Journal of Ultrasound in Medicine最新文献

{"title":"Prediction of Pre-Eclampsia at 18-24 Weeks of Gestation Using Maternal Ophthalmic Artery Doppler: A Prospective Observational Study From a Tertiary Care Centre in South India.","authors":"Divya Saikumar, P Deepthi, K Manikandan","doi":"10.1002/jum.70055","DOIUrl":"https://doi.org/10.1002/jum.70055","url":null,"abstract":"<p><strong>Objectives: </strong>To determine the discriminatory capacity of maternal ophthalmic artery (OA) Doppler parameters at 18-24 weeks of gestation for predicting pre-eclampsia (PE) in a south Indian population and to compare its predictive ability with known markers of pre-eclampsia like mean arterial pressure (MAP) and uterine artery pulsatility index (UtA-PI).</p><p><strong>Methods: </strong>This was a single-center prospective observational study of normotensive pregnant women presenting for routine ultrasound screening between 18 and 24 weeks of gestation. OA and UtA Doppler were performed on all enrolled participants who were followed up for subsequent development of PE. Detection rates (DR) at 10% false-positive rates (FPR) and the area under receiver operator characteristic (AUROC) curves were determined. The predictive ability of various OA and UtA Doppler indices was assessed in a multivariate regression model.</p><p><strong>Results: </strong>The study included 408 pregnant women and 15 (3.68%, 95% CI: 2.24-5.97) of these participants subsequently developed PE. The OA peak systolic velocity (PSV) ratio was significantly associated with PE (P = .03) in the multivariate regression analysis. The mean OA PSV ratio had a 93.3% DR for a 10% FPR with AUROC of 0.98 (95% CI: 0.96-1) while the mean UtA-PI had a 67% DR for a 10% FPR with AUROC of 0.90 (95% CI: 0.86-0.95) in the prediction of PE.</p><p><strong>Conclusion: </strong>The OA PSV ratio was found to be superior to UtA-PI in the prediction of PE between 18 and 24 weeks of gestation, and this may be incorporated into routine diagnostic ultrasound, but larger studies are needed to validate this finding.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145006307","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":"Isolated Narrow Cavum Septum Pellucidum in Fetuses: A Variation of Normal Development.","authors":"Yihong Yang, Shan Zhu, Xin Yang, Ziyan Sun, Xiaoyan Xu","doi":"10.1002/jum.70052","DOIUrl":"https://doi.org/10.1002/jum.70052","url":null,"abstract":"<p><strong>Objectives: </strong>This retrospective study aimed to describe the outcome of a cohort of fetuses with isolated narrow cavum septum pellucidum (CSP), as identified by ultrasound (US) during the second or third trimester.</p><p><strong>Methods: </strong>We reviewed the records of all patients referred for CSP abnormalities and identified those fetuses diagnosed with isolated narrow width of CSP (<3 mm) on US.</p><p><strong>Results: </strong>The study population comprised 79 patients with isolated narrow CSP. 36 (36/79, 45.6%) underwent MRI, and a normal corpus callosum was observed in 34 (34/36, 94.4%) cases. Partial agenesis of the corpus callosum was diagnosed in the remaining two (2/36, 5.6%) cases. In addition, no pathological findings were reported in non-invasive prenatal testing NIPT (n = 47) and in amniocentesis (n = 11). A total of 33 (33/79, 41.8%) pregnant women gave birth at our institution, with an average Apgar score of 8-9. Neurodevelopmental outcome was available for 24 cases at a mean age of 31.6 ± 18.4 months, all of which were normal.</p><p><strong>Conclusions: </strong>Almost all fetuses with isolated narrow CSP have a normal corpus callosum, and the neurodevelopmental outcome of these fetuses is generally good. Thus, isolated narrow CSP in the fetus can be considered a variation of normal development.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992959","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":"Learning Curve of the Transvaginal Ultrasound Exam for Adenomyosis: A CUSUM Analysis.","authors":"Matteo Giorgi, Enrico Pazzaglia, Roberto Palermo, Alberto Aguzzi, Valeria De Gobbi, Linda Bertoldo, Margherita Grazi, Alice Martini, Alexandro Paccapelo, Gabriele Centini, Errico Zupi, Lucia Lazzeri, Giuseppe Vizzielli, Renato Seracchioli, Diego Raimondo","doi":"10.1002/jum.70045","DOIUrl":"https://doi.org/10.1002/jum.70045","url":null,"abstract":"<p><strong>Objectives: </strong>Adenomyosis is challenging to diagnose with transvaginal ultrasound (TVUS) and requires operator expertise to recognize its sonographic features; however, little is known about the learning curve for trainees. This study aimed to assess the learning curve of inexperienced residents in diagnosing adenomyosis and identifying its key ultrasound signs using the learning curve-cumulative summation test (LC-CUSUM) method.</p><p><strong>Methods: </strong>This prospective cohort study was conducted in 2 tertiary care centers specializing in endometriosis and adenomyosis. Women aged 18-50 undergoing routine outpatient gynecological visits and ultrasound examinations between April 2023 and February 2024 were included. TVUS exams were initially performed by residents without prior formal training in adenomyosis diagnosis. Each scan was subsequently repeated by an expert sonographer, who provided immediate feedback to the trainee. Concordance between residents and experts was assessed for the presence of adenomyosis, its classification, and specific sonographic features. LC-CUSUM analysis was used to construct learning curves and determine when proficiency was achieved.</p><p><strong>Results: </strong>A total of 150 patients were evaluated by 3 residents (50 each), with the sample size predetermined based on prior studies. All residents achieved diagnostic proficiency by the end of their training, requiring 16, 17, and 23 scans, respectively. LC-CUSUM analysis indicated that approximately 20 scans are needed to reach proficiency. While most key features were correctly identified, subendometrial lines/buds and diffuse inner myometrial involvement were more difficult to recognize consistently.</p><p><strong>Conclusions: </strong>Residents without prior experience can achieve proficiency in diagnosing and classifying adenomyosis after approximately 20 TVUS exams, though some features remain more challenging to detect.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992941","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":"Toward Precision in Fetal Arch Imaging: Unveiling Methodologic Gaps and Pathways to Robust Nomograms.","authors":"Yuyan Zhang, Chengqiang Jin, Guangfei Sun","doi":"10.1002/jum.70038","DOIUrl":"https://doi.org/10.1002/jum.70038","url":null,"abstract":"","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959224","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 Radiomics Nomogram Based on Ultrasound: A Tool for Preoperative Prediction of Uterine Sarcoma.","authors":"Wuwu Zheng, Aihui Lu, Xiaoxiao Tang, Lixia Chen","doi":"10.1002/jum.70043","DOIUrl":"https://doi.org/10.1002/jum.70043","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to develop a noninvasive preoperative predictive model utilizing ultrasound radiomics combined with clinical characteristics to differentiate uterine sarcoma from leiomyoma.</p><p><strong>Methods: </strong>This study included 212 patients with uterine mesenchymal lesions (102 sarcomas and 110 leiomyomas). Clinical characteristics were systematically selected through both univariate and multivariate logistic regression analyses. A clinical model was constructed using the selected clinical characteristics. Radiomics features were extracted from transvaginal ultrasound images, and 6 machine learning algorithms were used to construct radiomics models. Then, a clinical radiomics nomogram was developed integrating clinical characteristics with radiomics signature. The effectiveness of these models in predicting uterine sarcoma was thoroughly evaluated. The area under the curve (AUC) was used to compare the predictive efficacy of the different models.</p><p><strong>Results: </strong>The AUC of the clinical model was 0.835 (95% confidence interval [CI]: 0.761-0.883) and 0.791 (95% CI: 0.652-0.869) in the training and testing sets, respectively. The logistic regression model performed best in the radiomics model construction, with AUC values of 0.878 (95% CI: 0.811-0.918) and 0.818 (95% CI: 0.681-0.895) in the training and testing sets, respectively. The clinical radiomics nomogram performed well in differentiation, with AUC values of 0.955 (95% CI: 0.911-0.973) and 0.882 (95% CI: 0.767-0.936) in the training and testing sets, respectively.</p><p><strong>Conclusions: </strong>The clinical radiomics nomogram can provide more comprehensive and personalized diagnostic information, which is highly important for selecting treatment strategies and ultimately improving patient outcomes in the management of uterine mesenchymal tumors.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959088","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":"Utility of Polycystic Ovarian Morphology on Ultrasonography Across Menstrual Cycle Phases to Aid in the Diagnosis of Polycystic Ovary Syndrome (PCOS).","authors":"Faith E Carter, Abbey B Kalay, Brittany Y Jarrett, Alexis L Oldfield, Heidi Vanden Brink, Marla E Lujan","doi":"10.1002/jum.70040","DOIUrl":"https://doi.org/10.1002/jum.70040","url":null,"abstract":"<p><strong>Objectives: </strong>Determine the diagnostic accuracy of ovarian morphology on ultrasonography for polycystic ovary syndrome (PCOS) across the menstrual cycle.</p><p><strong>Methods: </strong>Data from 25 women with PCOS (oligo-anovulation + androgen excess) and 40 age- and BMI-matched controls (regular cycles + normal androgens) with consecutive ultrasound scans over ≥2 menstrual cycle phases were included in this retrospective analysis. Phases of interest included: early follicular (1-6 days following menses onset), late follicular (1-7 days prior to ovulation in the presence of a dominant follicle), early luteal (1-7 days following ovulation), and late luteal (1-7 days prior to the onset of menses). Diagnostic accuracy (area under the ROC curve [AUC], sensitivity [Se], specificity [Sp]) of mean, maximum, and contralateral (ovary without dominant follicle or corpus luteum) sonographic measures for follicle number per ovary (FNPO), follicle number per single section (FNPS), and ovarian volume (OV) at each phase were determined. DeLong tests determined differences in diagnostic accuracy across phases.</p><p><strong>Results: </strong>FNPO, FNPS, and OV all had significant diagnostic accuracy for PCOS across menstrual cycle phases. OV_mean had the highest diagnostic accuracy for PCOS in the early follicular phase (AUC = 0.87, Se = 65%, Sp = 95%), whereas OV_{contralateral} had the highest accuracy in both the early (AUC = 0.81, Se = 62%, Sp = 92%) and late luteal phases (AUC = 0.93, Se = 100%, Sp = 70%). OV_{contralateral} outperformed all other measures in the late luteal phase (P < .05).</p><p><strong>Conclusion: </strong>Ultrasonographic evaluations for PCOS may be performed across the menstrual cycle. The presence of a dominant follicle in the late follicular phase did not impact the performance of ovarian markers for PCOS status. By contrast, polycystic ovarian morphology is best defined in the luteal phase by assessments of FNPO and OV in the contralateral ovary.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959227","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":"Combining Detailed Fetal Anatomy Scanning in the NT Window Versus Early Second Trimester Scanning at 14-16 Weeks: A Non-Inferiority Study.","authors":"Tomer Shwartz, Sarah M Cohen, Michal Lipschuetz, Hila Hochler, Yaron Zalel, Dan V Valsky, Simcha Yagel","doi":"10.1002/jum.70036","DOIUrl":"https://doi.org/10.1002/jum.70036","url":null,"abstract":"<p><strong>Objectives: </strong>First-trimester ultrasound has evolved to incorporate a detailed fetal anatomy scan (FAS) with nuchal translucency (NT) screening. Many institutions use a 2-visit protocol: NT followed by detailed FAS at 14-16 weeks. We aimed to evaluate whether integrating detailed FAS into the NT window (12 + 5 to 13 + 6 weeks) is non-inferior in diagnostic yield to the 2-visit protocol.</p><p><strong>Methods: </strong>We enrolled 755 mixed high- and low-risk pregnant women with singleton gestations into either integrated NT + FAS group (n = 243, 12 + 5 to 13 + 6 weeks) or 2-visit group (n = 512, 14-16 weeks). All underwent follow-up at 20-24 weeks. Scans followed ISUOG guidelines; the primary outcome was detection of fetal anomalies during detailed early scans. Non-inferiority was defined as a margin of ≤6% difference in detection rates.</p><p><strong>Results: </strong>Study groups were similar except in parity (mean 2.6 [0-9] vs. 3.1 [0-10], P = .0081 in FAS + NT and 2-visit group, respectively). Anomalies were identified in 16 fetuses (7.5%) in the NT + FAS group and 16 (3%) in the 2-visit group (P = .033). Additional anomalies were detected at mid-trimester in 2/227 (0.9%) NT + FAS and 4/496 (0.8%) 2-visit group fetuses (P = 1.0). The integrated approach met non-inferiority criteria.</p><p><strong>Conclusion: </strong>Detailed FAS during the final NT window week is non-inferior to the 2-visit approach. This integrated protocol offers earlier reassurance without compromising diagnostic accuracy.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959221","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":"Comment on \"Ultrasound-Based Machine Learning and SHapley Additive exPlanations Method Evaluating Risk of Gallbladder Cancer\".","authors":"Schawanya K Rattanapitoon, Tirayut Veerasathian, Phatsakul Thitimahatthanakusol, Nathkapach K Rattanapitoon","doi":"10.1002/jum.70042","DOIUrl":"https://doi.org/10.1002/jum.70042","url":null,"abstract":"","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959241","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":"Refining Ultrasonographic Diagnosis of Appendiceal Diverticulitis: Practical Steps for Broader Clinical Impact.","authors":"Liying Zheng, Huimin Jia","doi":"10.1002/jum.70041","DOIUrl":"https://doi.org/10.1002/jum.70041","url":null,"abstract":"","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959276","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":"First-Trimester Detection of Conotruncal Anomalies Using Transabdominal SlowflowHD: A Case Series and Proof-of-Concept Study.","authors":"Hirotsugu Fukuda, Aya Fukuda, Kazuya Mimura, Masayuki Endo, Ritsuko K Pooh, Michiko Kodama","doi":"10.1002/jum.70037","DOIUrl":"10.1002/jum.70037","url":null,"abstract":"<p><strong>Background: </strong>Detection of conotruncal anomalies in the first trimester remains challenging. SlowflowHD, a Doppler modality with enhanced low-flow sensitivity, may improve visualization of cardiac outflow tracts.</p><p><strong>Objective: </strong>To evaluate the utility of transabdominal SlowflowHD in detecting conotruncal congenital heart defects (CHDs) during routine first-trimester ultrasound screening.</p><p><strong>Methods: </strong>Between January 2023 and April 2025, 1080 singleton pregnancies underwent ultrasound screening at 12 + 0 to 13 + 6 weeks' gestation using the Voluson Expert 22 with an RM7C probe. Cardiac evaluation included grayscale imaging and monochrome, non-directional SlowflowHD of the four-chamber view (4CV), left ventricular outflow tract (LVOT), and three-vessel trachea view (3VT). HDlive™ Flow was used to confirm flow direction when needed. All scans were transabdominal and performed by a single experienced operator. Suspected CHDs were referred for second-trimester echocardiography or genetic testing.</p><p><strong>Results: </strong>Five fetuses were identified with outflow tract anomalies: tetralogy of Fallot (n = 3), double outlet right ventricle (n = 1), and transposition of the great arteries (n = 1). In all cases, SlowflowHD provided clearer delineation of septo-aortic continuity and vessel alignment than grayscale alone. Diagnoses were confirmed postnatally or during the second trimester; except in one case with trisomy 21, which was electively terminated.</p><p><strong>Conclusion: </strong>SlowflowHD enhances early detection of conotruncal anomalies by improving visualization of key vascular structures. This modality may serve as a useful adjunct to conventional imaging in first-trimester screening. Further validation in larger cohorts is warranted.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144873768","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}