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	<title>Doppler imaging &#8211; Science</title>
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	<title>Doppler imaging &#8211; Science</title>
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		<title>3D Placental Ultrasound Models Predict Preeclampsia Weeks Before Symptoms Appear</title>
		<link>https://scienmag.com/3d-placental-ultrasound-models-predict-preeclampsia-weeks-before-symptoms-appear/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 00:36:43 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[3D placental ultrasound imaging]]></category>
		<category><![CDATA[3D ultrasound]]></category>
		<category><![CDATA[Doppler imaging]]></category>
		<category><![CDATA[early detection of preeclampsia]]></category>
		<category><![CDATA[early-onset and late-onset preeclampsia]]></category>
		<category><![CDATA[early-onset preeclampsia]]></category>
		<category><![CDATA[late-onset preeclampsia]]></category>
		<category><![CDATA[maternal clinical data]]></category>
		<category><![CDATA[nomogram]]></category>
		<category><![CDATA[nomogram development for preeclampsia]]></category>
		<category><![CDATA[obstetrics]]></category>
		<category><![CDATA[placental health assessment]]></category>
		<category><![CDATA[placental perfusion]]></category>
		<category><![CDATA[placental remodeling and disease prediction]]></category>
		<category><![CDATA[placental volume]]></category>
		<category><![CDATA[prediction model]]></category>
		<category><![CDATA[preeclampsia]]></category>
		<category><![CDATA[preeclampsia prediction]]></category>
		<category><![CDATA[Pregnancy]]></category>
		<category><![CDATA[pregnancy complication prediction]]></category>
		<category><![CDATA[pregnancy risk stratification]]></category>
		<category><![CDATA[prenatal diagnostic techniques]]></category>
		<category><![CDATA[ultrasound-based predictive models]]></category>
		<category><![CDATA[uterine artery pulsatility index]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=239734</guid>

					<description><![CDATA[Researchers in China have developed trimester-specific prediction models combining 3D placental perfusion ultrasound with maternal clinical data that accurately identify pregnancies at risk of early- and late-onset preeclampsia.]]></description>
										<content:encoded><![CDATA[<p>Preeclampsia remains one of the most feared complications of pregnancy, a condition that can escalate from mild hypertension to life-threatening seizures within days, and it strikes without warning in women who seemed perfectly healthy at their first prenatal visit. Now a team of researchers in China has reported a new way to peer into the earliest stages of the disease by combining three-dimensional ultrasound imaging of the placenta with maternal clinical data, producing prediction models that they say can identify which pregnancies are likely to develop early-onset and late-onset preeclampsia months before any symptom appears. The study, published in Reproductive Sciences, followed more than 1,600 pregnant women prospectively and converted the results into practical scoring charts, known as nomograms, that clinicians could eventually use at the bedside.</p>
<p>The research, led by Ming Liu and Huifeng Wang of the Affiliated Taian City Central Hospital of Qingdao University, together with colleagues from Taian Hospital of Traditional Chinese Medicine, rests on a simple but powerful biological insight. Preeclampsia is widely understood to originate in the placental bed, the zone where the placenta anchors itself into the wall of the uterus. In healthy pregnancies, specialized cells from the placenta remodel the spiral arteries that feed it, transforming narrow, muscular vessels into wide, low-resistance channels that can deliver the enormous blood flow a growing fetus demands. When this remodeling fails, the placenta is starved of perfusion, becomes stressed, and releases factors into the maternal circulation that damage the mother&#8217;s blood vessels, producing the hypertension, protein in the urine, and organ injury that define the disease.</p>
<p>Because the roots of preeclampsia lie in this early vascular failure, the investigators reasoned that the best warning signs should be visible in the first and early second trimesters, long before the placenta&#8217;s distress spills over into maternal symptoms. Their study enrolled 1,602 women carrying singleton pregnancies between October 2020 and May 2025. Each participant underwent detailed assessments at two windows of early pregnancy, between 11 and 14 weeks and again between 15 and 18 weeks of gestation. The team collected standard clinical information, measured the pulsatility index of the uterine arteries, a Doppler marker of resistance in the vessels supplying the womb, and acquired three-dimensional power Doppler volumes of the placenta itself.</p>
<p>Those three-dimensional scans yielded a set of quantitative parameters that go far beyond what a conventional two-dimensional image can offer. The researchers measured placental volume, a direct gauge of how much placental tissue has grown; the placental quotient, which relates placental size to gestational age; and the placental blood flow vascularization index, a power Doppler metric that captures the density of blood vessels and the intensity of flow within the placental tissue. By comparing measurements taken at the two time points, they also calculated a placental vascular growth rate, a dynamic measure of how rapidly the placenta&#8217;s blood supply was expanding during the critical window when spiral artery remodeling should be under way.</p>
<p>As the pregnancies progressed, the participants were followed until delivery, and the outcomes were sorted according to the gestational age at which preeclampsia developed. Twenty-nine women developed early-onset preeclampsia, the form that appears before 34 weeks and carries the greatest risk to both mother and baby. Fifty-eight developed late-onset disease, which emerges at or after 34 weeks and is more common but generally less severe. The remaining 1,515 women served as normal controls. This trimester-specific framing matters because many researchers now view early-onset and late-onset preeclampsia as related but distinct entities, with early-onset disease more tightly linked to failed placental implantation and late-onset disease involving a greater contribution of maternal cardiovascular factors and placental aging.</p>
<p>To build their prediction models, the team used univariable and multivariable Firth&#8217;s logistic regression, a statistical approach designed to perform reliably even when the outcome of interest is rare, as it inevitably is with a condition like early-onset preeclampsia in a general obstetric population. The analysis identified chronic hypertension as an independent risk factor for both forms of the disease, confirming the well-established link between pre-existing maternal cardiovascular disease and preeclampsia. In contrast, higher values of the placental perfusion parameters, including placental volume, placental quotient, and the vascularization index, acted protectively, consistent with the idea that a well-perfused, vigorously growing placenta is far less likely to trigger the maternal syndrome.</p>
<p>The performance of the resulting models was striking, particularly for the early-onset form. The combined model, which integrated maternal clinical characteristics with uterine artery pulsatility index and the three-dimensional placental parameters, achieved an area under the receiver operating characteristic curve of 0.980 for early-onset preeclampsia, with a 95 percent confidence interval of 0.968 to 0.992. An area under the curve of that magnitude indicates near-perfect discrimination within the study cohort, meaning the model separated women who developed early-onset disease from those who did not with remarkable accuracy. For late-onset preeclampsia, the combined model achieved an area under the curve of 0.827, with a confidence interval of 0.765 to 0.889, a level of discrimination that is strong for a condition known to be harder to predict and more heterogeneous in its origins.</p>
<p>Discrimination alone does not make a prediction model clinically useful, so the researchers subjected their models to a battery of validation tests. Bootstrap-based internal validation, in which the model is repeatedly refitted on resampled versions of the same cohort, confirmed acceptable calibration, meaning the predicted probabilities tracked reasonably well with the observed rates of disease. Decision curve analysis, a technique that quantifies the net benefit of acting on a model&#8217;s predictions across a range of risk thresholds, demonstrated positive net clinical benefit, suggesting that using the model to guide decisions would help more patients than it would harm compared with treating everyone or no one. From the optimal combined models, the team constructed static nomograms, graphical scoring tools that allow a clinician to plot an individual patient&#8217;s values for each predictor and read off a personalized probability of developing early-onset or late-onset preeclampsia.</p>
<p>The practical implications could be substantial. Preeclampsia affects a significant share of pregnancies worldwide and imposes enormous costs on health systems, both through acute maternal and neonatal complications and through the elevated long-term cardiovascular risk that affected women carry for the rest of their lives. Low-dose aspirin started early in pregnancy can reduce the risk of preterm preeclampsia, but only if the women who need it can be identified in time. Current first-trimester screening approaches, which combine maternal history with blood pressure, uterine artery Doppler, and serum biomarkers, perform well in some settings but have shown inconsistent results across populations, and many published prediction models have never been validated outside the cohorts in which they were built. A tool based on three-dimensional placental imaging offers a potentially direct window into the pathophysiology itself, measuring the health of the placental bed rather than relying solely on downstream markers.</p>
<p>The authors are careful to note the limits of their work. The study was conducted at a single center, and although internal validation by bootstrap resampling supported the models&#8217; apparent performance, the generalizability of the results to other populations, scanners, and clinical settings remains unclear. External validation in independent cohorts is required before the nomograms can be deployed in routine antenatal screening. The relatively small number of early-onset cases, twenty-nine in total, also means the estimates carry uncertainty, even with the use of regression methods suited to rare outcomes. Still, the study represents one of the most complete attempts to date to fuse dynamic three-dimensional placental perfusion imaging with trimester-specific modeling of both early-onset and late-onset disease. If external validation confirms what this cohort suggests, the humble ultrasound machine, already present in nearly every prenatal clinic on earth, could become a far sharper instrument for spotting, and ultimately preventing, one of pregnancy&#8217;s most dangerous complications.</p>
<p><strong>Subject of Research:</strong> Trimester-specific prediction of early- and late-onset preeclampsia using 3D placental bed perfusion ultrasound parameters and maternal clinical characteristics</p>
<p><strong>Article Title:</strong> 3D Placental Bed Perfusion Ultrasound: Development and Internal Validation of Trimester-Specific Prediction Models for Early- and Late-Onset Preeclampsia</p>
<p><strong>Article References:</strong> Liu, M., Zhou, Z., Li, J., Wang, H., Yu, L., Qi, C., &amp; Wang, H. (2026). 3D Placental Bed Perfusion Ultrasound: Development and Internal Validation of Trimester-Specific Prediction Models for Early- and Late-Onset Preeclampsia. <em>Reproductive Sciences</em>. <a href="https://doi.org/10.1007/s43032-026-02234-0" rel="noopener noreferrer">https://doi.org/10.1007/s43032-026-02234-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s43032-026-02234-0" rel="noopener noreferrer">10.1007/s43032-026-02234-0</a></p>
<p><strong>Keywords:</strong> preeclampsia, early-onset preeclampsia, late-onset preeclampsia, 3D ultrasound, placental perfusion, uterine artery pulsatility index, placental volume, prediction model, nomogram, pregnancy, obstetrics, Doppler imaging</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">239734</post-id>	</item>
		<item>
		<title>Ultrasound Reveals Hidden Secrets of the Knee&#8217;s Forgotten Fat Pad</title>
		<link>https://scienmag.com/ultrasound-reveals-hidden-secrets-of-the-knees-forgotten-fat-pad/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Thu, 24 Sep 2026 12:53:40 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[ACL reconstruction]]></category>
		<category><![CDATA[anterior knee pain]]></category>
		<category><![CDATA[anterior knee pain assessment]]></category>
		<category><![CDATA[arthrofibrosis]]></category>
		<category><![CDATA[Doppler imaging]]></category>
		<category><![CDATA[elastography]]></category>
		<category><![CDATA[fat pad related osteoarthritis]]></category>
		<category><![CDATA[Hoffa's fat pad]]></category>
		<category><![CDATA[Hoffa's fat pad function]]></category>
		<category><![CDATA[infrapatellar fat pad]]></category>
		<category><![CDATA[infrapatellar fat pad anatomy]]></category>
		<category><![CDATA[knee joint inflammation diagnosis]]></category>
		<category><![CDATA[knee osteoarthritis]]></category>
		<category><![CDATA[knee ultrasound imaging]]></category>
		<category><![CDATA[metabolically active knee tissues]]></category>
		<category><![CDATA[musculoskeletal imaging]]></category>
		<category><![CDATA[patellar tendinopathy]]></category>
		<category><![CDATA[post-surgical knee complications]]></category>
		<category><![CDATA[soft tissue characterization in knee]]></category>
		<category><![CDATA[sports medicine]]></category>
		<category><![CDATA[sports medicine knee injuries]]></category>
		<category><![CDATA[ultrasound]]></category>
		<category><![CDATA[ultrasound evaluation of knee structures]]></category>
		<category><![CDATA[ultrasound vs MRI for knee]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=212410</guid>

					<description><![CDATA[A new review in Sports Medicine - Open shows that dynamic ultrasound, Doppler imaging, and elastography can reveal the structure, blood flow, and stiffness of the knee's infrapatellar fat pad in health, osteoarthritis, and after surgery.]]></description>
										<content:encoded><![CDATA[<p>Buried beneath the patellar tendon, in the crowded anterior compartment of the knee, sits a structure that most people have never heard of and many clinicians have historically overlooked: the infrapatellar fat pad, also known as Hoffa&#8217;s fat pad. Long dismissed as little more than biological packing material, this intracapsular, extra-synovial adipose tissue is now recognized as a dynamic, metabolically active organ in its own right. A comprehensive new review published in Sports Medicine &#8211; Open synthesizes decades of scattered research on how ultrasound can characterize this tissue in both health and disease, and the picture that emerges is striking. The fat pad cushions the knee against mechanical impact, harbors a rich vascular network and abundant nerve supply, and secretes bioactive molecules that influence inflammatory processes throughout the joint. When it malfunctions, the consequences range from anterior knee pain in athletes to early osteoarthritis and postoperative complications, making it a target of growing interest in sports medicine.</p>
<p>The review, authored by a team from Peking University Third Hospital led by Chong Zhang and Xinxin Xie, argues that ultrasound deserves a far larger role in evaluating the fat pad than it currently enjoys. Magnetic resonance imaging has long been the default tool for assessing inflammation, fibrosis, and scarring in this tissue, and it remains the reference standard for comprehensive soft tissue evaluation. But MRI comes with well-known drawbacks: high cost, long examination times, and, crucially, an inability to capture the fat pad in motion. Ultrasound, by contrast, is portable, inexpensive, and clinically accessible, and it offers something MRI fundamentally cannot: real-time, dynamic imaging of living tissue as the knee bends, extends, and bears weight. In a prospective diagnostic accuracy study of anterior knee pain involving 143 patients, ultrasonography achieved a sensitivity of 85.3 percent and a specificity of 100 percent for detecting periarticular abnormalities compared with MRI, a performance level that substantiates its role as a reliable first-line screening tool.</p>
<p>What does a healthy fat pad look like on an ultrasound screen? The review describes a distinctive two-layered echo structure. The superficial layer appears heterogeneously hypoechoic, resembling the subcutaneous fat immediately overlying the patellar tendon and containing hyperechoic connective tissue septa, while the deeper layer is generally more homogeneously echogenic. This layered architecture is not merely cosmetic; it reflects genuine histological differences, with larger fat lobules in the superficial layer and smaller lobules with thicker septa in the deeper layer. Finite element modeling has shown that adipose lobules confined within these micro-chambers undergo less deformation than those in larger chambers, which helps explain why the two layers behave so differently under load. Strain elastography studies in healthy, asymptomatic subjects have confirmed that the superficial layer is more elastic than the deeper one, linking the sonographic appearance directly to measurable mechanical properties.</p>
<p>The dynamic behavior of the fat pad is where ultrasound truly separates itself from static imaging. During knee extension, the deep portion of the fat pad moves significantly faster than the superficial portion. When the knee flexes, the superficial layer undergoes a marked thickness reduction of about 20.6 percent, while the deep layer shrinks by only 1.3 percent, and the deep lobules barely change at all. During walking, fat pad thickness is significantly greater than when measured lying down or standing, and the thickness waveform rises during the stance phase and falls during the swing phase, with a mean morphological change of 1.35 plus or minus 0.42 millimeters that correlates significantly with the knee flexion moment. Quadriceps contraction adds another layer of complexity: it straightens the patellar tendon, producing an anterior bulge of the fat pad on both sides of the tendon and a distal bulge into the deep infrapatellar bursa. These instantaneous, movement-driven alterations are invisible on MRI performed with the knee at rest.</p>
<p>Blood flow within the fat pad tells its own story. Color Doppler studies have detected blood flow in 55.5 percent of young, healthy, asymptomatic fat pads, and the tissue&#8217;s hemodynamics respond briskly to activity. Tissue hemoglobin, oxygenated hemoglobin, deoxygenated hemoglobin, and total hemoglobin all decline during isometric quadriceps contraction and rebound afterward, a pattern consistent with transient compression of local vessels followed by reactive hyperemia. After fifteen minutes of treadmill exercise, the largest vessel within the fat pad of asymptomatic knees shows marked expansion, a tendency toward dilation that appears to reflect healthy circulatory function. Shear wave elastography, which uses acoustic radiation force impulses to vibrate the tissue and measure the speed of resulting shear waves, adds a quantitative dimension: fat pad stiffness increases during quadriceps contraction, potentially compressing vessels and inducing a temporary ischemic state. Intriguingly, in community-dwelling older adults, higher levels of light physical activity are associated with reduced fat pad stiffness, hinting that everyday movement may protect the mechanical health of this tissue.</p>
<p>When pathology strikes, the ultrasound signature changes in characteristic ways. In fat pad impingement, caused by acute trauma or repetitive microtrauma, examination may reveal thickening and edema, along with diminished compressibility of the fat lobules that signals underlying chronic fibrosis. Perhaps most telling is the vascular response: while healthy fat pads dilate their vessels after exercise, impinged fat pads show vessels that constrict or remain unchanged, an aberrant reaction the authors attribute to microscarring and hypertrophy, and one that indicates impaired circulatory function. In patellar tendinopathy, one of the most common overuse injuries in jumping and running athletes, the close anatomical relationship between the proximal patellar tendon and the anterosuperior portion of the fat pad means the tissue is frequently drawn into the disease process. High-resolution ultrasound can now visualize the tendon-fat pad interface and the microvascular plexus of the deep paratenon as potential pain generators, although the authors caution that the prognostic value of these imaging features remains unestablished, with one recent cohort study finding no association between baseline imaging abnormalities and clinical outcomes after exercise therapy.</p>
<p>The postoperative knee provides some of the most compelling evidence for ultrasound&#8217;s clinical utility. Anterior cruciate ligament reconstruction, one of the most common knee surgeries in sports medicine, frequently involves partial resection or irritation of the fat pad, and the resulting inflammatory changes are readily tracked sonographically. Three months after reconstruction, patients show significant reduction in superficial fat pad thickness at ninety degrees of flexion and a notable decline in the thickness change ratio compared with the uninjured contralateral knee. A dynamic ultrasound study found that reconstructed knees exhibit insufficient morphological changes in the fat pad during walking, and that the normal correlation between fat pad deformation and knee flexion moment seen in healthy controls is absent, indicating impaired responsiveness to mechanical loading. These deficits matter clinically: anterior knee pain affects between 18.5 and 50 percent of knees after bone-patellar tendon-bone graft reconstruction and 9 to 30 percent after hamstring graft procedures, and a smaller thickness change ratio has been identified as a contributing factor to pain during squatting. In patients six months after hamstring graft reconstruction, increased fat pad blood flow on Doppler imaging emerged as an independent factor associated with anterior knee pain on multivariate analysis.</p>
<p>The implications extend beyond ligament surgery. More than one-third of individuals develop radiographic osteoarthritis within ten years of anterior cruciate ligament reconstruction, and ultrasound can detect persistent inflammatory changes in the fat pad one to five years postoperatively, with higher echo intensity symmetry values found in patients with MRI-confirmed fat pad synovitis. After total knee arthroplasty, gray-scale and power Doppler ultrasound of patients with arthrofibrosis reveals significantly increased synovial thickening and enhanced neovascularity within the fat pad compared with asymptomatic controls, suggesting that persistent inflammation or fibrotic remodeling of the pad may contribute to global joint stiffness. In knee osteoarthritis itself, fat pad stiffness measured by shear wave elastography is significantly associated with anterior knee pain even after adjusting for age, sex, disease grade, and MRI findings, while restricted morphological change during walking appears to be a dynamic feature specific to symptomatic disease, correlating with pain scores. In osteoarthritic knees, the normal hemoglobin responses to quadriceps contraction are blunted, pointing to impaired local microcirculation.</p>
<p>Ultrasound also shines in the diagnosis of rare space-occupying lesions and, above all, in catching what static imaging misses. Ganglion cysts appear as anechoic structures with posterior acoustic enhancement, lipomas as fatty masses that may herniate through focal defects in the lateral patellar retinaculum, and synovial hemangiomas as lesions with large vascular areas on Doppler interrogation. Fat pad herniation, most common in children but also seen in adults after surgery, presents as a painless mass apparent during knee flexion, and it is frequently demonstrable only on dynamic scanning, meaning it can be missed entirely on MRI performed with the knee extended. The review&#8217;s authors are candid about the limitations: the evidence base is heterogeneous, the biological meaning of echo intensity and stiffness measurements remains incompletely understood, and reproducibility can be confounded by probe orientation and operator dependency. Standardized acquisition protocols and larger longitudinal studies are needed before these findings can be integrated into routine clinical and return-to-sport decision-making. Still, the message is clear: a cheap, portable scan of a once-ignored fat pad may soon help clinicians diagnose knee pain faster, monitor recovery after surgery, and spot the earliest signs of joint degeneration, all in real time.</p>
<p><strong>Subject of Research:</strong> Ultrasound imaging of the infrapatellar fat pad in healthy and diseased knees</p>
<p><strong>Article Title:</strong> Ultrasound Characteristics of the Infrapatellar Fat Pad Under Physiological and Pathological Conditions</p>
<p><strong>Article References:</strong> Zhang, C., Xie, X., Wang, H., Yang, M., Huang, H., Cui, L., Wang, J., &amp; Cheng, J. (2026). Ultrasound Characteristics of the Infrapatellar Fat Pad Under Physiological and Pathological Conditions. <em>Sports Medicine &#8211; Open, 12</em>(1), Article 142. <a href="https://doi.org/10.1186/s40798-026-01113-x" rel="noopener noreferrer">https://doi.org/10.1186/s40798-026-01113-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s40798-026-01113-x" rel="noopener noreferrer">10.1186/s40798-026-01113-x</a></p>
<p><strong>Keywords:</strong> infrapatellar fat pad, Hoffa&#x27;s fat pad, ultrasound, elastography, Doppler imaging, knee osteoarthritis, anterior knee pain, ACL reconstruction, patellar tendinopathy, sports medicine, musculoskeletal imaging, arthrofibrosis</p>
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