Yan Tan, Chengwen Guo, Jingzhe Liu, Manli Fu, Yi Wang, Li Yuan
{"title":"Multisystem Imaging Features and Organ Co-Occurrence in Children With Tuberous Sclerosis Complex","authors":"Yan Tan, Chengwen Guo, Jingzhe Liu, Manli Fu, Yi Wang, Li Yuan","doi":"10.1002/jcu.70310","DOIUrl":"10.1002/jcu.70310","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Significant differences exist in the patterns and timing of organ involvement in Tuberous sclerosis complex (TSC). We sought to analyze potential differences in multiorgan involvement between <i>TSC1</i> and <i>TSC2</i> genotypes based on imaging findings, thereby elucidating the disease expression profile of TSC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective investigation encompassed 112 individuals diagnosed with tuberous sclerosis at a tertiary hospital in China between March 2020 and March 2025. Clinical presentations, imaging findings, and genetic data were analyzed to evaluate the involvement of the brain, heart, and kidneys in patients with <i>TSC1</i> and <i>TSC2</i> mutations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 112 patients (median age 7.17 years; 60.7% male). No significant differences were observed in cerebral and cardiac involvement between <i>TSC1</i> and <i>TSC2</i> mutations (<i>p</i> > 0.05). However, patients with <i>TSC2</i> mutations faced an elevated cumulative risk of renal angiomyolipoma (<i>TSC2</i>: 48.5% vs. <i>TSC1</i>: 11.4%, <i>p</i> < 0.001) and renal cysts (<i>TSC2</i>: 33.8% vs. <i>TSC1</i>: 9.1%, <i>p</i> = 0.003). The most frequent combined involvement patterns include brain-heart and brain-heart-kidney involvement, while isolated brain involvement was the predominant single-organ phenotype.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Multisystem imaging heterogeneity and co-occurrence analysis in pediatric tuberous sclerosis complex may facilitate the prediction of disease evolution and inform long-term clinical management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1957-1966"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148277543","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}
Uğurcan Zorlu, Hasan Altınsoy, Mehmet Utku Başarır, Şükrü Bakırcı, Eda Özden Tokalıoğlu, Özgür Kara, Fatma Doğa Öcal, Dilek Şahin
{"title":"Artificial Intelligence Systems vs. Clinicians in Fetal Echocardiography: A Structured Knowledge-Based Comparative Assessment.","authors":"Uğurcan Zorlu, Hasan Altınsoy, Mehmet Utku Başarır, Şükrü Bakırcı, Eda Özden Tokalıoğlu, Özgür Kara, Fatma Doğa Öcal, Dilek Şahin","doi":"10.1002/jcu.70430","DOIUrl":"https://doi.org/10.1002/jcu.70430","url":null,"abstract":"<p><strong>Purpose: </strong>Fetal echocardiography requires systematic anatomical assessment, segmental interpretation, and high-level clinical reasoning. This study aimed to compare the performance of contemporary artificial intelligence (AI) systems and clinicians with different levels of expertise in a standardized fetal echocardiography knowledge-based assessment.</p><p><strong>Methods: </strong>This cross-sectional comparative assessment study used a 60-item, single-best-answer multiple-choice examination covering eight fetal echocardiography subdomains: general principles of fetal echocardiography, general fetal cardiac anatomy, left-sided cardiac pathologies, conotruncal anomalies, isomerism and heterotaxy syndromes, fetal arrhythmias, anomalies of venous return, and pulmonary malformations/right-sided cardiac pathologies. The same examination was administered to seven publicly accessible AI systems and three clinicians: one senior perinatologist, one junior perinatologist, and one junior obstetrician. All AI systems were accessed during the same predefined evaluation period in January 2026. The primary outcome was response correctness. Secondary analyses included total accuracy, domain-specific performance, and AI-clinician group comparisons.</p><p><strong>Results: </strong>A total of 600 group-question response entries were analyzed, comprising 420 AI-generated responses and 180 clinician responses. The senior perinatologist achieved the highest total score among all participants, with 53 correct responses out of 60, followed by GPT-5 with 52 correct responses. Overall accuracy was 78.8% for AI systems and 73.3% for clinicians. The mean domain-level score was 5.91 for AI systems and 5.50 for clinicians, without a statistically significant difference using either unequal-variance t-test or Mann-Whitney U-test. AI systems showed higher mean performance in general fetal echocardiography principles and general fetal cardiac anatomy, whereas the senior perinatologist performed best in complex integrative domains, particularly conotruncal anomalies and isomerism/heterotaxy syndromes.</p><p><strong>Conclusions: </strong>In a structured text-based fetal echocardiography knowledge assessment, AI systems achieved overall performance comparable to clinicians, particularly in standardized knowledge domains. However, the senior perinatologist retained the strongest performance in complex fetal cardiac categories requiring integrative clinical reasoning. These findings support the potential role of AI as an adjunctive educational and structured decision-support tool in fetal echocardiography, while emphasizing that performance in a multiple-choice format should not be interpreted as equivalent to autonomous real-world fetal cardiac diagnosis.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149110305","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}
Yang Tang, Ya-dan Xu, Chong-ke Zhao, Pei-li Fan, Yun-jie Jin, Zheng-biao Ji, Hong Han, Hui-xiong Xu, Ben-hua Xu
{"title":"External Validation of a Deep Learning-Based Artificial Intelligence System for Ultrasound Diagnosis of Thyroid Nodules: A Two-Center Retrospective Study","authors":"Yang Tang, Ya-dan Xu, Chong-ke Zhao, Pei-li Fan, Yun-jie Jin, Zheng-biao Ji, Hong Han, Hui-xiong Xu, Ben-hua Xu","doi":"10.1002/jcu.70275","DOIUrl":"10.1002/jcu.70275","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To investigate the performance of an artificial intelligence (AI) diagnostic system for thyroid nodule sonography based on deep learning convolutional neural network (CNN).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We retrospectively included 485 thyroid nodules with definite pathology in two tertiary hospitals. The AI diagnostic system was constructed for automatic detection and diagnosis of nodules based on deep learning CNN equipped with image mode and video mode. One gray-scale ultrasound (US) image of each nodule from the two hospitals was selected for diagnosis in image mode (AI model<sub>img</sub>). A US video of each nodule from the second hospital was analyzed in video mode (AI model<sub>vid</sub>). Performance of AI model<sub>img</sub>, AI model<sub>vid</sub>, and three radiologists with 3–15 years of US experience was evaluated. Sonographic features probably influencing the accuracy of AI model<sub>img</sub> were screened out by binary logistic regression analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Although the experienced radiologist achieved highest sensitivity, accuracy and the area under the receiver operating characteristic curve (AUC) compared to AI model<sub>img</sub> and two junior radiologists, there was no significant difference between AUCs of AI model<sub>img</sub> and experienced radiologist (0.770 [0.718–0.816] vs. 0.799 [0.750–0.843] in first hospital dataset, <i>p</i> = 0.253; 0.731 [0.660–0.794] vs. 0.780 [0.712–0.838] in second hospital dataset, <i>p</i> = 0.105). When US videos were used for diagnosis instead of images, significantly higher specificity (0.575 [0.489–0.661] vs. 0.693 [0.613–0.773], <i>p</i> = 0.003), accuracy (0.667 [0.598–0.736] vs. 0.744 [0.681–0.808], <i>p</i> = 0.002) and AUC (0.731 [0.660–0.794] vs. 0.780 [0.713–0.839], <i>p</i> = 0.016) were achieved by AI model<sub>vid</sub>. AI model<sub>img</sub> was more likely to make a correct diagnosis in benign nodules with circumscribed margin (OR = 3.46, <i>p =</i> 0.003), hyperechoic or isoechoic echogenicity (OR = 8.83, <i>p</i> < 0.001) and none of echogenic foci or with large comet-tail artifacts (OR = 2.28, <i>p</i> = 0.041). Respectively, AI model<sub>img</sub> acquired higher accuracy in malignant nodules with hypoechoic or very hypoechoic echogenicity (OR = 3.33, <i>p</i> = 0.034) and irregular margin (OR = 4.51, <i>p</i> = 0.003). In TR1 and TR2 (ACR TI-RADS risk level) nodules, accuracy of AI model<sub>img</sub> was 100% (6 of 6) and 90% (27 of 30).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The AI diagnostic system is feasible and reliable in autom","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1931-1941"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148264630","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}
Maddalena Paoli, Pietro Pasquini, Alessandra Pennetta, Ghizzi Chiara, Maria Cristina Scifo, Evaldo Giacomucci
{"title":"Ultrasound Characteristics of Twisted Pedunculated Subserosal Uterine Leiomyomas: A Case Report and a Systematic Review of the Literature","authors":"Maddalena Paoli, Pietro Pasquini, Alessandra Pennetta, Ghizzi Chiara, Maria Cristina Scifo, Evaldo Giacomucci","doi":"10.1002/jcu.70292","DOIUrl":"10.1002/jcu.70292","url":null,"abstract":"<p>Torsion of pedunculated subserosal uterine leiomyomas (TPSUL) is a rare but potentially severe condition that may require emergency surgery. This article aims to summarize the existing literature by presenting a systematic review and an illustrative case report. A total of 38 articles describing 42 cases of TPSUL were analyzed to identify recurring ultrasound features that may aid in preoperative diagnosis. The most frequently reported findings included a mean maximum diameter of approximately 10 cm, increased size compared to prior scans (100%), heterogeneous echotexture (81%), regular borders (90%), and posterior or trans-lesional acoustic shadows (94%). Additional common features were the presence of free pelvic fluid (57%), cystic areas with irregular margins and hypo-anechoic content (55%), and absent (68%) or reduced (32%) vascularization of the lesion. A vascular pedicle was identified in 28% of cases, with signs of torsion in 12.5% and interruption of vascular flow at the pedicle base in 25%. The ultrasound features observed in our case, involving a 29-year-old pregnant patient at 21 weeks' gestation, were consistent with those described in the literature. These findings support the role of ultrasound as a useful tool for the preoperative identification of TPSUL and lay the foundation for future diagnostic standardization.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1981-1994"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcu.70292","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148205234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marcela Celiberti Soveral, Victor Arthur Ohannesian, Giovana Baracat Alvarez, Bruno Marçola Ishizuka, Matheus Almeida Cabral, Priscila Mina Falsarella, Pedro Henrique Machado Carani, Victor Arantes Jabour, Guilherme Ciconelli Del Guerra, Miguel José Francisco-Neto, Marcelo Rocha Corrêa da Silva, Antonio Rahal-Junior, Rodrigo Gobbo Garcia, Marcos Roberto Gomes de Queiroz
{"title":"A Bibliometric and Visualization Analysis of Global Trends and Research Frontiers on Contrast-Enhanced Ultrasound in Liver Diseases","authors":"Marcela Celiberti Soveral, Victor Arthur Ohannesian, Giovana Baracat Alvarez, Bruno Marçola Ishizuka, Matheus Almeida Cabral, Priscila Mina Falsarella, Pedro Henrique Machado Carani, Victor Arantes Jabour, Guilherme Ciconelli Del Guerra, Miguel José Francisco-Neto, Marcelo Rocha Corrêa da Silva, Antonio Rahal-Junior, Rodrigo Gobbo Garcia, Marcos Roberto Gomes de Queiroz","doi":"10.1002/jcu.70291","DOIUrl":"10.1002/jcu.70291","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aims to perform a comprehensive bibliometric analysis to map global research trends, thematic concentrations, and knowledge gaps in Contrast-enhanced ultrasound (CEUS) applied to liver diseases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A systematic search was conducted in the Scopus database on November 5, 2024, encompassing studies from 1983 to 2024. A total of 4711 articles were retrieved using controlled descriptors and Boolean operators targeting CEUS in hepatic contexts. Bibliometric mapping was performed using VOSviewer (v1.6.19) and Biblioshiny. Metrics included annual scientific output, citation analysis, author/institution productivity, keyword co-occurrence, and country collaborations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>CEUS publications increased exponentially after 2000, peaking in 2021 with 440 articles, and declining to 326 in 2024. China led in total publications (10 427), followed by Japan (5182), while Italy had the highest citation count (12 770). Hepatocellular carcinoma was the most recurrent keyword (872 mentions), followed by “liver” (464), “MRI” (178), and “AI” (29), indicating a shift toward multimodal and computational imaging. Clustering analyses identified four major thematic areas: oncologic applications, ablation techniques, microbubble innovation, and AI integration.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This is the first large-scale bibliometric analysis focused exclusively on CEUS in liver diseases. The findings highlight CEUS as a mature yet dynamic research field, with emerging emphasis on precision imaging and AI. Despite a recent decline in publication volume, scientific impact remains substantial.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Implications</h3>\u0000 \u0000 <p>These findings reinforce the clinical relevance of CEUS in liver imaging and support future research integrating standardized reporting and advanced analytic approaches to further enhance diagnostic accuracy and clinical translation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1973-1980"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148199080","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}
Betul Tokgoz Cakir, Gulsan Karabay, Gizem Aktemur, Zeynep Seyhanlı, Sadun Sucu, Nazan Vanlı Tonyalı, Ahmet Arif Filiz, Tuğba Kolomuç Gayretli, Seda Aydoğan, Hande Esra Koca Yıldırım, Gülşah Dağdeviren
{"title":"Fetal Arterial and Venous Doppler Parameters Based on Amniotic Fluid Volume and Glycemic Status","authors":"Betul Tokgoz Cakir, Gulsan Karabay, Gizem Aktemur, Zeynep Seyhanlı, Sadun Sucu, Nazan Vanlı Tonyalı, Ahmet Arif Filiz, Tuğba Kolomuç Gayretli, Seda Aydoğan, Hande Esra Koca Yıldırım, Gülşah Dağdeviren","doi":"10.1002/jcu.70294","DOIUrl":"10.1002/jcu.70294","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>In this study, it was aimed to evaluate fetal arterial and venous Doppler parameters and to assess their association with adverse obstetric outcomes by focusing on the amniotic fluid volume and glycemic status of pregnant women.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A prospective study was conducted at a tertiary care center from August 2022 to July 2024, including 171 participants divided into four groups: control (normal amniotic fluid, <i>n</i> = 47), idiopathic polyhydramnios (<i>n</i> = 42), gestational diabetes mellitus (GDM) with polyhydramnios (<i>n</i> = 42), and GDM with normal amniotic fluid (<i>n</i> = 40). Doppler ultrasonography was performed to measure arterial parameters, including middle cerebral artery (MCA), umbilical artery (UA), and uterine artery (UtA), and venous parameters, including pulmonary vein (PV), inferior vena cava (IVC), and ductus venosus (DV). Composite adverse perinatal outcomes (CAPO) were analyzed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>MCA S/D ratio and pulsatility index (PI) were significantly elevated in both GDM groups (<i>p</i> < 0.001), while UA and UtA parameters showed no significant differences between the groups. Venous Doppler parameters, including PV, IVC, and DV, did not correlate significantly with CAPO. The hepatic vein S/D ratio demonstrated a borderline significant increase in the idiopathic polyhydramnios group (<i>p</i> = 0.041). Although certain adverse neonatal outcomes, such as transient tachypnea of the newborn (TTN) and neonatal hypoglycemia, were more frequently observed in the GDM groups, no significant association was found between Doppler parameters and CAPO.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Venous Doppler measurements demonstrated minimal utility in forecasting unfavorable neonatal outcomes, whereas MCA Doppler parameters showed modest discriminatory ability and may reflect altered fetal hemodynamics in GDM pregnancies; however, their clinical utility remains limited. These findings highlight the complexity of outcomes associated with polyhydramnios and underscore the need for larger prospective studies to improve risk prediction in high-risk pregnancies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1912-1921"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148251808","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}
Nordeval Cavalcante Araújo, Lilimar da Silveira Rioja, José Hermógenes Rocco Suassuna
{"title":"Correlation Between Computer-Assisted Ultrasonographic Parameters and Histological Findings in Glomerular Diseases: A Multivariate Ordinal Analysis","authors":"Nordeval Cavalcante Araújo, Lilimar da Silveira Rioja, José Hermógenes Rocco Suassuna","doi":"10.1002/jcu.70297","DOIUrl":"10.1002/jcu.70297","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>This study aimed to correlate renal ultrasonographic and Doppler parameters with histological findings from kidney biopsies using computer-assisted image analysis. Objective measures included the cortical-to-liver (or spleen) echogenicity ratio, corticomedullary ratio (CMR), renal resistivity index (RRI), splenic resistivity index (SRI), and a derived index (DI-RISK).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The patients' age and CKD-EPI–derived estimated glomerular filtration rate (eGFR) were recorded. Histological lesions encompassed all components of the lupus nephritis activity and chronicity indices. Ultrasound images were analyzed to extract grayscale values from manually defined regions of interest. RRI was measured in interlobar arteries, and SRI at the intraparenchymal splenic artery. The DI-RISK index expressed the RRI difference from the SRI as a percentage of the RRI. Associations were evaluated using multivariate ordinal logistic regression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Increased cortical echogenicity was independently correlated with severe interstitial fibrosis/tubular atrophy (IF/TA) and lower eGFR. CMR was reduced in the presence of interstitial infiltrates. IF/TA was also associated with reduced kidney size. While resistivity indices correlated with vascular lesions, age, and eGFR in the univariate analysis, only age and eGFR remained significant in the multivariate models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Computer-assisted ultrasonography correlates with key histological changes. Cortical echogenicity and kidney size may help identify advanced chronic damage noninvasively.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1885-1893"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148211455","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":"Diagnostic Performance of Diffusion-Weighted Imaging for Evaluation of Breast Lesions: Correlation With Prognostic Factors and Histological Phenotypes","authors":"Osman Konukoglu, Murat Kaya, Baris Can Arslan","doi":"10.1002/jcu.70303","DOIUrl":"10.1002/jcu.70303","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To investigate the role of diffusion-weighted imaging (DWI) in the differential diagnosis of breast lesions and to determine whether there is an association with histological subtypes and prognostic factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials & Methods</h3>\u0000 \u0000 <p>This retrospective study was approved by our institution's ethics committee. A total of 456 patients who underwent ultrasound-guided tru-cut biopsy between January 2024 and January 2025 were evaluated. Patients who had pre-biopsy breast MRI examinations with diagnostically adequate DWI sequences were included. Apparent diffusion coefficient values (ADC<sub>mean</sub> and ADC<sub>ratio</sub>) were measured.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The mean age of the patients was 46.79 ± 12.55 years. A total of 96 breast masses were evaluated in the study, of which 44.79% (<i>n</i> = 43) were benign, and 55.21% (<i>n</i> = 53) were malignant. A statistically significant difference was observed between the benign group (1.22 ± 0.24 × 10<sup>−3</sup> mm<sup>2</sup>/s) and the malignant group (0.76 ± 0.18 × 10<sup>−3</sup> mm<sup>2</sup>/s) in terms of ADC<sub>mean</sub> values (<i>p</i> < 0.001). The cut-off value for the ADC<sub>mean</sub> was determined to be 0.955 × 10<sup>−3</sup> mm<sup>2</sup>/s (<i>p</i> < 0.001). No statistically significant association was found among histological phenotypes within the malignant group (<i>p</i> > 0.05). A statistically significant difference in ADC<sub>ratio</sub> values was observed between HER2-negative cases (0.56 ± 0.12) and HER2-positive cases (0.49 ± 0.14) (<i>p</i> = 0.043).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>DWI and ADC represent reliable methods for distinguishing between benign and malignant breast lesions. The observed association between ADC<sub>ratio</sub> values and HER2 expression suggests that this parameter may be useful in identifying breast cancer patients with poor prognostic profiles.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1922-1930"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148251765","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}
Selda Guven, Baki Hekimoglu, Ata T. Arikok, Irmak Durur-Subasi
{"title":"Second-Look Ultrasound for MRI-Detected Lesions: MRI Features, Detection Rate, and Sonographic Findings","authors":"Selda Guven, Baki Hekimoglu, Ata T. Arikok, Irmak Durur-Subasi","doi":"10.1002/jcu.70274","DOIUrl":"10.1002/jcu.70274","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Second-look US emerged as a feasible tool to evaluate MRI-detected lesions, although data regarding the accuracy and optimal lesion selection for second-look US is limited. Therefore, we evaluated the second-look US detection rate of breast lesions detected initially on MRI by using MRI features and compared second-look US findings across benign and malignant lesions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Material and Methods</h3>\u0000 \u0000 <p>A total of 110 MRI-detected lesions subsequently evaluated with the second-look US were retrospectively reviewed. The performance of MRI features in the prediction of second-look US detection was evaluated with ROC analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The positive and negative predictive values of second-look US for malignancy detection were 28.8% and 96.1%, respectively. In multivariate analyses, the MRI BI-RADS category (OR: 11.896, <i>p</i> < 0.001) and lesion type (OR: 9.470, <i>p</i> = 0.001) were significantly associated with second-look US detection. Combined scoring with these factors could predict second-look US detection [AUC: 0.712, 95% CI: 0.617–0.807 <i>p</i> < 0.001]. Furthermore, lesions with irregular shapes and margins were more often malignant in the analysis of US findings (<i>p</i> < 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The MRI BI-RADS category and lesion type could predict detection in the second-look US for MRI-detected lesions. Besides, second-look US could give additional information to distinguish between benign and malignant masses.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1829-1835"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148015755","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":"Effectiveness of Lung Ultrasound in Diagnosing Pediatric Pneumonia and Outcomes in Implementation of Its Quality Control System","authors":"Linlin Zhang, Xinhua Sun, Chengbo Jin, Haiyuan Wu","doi":"10.1002/jcu.70309","DOIUrl":"10.1002/jcu.70309","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>This study aims to investigate the effectiveness of lung ultrasound (LUS) in diagnosing pediatric pneumonia and the outcomes of implementing a “personnel-equipment-operation-interpretation-feedback” quality control system.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective study was made on 479 pediatric patients with suspected pneumonia. The LUS, chest digital radiography (DR), and chest computed tomography (CT) were performed on the patients, and the sensitivity, specificity, positive predictive value, and negative predictive value (NPV) of the three inspection methods were compared using comprehensive clinical diagnosis as the reference standard. In addition, a “personnel-equipment-operation-interpretation-feedback” quality control system of LUS was constructed and implemented in 412 cases, and the diagnosis accordance rate, image qualification rate, and operation standardization rate of LUS before and after implementation of the quality control system were compared.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The sensitivity, specificity, and NPV of LUS for pediatric pneumonia were significantly higher than those of CT and DR, respectively (<i>p</i> < 0.05). After implementation of the quality control system, the diagnosis accordance rate, image qualification rate, and operation standardization rate of LUS significantly increased compared with before implementation of the quality control system (<i>p</i> < 0.05). In addition, after implementation of the quality control system, its main items were significantly improved compared with before.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>LUS has good diagnostic effectiveness for pediatric pneumonia. The construction and implementation of this multidimensional LUS quality control system can effectively improve the accuracy and reliability of diagnosis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":"54 8","pages":"1967-1972"},"PeriodicalIF":1.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148295121","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}