Medical ultrasonography最新文献_第2页

Ultrasound Attenuation, Liver Texture Index, and HepatoRenal Index: Assessing Reproducibility and Inter-operator Consistency in Clinical Practice. 超声衰减，肝脏质地指数和肝肾指数：评估临床实践中的重复性和操作者之间的一致性。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2025-02-24 DOI: 10.11152/mu-4491

Fan Liu, Haiyan Zeng, Xingxing Yuan, Lingyue Du, Xiaoting Wu, Xue Han, Zaiqiang Chen, Shuai Yang Yang, Jian Zheng

{"title":"Ultrasound Attenuation, Liver Texture Index, and HepatoRenal Index: Assessing Reproducibility and Inter-operator Consistency in Clinical Practice.","authors":"Fan Liu, Haiyan Zeng, Xingxing Yuan, Lingyue Du, Xiaoting Wu, Xue Han, Zaiqiang Chen, Shuai Yang Yang, Jian Zheng","doi":"10.11152/mu-4491","DOIUrl":"10.11152/mu-4491","url":null,"abstract":"Aim: This study aimed to evaluate the reproducibility of Ultrasound Attenuation (USAT), the Liver Texture Index (LTI) and the HepatoRenal Index (HRI).Material and methods: Between May 2023 to December 2023, 279 patients who underwent USAT, LTI and HRI tests at the Ultrasound Department of The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen were included. All patients were examined by a physician with over 4 years of ultrasound experience. The intra-class correlation coefficient (ICC) was utilized to assess the reproducibility of the three quantitative parameters in all patients. Additionally, 63 cases were examined by another physician with six months of experience to evaluate inter-operator reproducibility.Results: The intra-operator reproducibility of USAT, LTI, and HRI were 0.879 (95% CI:0.858-0.898), 0.919 (95% CI:0.904-0.933), and 0.836 (95% CI:0.809-0.862), respectively. The inter-operator reproducibility among different operators were 0.790 (95% CI:0.604-0.894), 0.782 (95% CI:0.591-0.890), and 0.631 (95% CI:0.356-0.806). After 30 operations, the inter-operator reproducibility improved to 0.858 (95% CI:0.731-0.927), 0.909 (95% CI:0.823-0.954), and 0.796 (95% CI:0.587-0.899).Conclusions: USAT, LTI, and HRI have shown good intra-operator reproducibility, and inter-operator reproducibility between the two operators reached a comparable level after 30 training cases.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"261-267"},"PeriodicalIF":2.3,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A machine learning model based on high-frequency ultrasound for differentiating benign and malignant skin tumors. 基于高频超声鉴别皮肤良恶性肿瘤的机器学习模型。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2025-04-11 DOI: 10.11152/mu-4504

Yishuo Qin, Zhirou Zhang, Xiaomeng Qu, Weijie Liu, Yumei Yan, Yanli Huang

{"title":"A machine learning model based on high-frequency ultrasound for differentiating benign and malignant skin tumors.","authors":"Yishuo Qin, Zhirou Zhang, Xiaomeng Qu, Weijie Liu, Yumei Yan, Yanli Huang","doi":"10.11152/mu-4504","DOIUrl":"10.11152/mu-4504","url":null,"abstract":"Aim: This study aims to explore the potential of machine learning as a non-invasive automated tool for skin tumor differentiation.Material and methods: Data were included from 156 lesions, collected retrospectively from September 2021 to February 2024. Univariate and multivariate analyses of traditional clinical features were performed to establish a logistic regression model. Ultrasound-based radiomics features are extracted from grayscale images after delineating regions of interest (ROIs). Independent samples t-tests, Mann-Whitney U tests, and Least Absolute Shrinkage and Selection Operator (LASSO) regression were employed to select ultrasound-based radiomics features. Subsequently, five machine learning methods were used to construct radiomics models based on the selected features. Model performance was evaluated using receiver operating characteristic (ROC) curves and the Delong test.Results: Age, poorly defined margins, and irregular shape were identified as independent risk factors for malignant skin tumors. The multilayer perception (MLP) model achieved the best performance, with area under the curve (AUC) values of 0.963 and 0.912, respectively. The results of DeLong's test revealed a statistically significant discrepancy in efficacy between the MLP and clinical models (Z=2.611, p=0.009).Conclusion: Machine learning based skin tumor models may serve as a potential non-invasive method to improve diagnostic efficiency.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"284-293"},"PeriodicalIF":2.3,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrasound of breast lesions in pregnancy and lactation. Pictorial essay. 孕期和哺乳期乳腺病变的超声检查。图示的文章。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2025-08-11 DOI: 10.11152/mu-4536

Anca Ciurea, Carolina Solomon, Cristiana Ciortea, Matei Cristea, Calin Schiau, Ioana Bene

引用次数: 0

An overlooked diagnosis: stump appendicitis. Case report. 一个被忽视的诊断：残端阑尾炎。病例报告。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2025-06-19 DOI: 10.11152/mu-4529

Semih Sağlık, Sinan Sayır

引用次数: 0

Effectiveness of ultrasound-guided ilioinguinal and iliohypogastric nerve block in pediatric inguinal hernia surgery: a systematic review and meta-analysis of randomized controlled trials. 超声引导髂腹股沟和髂胃下神经阻滞在小儿腹股沟疝手术中的有效性：随机对照试验的系统回顾和荟萃分析。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2024-11-04 DOI: 10.11152/mu-4448

Ling Zhang, Zhina Liu, Jifeng Guo, Hongquan Jin, Zhimin Zhang

{"title":"Effectiveness of ultrasound-guided ilioinguinal and iliohypogastric nerve block in pediatric inguinal hernia surgery: a systematic review and meta-analysis of randomized controlled trials.","authors":"Ling Zhang, Zhina Liu, Jifeng Guo, Hongquan Jin, Zhimin Zhang","doi":"10.11152/mu-4448","DOIUrl":"10.11152/mu-4448","url":null,"abstract":"Aim: To evaluate the efficacy of ultrasound-guided ilioinguinal and iliohypogastric nerve block (IIHB) in children undergoing surgery for inguinal hernias.Material and methods: PubMed, Embase, Cochrane Library, and Web of Science databases were searched to January 4, 2024. For continuous data, the effect sizes were presented as weighted mean differences (WMDs), and for categorical data, they were reported as relative ratios (RR), each accompanied by 95% confidence intervals (CIs).Results: IIHB demonstrated a longer duration before the need for the first analgesic compared to transverse abdominis plane (TAP), caudal epidural block (CEB), and pre-incisional wound infiltration (PWI), but a shorter duration than quadratus lumborum block (QLB). The IIHB group had a higher probability of requiring rescue analgesics compared to other blocks or PWI (RR: 1.69, 95% CI: 1.25 to 2.28, p=0.001). Higher FLACC scores were noted at 12 hours for the IIHB group (WMD:0.50, 95% CI: 0.13 to 0.86, p=0.008). IIHB required more intraoperative fentanyl compared to controls (RR: 2.14, 95% CI:1.17 to 3.92, p=0.014).Conclusion: While IIHB may have some benefits, it does not appear to be more effective overall in managing postoperative pain in pediatric inguinal hernia surgery patients compared to other blocks or PWI.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"323-330"},"PeriodicalIF":2.3,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142869812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrasound measurements and normal findings in the thyroid gland. 甲状腺的超声测量和正常结果。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2024-12-02 DOI: 10.11152/mu-4451

Saubhagya Srivastava, Manjiri Dighe, Kathleen Möller, Maria Cristina Chammas, Yi Dong, Xin-Wu Cui Cui, Christoph Frank Dietrich

引用次数: 0

Deep learning-based automated detection and diagnosis of gouty arthritis in ultrasound images of the first metatarsophalangeal joint. 基于深度学习的第一跖指关节超声图像痛风性关节炎的自动检测与诊断。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 Epub Date: 2025-03-08 DOI: 10.11152/mu-4495

Lishan Xiao, Yizhe Zhao, Yuchen Li, Mengmeng Yan, Manhua Liu, Chunping Ning

{"title":"Deep learning-based automated detection and diagnosis of gouty arthritis in ultrasound images of the first metatarsophalangeal joint.","authors":"Lishan Xiao, Yizhe Zhao, Yuchen Li, Mengmeng Yan, Manhua Liu, Chunping Ning","doi":"10.11152/mu-4495","DOIUrl":"10.11152/mu-4495","url":null,"abstract":"Aim: This study aimed to develop a deep learning (DL) model for automatic detection and diagnosis of gouty arthritis (GA) in the first metatarsophalangeal joint (MTPJ) using ultrasound (US) images.Materials and methods: A retrospective study included individuals who underwent first MTPJ ultrasonography between February and July 2023. A five-fold cross-validation method (training set = 4:1) was employed. A deep residual convolutional neural network (CNN) was trained, and Gradient-weighted Class Activation Mapping (Grad-CAM) was used for visualization. Different ResNet18 models with varying residual blocks (2, 3, 4, 6) were compared to select the optimal model for image classification. Diagnostic decisions were based on a threshold proportion of abnormal images, determined from the training set.Results: A total of 2401 US images from 260 patients (149 gout, 111 control) were analyzed. The model with 3 residual blocks performed best, achieving an AUC of 0.904 (95% CI: 0.887~0.927). Visualization results aligned with radiologist opinions in 2000 images. The diagnostic model attained an accuracy of 91.1% (95% CI: 90.4%~91.8%) on the testing set, with a diagnostic threshold of 0.328.Conclusion: The DL model demonstrated excellent performance in automatically detecting and diagnosing GA in the first MTPJ.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"268-275"},"PeriodicalIF":2.3,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Giant coronary artery-right atrial fistula with mobile vegetation. 巨大冠状动脉-右房瘘伴可移动植被。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 DOI: 10.11152/mu-4545

Jie Zhou, Hong Luo

引用次数: 0

Thrombus attached to tricuspid valve chordae tendineae associated with mycoplasma pneumonia. 与支原体肺炎相关的三尖瓣腱索附血栓。

IF 2.3

Medical ultrasonography Pub Date : 2025-09-17 DOI: 10.11152/mu-4547

Anwen Zheng, Shan Zhong, Xuejie Li

引用次数: 0

A game changer in orofacial pain: ultrasound-guided dry needling of the digastric muscle. 一个改变口面部疼痛的游戏规则：超声引导的二腹肌干针刺。