{"title":"AIUM Practice Parameter for Documentation of an Ultrasound Examination, 2025 Revision.","authors":"","doi":"10.1002/jum.70168","DOIUrl":"10.1002/jum.70168","url":null,"abstract":"","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":"E26-E29"},"PeriodicalIF":2.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145948465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prenatal Diagnosis of Abdominal Aorta-Hepatic Artery-Umbilical Vein Fistula Using High-Definition Flow Render Mode and Spatiotemporal Image Correlation.","authors":"Tian-Gang Li, Ling Lv, Hong-Xia Zhang","doi":"10.1002/jum.70158","DOIUrl":"10.1002/jum.70158","url":null,"abstract":"<p><p>Fetal abdominal aorta-hepatic artery-umbilical vein fistulas are rare congenital vascular-related malformations. This study aimed to assess the diagnostic efficacy of ultrasound in detecting fetal aorta-hepatic artery-umbilical vein fistulas using high-definition flow (HD-flow) render mode and spatiotemporal image correlation (STIC) technology. The study emphasizes six case analyses of abdominal aorta-hepatic artery-umbilical vein fistula using HD-flow render mode and STIC. Postnatal outcome evaluations were performed at our medical facility. The fistulas formed a connection between the abdominal aorta and the umbilical vein. HD-flow render mode and STIC were acquired in all six cases. In three cases, fistulas with a diameter >3 mm were associated with extracardiac structural abnormalities and congenital heart defects. The incidence of heart failure was higher when the ratio of the fistula diameter to the umbilical vein diameter was >0.65 and to the abdominal aorta diameter was >0.9. Three fetuses were viable to survive, while three did not, including one that died in utero. HD-flow render mode and STIC facilitate a more accurate and comprehensive observation of the hemodynamics of the fetal abdominal aorta-hepatic artery-umbilical vein fistula, enabling the early diagnosis of related complications and determination of prognosis.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":"1307-1316"},"PeriodicalIF":2.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146041239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lina Yi, Li Wang, Lijuan Sun, Na Zhang, Jijing Han, Jingjing Wang, Shijing Song, Xiangli Meng, Yantong Zhu, Qingqing Wu
{"title":"Assessment of Fetal Cardiac Function and Pregnancy Outcomes in Well-Controlled Gestational Diabetes Mellitus Using Novel Ultrasound Technology: A Prospective Case-Control Study.","authors":"Lina Yi, Li Wang, Lijuan Sun, Na Zhang, Jijing Han, Jingjing Wang, Shijing Song, Xiangli Meng, Yantong Zhu, Qingqing Wu","doi":"10.1002/jum.70249","DOIUrl":"https://doi.org/10.1002/jum.70249","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the changes in fetal cardiac function in pregnant women with well-controlled gestational diabetes mellitus (GDM) using a novel ultrasound technology named HOLO-PW. Secondly, we aim to evaluate the predictive ability of cardiac function parameters for adverse perinatal outcomes and establish an individualized nomogram.</p><p><strong>Methods: </strong>This study included 122 pregnant women with well-controlled GDM and 256 pregnant women with normal blood glucose. Fetal cardiac function parameters were extracted based on the HOLO-PW technology. The differences between the 2 groups were analyzed. Subgroup analysis was performed in the GDM group according to the pregnancy outcome and fetal growth status. The effectiveness of cardiac function parameters in predicting adverse pregnancy outcomes in GDM was evaluated by receiver operating characteristic (ROC) curves. Independent predictors were identified through logistic regression with LASSO variable selection, and a nomogram was developed. The model's performance was evaluated with ROC analysis, calibration curves, and decision curve analysis (DCA).</p><p><strong>Results: </strong>Compared with the control cohort, the myocardial performance index (MPI), K index (KI), isovolumic contraction time (ICT), and isovolumic relaxation time (IRT) of left and right ventricles were increased in the fetuses of GDM cohort (p < .05). Compared with the appropriate for gestational age (AGA), the fetuses with abnormal growth in the GDM cohort presented significant differences in the cardiac function parameters (p < .05). The incidence of adverse pregnancy outcomes in the GDM cohort was higher than that in the control cohort. The cardiac function parameters of fetuses with adverse and normal perinatal outcomes significantly differed in the GDM cohort (p < .05). We also evaluated the predictive capacity of each heart function parameter for adverse pregnancy outcomes in GDM. The LMPI showed the strongest ability to predict adverse pregnancy outcomes with an AUC of 0.951 (95% CI: 0.909-0.993). A nomogram constructed with the 3 key predictors selected by LASSO regression (LMPI, LKI, and RIRT) demonstrated excellent discrimination, with an AUC of 0.960 (95% CI: 0.924-0.996). The model was well calibrated, and DCA indicated clinical utility.</p><p><strong>Conclusion: </strong>Even under well-controlled glycemic conditions, fetal cardiac function is altered in GDM pregnancies. In this cohort, a model based on fetal cardiac function parameters showed good predictive performance for composite adverse perinatal outcomes. However, external validation is required before clinical implementation.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147856823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kyu-Ho Yi, Yerin Park, Olena Sydorchuk, Hugues Cartier, Sebastien Garson, Benjamin Ascher
{"title":"Non-invasive Reduction of Accessory Breast Fat Using Multilayer High-Intensity Focused Ultrasound: A Quantitative Ultrasound-Based Study.","authors":"Kyu-Ho Yi, Yerin Park, Olena Sydorchuk, Hugues Cartier, Sebastien Garson, Benjamin Ascher","doi":"10.1002/jum.70238","DOIUrl":"https://doi.org/10.1002/jum.70238","url":null,"abstract":"<p><strong>Objectives: </strong>Accessory breast tissue often presents as localized axillary subcutaneous fullness, presenting as a palpable soft-tissue bulge composed of adipose or glandular elements, causing mechanical discomfort and esthetic concern. While surgical excision remains effective, it ma result in scarring, postoperative pain, and risks of seroma/hematoma or contour irregularity, leading to growing interest in noninvasive approaches. The objective of the study is to investigate the effect of noninvasive high-intensity focused ultrasound (HIFU) on subcutaneous fat thickness in axillary accessory breast tissue.</p><p><strong>Methods: </strong>This prospective study enrolled 30 women with BMI ≥27 kg/m<sup>2</sup> and accessory breast fat. All participants underwent a single HIFU session using multiple focal depths of 4.5, 6.0, and 9.0 mm at operating frequencies of 4 and 2 MHz, with energy settings of 1.5-2.0 J per shot. Fat thickness was measured by ultrasound at baseline and 8 weeks. Secondary outcomes included investigator-rated Global Aesthetic Improvement Scale (GAIS) and patient satisfaction scores.</p><p><strong>Results: </strong>Among the 28 participants who completed the 8-week follow-up, mean subcutaneous fat thickness decreased from 19.2 ± 3.4 mm at baseline to 15.8 ± 3.1 mm at 8 weeks. The mean paired reduction was 3.4 ± 1.6 mm (17.7%), which was statistically significant (95% CI, 2.8-4.0 mm; p = 1.1 × 10⁻¹¹). All participants showed GAIS improvement with high satisfaction. No serious adverse events were observed; mild and transient effects included transient thermal discomfort and localized erythema resolving within several hours to 2 days, and no cases of skin burn were identified.</p><p><strong>Conclusion: </strong>Non-invasive HIFU produced a measurable reduction of accessory breast fat with favorable esthetic outcomes and an acceptable safety profile.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147856841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multimodal Nomogram for the Prenatal Risk Assessment of Hypoplastic Left Heart Syndrome Using Self-Supervised Learning.","authors":"Xinglong Wu, Chen Cheng, Zhenchun Ran, Hao Zhu, Guoping Xu, Tongquan Wu, Sheng Zhao","doi":"10.1002/jum.70254","DOIUrl":"https://doi.org/10.1002/jum.70254","url":null,"abstract":"<p><strong>Objectives: </strong>This retrospective study aims to develop and validate a multimodal nomogram for the prenatal risk assessment of hypoplastic left heart syndrome (HLHS) and to explore significant risk factors for HLHS.</p><p><strong>Methods: </strong>This retrospective study enrolled 161 normal pregnancies and 52 pregnancies diagnosed with HLHS at the Ultrasound Diagnosis Department of Maternal and Child Health Hospital of Hubei Province in China from September 2019 to September 2023. Experienced sonographers selected standard 4-chamber cardiac views and delineated the boundaries of the left and right atria and ventricles. A ResNet-like variational autoencoder (RVAE) was used to extract features from 4-chamber views in a self-supervised learning strategy. These features were then converted into an image score. The proposed multimodal nomogram was developed using univariate and multivariate logistic regression analysis, incorporating the image score, demographics, and morphological characteristics of the fetus' heart. To evaluate the nomogram's performance, we constructed a clinical regression model, 4 machine learning (ML) models, and an expert model comprising 3 sonographers with varying years of clinical experience.</p><p><strong>Results: </strong>The study identified several significant risk factors for assessing the risk of HLHS, including the diameter of the left ventricle, the area ratio between the left and right atrium, the area ratio between the left and right ventricle, and the image score calculated from the 4-chamber view. A multimodal nomogram was constructed based on these factors, achieving an accuracy of 0.935 and an AUC of 0.991. The performance of the nomogram was better than that of the traditional logistic regression and ML models, and comparable to that of the expert model. Additionally, the multimodal nomogram outperforms sonographers with 3- and 6-year experience, and performs only slightly worse than the sonographer with 10-year experience. When combined with the heat-map generated from RVAE, the nomogram can serve as an easy-to-use tool to help clinicians better understand the process of computer-aided diagnosis.</p><p><strong>Conclusion: </strong>The proposed multimodal nomogram demonstrates its superiority, effectiveness, and interpretability in prenatal risk assessment of HLHS. Additionally, 2 risk factors, ie, the area ratio between the left and right atrium and the area ratio between the ventricle, deserve further investigation during clinical diagnosis of HLHS.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147856838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nigel Chan, David J McCreary, Adriana Nedyalkova, Peter J Snelling
{"title":"Point-of-Care Ultrasound for the Diagnosis of Hip Effusion in Children Presenting to the Emergency Department With Atraumatic Limp or Hip Pain: A Scoping Review.","authors":"Nigel Chan, David J McCreary, Adriana Nedyalkova, Peter J Snelling","doi":"10.1002/jum.70286","DOIUrl":"https://doi.org/10.1002/jum.70286","url":null,"abstract":"<p><p>This study reviews the evidence for point-of-care ultrasound (POCUS) for the detection of hip effusion in children presenting to the emergency department with atraumatic limp or hip pain. A scoping review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review (PRISMA-ScR) guideline. PubMed, EMBASE, and the Cochrane Library databases were searched from January 2000 to October 2025. All study designs were considered. The primary outcome was diagnostic accuracy of POCUS for hip effusion, and key secondary outcomes included provider characteristics and clinical integration. Data were also charted across study, participant, and ultrasound characteristics. Thirteen studies met inclusion criteria: 3 prospective studies, 9 retrospective cohorts, and 1 case report. Studies predominately evaluated diagnostic accuracy of POCUS performed by emergency medicine physicians with variable training compared with radiology performed ultrasound, feasibility of POCUS guided hip arthrocentesis, and explored its integration into clinical decision rules. Diagnostic accuracy was high, with reported sensitivity ranging from 80% to 98% and specificity from 91% to 98%. This scoping review demonstrates that there is growing evidence that hip POCUS is a useful clinical tool for evaluation of pediatric patients presenting to the emergency department with atraumatic limp or hip pain. It has been shown to be accurate when performed by emergency physicians after variable training. Further research is required with large prospective multicenter studies to explore patient-centered outcomes and validate diagnostic pathways that incorporate POCUS.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147856348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hayan Kwon, Hyewon Hur, Hyun Cheol Cho, Yun Ji Jung, Suhra Kim, Ja-Young Kwon
{"title":"Feasibility and Reproducibility of a Structure-Guided Deep Learning Model for Automatic Detection of the Standard Sagittal Plane in First-Trimester Nuchal Translucency Assessment Using 3D Ultrasound.","authors":"Hayan Kwon, Hyewon Hur, Hyun Cheol Cho, Yun Ji Jung, Suhra Kim, Ja-Young Kwon","doi":"10.1002/jum.70281","DOIUrl":"https://doi.org/10.1002/jum.70281","url":null,"abstract":"<p><strong>Objectives: </strong>Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic abnormalities requires precise acquisition of the mid-sagittal plane (MSP). However, achieving an appropriate MSP is technically challenging due to anatomical variability and operator dependence inherent in conventional 2-dimensional (2D) ultrasound. This study aimed to develop and validate a novel deep learning algorithm for automated fetal MSP extraction from 3-dimensional (3D) ultrasound volumes utilizing intracranial structure segmentation to overcome the limitations of conventional methods reliant on facial landmarks.</p><p><strong>Methods: </strong>In this prospective study, we developed and evaluated \"3D MSP-net,\" a convolutional neural network (CNN)-based model for automated MSP extraction, involving singleton pregnant women undergoing first-trimester NT screening. Using achieved 3D volume data, 3D MSP-net was validated against the conventional 2D manual method and a commercially available rule-based automated system (5D NT™). Two maternal-fetal medicine (MFM) specialists independently assessed the resulting MPSs to determine the performance for demonstrating the feasibility and high reproducibility of the 3D MSP-net.</p><p><strong>Results: </strong>3D MSP-net achieved an MSP extraction success rate of 91.6%, comparable to that of the conventional 2D manual method and significantly superior to the rule-based 3D algorithm. NT measurements were comparable between the conventional 2D manual approach and MSPs derived from 3D MSP-net (1.4 ± 0.5 mm versus 1.4 ± 0.4 mm; p = .444). These results were reproducible on external validation. Moreover, the 3D MSP-net maintained robust performance even under challenging conditions, such as increased maternal body mass index and different scan deviation angles.</p><p><strong>Conclusion: </strong>The 3D MSP-net, our artificial intelligence (AI) model that utilizes intracranial landmarks for MSP reconstruction, enables improved efficiency, standardization, and reliability for first-trimester fetal screening addressing a key challenge in prenatal diagnostics.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147856901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine Learning-Driven Methodological Refinements for Deployable Ultrasound Radiomics.","authors":"Jiaxin Cai","doi":"10.1002/jum.70290","DOIUrl":"https://doi.org/10.1002/jum.70290","url":null,"abstract":"","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147839534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Orna Levinsohn-Tavor, Hili Zur-Naaman, Adi Orenstein, Orna Shaked, Noam Smorgick, Ron Maymon
{"title":"Sonography-Assisted Management of Suspected Retained Products of Conception upon Completion of the Puerperium: A Prospective Single-Center Study.","authors":"Orna Levinsohn-Tavor, Hili Zur-Naaman, Adi Orenstein, Orna Shaked, Noam Smorgick, Ron Maymon","doi":"10.1002/jum.70285","DOIUrl":"https://doi.org/10.1002/jum.70285","url":null,"abstract":"<p><strong>Objectives: </strong>Retained products of conception (RPOC) occur in approximately 1% of term deliveries and may result in bleeding, infection, and reproductive complications. However, early postpartum symptoms and ultrasound findings are often nonspecific, making diagnosis challenging. This study evaluated whether transvaginal sonography performed 6 weeks postpartum can effectively stratify RPOC risk in suspected cases and guide follow-up and management.</p><p><strong>Methods: </strong>In this prospective study, 116 hemodynamically stable women with risk factors for RPOC and without significant symptoms underwent transvaginal ultrasound 6 weeks postpartum. Findings were classified as high, moderate, or low probability based on the presence of an intrauterine mass, endometrial thickness, and vascularity. Low probability cases required no further evaluation, whereas those in the moderate and high probability groups were referred for diagnostic or operative hysteroscopy, respectively.</p><p><strong>Results: </strong>Patients were categorized into high (19%), moderate (28%), and low (53%) probability groups. The prevalence of histologically confirmed RPOC in these groups was 50, 12.5, and 0%, respectively. Compared with prior studies that performed earlier postpartum assessments, evaluation at 6 weeks improved diagnostic accuracy, particularly in moderate probability cases, while predictive values in high and low probability groups remained comparable.</p><p><strong>Conclusions: </strong>Sonographic assessment at 6 weeks postpartum provides reliable risk stratification for RPOC and supports a more conservative management approach in hemodynamically stable women without significant symptoms by deferring imaging and potential interventions until completion of the postpartum period. This approach improves diagnostic accuracy in the moderate probability group while reducing false positives and unnecessary interventions.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147839540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinical Applicability Considerations in Ultrasound-Based Machine Learning Models for BI-RADS 4A Lesions.","authors":"Qingmin Wang, Fan Wang, Fei Huang","doi":"10.1002/jum.70282","DOIUrl":"https://doi.org/10.1002/jum.70282","url":null,"abstract":"","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147839469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}