Journal of Clinical Ultrasound最新文献_第7页

CONGENITAL MEGALOURETHRA: Lower Urinary Tract Obstruction With "The Sandwich Sign". 先天性大尿道：下尿路梗阻伴“三明治征”。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.24078

Ishita Agarwal, Akshatha Prabhu, Srishti Chandra, Shobhna Sengar, Anita Kaul

引用次数: 0

Fetal Aortic Isthmus Doppler Evaluation in Pre-Eclampsia Patients. 胎儿主动脉峡部多普勒评价先兆子痫患者。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.24079

Gulsan Karabay, Zeynep Seyhanli, Ahmet Arif Filiz, Betul Tokgoz Cakir, Gizem Aktemur, Sadun Sucu, Nazan Vanli Tonyali, Furkan Akin, Umut Karabay, Zehra Vural Yilmaz

{"title":"Fetal Aortic Isthmus Doppler Evaluation in Pre-Eclampsia Patients.","authors":"Gulsan Karabay, Zeynep Seyhanli, Ahmet Arif Filiz, Betul Tokgoz Cakir, Gizem Aktemur, Sadun Sucu, Nazan Vanli Tonyali, Furkan Akin, Umut Karabay, Zehra Vural Yilmaz","doi":"10.1002/jcu.24079","DOIUrl":"https://doi.org/10.1002/jcu.24079","url":null,"abstract":"Purpose: This study aimed to evaluate the role of fetal aortic isthmus (AoI) Doppler parameters in predicting adverse perinatal outcomes in pre-eclampsia patients.Methods: This prospective study included 60 pre-eclampsia patients (divided into early-onset [EOPE] and late-onset [LOPE] groups) and 74 controls from Ankara Etlik City Hospital. Doppler parameters-such as aortic isthmus flow index (IFI), systolic/diastolic ratio (S/D), pulsatility index (PI), and resistive index (RI)-were collected, and their associations with adverse perinatal outcomes were analyzed using ROC analysis.Results: In the EOPE group, gestational age, birth weight, and APGAR scores were significantly lower compared to the LOPE and control groups (p < 0.001). The EOPE group also showed significantly higher rates of NICU (neonatal intensive care unit) admission, preterm birth, respiratory distress syndrome, and need for mechanical ventilation (p < 0.001). The cut-off values for IFI (> 1.13) and AoI S/D (> 7.42) were found to be significant predictors of adverse perinatal outcomes.Conclusion: AoI Doppler parameters may aid in predicting adverse neonatal outcomes in pre-eclampsia patients. The values of IFI, S/D, PI, and RI show potential as useful tools in clinical management, especially in monitoring high-risk pregnancies.","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078312","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}

引用次数: 0

Melanoma Metastasis to the Gallbladder. An Incomplete Literature Review. 黑色素瘤转移到胆囊。一篇不完整的文献综述。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.23914

Orlando Catalano, Antonio Corvino

引用次数: 0

Unveiling Cleidocranial Dysplasia: An Antenatal Journey Through Ultrasound and Delivering the Importance of Taking Phenotype History; "Echoes of the Past". 揭示锁骨颅发育不良：超声产前之旅及记录表型史的重要性“往昔的回声”。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.24082

Revati Tekwani, Hemangini Thakkar, Aadesh Singh Parmar

引用次数: 0

Incidence and Diagnostic Performance of Ultrasound for Abdominal Organ Involvements (Liver, Spleen, Renal, Pancreas, and Gastrointestinal Tract) in Pediatric Patients With Hematological Malignancy. 小儿血液恶性肿瘤患者腹部器官（肝、脾、肾、胰腺和胃肠道）受累的超声发生率和诊断表现。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.24083

Takahiro Hosokawa, Yumiko Sato, Yutaka Tanami, Yuki Arakawa, Kyoichi Deie, Itaru Iwama, Hiroshi Kawashima, Eiji Oguma

{"title":"Incidence and Diagnostic Performance of Ultrasound for Abdominal Organ Involvements (Liver, Spleen, Renal, Pancreas, and Gastrointestinal Tract) in Pediatric Patients With Hematological Malignancy.","authors":"Takahiro Hosokawa, Yumiko Sato, Yutaka Tanami, Yuki Arakawa, Kyoichi Deie, Itaru Iwama, Hiroshi Kawashima, Eiji Oguma","doi":"10.1002/jcu.24083","DOIUrl":"https://doi.org/10.1002/jcu.24083","url":null,"abstract":"Objectives: To demonstrate abdominal organ (liver, spleen, renal, pancreatic, and gastrointestinal tract) involvement incidence in pediatric patients with hematological malignancy and describe the diagnostic performance of ultrasound in detecting this involvement.Methods: Sixty-five pediatric patients with hematological malignancies who underwent ultrasound before other imaging examinations, such as computed tomography or fluorodeoxyglucose positron emission tomography, were reviewed. To assess the diagnostic performance of ultrasound for abdominal organ involvement, results were compared with other imaging findings.Results: Thirty-four patients (52.3%) exhibited abdominal organ involvement (liver, 40.0% [26/65]; spleen, 38.5% [25/65]; kidney, 12.3% [8/65]; pancreas, 6.2% [4/65]; and gastrointestinal tract, 7.7% [5/65]). Sonography could detect 22 of 26, 23 of 25, five of eight, three of four, and four of five cases of liver, spleen, renal, and pancreas involvement, respectively. Diagnostic accuracy, sensitivity, and specificity for sonography were 93.8%, 88.5%, and 0% (liver), 96.9%, 92.0%, and 0% (spleen), 95.4%, 62.5%, and 0% (kidney), 98.5%, 75%, and 0% (pancreas), and 98.5%, 80%, and 0% (gastrointestinal tract), respectively.Conclusions: Abdominal organ involvement incidence in hematological malignancies was 52.3%. Ultrasound provided reliable diagnostic performance for the initial evaluation of these involvements, and physicians could rapidly plan adequate further examinations based on these results.","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078319","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}

引用次数: 0

Ultrasound Inversion Imaging Improves the Specificity of BI-RADS Category 4A Masses, Especially in Masses Without Calcification. A Single-Center Experience. 超声反转成像提高了BI-RADS 4A类肿块的特异性，特别是在无钙化的肿块中。单中心体验。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.24077

Jiajia Wang, Yunyun Zhan, Yu Bi, Xiabi Wu, Rubing Li, Yunxin Gu, Lan Gao, Tong Tang, Mei Peng

{"title":"Ultrasound Inversion Imaging Improves the Specificity of BI-RADS Category 4A Masses, Especially in Masses Without Calcification. A Single-Center Experience.","authors":"Jiajia Wang, Yunyun Zhan, Yu Bi, Xiabi Wu, Rubing Li, Yunxin Gu, Lan Gao, Tong Tang, Mei Peng","doi":"10.1002/jcu.24077","DOIUrl":"https://doi.org/10.1002/jcu.24077","url":null,"abstract":"Objective: This study aimed to assess whether ultrasound inversion imaging enhances the specificity of Breast Imaging Reporting and Data System (BI-RADS) BI-RADS 4A masses, reducing unnecessary biopsies.Method: From July 2021 to March 2023, 425 pathologically confirmed breast masses were collected from the Second Affiliated Hospital of Anhui Medical University. Based on a five-point scale of inversion imaging criteria proposed in a previous study, the diagnostic performance of three classification algorithms, including BI-RADS, BI-RADS category after inversion imaging, and BI-RADS category after inversion imaging without calcification masses-via receiver operating characteristic (ROC) curve analysis.Results: Among the 425 breast masses, 116 masses were classified as BI-RADS category 4A (82 benign, 34 malignant). After inversion imaging, 74 benign BI-RADS category 4A masses were correctly downgraded to BI-RADS category 3, avoiding biopsies. ROC curve values indicated that the specificity, sensitivity, and accuracy were 31.06%, 98.48%, and 72.94%, respectively, with BI-RADS, 72.05%, 95.83%, and 86.82%, respectively, with BI-RADS after inversion imaging, and 86.51%, 97.75%, and 93.09%, respectively, with BI-RADS category after inversion imaging without calcification masses.Conclusion: Ultrasound inversion imaging offers a feasible supplementary method to distinguish between benign and malignant breast masses, improving BI-RADS 4A specificity, especially for non-calcified masses.","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078345","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}

引用次数: 0

Response Letter. 回应信。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-15 DOI: 10.1002/jcu.23934

Zhidan Geng, Congyu Tang, Jianfei Chen, Rongkui Luo, Qing Yu, Haixia Yuan

引用次数: 0

JCU's TOP ASSOCIATE EDITORS & REVIEWERS 2024 JCU的顶级副编辑和审稿人2024

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-14 DOI: 10.1002/jcu.24053

引用次数: 0

Ultrasound Diagnosis Two Cases of Multiple Primary Malignancies Neoplasms: Thyroid Carcinoma, Breast Carcinoma, and Non-Hodgkin Lymphoma. 超声诊断甲状腺癌、乳腺癌、非霍奇金淋巴瘤2例。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-14 DOI: 10.1002/jcu.24003

Jing Xu, Yasheng Kang, Liping Wu, Congcong Yang, Shudong Pang

引用次数: 0

Ultrasound-Based Transfer Learning Model to Assist Partially Cystic Thyroid Nodule Diagnosis. 基于超声的迁移学习模型辅助部分囊性甲状腺结节诊断。

IF 1.2 4区医学

Journal of Clinical Ultrasound Pub Date : 2025-05-13 DOI: 10.1002/jcu.24073

Qibo Zhang, Zhaohui Sun, Yudong Wang, Chuanpeng Zhang, Ying Zou, Yan Shi

{"title":"Ultrasound-Based Transfer Learning Model to Assist Partially Cystic Thyroid Nodule Diagnosis.","authors":"Qibo Zhang, Zhaohui Sun, Yudong Wang, Chuanpeng Zhang, Ying Zou, Yan Shi","doi":"10.1002/jcu.24073","DOIUrl":"https://doi.org/10.1002/jcu.24073","url":null,"abstract":"Purpose: A transfer learning model based on ultrasound was established to predict the malignant probability of partially cystic thyroid nodule (PCTN) preoperatively, providing clinicians with a non-invasive primary screening method.Methods: 258 PCTNs of 258 patients from January 2020 to January 2024 were analyzed retrospectively. The dataset was randomly divided into a training set and a test set in a ratio of 8:2. Five different pre-trained models were chosen for transfer learning, including EfficientNet, Inception_v3, Mobilenet_v3, SqueezeNet, and VGG19. The area under the curve (AUC), accuracy, sensitivity, and specificity of the training and test cohorts were calculated. Grad-Class Activation Map (Grad-CAM) was drawn to interpret the results visually. All the ultrasound images were reviewed by two radiologists; multivariate logistic analyses explored the independent risk factors for malignant PCTN. The diagnostic effectiveness of transfer learning models and radiologists was compared.Results: Inception_v3 model achieved the highest AUC of 0.9243 (95% CI: 0.8849-0.9439) in predicting the malignancy of PCTN in the training cohort, with an accuracy of 85.19%, sensitivity of 85.26%, and specificity of 85.00%. The diagnostic efficiency of the Inception_v3 model was better than that obtained by multivariate logistic regression analysis with AUC of 0.8247 (95% CI: 0.7579-0.8915) in the training cohort, with an accuracy of 83.33%, a sensitivity of 68.00%, and a specificity of 71.80%. Red or warm-colored regions in Grad-CAM represented that these features were more important to model decisions, while blue or cool-colored regions represented those features that were less important.Conclusion: Ultrasound-based transfer learning model could predict the malignant probability of PCTN noninvasively before surgery, especially the Inception_v3 model, to assist clinical decision-making.","PeriodicalId":15386,"journal":{"name":"Journal of Clinical Ultrasound","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995657","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}

引用次数: 0