Journal of Clinical Ultrasound最新文献

{"title":"Point of Care Internal Jugular Vein Ultrasound for the Assessment of Perioperative Hemodynamics: Methodology and Critical Analysis Review.","authors":"Nefeli Moschovaki, Eleni Spiliotaki, Vasiliki Brozou, Maria Riga, Erond Zeneli, Georgia Dalamanga, Maria Fountoulaki, Labrini Banasiou, Thomas Papadimos, Theodosios Saranteas","doi":"10.1002/jcu.70060","DOIUrl":"https://doi.org/10.1002/jcu.70060","url":null,"abstract":"<p><p>Sonographic examination of major vessels can be a valuable bedside tool for perioperative hemodynamic assessment. In the present review, we present the anatomic and physiological aspects of internal jugular vein ultrasonography, its utility in assessing central venous pressure, intravascular volume status, fluid responsiveness, and its predictive value regarding post-spinal anesthesia hypotension. The existing literature is primarily comprised of small, observational studies with great heterogeneity in their methodology and shortcomings in data development and analysis, rendering the generalization of their results difficult to interpret for daily clinical practice. Further clinical research is needed to validate the accuracy and reliability of internal jugular vein ultrasonography in these various applications.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008263","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":"Development and Validation of a Prediction Model for Acute Ischemic Stroke Based on a Novel Ultrasound-Based Carotid Plaque Scoring System and Clinical Factors.","authors":"Xiaowen Sun, Huimin Niu, Yueying Pei, Xiaona Wang, Min Chen","doi":"10.1002/jcu.70072","DOIUrl":"https://doi.org/10.1002/jcu.70072","url":null,"abstract":"<p><strong>Background: </strong>Acute ischemic stroke (AIS) is characterized by high incidence, sudden onset, and often poor prognosis. Carotid atherosclerosis plays a crucial role in its pathogenesis, and ultrasound imaging offers a non-invasive method for evaluating carotid plaque characteristics. This study aimed to develop and validate a prediction model for AIS risk based on a novel ultrasound-based carotid plaque scoring system combined with clinical risk factors.</p><p><strong>Methods: </strong>A retrospective case-control study was conducted, including 100 patients with carotid atherosclerosis who attended Hebei General Hospital from January 2022 to December 2023. Patients were divided into an AIS group (n = 60) and a non-AIS group (n = 40). Univariate and multivariable logistic regression analyses were used to identify significant ultrasound and clinical predictors of AIS. A carotid plaque ultrasound scoring system was constructed based on selected imaging features and integrated with clinical risk factors to establish a nomogram prediction model for AIS. The performance of the scoring system and the combined model was evaluated using receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and calibration plots. Internal validation of the AIS prediction model was performed using the bootstrap resampling method.</p><p><strong>Results: </strong>Independent predictors of AIS included plaque echogenicity, morphology, contrast-enhanced ultrasound score, history of hypertension, C-reactive protein (CRP), fasting blood glucose (FBG), and very-low-density lipoprotein (VLDL). The ultrasound scoring system alone yielded an area under the curve (AUC) of 0.88, while the integrated model incorporating clinical factors achieved an AUC of 0.94. Both calibration and decision curves demonstrated excellent agreement and clinical utility. Bootstrap validation confirmed the model's robustness and reliability.</p><p><strong>Conclusions: </strong>The carotid plaque ultrasound scoring system provides a reliable method for AIS risk prediction. The AIS prediction model, developed using this scoring system combined with clinical risk factors, improves predictive accuracy and helps in the early identification of high-risk patients.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008212","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":"Danon Disease Diagnosed by Multimodal Imaging: A Case Report.","authors":"Qiuyu Xiao, Shuzhen Wang, Qinghua Gong, Zhengkai Zhao, Lijuan Zhang, Feng Xiong","doi":"10.1002/jcu.70064","DOIUrl":"https://doi.org/10.1002/jcu.70064","url":null,"abstract":"<p><p>Danon disease is an X-chromosome dominant disorder caused by variants in lysosomal-associated membrane protein-2 (LAMP-2). Patients often present with cardiac lesions as their initial symptom, including hypertrophic cardiomyopathy, arrhythmia, and heart failure. We found a case of a 13-year-old male patient with multimodal imaging suggestive of left ventricular hypertrophy, decreased left ventricular myocardial perfusion, electrocardiographic abnormalities, and abnormal serologic parameters. Genetic testing revealed a variant located in the LAMP2 gene, leading to the diagnosis of Danon disease. Danon disease is a multisystem disorder with a predominance of cardiac lesions, and it should be considered when imaging suggests myocardial hypertrophy or dilatation.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145000642","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":"Predicting Efficacy of Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer Using Transrectal Contrast-Enhanced Ultrasound-Based Radiomics Model.","authors":"Zhongfan Liao, Yin Yang, Yuan Luo, Hao Yin, Jigang Jing, Hua Zhuang","doi":"10.1002/jcu.70071","DOIUrl":"https://doi.org/10.1002/jcu.70071","url":null,"abstract":"<p><strong>Background: </strong>Predicting tumor regression grade (TRG) after neoadjuvant chemoradiotherapy (NCRT) in patients with locally advanced rectal cancer (LARC) preoperatively accurately is crucial for providing individualized treatment plans. This study aims to develop transrectal contrast-enhanced ultrasound-based (TR-CEUS) radiomics models for predicting TRG.</p><p><strong>Methods: </strong>A total of 190 LARC patients undergoing NCRT and subsequent total mesorectal excision were categorized into good and poor response groups based on pathological TRG. TR-CEUS examinations were conducted before and after NCRT. Machine learning (ML) models for predicting TRG were developed by employing pre- and post-NCRT TR-CEUS image series, based on seven classifiers, including random forest (RF), multi-layer perceptron (MLP) and so on. The predictive performance of models was evaluated using receiver operating characteristic curve analysis and Delong test.</p><p><strong>Results: </strong>A total of 1525 TR-CEUS images were included for analysis, and 3360 ML models were constructed using image series before and after NCRT, respectively. The optimal pre-NCRT ML model, constructed from imaging series before NCRT, was RF; whereas the optimal post-NCRT model, derived from imaging series after NCRT, was MLP. The areas under the curve for the optimal RF and MLP models demonstrated values of 0.609 and 0.857, respectively, in the cross-validation cohort, with corresponding values of 0.659 and 0.841 observed in the independent test cohort. Delong tests showed that the predictive efficacy of the post-NCRT model was statistically higher than that of the pre-NCRT model (p < 0.05).</p><p><strong>Conclusions: </strong>Radiomics model developed by TR-CEUS images after NCRT demonstrated high predictive performance for TRG, thereby facilitating precise evaluation of therapeutic response to NCRT in LARC patients.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145000652","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":"Transabdominal Ultrasound-Guided Transcervical Submucosal Uterine Leiomyoma Resection: A Case Report.","authors":"Mehmet Bulbul, Berna Dilbaz, Mehmet Can Nacar, Talip Karacor","doi":"10.1002/jcu.70077","DOIUrl":"https://doi.org/10.1002/jcu.70077","url":null,"abstract":"<p><p>Hysteroscopic resection is considered the gold standard treatment for the removal of submucous uterine leiomyoma (SMLs). However, when hysteroscopic equipment is unavailable, alternative treatment approaches must be explored. In this case report, we present a video demonstrating the transcervical resection of an SML performed under transabdominal ultrasonography guidance on a patient with persistent abnormal uterine bleeding. A 37 mm Type 0 leiomyoma was successfully removed in 9 min without any complications. Six months postoperatively, the patient conceived spontaneously and delivered a healthy infant at term. This case suggests that, in the absence of hysteroscopic access, transcervical removal of SMLs using ring forceps under ultrasound guidance may serve as a safe and feasible alternative.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145000598","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":"Hepatitis Virus Infection Predicts Heterogeneous Enhancement Patterns in Intrahepatic Cholangiocarcinoma on Contrast-Enhanced Ultrasound: A Retrospective Radiological Cohort Study.","authors":"Xiaorong Lv, Nan Wang, Chi Zhang, Ran Zheng, Yuanqing Zhang, Rong Yang, Guo Chen, Fang Nie","doi":"10.1002/jcu.70076","DOIUrl":"https://doi.org/10.1002/jcu.70076","url":null,"abstract":"<p><strong>Background: </strong>Chronic hepatitis is a significant risk factor for intrahepatic cholangiocarcinoma (ICC). Accurate identification of hepatitis-associated ICC is critical for optimizing clinical management. This study aimed to differentiate hepatitis-associated ICC from non-hepatitis cases by integrating clinical and contrast-enhanced ultrasound (CEUS) features.</p><p><strong>Methods: </strong>Using histopathology as the gold standard, a retrospective analysis was conducted on ICC patients who underwent CEUS at the Second Hospital of Lanzhou University (July 2020 to February 2025). Patients were stratified into hepatitis (n = 36) and non-hepatitis cirrhosis (n = 82) groups. Baseline clinical and ultrasonographic characteristics were compared. Independent predictors of hepatitis-associated ICC were identified via univariate and multivariate logistic regression, with diagnostic performance evaluated by receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>Compared to non-hepatitis ICC (69.5%), hepatitis-associated ICC (30.5%) showed significant differences in age (p = 0.001), male predominance (p = 0.001), elevated alpha-fetoprotein (AFP, p = 0.002), carbohydrate antigen 19-9 (CA19-9, p = 0.010), absence of intrahepatic bile duct dilation (p = 0.022), and homogeneous arterial-phase enhancement on CEUS (p < 0.001). Multivariate analysis identified male gender, advanced age, elevated AFP, CA19-9 levels (27-100 U/mL), and homogeneous enhancement as independent predictors. The predictive model demonstrated an AUC of 0.8713 (95% CI: 0.7981-0.9445), with 82.9% sensitivity and 77.8% specificity.</p><p><strong>Conclusion: </strong>Conventional ultrasound and CEUS features provide additional diagnostic value for the non-invasive identification of hepatitis-associated ICC, enhancing preoperative risk stratification and therapeutic decision making.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145000616","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-Based Prediction of Lymph Node Metastasis and Volume Using Preoperative Ultrasound Features in Papillary Thyroid Carcinoma.","authors":"Tao Hu, Yuan Cai, Tianhan Zhou, Yu Zhang, Kaiyuan Huang, Xuanwei Huang, Shuoying Qian, Qianyu Wang, Dingcun Luo","doi":"10.1002/jcu.70061","DOIUrl":"https://doi.org/10.1002/jcu.70061","url":null,"abstract":"<p><strong>Objective: </strong>A predictive model of cervical lymph node metastasis and metastasis volume was constructed based on a machine learning algorithm and ultrasound characteristics before surgery.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 573 cases of PTC patients who underwent surgery in our institution, from 2017 to 2022. Patient demographic and clinical characteristics were systematically collected. Feature selection was performed using univariate analysis, Logistic regression (LR) analysis. Statistically significant variables were identified using a threshold of p < 0.05. Predictive models for cervical lymph node metastasis and metastatic volume in papillary thyroid carcinoma were constructed using advanced machine learning algorithms: K-Nearest Neighbors (KNN), Gradient Boosting Machine (XGBoost), and Support Vector Machine (SVM). Model performance was rigorously assessed using validation cohort data, evaluating area under the Receiver Operating Characteristic (ROC) curve, sensitivity, specificity, and accuracy.</p><p><strong>Results: </strong>In this retrospective study of 573 patients (320 had lymph node metastasis, 127 had small volume lymph node metastasis, and 193 had medium-volume lymph node metastasis). In the model predicting the neck lymph node metastasis, the Gradient Boosting method exhibited the best performance, with an area under the ROC curve of 0.784, sensitivity of 76.2%, specificity of 70.6%, and accuracy of 73.8%. In the model predicting the metastatic volume in neck lymph nodes for PTC, the Gradient Boosting method also demonstrated the best performance, with an area under the ROC curve of 0.779, sensitivity of 71.7%, specificity of 75.9%, and accuracy of 74.4%.</p><p><strong>Conclusion: </strong>Machine learning-based predictive models integrating preoperative ultrasound features demonstrate robust performance in stratifying neck lymph node metastasis risk for PTC patients. These models optimize surgical planning by guiding lymph node dissection extent and individualizing treatment strategies, potentially reducing unnecessary extensive surgeries. The integration of advanced computational techniques with clinical imaging provides a data-driven paradigm for preoperative risk assessment in thyroid oncology.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992543","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":"Case Report and Literature Review: Intrathyroid Thymic Carcinoma.","authors":"Jia-Yue Sun, Ji Qi, Yi-Lin Hou, Yun-Fei Zhang","doi":"10.1002/jcu.70069","DOIUrl":"10.1002/jcu.70069","url":null,"abstract":"<p><p>This case report details a case of intrathyroid thymic carcinoma (ITTC). ITTC is extremely rare with few reports. Diagnosis is difficult due to a lack of specific features and depends on pathology. A 36-year-old male was diagnosed. His condition and relevant tests are described. The tumor was removed, and he recovered well. This case report also discusses ITTC's characteristics, diagnosis, treatment, and prognosis, emphasizing its rarity and the need for a better understanding.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144956006","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":"Re: \"Fetal Origins of Adult Disease: Transforming Prenatal Care by Integrating Barker's Hypothesis With AI-Driven 4D Ultrasound\".","authors":"Hasan Nawaz Tahir, Umema Tariq, Shahnila Javed","doi":"10.1002/jcu.70073","DOIUrl":"10.1002/jcu.70073","url":null,"abstract":"","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144956066","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":"Acute Thrombosis Leading to Stuck Mechanical Tricuspid Valve.","authors":"Jiani Qiu, Wenqian Wu, Wenhui Deng, Jing Wang","doi":"10.1002/jcu.70068","DOIUrl":"https://doi.org/10.1002/jcu.70068","url":null,"abstract":"<p><p>Tricuspid prosthetic valve thrombosis is a rare but serious complication of prosthetic valve replacement that can be lethal if not treated properly. Our case underscores that comprehensive echocardiography investigations should be performed day by day after stopping oral anticoagulants in patients with tricuspid valve replacement to prevent adverse outcomes.</p>","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144956041","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}