The pelvis, serving as a cornerstone for spinal fixation, exhibits significant morphological variation between sexes, historically acknowledged but rarely quantified with surgical precision. The latest insights from Mount Sinai demonstrate that men typically possess a narrower pelvic anatomy, resulting in a more medial starting position for S2AI screws. This subtle anatomical nuance drives clinically relevant challenges in achieving optimal rod alignment, a crucial factor for mechanical integrity and postoperative outcomes in spinal fusion procedures.

Technically, S2AI screws anchor the spinal construct to the pelvis, providing enhanced stability across the lumbosacral junction. Misalignment here can precipitate complications ranging from hardware failure to increased surgical times due to difficulties in rod contouring and fitting. The Mount Sinai team’s retrospective cohort analysis, comprising 185 cases from a single institution and involving multiple experienced surgeons, meticulously assessed postoperative radiographs and computed tomography scans to quantify these sex-related discrepancies.

Data revealed that male patients exhibited a significantly reduced distance between the posterior superior iliac spines (PSIS), averaging 7.1 cm compared to 8.1 cm in females. This constricted pelvic anatomy in men prompted a medialized screw entry point, which consequently forced rods to converge medially rather than maintain the ideal parallel orientation. Such malalignment necessitates enhanced rod bending intraoperatively, potentially compromising construct biomechanics and prolonging operative duration.

Further compounding these findings, the angular deviation of implant rods distally was markedly different between sexes. In males, rods showed an average convergence of −12.3 degrees, while females exhibited a divergence of +7.6 degrees, underscoring a pronounced divergence in spinal hardware alignment correlated with pelvic morphology. This novel quantification bridges a critical knowledge gap in spinal surgery, providing objective metrics to guide preoperative planning.

Clinically, these revelations bear profound implications. Surgeons must now anticipate sex-specific anatomical challenges when strategizing screw trajectories and fixation methods. The study advocates incorporating advanced intraoperative technologies such as navigation and robotics to mitigate alignment obstacles and reduce the need for excessive rod contouring. These adaptations promise to streamline complex procedures, decrease hardware-related complications, and ultimately enhance patient outcomes.

Mount Sinai’s research team underscores the study’s uniqueness, marking the first comprehensive effort to systematically characterize sex-based pelvic influences on S2AI screw placement and lumbosacral rod alignment within an adult deformity population. This pioneering work sets a critical precedent for future investigations, including biomechanical modeling and prospective clinical trials aimed at validating personalized surgical approaches.

The implications extend beyond technical refinements. In the era of precision medicine, understanding intrinsic anatomical variations enables the formulation of individualized surgical roadmaps, optimizing construct stability and patient recovery trajectories. This tailored approach exemplifies a paradigm shift toward integrating anatomical nuances with technological advancements in spine surgery.

Looking forward, the Mount Sinai researchers emphasize the need to evaluate whether these anatomical and biomechanical distinctions translate into measurable variations in long-term clinical outcomes such as implant longevity, rates of pseudarthrosis, and patient-reported quality of life indices. Such insights could revolutionize criteria for surgical candidacy and postoperative care algorithms.

Dr. James D. Lin, MD, MS, the study’s senior author, highlights, “Recognizing the anatomical diversity that underlies male and female pelvises compels us to rethink standardized approaches in spinal fixation. Our findings confirm that sex-specific strategies are not merely beneficial but necessary to elevate surgical precision and efficacy.” He further acknowledges contributions from Mount Sinai’s dedicated trainees, whose involvement was pivotal to this impactful discovery.

Mount Sinai Health System continues to be at the forefront of innovative healthcare solutions, marrying cutting-edge research with clinical excellence. This study exemplifies the institution’s commitment to advancing surgical science and enhancing individualized patient care, reinforcing Mount Sinai’s position as a leader in spinal deformity treatment.

As spinal surgery evolves, integrating comprehensive anatomical assessments with evolving technology will be essential. The insights derived from this seminal study provide a concrete foundation for transforming surgical paradigms, emphasizing the critical role of sex-specific pelvic anatomy in shaping successful spine surgery outcomes.

Subject of Research: Impact of sex-based pelvic anatomical differences on S2 alar-iliac screw positioning and lumbosacral rod alignment in adult spinal deformity surgery.

Article Title: Impact of sex on S2-alar-iliac pelvic screw position and lumbosacral rod alignment in adult spine deformity.

Web References: Spine Deformity Journal Article

Keywords: Orthopedics, Spine Surgery, Pelvic Anatomy, Sex Differences, S2 Alar-Iliac Screws, Spinal Deformity, Rod Alignment, Surgical Planning, Biomechanics, Personalized Medicine, Spinal Fusion, Adult Spine Surgery

The research team, comprising experts from Mount Sinai and NYU Langone Health, embarked upon an inquiry to meticulously assess patient priorities concerning spiritual discussions amid the stress-inducing backdrop of cancer treatment. Among the key investigators were Lauren Jacobs, MD, a promising resident in Radiation Oncology at the Icahn School of Medicine at Mount Sinai, Karyn Goodman, MD, MS, Vice Chair for Research and Quality in the Department of Radiation Oncology at Mount Sinai, and the senior author Stella Lymberis, MD, who leads Quality Initiatives and co-heads the GYN Disease Management Group at NYU Langone. Their collective efforts mark the first comprehensive attempt to delineate which elements of spiritual history elicited by clinicians resonate most meaningfully with patients.

Utilizing the validated FICA Spiritual History Tool, originally developed in the late 1990s for primary care settings by Christina Puchalski, MD, the study conducted in-depth interviews with eleven women diagnosed with various gynecological cancers who underwent external beam radiation therapy and/or brachytherapy. Importantly, the study cohort reflected a rich mosaic of faith traditions, encompassing Christianity, Buddhism, Judaism, Islam, and Hinduism. This religious diversity underscores the universal relevance of spirituality in the oncologic journey and challenges the healthcare system to adopt culturally competent and inclusive practices.

The findings revealed an overwhelming affirmation from patients regarding the importance of spirituality in their treatment experience, with 82 percent rating their faith as extremely vital to their well-being. Far from being peripheral, spiritual beliefs emerged as a cornerstone of resilience against the multifaceted stresses induced by both diagnosis and the often invasive nature of gynecologic radiation therapy. The particular invasive procedure of brachytherapy, which involves placing radioactive sources inside or near the tumor site, was noted for its capacity to evoke profound psychological distress, underscoring the necessity for holistic support systems encompassing spiritual care.

Intriguingly, the study identified six specific questions from the FICA tool that patients uniformly valued as catalysts for meaningful dialogue. Among these, two queries stood out for their efficacy in bridging clinician-patient conversations: “Do you have spiritual beliefs that help you cope with stress?” and “Have your beliefs influenced you in how you handle stress?” These questions not only open channels for emotional expression but also validate the patient’s internal framework for navigating illness, which traditional medical consultations may overlook.

The implications of such findings bear substantial weight in clinical practice. Prior research indicates that nearly one-third of cervical cancer patients develop acute stress symptoms following treatment, with post-traumatic stress manifesting in over 40 percent of cases in subsequent months. By integrating spiritual assessments into routine oncology care, clinicians can foster an empathic environment that mitigates psychological trauma and promotes a more nuanced, patient-centered model of treatment. This approach aligns with emerging mandates to transcend purely biomedical paradigms and embrace psychosocial dimensions of healing.

Dr. Jacobs emphasized that the introduction of spirituality-centered queries can enrich patient interactions without imposing significant extensions on consultation times, which are often constrained in busy clinical settings. The strategic incorporation of these targeted questions can catalyze productive discussions that empower patients, allowing them to articulate their needs and receive tailored emotional support alongside their physical care. The ability to couple such dialogue with effective radiation therapy represents a significant advance in comprehensive cancer treatment.

Dr. Goodman further highlighted that patients’ voices unequivocally convey the salience of spiritual health, equating its importance with their physical well-being. This acknowledgment invites a paradigm shift in oncology, urging clinicians to reimagine care delivery models that holistically address the biopsychosocial and spiritual dimensions of health. The study advocates for the normalization of these conversations across oncology disciplines, heralding a more compassionate and integrative standard of care.

Looking forward, the research cadre intends to expand the investigation to a larger cohort, broadening its scope to include patients at earlier stages of their cancer trajectory—from diagnosis through pre-treatment phases—and eventually to other cancer types. This longitudinal and cross-sectional expansion will generate a robust evidence base to establish best practices in spiritual care integration. Crucial to this mission is the development of standardized protocols and comprehensive training modules designed to equip clinicians and trainees with the skills necessary to engage patients in spiritual dialogues confidently and respectfully.

The study’s innovative approach aligns with the growing recognition of spiritual care as a key component of patient-centered oncology. It contributes seminal data to a field that, until now, has largely relegated such considerations to the periphery. By operationalizing the FICA Spiritual History Tool in a radiation oncology context, the researchers have laid a foundation for systematic incorporation of spirituality into oncologic care workflows, with promising potential to improve clinical outcomes and quality of life for patients facing gynecologic cancers.

This research not only enriches the dialogue on spiritual health in oncology but also exemplifies the dynamic, multidisciplinary collaborations possible within large academic medical centers. Through this lens, Mount Sinai and NYU Langone Health have set a precedent for leveraging clinical insights, patient narratives, and validated tools to transform cancer care holistically—addressing mind, body, and spirit in unison.

As cancer treatment modalities continue to evolve and patient populations diversify, embracing spirituality as a therapeutic ally offers a pragmatic and compassionate avenue to support emotional resilience. This study calls for a reevaluation of oncologic care frameworks, urging healthcare providers, policymakers, and educators to champion spiritual inclusivity as an integral element of comprehensive cancer therapy.

Subject of Research: People
Article Title: Understanding Patient Priorities for Religious and Spiritual Needs During Radiation Therapy for Gynecological Malignancies
News Publication Date: 30-Sep-2025
Web References: http://dx.doi.org/10.1016/j.prro.2025.03.012
References: Puchalski, Christina M., et al. “The FICA Spiritual History Tool.” Journal of Pain and Symptom Management, 1999.
Image Credits: Not provided
Keywords: Radiation therapy, Spirituality

A key focus will be the development of AI models capable of accurately predicting chronic respiratory failure in COPD patients through analysis of multiple blood biomarkers. Current prognostic tools have struggled to reliably anticipate the trajectory of COPD, a complex condition exhibiting considerable heterogeneity in disease progression and treatment response. Mount Sinai researchers demonstrate how integrating multi-biomarker panels via machine learning algorithms can surpass traditional clinical prediction models, offering personalized insights into disease severity, potential exacerbations, and the timing of respiratory failure. This dynamic approach could revolutionize COPD management by allowing clinicians to tailor interventions based on biological signatures rather than solely clinical assessment.

In a complementary domain, Mount Sinai investigators are pushing the boundaries of AI applications in sleep medicine. Obstructive sleep apnea, a prevalent yet underdiagnosed respiratory disorder, is known for its variable connection between clinical severity—typically measured by apnea-hypopnea index (AHI)—and symptoms such as excessive daytime sleepiness. Leveraging physiology-guided machine learning, researchers are integrating ventilation, hypoxia, arousal, and autonomic nervous system data to develop more robust predictive models for sleepiness. Such models hold immense promise for refining patient stratification, optimizing treatment choices, and elucidating the multifactorial pathophysiology underpinning OSA symptoms.

Further innovations in AI-assisted imaging are also being showcased. One breakthrough involves the creation of deep learning methods for identifying central and upper airway obstructions from pulmonary function test (PFT) flow-volume loops. Traditional visual inspection protocols suffer from low sensitivity, often missing subtle airway narrowing that correlates with clinical respiratory distress. By training AI systems on large datasets of flow-volume curves, Mount Sinai’s team has engineered a tool capable of automatically detecting signature plateau patterns indicative of airway obstruction, enabling earlier and more objective diagnosis. This technology could significantly enhance the clinical utility of PFTs and reduce diagnostic delays in patients presenting with dyspnea.

The integration of hybrid PET/MRI imaging with AI analytics forms another frontier in Mount Sinai’s research portfolio. Using 18F-fluoro-2-deoxy-D-glucose (18F-FDG) PET combined with MRI scans, researchers quantify both visceral and subcutaneous adipose tissue volumes and metabolic activity in patients with OSA before and after continuous positive airway pressure (CPAP) therapy. AI-driven segmentation accelerates the annotation process, facilitating nuanced examinations of how abdominal obesity contributes to cardiovascular disease risk in sleep apnea patients. These insights are crucial as visceral adiposity emerges as a key mediator linking OSA with adverse cardiometabolic outcomes, challenging previous assumptions about CPAP’s cardiovascular benefits.

Mount Sinai’s accomplishments extend into the realm of genomics and molecular biology, particularly in elucidating asthma’s heterogeneity. The ATLANTIS study, an extensive multi-center investigation, examines small airway disease and inflammatory pathways through transcriptomic analyses of nasal epithelial samples. Novel findings reveal associations between cellular senescence genes—specifically MMP2 and FN1—and asthma susceptibility and severity. Further computational approaches applied to bulk RNA sequencing data have identified circular RNAs (circRNAs) potentially involved in asthma pathogenesis, representing a promising avenue for biomarker discovery and targeted therapies aimed at discrete asthma endotypes.

Clinically rare but consequential phenomena are also under the microscope, such as spontaneous lung intercostal herniation (SLIH) and its complications. Mount Sinai clinicians present a case of SLIH triggered by severe coughing in a COPD patient, highlighting the need for increased awareness of such extraordinary presentations. Additionally, they investigate pulmonary embolism readmissions and complications, offering a data-driven perspective on predictors of acute care utilization in thromboembolic disease. These studies deepen the understanding of complex pulmonary conditions beyond common paradigms.

Beyond disease-specific inquiries, Mount Sinai’s research underscores the pervasive impact of environmental and behavioral factors on respiratory health. For instance, heavy marijuana use and vaping are implicated in rare but severe pulmonary complications such as the Macklin effect—air dissecting through bronchovascular sheaths post-alveolar rupture—with notable implications for asthma exacerbations. Similarly, explorations into sleep architecture irregularities in ICU patients link distinctive atypical N3 (AN3) sleep patterns to neurological outcomes like sepsis-associated encephalopathy, underscoring the interplay between critical care environments and respiratory neurology.

Mount Sinai’s clinicians and researchers are also addressing systemic issues in lung cancer screening and management. Given that millions of incidental lung nodules (ILNs) are identified annually—in a context where a substantial proportion of nodules are lost to follow-up—Mount Sinai has implemented an innovative incidental lung nodule program leveraging natural language processing for efficient patient tracking. Early data demonstrate improved follow-up rates and earlier lung cancer detection, highlighting the potential of informatics and AI to enhance cancer screening workflows and reduce healthcare disparities.

Underpinning much of this pioneering work is the strategic integration of AI, machine learning, and computational biology within Mount Sinai’s academic and clinical ecosystem. By fusing cutting-edge technology with clinical insight, Mount Sinai is driving a paradigm shift towards precision respiratory medicine. Their commitment to leveraging large datasets, advanced imaging modalities, and novel computational tools epitomizes the frontier of pulmonary research, aiming not only to improve diagnostic accuracy but also to unlock new pathways for therapeutics tailored to individual patient profiles.

Moreover, this confluence of AI and respiratory medicine resonates beyond academia. As respiratory diseases like COPD, asthma, and OSA continue to impose significant morbidity and mortality worldwide, innovations such as those emerging from Mount Sinai are poised to influence clinical guidelines and public health policies. By advancing early detection, refining phenotyping, and unraveling complex disease mechanisms, these discoveries promise to reduce health disparities and improve patient quality of life on a global scale.

The Mount Sinai Health System, with its robust infrastructure integrating hospitals, outpatient centers, research laboratories, and educational institutions, exemplifies a holistic approach to healthcare innovation. Its recognition by leading rankings, including U.S. News & World Report’s “Best Hospitals” Honor Roll and Newsweek’s “World’s Best Smart Hospitals,” validates its position at the vanguard of medical research and clinical excellence.

As the ATS 2025 conference unfolds, the respiratory community will closely watch Mount Sinai’s presentations for insights that will likely catalyze future research, clinical practices, and AI applications in the field. This convergence of data science, molecular biology, and clinical medicine heralds a new era in understanding and managing respiratory diseases, promising improved outcomes for millions affected worldwide.

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Subject of Research: Applications of Artificial Intelligence and Machine Learning in the Diagnosis and Management of Respiratory Disorders including COPD, Asthma, Obstructive Sleep Apnea, and Lung Cancer

Article Title: Leading Pulmonologists from Mount Sinai Unveil Breakthrough Research on AI-Driven Respiratory Disease Diagnosis and Treatment at ATS 2025

News Publication Date: May 21, 2025

References: Research presented at the American Thoracic Society (ATS) 2025 International Conference

Image Credits: The Mount Sinai Health System