptoms. That distinction matters because it shifts the diagnosis: burnout may reflect not a lack of meaning or personal grit, but systems that erect unnecessary barriers to meaningful work.

This is where the critique of conventional wellness programs becomes sharp. The author argues that many organizational initiatives amount to what has been called performative wellness, or carewashing: pizza parties, resilience workshops, meditation sessions, and wellness newsletters that create the appearance of institutional concern while leaving the structural drivers of distress untouched. Worse, such programs can subtly transfer responsibility for coping onto individuals, implying that those who struggle simply lack resilience. This framing risks stigmatizing distressed employees and discouraging honest conversations about workplace problems. Decades of occupational psychology research, including the influential work of Christina Maslach and colleagues, points instead to chronic mismatches between job demands and available resources, lack of control over work, and toxic organizational cultures as the true engines of burnout.

The proposed alternative is a three-pillar framework for wellness-centered leadership, adapted from work by Tait Shanafelt and colleagues at Stanford. The first pillar is caring about people. Leaders build trust by deliberately fostering psychological safety, the shared belief that employees can speak up, ask questions, report concerns, and admit mistakes without fear of embarrassment or punishment. That requires consistent humility, transparency, curiosity, and visible follow-up on feedback, not just invitations to share ideas. Behaviors such as active listening, transparent communication during change, recognition and gratitude, stay interviews, and leaders modeling healthy work-life boundaries all reinforce the message that employees matter. The familiar observation that people leave leaders rather than organizations, the author suggests, is a warning worth heeding.

The second pillar is cultivating relationships. Pediatric radiology depends on a diverse team of physicians, technologists, nurses, child life specialists, administrators, researchers, IT professionals, and trainees, and community across those silos does not develop automatically. Leaders must engineer opportunities for connection through inclusive decision-making, multidisciplinary workgroups, shared quality initiatives, mentorship, and cross-professional recognition. Remote and hybrid work adds friction, reducing informal interaction and professional visibility, so leaders must ensure that visibility reflects contribution rather than physical presence and that access to information, recognition, and development opportunities is equitable regardless of work location. Shared purpose is protective as well: prior research shows that physicians who spend at least 20 percent of their professional effort on the activities they find most meaningful experience substantially lower burnout, giving leaders a concrete lever for fulfillment.

The third pillar, and arguably the hardest, is inspiring change by fixing the work itself. Even without new staff or budgets, leaders can target modifiable sources of distress: inappropriate STAT requests, inefficient workflows, unnecessary administrative tasks, scheduling inequities, and communication failures. Engaging frontline teams to identify low-value work, simplify processes, and clarify priorities turns prioritization into a core leadership responsibility. Expanding imaging access into evenings and weekends supports patient-centered care but risks overburdening a constrained workforce unless staffing and interpretation capacity expand in parallel. The author argues that operational excellence should be treated as an essential wellness strategy, and that when problems cannot be solved, transparent communication about limitations and meaningful employee involvement in decisions can preserve trust.

Measurement is the thread that ties the framework together. Departments rigorously track turnaround time, productivity, quality, and patient experience, yet rarely measure employee well-being with the same discipline. The commentary calls for professional fulfillment, psychological safety, trust, workplace inclusion, and retention risk to be added to routine departmental dashboards alongside traditional metrics, with repeated climate and pulse surveys to monitor progress. Measurement, however, must be the beginning of improvement, not the end: surveys without visible action erode trust and discourage future participation. For leaders unsure where to start, the commentary offers a practical roadmap: ask employees directly what makes their work harder than it should be, hold role-specific listening sessions, fix one operational pain point to build credibility with a small win, follow up visibly and transparently, and protect time for meaningful work while recognizing contributions across every professional role.

The ultimate message is blunt and, for many healthcare organizations, uncomfortable. The goal is not to make healthcare professionals more resilient to broken systems but to build better systems that support the people who provide care. Leadership, the author concludes, is not adjacent to workforce well-being; it is the intervention itself. In a field where burnout is increasingly understood as an organizational disease rather than a personal failing, the departments that thrive will be those whose leaders shape culture, foster community, dismantle unnecessary barriers, and treat the employee experience with the same rigor they apply to any clinical metric. For the children and families who depend on pediatric imaging, the sustainability of that workforce may be one of the most consequential health interventions of all.

Subject of Research: Wellness-centered leadership as an organizational intervention to reduce burnout in pediatric radiology

Article Title: Empowering leaders, empowering teams: fostering wellness through leadership

Article References: Ayyala, R. (2026). Empowering leaders, empowering teams: fostering wellness through leadership. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06774-0

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06774-0

Keywords: burnout, leadership, pediatric radiology, physician wellness, psychological safety, organizational culture, workforce retention, healthcare leadership, professional fulfillment, wellness-centered leadership, workplace stress, employee experience

The review synthesizes three decades of literature, spanning 1995 through early 2025, on five distinct ablation modalities applied to malignant solid tumors in patients aged 18 years or younger: radiofrequency ablation, cryoablation, microwave ablation, irreversible electroporation, and electrochemotherapy. Each works through a fundamentally different biophysical mechanism. Radiofrequency ablation, the oldest and most widely studied thermal technique, drives alternating electrical current through an electrode tip, generating resistive heat that coagulates tissue at temperatures above roughly 60 degrees Celsius. Cryoablation takes the opposite approach, cycling argon and helium gases through a probe to freeze and thaw tissue, rupturing cell membranes through ice-crystal formation and osmotic stress. Microwave ablation uses electromagnetic fields at around 915 MHz or 2.45 GHz to agitate water molecules, heating tissue faster and over larger volumes than radiofrequency energy while remaining less susceptible to the heat-sink effect created by nearby blood vessels, a phenomenon in which circulating blood carries thermal energy away from the treatment zone and leaves tumor cells at the margin viable.

The two nonthermal techniques in the review sidestep heat altogether. Irreversible electroporation delivers short, high-voltage electrical pulses that destabilize cell membranes, creating permanent nanoscale pores that trigger cell death while largely preserving the protein scaffolding of surrounding tissue, including blood vessels, nerves, and ducts. That tissue-sparing property makes it theoretically attractive near critical structures such as the liver hilum, though animal work has shown that cardiac-gated synchronization is needed to prevent ventricular arrhythmias when ablation occurs near the heart. Electrochemotherapy combines intravenous or intratumoral chemotherapy, typically bleomycin, with electrical pulses that transiently permeabilize cell membranes, dramatically increasing drug uptake inside tumor cells. A 2026 case report highlighted in the review describes electrochemotherapy as a potential local treatment for residual MIBG-avid disease in refractory pediatric neuroblastoma, illustrating how the technique may reach children whose disease resists conventional therapy.

Behind the technical catalog lies an epidemiological backdrop that gives the review its urgency. The authors report that hepatoblastoma, the most common malignant liver tumor of early childhood, has shown the steepest rising incidence among ablation-relevant solid tumors, with an annual percent change of +2.17 percent. Meanwhile, five-year survival for pediatric bone tumors and soft tissue sarcomas remains stuck near 60 percent, a figure that has improved only incrementally over decades. For children with relapsed or refractory disease, options narrow sharply, and this is precisely where ablation has carved out its clinical niche. The review is emphatic on one point: surgical resection and systemic chemotherapy remain the primary treatment for all malignant solid tumors discussed, and ablation is reserved for relapsed, refractory, or surgically limited scenarios, such as pulmonary metastases of osteosarcoma that cannot all be removed surgically, or recurrent liver tumors in a child who has already undergone hepatic resection.

The clinical evidence, however, is fragile. For malignant solid tumors, the review finds the literature limited to small retrospective series with heterogeneous populations and short follow-up, precluding any conclusions about survival benefit. A phase 1 pilot study of radiofrequency ablation for recurrent pediatric solid tumors published in Cancer in 2009 remains one of the few prospective efforts, and a 2014 systematic review in Pediatric Radiology, along with a 2020 meta-analysis of interventional radiology-guided procedures in pediatric solid tumors in the European Journal of Pediatric Surgery, both concluded that the pediatric literature consists largely of case reports and single-institution experiences. A 2022 series in Pediatric Blood & Cancer on percutaneous ablation of malignant and locally aggressive solid tumors in children added valuable multi-modality data but remained retrospective. The contrast with adult interventional oncology is stark: in adults, randomized trials and large registries have established ablation as standard care for selected hepatocellular carcinomas and other lesions, while pediatric practice continues to extrapolate from devices and evidence generated for grown bodies.

That extrapolation problem is more than academic. A 2023 study in Cardiovascular and Interventional Radiology asked pointedly whether there is really no kit for kids, quantifying how few high-volume interventional radiology devices carry manufacturer recommendations for pediatric use. Ablation probes are sized, powered, and shaped for adult anatomy; a probe designed to create a five-centimeter ablation zone in an adult liver may overshoot dangerously in the liver of a toddler. Pediatric operators must therefore adapt technique on the fly, adjusting power settings, overlapping smaller ablations, and relying on experience rather than validated device labeling. The same research group published a companion analysis in 2023 on cryoablation for bone and soft tissue lesions in pediatric patients, cataloguing complications and preventive measures, and a 2024 report describing a decade of cryoablation experience in extra-abdominal desmoid tumors in children and young adults, one of the larger single-center pediatric ablation experiences in the literature.

Imaging guidance is the quiet enabler of all these techniques, and its evolution matters as much as the energy sources themselves. Ultrasound offers real-time visualization without ionizing radiation, a decisive advantage in children, but struggles with deep or bone-encased targets. Computed tomography provides precise needle-path planning for lung and bone lesions, as demonstrated in the CT-guided thermal ablation of pulmonary osteosarcoma metastases reported in Annals of Surgical Oncology in 2016. Magnetic resonance guidance represents the frontier: MR thermometry allows operators to watch temperature maps build in real time, and MR-guided focused ultrasound surgery, which ablates through intact skin without any needle at all, has established clinical services for pediatric bone tumors such as osteoid osteoma, as outlined in 2016 guidelines for building such programs. Three-dimensional visualization systems have also been paired with microwave ablation for relapsed hepatoblastoma in a small pilot study, suggesting that fusion imaging and volumetric planning will increasingly define the pediatric standard of care.

What emerges from the review is a field at an inflection point. Clinical adoption is accelerating, device technology is improving, and the biophysical rationale for each modality is well understood, yet the pediatric evidence remains confined to small, retrospective, single-institution series with heterogeneous populations and short follow-up. The authors identify a coordinated multicenter registry with standardized survival endpoints as the most urgent unmet need in the field, a call that echoes the standardization of terminology and reporting criteria established for image-guided tumor ablation in the adult literature more than a decade ago. Without shared endpoints, pooled data, and honest complication reporting, pediatric ablation risks remaining a promising anecdote rather than an evidence-based option. The review also transparently notes that generative AI was used during manuscript preparation to cross-check the literature search and copy-edit, with all content reviewed and verified by the authors, a sign of how the field’s own scholarship is modernizing.

For families facing a relapsed osteosarcoma nodule in the lung, a recurrent hepatoblastoma after resection, or a refractory neuroblastoma mass wrapped around vital structures, image-guided ablation already offers something precious: a percutaneous option that can destroy tumor while preserving tissue, function, and future growth potential. The review’s message to the medical community is that the next decade must be spent proving, not merely practicing, that promise. With hepatoblastoma incidence climbing, survival for sarcomas plateauing near 60 percent, and devices still built for adults, the children who stand to benefit most from needle-based tumor destruction are precisely those whose evidence base is weakest. Turning scattered single-center experiences into a rigorous, multicenter evidence engine, the authors argue, is no longer optional. It is the prerequisite for making image-guided ablation a standard, trusted pillar of pediatric cancer care rather than a last resort practiced in the shadows of the operating room.

Subject of Research: Image-guided percutaneous ablation modalities for malignant solid tumors in children

Article Title: Image-guided ablation for pediatric malignant solid tumors: a review of modalities, evidence, and clinical applications

Article References: Shashi, K., Sabado, J., Chewning, R., Shahin, M., & Shaikh, R. (2026). Image-guided ablation for pediatric malignant solid tumors: a review of modalities, evidence, and clinical applications. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06781-1

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06781-1

Keywords: pediatric oncology, image-guided ablation, radiofrequency ablation, cryoablation, microwave ablation, irreversible electroporation, electrochemotherapy, hepatoblastoma, sarcoma, interventional radiology, Pediatric Radiology, tumor ablation

The review team searched three major biomedical databases, SCOPUS, PubMed, and Web of Science, and identified 129 records for consideration. After screening, 41 studies met the criteria for inclusion and provided usable data on disease type, imaging modalities, and reported radiation dose metrics. The populations covered were diverse: children with congenital heart disease, scoliosis, cystic fibrosis, inflammatory bowel disease, esophageal atresia, osteogenesis imperfecta, spina bifida, hydrocephalus, urological conditions, bleeding disorders, craniosynostosis, cleft palate, asthma, pulmonary hypertension, and organ transplant recipients, among others. This breadth is important, because the authors found that radiation exposure was not uniform across conditions but was strongly influenced by the specific diagnosis, the age at which imaging began, the severity of the disease, and the imaging modalities that each disease trajectory demands.

One of the clearest technical findings of the review is that the modality mix matters enormously. Plain radiography, the conventional X-ray, was by far the most frequently performed examination across nearly all chronic disease groups. However, radiographs deliver relatively small doses per examination, and the review concluded that they were not the dominant contributors to cumulative burden. Instead, computed tomography and fluoroscopy, both of which involve substantially higher dose outputs and, in the case of fluoroscopy, prolonged real-time exposure, accounted for the majority of the cumulative effective dose reported in the included studies. In some patient groups, cumulative doses from these higher-yield modalities exceeded 20 to 50 millisieverts, thresholds that radiation protection specialists regard as significant when accumulated during childhood.

The biological rationale for concern lies in the interaction between ionizing radiation and growing tissue. Effective dose, measured in millisieverts, is a calculated quantity that weights absorbed dose by the radiation sensitivity of the organs exposed, allowing comparison across different types of examinations. Pediatric patients are more sensitive to radiation-induced carcinogenesis than adults for several reasons: their tissues are actively dividing, their longer life expectancy leaves more time for radiation-induced cancers to manifest, and stochastic effects, meaning probabilistic DNA damage that may lead to malignancy decades later, do not have a known safe threshold in the linear no-threshold framework commonly used for protection purposes. A child with a chronic disease diagnosed in infancy may therefore face decades of potential risk following exposures delivered in the first years of life.

Several disease-specific patterns emerged from the included literature. Children with congenital heart disease, particularly those requiring staged surgical palliation or interventional cardiac catheterization, consistently appeared among the most heavily exposed groups, because cardiac fluoroscopy and CT angiography are central to both diagnosis and treatment. Studies cited in the review estimated cumulative doses during staged single-ventricle palliation and documented measurable chromosomal DNA damage in exposed children. In scoliosis management, repeated spinal radiographs required for curve monitoring, combined with intraoperative imaging, produced substantial cumulative exposure, prompting the development of low-dose slot-scanning systems that reduce dose compared with standard radiographs. Children with inflammatory bowel disease frequently underwent CT during acute flare-ups before magnetic resonance enterography became the preferred alternative, and retrospective cohorts documented cumulative doses high enough to raise malignancy concerns.

Other chronic conditions illustrated subtler but still meaningful exposure pathways. Infants with esophageal atresia undergo repeated contrast studies and fluoroscopic procedures in the first months of life, and one French study cited in the review explicitly asked how low these cumulative doses could realistically be pushed. Children with spina bifida and shunt-treated hydrocephalus accumulated exposure through serial imaging of the brain and spine, while pediatric stone disease generated exposure through fluoroscopy-guided procedures such as percutaneous nephrolithotomy and shockwave lithotripsy. Even conditions considered lower risk, such as developmental dysplasia of the hip, appeared in the literature, with one study reassuringly concluding that repeated pelvic radiographs during harness treatment carry very low radiation risk. Meanwhile, pediatric cleft palate patients showed a three- to five-fold increase in cumulative radiation exposure from dental radiology compared with age- and gender-matched peers.

Organ transplant recipients represent another group highlighted by the review. Children receiving heart transplants accumulated considerable exposure within the first post-transplant year through echocardiography-adjacent imaging, catheterization, and CT surveillance for complications such as rejection, infection, and vascular stenosis. A cohort study of pediatric transplant recipients more broadly documented diagnostic imaging exposure that was markedly elevated compared with healthy children. Similarly, children with osteogenesis imperfecta, the brittle bone disorder, required serial skeletal radiographs throughout childhood to monitor fractures and surgical interventions, with one cited study estimating associated lifetime cancer risk from these cumulative exposures.

What emerges from the synthesis is not a reason for alarm or for avoiding medically necessary imaging, the authors emphasize, but rather a roadmap for safer practice. The review calls for evidence-based referral guidelines specific to pediatric chronic disease populations, so that clinicians weigh the diagnostic yield of each examination against its dose contribution within the context of a child’s total imaging history. It also highlights the importance of standardized imaging protocols optimized for children, including weight- and age-based parameter adjustment, substitution of ultrasound or magnetic resonance imaging where diagnostically equivalent, and the use of dose modulation technologies in CT. Equally critical is dose reporting: recording cumulative effective dose in the patient record so that ordering physicians can see the full picture rather than evaluating each request in isolation. Principles such as ALARA, keeping exposure as low as reasonably achievable, and its extensions emphasizing appropriate use and avoiding unnecessary procedures, are framed as essential operational standards rather than abstract ideals.

The authors also point toward the practical infrastructure needed to make dose stewardship routine. Electronic health record integration of dose-tracking systems, standardized dose metrics across institutions, and education of referring clinicians about the relative doses of different modalities all feature in the review’s recommendations. International collaborative efforts, such as the HARMONIC project cohort studies on radiation exposure in children with congenital heart disease cited within the review, exemplify the kind of multinational, disease-stratified data collection the field needs to quantify risk precisely and track the impact of protection measures over time. The review itself was a literature-based analysis, so no individual patient data were collected, and no ethics approval was required.

For families, the message is one of partnership rather than fear. Parents of children with chronic diseases can and should ask whether each proposed imaging examination is necessary, whether a lower-dose alternative is available, and whether the child’s cumulative imaging history has been considered. For the medical community, the review consolidates more than a decade of evidence into a single argument: the child with a chronic disease is not a series of isolated imaging encounters but a single, longitudinally exposed patient whose total radiation burden deserves active management. As imaging technology continues to advance and dose reduction becomes increasingly feasible, the findings serve as both a benchmark of current exposure levels and a challenge to ensure that the children who depend most on medical imaging are also the best protected from its long-term consequences.

Subject of Research: Cumulative ionizing radiation exposure from medical imaging in pediatric patients with chronic diseases

Article Title: Cumulative ionizing radiation exposure in pediatric patients with chronic diseases: a narrative review

Article References: Eimane, A., Francavilla, M., Grigorjevs, A., Granata, C., Limantoro, I., Olteanu, B.-S., Sofia, C., Nievelstein, R. A., Kardos, M., Kasznia-Brown, J., Salerno, S., & Apine, I. (2026). Cumulative ionizing radiation exposure in pediatric patients with chronic diseases: a narrative review. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06785-x

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06785-x

Keywords: pediatric radiology, cumulative radiation dose, ionizing radiation, CT, fluoroscopy, radiation protection, chronic disease, effective dose, congenital heart disease, scoliosis, medical imaging, ALARA

Neonatal pneumothorax is a deceptively difficult diagnostic target. It occurs in roughly 0.05 to 2 percent of all newborns and in as many as 9.2 percent of very preterm infants who require respiratory support. While many cases resolve on their own, others deteriorate rapidly into hypoxemia or hemodynamic instability demanding urgent intervention. The standard screening tool, a supine anteroposterior chest X-ray, is far from perfect. A recent meta-analysis reported pooled sensitivity of 82 percent and specificity of 96 percent for physician-interpreted supine neonatal chest radiography. The fundamental problem is geometric: when a baby lies on its back, free air collects anteriorly or medially in the chest rather than at the lung apex, exactly where radiologists are trained to look in upright adults. Combine that with a tiny thoracic volume, mediastinal overlap, poor inspiration, and often coexisting lung disease, and even skilled readers can overlook a clinically significant air leak.

Existing artificial intelligence tools do not simply transfer to this population. When software approved for adults was applied to pediatric chest radiographs, diagnostic performance varied sharply by age, and children aged two years or younger accounted for 81.5 percent of the incorrect predictions. That sobering statistic motivated the research team to build a model designed specifically for the youngest patients. Their approach relied on a ResNet-18 convolutional neural network, initialized with ImageNet weights and then further pre-trained in a self-supervised manner on 1,802 publicly available normal adult chest radiographs, allowing the encoder to learn general radiographic features such as lung-field structure, rib and soft-tissue contrast, and texture before ever encountering a neonatal image.

The training pipeline was architecturally sophisticated. After self-supervised pre-training, the researchers fine-tuned a teacher model on neonatal radiographs, then trained a student model of identical architecture using knowledge distillation, a technique in which the student learns not only from hard binary labels but also from the softened probability distributions produced by the teacher. The team reports that the full configuration, combining adult-chest pre-training with distillation, outperformed both plain ImageNet initialization and adult pre-training without distillation on the test set. Each radiograph was preprocessed into a three-channel image containing original, lighter, and darker versions, a clever trick to simulate the brightness variability of real bedside imaging and force the model to learn exposure-insensitive features.

The dataset itself was formidable. Drawing on fourteen years of records, from January 2011 to December 2024, at a single tertiary university hospital, the researchers assembled 648 pneumothorax radiographs from 288 neonates and 5,511 control radiographs from 3,377 neonates who never developed the condition. A pediatric surgeon and a neonatologist, each with more than a decade of clinical experience, jointly reviewed every image to establish reference labels, recording laterality and anatomical distribution of the air collections. Data were split at the patient level into training, validation, and test sets in a 7:1:2 ratio, ensuring that no infant’s images leaked across partitions. An eight-fold cross-validation procedure then fixed the decision threshold at 0.06, selected to maximize specificity while keeping sensitivity at or above 90 percent, a prespecified constraint reflecting the model’s intended role as a screening and decision-support tool where missed cases are the costliest errors.

On the held-out test set of 1,231 images, the model delivered an AUC of 0.975, with sensitivity of 87.6 percent, specificity of 95.3 percent, accuracy of 94.5 percent, and a negative predictive value of 98.5 percent, meaning a negative result was highly trustworthy. Patient-level analyses, whether using the earliest radiograph per neonate or averaging probabilities across all of a baby’s films, yielded nearly identical AUCs of 0.976 and 0.977. The Brier score of 0.0309 indicated reasonable calibration, although the calibration curve showed some deviation in the intermediate and high probability ranges where few observations existed. The positive predictive value of 68.5 percent, however, means roughly one in three positive alerts was a false positive, which the authors caution could burden clinicians with unnecessary urgent reviews if the model were deployed naively as a standalone rule-in test.

Interpretability analysis added an intriguing wrinkle. Using gradient-weighted class activation mapping, or Grad-CAM, the team examined whether the model’s visual attention landed on the correct lung. Among 163 lung-level evaluations, activation matched the clinically determined side in 91.3 percent of right-lung instances but only 67.6 percent of left-lung instances, a statistically significant disparity. The researchers attribute this asymmetry partly to the greater radiographic complexity of the left hemithorax, where overlap from the cardiac silhouette and mediastinal structures obscures pleural air, and partly to dataset imbalance: right-sided pneumothoraces appeared in 80.7 percent of the positive films versus 64.8 percent for the left side, leaving the model with fewer examples of left-sided patterns, particularly lateral lesions, to learn from.

Perhaps the most clinically revealing finding came from logistic regression of misclassification factors. Transient tachypnea of the newborn, a common condition marked by perihilar congestion and delayed clearance of fetal lung fluid, was independently associated with model error, with an odds ratio of 1.88, while gestational age also contributed modestly with an odds ratio of 1.10 per week. Transient tachypnea appeared in 32.7 percent of false positives and fully half of all false negatives. The interpretation is that deep networks read the whole image rather than isolated signs, so background pulmonary abnormalities can either mimic pneumothorax patterns or camouflage true ones. The model, in other words, is sensitive not just to the pathology itself but to the radiographic context in which it sits, a lesson likely to generalize across pediatric AI systems.

The authors are careful about scope. The study is retrospective and single-center, the reference standard rested on consensus radiograph review rather than ultrasound or CT confirmation, no pediatric radiologist participated in annotation, and no direct comparison with physician readers was performed. External and prospective validation is explicitly warranted before any clinical implementation. Yet the trajectory is clear and exciting. The performance achieved here is comparable to or better than adult pneumothorax AI models, which typically report AUCs between 0.87 and 0.98, and it slightly exceeds NeoCLIP, a recent self-supervised neonatal foundation model that achieved an AUC of 0.93 for pneumothorax across multiple findings. Positioned as a screening adjunct rather than an autonomous diagnostician, with positive outputs always paired with clinical judgment, this neonate-specific model suggests that age-tailored AI can finally give the smallest and most vulnerable patients the diagnostic safety net their adult counterparts have begun to enjoy.

Subject of Research: Development of a deep learning model for detecting pneumothorax on supine chest radiographs of newborns

Article Title: Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs

Article References: Sanmoto, Y., Gao, Q., Hitaka, D., Zhu, X., & Masumoto, K. (2026). Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06778-w

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06778-w

Keywords: artificial intelligence, deep learning, neonatal pneumothorax, chest radiography, neonatology, ResNet-18, knowledge distillation, Grad-CAM, computer-aided diagnosis, pediatric radiology, transient tachypnea of the newborn, NICU

The research, led by Sandra Hansmann of the University Children’s Hospital Tübingen together with Johannes Roth of the Children’s Hospital of Central Switzerland and the University of Lucerne, focused on the entheses, the specialized zones where tendons and ligaments anchor into bone. These structures are far more than simple attachment points. They comprise tendon fibers, fibrocartilage, and associated bursae, forming what researchers call the enthesis organ. In adults, enthesitis, or inflammation at these sites, is a hallmark of spondyloarthritis and psoriatic arthritis. In children, it defines enthesitis-related arthritis, a category of juvenile idiopathic arthritis associated with substantial disease burden and unfavorable long-term outcomes.

While musculoskeletal ultrasound has become a cornerstone of pediatric rheumatology, and age-related normative data exist for joints, comparable data for entheses have remained sparse. Internationally agreed ultrasound definitions for enthesitis exist only for adults. Because children’s bodies are actively growing, with tendons thickening and cartilage receding as ossification progresses, adult criteria cannot simply be transplanted to pediatric patients. Blood flow detected by Doppler ultrasound, which in an adult strongly suggests inflammation, is frequently a normal finding in growing children whose tissues have high metabolic demands.

To establish a reliable baseline, the team recruited 79 healthy children and adolescents aged 6 to 16 years, the typical age of onset for juvenile enthesitis-related arthritis. Participants with musculoskeletal symptoms, inflammatory diseases, or trauma history were excluded. Each child underwent standardized B-mode and power Doppler ultrasonography of ten tendon insertions at the dominant hip, knee, and ankle, covering sites that are frequently affected in juvenile disease but had been poorly characterized before, including the sartorius and rectus femoris insertions at the pelvis, the gluteus minimus and medius attachments at the greater trochanter, the tibialis posterior and peroneus brevis insertions at the ankle, and the quadriceps, patellar, and Achilles tendons at the knee and heel.

The technical protocol was rigorous. Examinations were performed with an Aplio i800 machine equipped with a high-frequency linear transducer, using low-flow Doppler settings with a pulse repetition frequency of 500 to 750 Hz and low wall filters to maximize sensitivity to slow blood flow. Heel-toe maneuvers of the probe corrected for anisotropy, the artifact that can artificially darken tendon fibers when the ultrasound beam strikes them at an angle. Generous amounts of gel prevented compression of small vessels. Measurements of entheseal thickness were taken at defined positions where the enthesis contacts the bone, orthogonal to the tendon fibers, and every image had to contain identifiable anatomic landmarks to confirm correct positioning.

The results were striking in their consistency. Of 790 entheses scanned, 782 yielded evaluable images, and every single one showed a normal fibrillar pattern on B-mode imaging. No hypoechoic regions, enthesophytes, calcifications, bone erosions, or signs of traction apophysitis such as Sever’s, Osgood-Schlatter, or Sinding-Larsen-Johansson disease appeared in any participant. This stands in sharp contrast to healthy adults, in whom enthesophytes and cortical irregularities are common cumulative wear-related findings. In children, the authors argue, such structural abnormalities appear to be virtually absent during normal growth, making them highly specific indicators of genuine pathology when they do occur.

Reliability measurements reinforced confidence in the technique. Intraclass correlation coefficients for entheseal thickness ranged from 0.84 to 0.99 between observers and from 0.91 to 0.99 within the same observer, values considered high to excellent. Weighted Cohen’s kappa statistics for Doppler grading indicated substantial to perfect agreement. Entheseal thickness, which ranged from 1.0 to 15.2 millimeters depending on site and age, correlated strongly with age, with Pearson coefficients between 0.65 and 0.90 across locations. Notably, hierarchical regression showed that age outperformed height, weight, pubertal stage, sex, and physical activity as the primary determinant of thickness, and no significant sex-specific differences emerged at most sites, suggesting that sexual dimorphism in entheseal morphology has not yet been established in this age range.

The Doppler findings carry the greatest clinical implications. Minor power Doppler activity was detected in 1 to 44 percent of entheses within 2 millimeters of the insertion, rising to 2 to 68 percent within 5 millimeters. Signals clustered at specific locations: the proximal sartorius insertion showed vascularity in 67.5 percent of participants, and the knee entheses in 30 to 40 percent, while the gluteal and peroneus brevis entheses remained largely avascular, with more than 94 percent of scans showing no signal. Physical activity emerged as a correlate for vascularity at the sartorius and distal quadriceps sites, and body weight for the Achilles, but most sites showed no demographic or lifestyle dependencies at all, supporting the interpretation that these signals reflect the physiological vascularity of the developing enthesis organ rather than inflammation.

The authors conclude that pathological Doppler signals in children may require accompanying B-mode abnormalities to be considered meaningful. They propose that a diagnosis of enthesitis on pediatric ultrasound should rest on a combination of morphological abnormalities, age-standardized thickening, and vascularity beyond physiological findings. This multi-parameter approach could reduce overdiagnosis of juvenile idiopathic arthritis, spare children unnecessary treatment, and provide the foundation for internationally agreed definitions and scoring systems for pediatric enthesitis, which currently do not exist.

As a single-center pilot study with a modest sample size, the work requires validation in larger prospective cohorts, and the reliance on still images rather than real-time dynamic assessment represents a limitation. Bilateral measurements in a subset of 19 participants also revealed significant side-to-side differences at the gluteus medius, distal quadriceps, and tibialis posterior entheses, a nuance clinicians will need to consider. Nevertheless, the examination protocol proved highly feasible and well tolerated even in young children, and its flexible design allows clinicians to focus on specific entheses in routine practice. By charting the normal landscape of the growing enthesis, the study gives pediatric rheumatologists, for the first time, a credible map of where normal ends and disease begins.

Subject of Research: Normative B-mode and power Doppler ultrasound characteristics of lower extremity entheses in healthy children and adolescents

Article Title: Musculoskeletal ultrasonography of lower extremity entheses in children and adolescents – a pilot study of normal B-mode and Doppler characteristics

Article References: Hansmann, S., & Roth, J. (2026). Musculoskeletal ultrasonography of lower extremity entheses in children and adolescents – a pilot study of normal B-mode and Doppler characteristics. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06784-y

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06784-y

Keywords: musculoskeletal ultrasound, entheses, pediatric rheumatology, juvenile idiopathic arthritis, enthesitis, power Doppler, B-mode ultrasonography, healthy children, lower extremity, normative data, Pediatric Radiology, tendon insertion

The clinical stakes are considerable. Endotracheal tubes, or ETTs, are inserted through the mouth or nose into the trachea to deliver mechanical ventilation in intensive care units and operating rooms. When properly positioned, the distal tip of the tube should terminate between the thoracic inlet and the carina, the ridge where the trachea divides into the two main bronchi. But malposition is strikingly frequent in children, with reported incidences reaching up to 35 percent in infants younger than one year and more than 10 percent in children up to age ten. A tube inserted too far can enter one bronchus and ventilate only a single lung, causing hypoxemia, pneumothorax, or even death; a tube placed too high risks accidental extubation and vocal cord injury.

Because these risks demand constant vigilance, chest radiography remains the standard method for confirming tube placement after intubation and during follow-up, generating a relentless stream of images that radiologists must interpret alongside everything else in pediatric intensive care and emergency settings. Artificial intelligence has already made meaningful inroads on this problem for adults, with multiple deep learning systems demonstrating the ability to detect tubes, segment their course, and measure the distance from the tube tip to the carina. What works in adults, however, does not automatically translate to children. Pediatric chest radiographs are far more heterogeneous, shaped by dramatic variation in body size, lung and skeletal development, and imaging technique across the age spectrum from premature neonates to teenagers.

There was another, more subtle flaw in much of the existing research that the Cincinnati team set out to fix. Most prior studies trained and evaluated their segmentation algorithms only on images already known to contain a tube. That simplification makes model development easier but bears little resemblance to clinical reality, where radiologists interpret every radiograph without knowing in advance whether a device is present. Applied to images without tubes, standalone segmentation models tend to hallucinate, mistaking tracheostomy tubes, feeding tubes, and other radiopaque lines for endotracheal tubes. Such false-positive segmentations go unnoticed by conventional localization metrics, which are typically computed only on images where the tube was correctly found.

To build a system suited to the messiness of real practice, the researchers assembled a cohort of 1,000 pediatric chest radiographs drawn from 28,188 single-view studies performed at their institution during 2021, representing 553 patients younger than 18. The cohort was deliberately balanced, comprising 476 tube-positive and 524 tube-negative images, with the negative cases including other indwelling devices such as tracheostomy and enteric tubes as well as images free of any lines. After re-review, 24 images initially tagged as tube-positive were reassigned. Three trained data analysts, supervised by a pediatric radiologist with 18 years of experience, manually created pixel-level segmentation masks of the full tube course using the open-source 3D Slicer platform, and distal tip coordinates were independently annotated by two pediatric radiologists whose disagreement, quantified as a mean absolute error of 2.01 millimeters on the test set, served as a human benchmark.

The pipeline itself operates in two stages. Every image is first zero-padded to a square, resized to 1,024 by 1,024 pixels, and enhanced with contrast-limited adaptive histogram equalization, a technique that sharpens local contrast in radiographic structures. A stage-one classification model then decides whether a tube is present at all. The team benchmarked five backbone architectures, including Inception, ResNet, DenseNet, MobileNet, and a Vision Transformer, each initialized with ImageNet pre-trained weights, and tested both frozen feature extraction and full fine-tuning across 20 configurations. A ResNet classifier with a 128-node fully connected head, trained with fine-tuning, won out on validation performance. If the classifier reports no tube, the pipeline stops; otherwise the image passes to a stage-two U-Net segmentation model, selected from nine architectural variants, that traces the entire course of the tube. Postprocessing keeps only the largest connected component of the predicted mask, and a classic thinning algorithm detects the mask’s endpoint to yield the distal tip coordinates.

On a held-out test set of 220 images the pipeline’s results were striking. Detection accuracy reached 97.7 percent, with an area under the receiver operating characteristic curve of 0.994, and performance was statistically indistinguishable between younger and older children and between boys and girls, suggesting the model carries no obvious age- or sex-related bias. Grad-CAM visualization, a technique that highlights which image regions drive a neural network’s decisions, showed the classifier attending to anatomically meaningful structures such as the upper trachea and carina rather than spurious features. For localization, the pipeline achieved a Dice similarity coefficient of 0.74 for mask overlap and a mean tip localization error of 6.59 millimeters. Notably, incorporating the classification stage slashed false-positive segmentations on tube-negative images from 17 to just 3 compared with the standalone segmentation model, at the cost of only two false negatives.

The error analysis reveals both the promise and the remaining gaps. In the single false-negative case, the classifier assigned a tube probability of just 0.06, below the optimized threshold of 0.2, because the tube sat unusually high with only a short segment visible. In a representative false positive, the model mistook an enteric tube and an esophageal probe for a breathing tube, a reminder that other tubular devices remain the chief source of confusion. Bland-Altman analysis showed that the model estimates the tube tip’s lateral position on the image with tight precision, but its vertical estimate, which corresponds most closely to the clinically critical depth of the tube, carried far wider limits of agreement. The authors caution that image-based measurements also depend on patient positioning and tracheal orientation and cannot be read directly as anatomical depth.

Honest benchmarking against human performance tempers the enthusiasm. The radiologists disagreed with each other by only about 2 millimeters, while the AI’s 6.59 millimeter average error remains well above that human-level agreement, a gap that matters most in the smallest neonates, where a few millimeters can separate a safe tube position from a dangerous one. The study also has other limits: it is a single-center retrospective pilot, the cohort skewed toward younger children, and the pipeline detects and localizes tubes without yet judging whether the position is appropriate relative to landmarks like the carina, a capability the team says could come from adding automated carina detection in future work. Still, by proving that a two-stage design can tame the false-positive problem in mixed clinical populations, the Cincinnati team has laid a credible foundation for AI systems that could one day triage post-intubation films in pediatric ICUs worldwide, flagging misplaced tubes for urgent human review before complications ever develop.

The design choices behind the study reflect deliberate responses to known pitfalls in medical imaging AI. The balanced target of roughly 500 tube-positive and 500 tube-negative images was chosen to minimize class imbalance during development, and the sample size was informed by an earlier adult deep learning study that succeeded with only 292 tube-positive radiographs. The Cincinnati team reasoned that the greater anatomical variability of children warranted a substantially larger positive sample, illustrating how pediatric AI research often requires more data than comparable adult work to reach similar reliability.

The annotation workflow also merits attention as a model for scalable ground-truth creation. Rather than relying solely on scarce radiologist time, the investigators trained three data analysts with two to three years of experience to draw pixel-level masks in 3D Slicer, after which a supervising pediatric radiologist with 18 years of experience reviewed and corrected every mask. Distal tip coordinates were annotated independently by two radiologists, and the average of their coordinates served as the evaluation reference. This tiered approach, in which analysts perform labor-intensive tracing while physicians verify, offers a practical template for other institutions seeking to build annotated pediatric imaging datasets without exhausting specialist capacity.

Image preparation played a quiet but important role in performance. All radiographs were zero-padded along the shorter dimension to preserve aspect ratio, resized to 1,024 by 1,024 pixels, and processed with contrast-limited adaptive histogram equalization, which enhances local contrast in ways that help neural networks distinguish thin radiopaque devices from surrounding soft tissue and bone. Such preprocessing steps are often decisive in radiograph analysis, where tube visibility varies with patient size and exposure technique.

The open-access publication lowers barriers for other pediatric centers to reproduce or extend the work. Because the pipeline separates detection from localization, future modules such as automated carina detection or position classification could be layered onto the existing framework, moving the field closer to fully automated assessment of tube placement in children.

Subject of Research: Automated detection and localization of endotracheal tubes on pediatric chest radiographs using a two-stage deep learning pipeline

Article Title: A two-stage deep learning pipeline for automated detection and localization of endotracheal tubes on pediatric chest radiographs: a pilot study

Article References: Li, H., Zhang, B., Somasundaram, E., Shabanian, M., Taylor, Z., Mahalingam, N., Lu, Z., Zhang, B., Standage, S. W., Schooler, G. R., He, L., & Towbin, A. J. (2026). A two-stage deep learning pipeline for automated detection and localization of endotracheal tubes on pediatric chest radiographs: a pilot study. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06767-z

Image Credits: AI Generated

DOI: 10.1007/s00247-026-06767-z

Keywords: artificial intelligence, deep learning, pediatric radiology, endotracheal tube, chest X-ray, image segmentation, U-Net, ResNet, pediatric intensive care, computer vision, medical imaging, tube localization

The investigation conducted by Pehlivan and Huseynov reveals how variations like the retropsoas appendix can transcend typical surgical and diagnostic expectations. Pediatric cases, while often routine, present unique challenges that demand a high degree of attention from radiologists and healthcare professionals alike. Understanding these nuances can drastically improve diagnosis accuracy, ensuring that conditions are not overlooked in young patients who might lack the ability to articulate their symptoms.

One of the key facets of this study is the emphasis on the role of advanced imaging techniques. Computed tomography stands out as a non-invasive method that provides high-resolution images crucial for identifying anatomical anomalies. The detailed cross-sectional images obtained through CT scans enable radiologists to visualize structures that may be obscured during traditional examinations. This becomes especially critical in pediatric health, where anatomical variations can lead to misdiagnosis and improper treatment plans if not accurately assessed.

The discovery of the retropsoas appendix vermiformis in these pediatric cases highlights a key educational opportunity within the medical community. It serves as a reminder of the diverse anatomical landscape practitioners must navigate in their clinical practice. Radiologists are encouraged to hone their skills in recognizing such anomalies, which will ultimately enhance their diagnostic acumen and patient outcomes. The cases presented in this study not only emphasize the need for continuous education but also the importance of collaborative discussions amongst pediatricians and radiologists.

Furthermore, one cannot underestimate the implications of such findings on surgical planning. When anomalies like the retropsoas appendix are identified, the surgical approach may need significant reevaluation. Surgeons operating on pediatric patients must be aware of potential variations in anatomy that could complicate procedures. This study serves as a narrative to underscore how incorporating knowledge of such anomalies can facilitate more effective and safer surgical interventions.

The diagnostic process also extends far beyond the identification of anomalies. It involves synthesizing a multitude of factors, including patient history, clinical presentation, and imaging studies. The retropsoas appendix vermiformis could easily be dismissed if a thorough investigation is not conducted. This study effectively reinforces the necessity of a comprehensive approach to patient evaluation, shedding light on the importance of radiologists’ intuition in discerning between normal and aberrant structures.

Pediatric cases often challenge the limits of medical understanding, necessitating innovative approaches and a commitment to ongoing research. The findings of this study advocate for a robust dialogue within the medical community, highlighting the synergy between radiology and surgery in effectively managing children’s health. By fostering a culture of inquiry and collaboration, healthcare professionals can push the boundaries of existing knowledge, ultimately leading to improved patient care.

The unique nature of the retropsoas appendix provides a fascinating glimpse into the human anatomy’s complexity. As an anatomical variant, it embodies the diversity found within our bodies. Educating future generations of medical professionals about such peculiarities will be crucial. It empowers them to navigate the technicalities of human anatomy with confidence and precision, which will be instrumental in their medical endeavors.

Moreover, the cases prompt us to consider the implications of such anomalies on our understanding of embryological development. The retropsoas position of the appendix may relate to various developmental processes that warrant further exploration. As researchers delve into the intricacies of human fetal development, uncovering how such anatomical positions arise could pave the way for significant insights into congenital variations and their clinical manifestations.

In a world where clinical excellence is defined by precision, this study exemplifies the relentless pursuit of knowledge that characterizes the medical field. Each case adds another layer to our understanding of normal and abnormal anatomy, gradually enriching the tapestry of medical science. As we continue to unravel the complexities of human anatomy, pediatric cases such as those discussed herein make significant contributions to both education and clinical practice.

Ultimately, the retropsoas appendix vermiformis serves as a beacon of curiosity within the expansive field of pediatric medicine. It compels radiologists and surgeons to maintain a vigilant awareness of anatomical diversity while serving to inspire future research. As medical professionals, the willingness to delve into the unknown could lead to breakthroughs that not only enhance individual practices but also contribute profoundly to the broader field of medicine.

In conclusion, as more studies like this emerge, the continued exploration of anatomical anomalies promises to yield invaluable insights that transcend conventional medical knowledge. The pediatric population, particularly, stands to benefit from the cumulative wisdom gained through diligent research and clinical practice. Pehlivan and Huseynov’s case findings are thus not merely academic; they represent stepping stones towards enhanced patient care through understanding, appreciation, and recognition of the marvel that is human anatomy.

Subject of Research: Retropsoas appendix vermiformis in pediatric cases detected via computed tomography.

Article Title: Retropsoas appendix vermiformis: two incidentally detected pediatric cases on computed tomography.

Article References:

Pehlivan, U., Huseynov, M. Retropsoas appendix vermiformis: two incidentally detected pediatric cases on computed tomography.
Pediatr Radiol (2025). https://doi.org/10.1007/s00247-025-06450-9

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s00247-025-06450-9

Keywords: Retropsoas appendix vermiformis, pediatric radiology, computed tomography, anatomical anomalies, surgical implications.