BMC Medical Imaging最新文献_第10页

Diagnostic performance of mDIXON-Quant imaging in assessing glomerulosclerosis severity for chronic kidney disease: a comparative study of R2* and fat fraction parameters. mdixon定量成像在评估慢性肾脏疾病肾小球硬化严重程度中的诊断价值：R2*和脂肪分数参数的比较研究

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-26 DOI: 10.1186/s12880-026-02259-6

Wenhui Wang, Renna Luo, Ye Ju, Qingchen Hu, Qianyu Zhang, Hanyue Zhang, Nan Wang, Qingwei Song, Liangjie Lin, Jiazheng Wang, Ailian Liu

引用次数: 0

Comparison of ultrasound-guided biopsy techniques for level IV lymph nodes: semiautomatic vs. Menghini modified needles in a retrospective dual-center study. 在一项回顾性双中心研究中，超声引导IV级淋巴结活检技术的比较：半自动与Menghini改良针。

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-25 DOI: 10.1186/s12880-026-02291-6

Gang Liu, Yixin Zhu, Guoru Wu, Guangyin Yu, Hao Luo, Lu Pang, Qiongxian Long, Lin Zhu, Yu Shi

{"title":"Comparison of ultrasound-guided biopsy techniques for level IV lymph nodes: semiautomatic vs. Menghini modified needles in a retrospective dual-center study.","authors":"Gang Liu, Yixin Zhu, Guoru Wu, Guangyin Yu, Hao Luo, Lu Pang, Qiongxian Long, Lin Zhu, Yu Shi","doi":"10.1186/s12880-026-02291-6","DOIUrl":"10.1186/s12880-026-02291-6","url":null,"abstract":"Background: Biopsy of cervical level IV lymph nodes is clinically important but technically challenging because the available needle corridor is often short and adjacent to major cervical vessels. Although core needle biopsy is generally preferred when preserved tissue architecture and ancillary studies are required, ultrasound-guided semiautomatic side-cut needles (US-SABN) and ultrasound-guided modified Menghini needles (US-MMT) have not been directly compared in this anatomically constrained setting.Methods: We retrospectively analyzed 290 consecutive patients who underwent ultrasound-guided biopsy of cervical level IV lymph nodes between January 2019 and August 2024 at two tertiary centers. The primary endpoint was sample adequacy. Secondary endpoints included specimen length, use of immunohistochemistry, and procedure-related complications graded according to the CIRSE classification. Categorical variables were compared using Pearson's chi-square test or Fisher's exact test, as appropriate, and continuous variables were compared using the Mann-Whitney U test.Results: Sample adequacy was similar between US-MMT and US-SABN (94.9% [167/176] vs. 93.0% [106/114]; P = 0.676). Use of immunohistochemistry was also similar (52.3% [92/176] vs. 55.3% [63/114]; P = 0.705). US-MMT yielded longer tissue cores than US-SABN (median, 15.0 mm [IQR, 10.0-20.0] vs. 10.0 mm [IQR, 7.0-15.0]; P < 0.001). Complication rates were low in both groups (1.1% [2/176] vs. 1.8% [2/114]; P = 0.647), and all complications were minor, self-limited hematomas (CIRSE grade 1). In exploratory within-device analyses, specimen length varied by operator experience.Conclusions: US-MMT and US-SABN achieved comparable sample adequacy and low complication rates for biopsy of cervical level IV lymph nodes. Although US-MMT yielded longer tissue cores, this did not translate into differences in sample adequacy, use of immunohistochemistry, or complication rates. Findings from subgroup analyses stratified by operator experience are hypothesis-generating and require prospective validation.","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13137679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147509377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative evaluation of a deep learning method QNet and LCModel for MRS quantification on the cloud computing platform CloudBrain-MRS. 深度学习方法QNet和LCModel在云计算平台CloudBrain-MRS上MRS量化的比较评价

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-24 DOI: 10.1186/s12880-026-02292-5

Meijin Lin, Lin Guo, Dicheng Chen, Jianshu Chen, Zhangren Tu, Xu Huang, Jianhua Wang, Ji Qi, Yuan Long, Zhiguo Huang, Di Guo, Xiaobo Qu, Haiwei Han

引用次数: 0

A nomogram for predicting the disease-free survival of patients with pancreatic ductal adenocarcinoma. 预测胰导管腺癌患者无病生存期的nomogram。

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-24 DOI: 10.1186/s12880-026-02301-7

Yao Pan, Xiao-Jie Wang, Jia-Ping Zhou, Jie-Ni Yu, Ri-Sheng Yu

引用次数: 0

Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT. 基于膝关节CT的深度学习和放射组学对前交叉韧带撕裂的分割和诊断。

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-24 DOI: 10.1186/s12880-026-02297-0

Xiaoli Yu, Qingning Yang, Xingyan Le, Qingbiao Zhang, Yuyin Wang, Junbang Feng, Chuanming Li

{"title":"Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT.","authors":"Xiaoli Yu, Qingning Yang, Xingyan Le, Qingbiao Zhang, Yuyin Wang, Junbang Feng, Chuanming Li","doi":"10.1186/s12880-026-02297-0","DOIUrl":"10.1186/s12880-026-02297-0","url":null,"abstract":"Purpose: Timely and accurate diagnosis of anterior cruciate ligament (ACL) tears has important clinical significance. In this study we tried to establish a segmentation and diagnosis model for ACL tear using deep learning and radiomics based on knee CT.Materials and methods: Totally 469 patients were collected for ACL segmentation model construction. Among them, 328 patients underwent MRI examination within one week of CT scanning and were used to construct diagnosis model. The segmentation model was trained using deep learning of 3D nnU-Net. After segmentation, a total of 2,264 quantitative radiomics features were extracted from each ACL. The support vector machine (SVM), random forest (RF) and stochastic gradient descent (SGD) were used to construct classification model.Results: The 3D nnU-Net segmentation model we constructed achieved high performance in the ACL segmentation with Dice Similarity Coefficient (DSC) of 0.79 in the external validation. In terms of ACL tear diagnosis, the SVM, RF, and SGD models all demonstrated excellent performance. In the external validation, the Area Under the Curve (AUC) were 0.85, 0.86, and 0.81.Conclusions: We developed a CT based artificial intelligence system that could perform ACL segmentation and tears diagnosis. It had high accuracy and convenience, and was of great significance in clinical practice.","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13137693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147509471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of the effect of obesity on trabecular and cortical bone structure in the peri-implant region using fractal analysis and radiomorphometric indices. 应用分形分析和放射形态学指标研究肥胖对种植体周围骨小梁和骨皮质结构的影响。

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-24 DOI: 10.1186/s12880-026-02296-1

Melek Beder, Meltem Zihni Korkmaz, Muhammed Enes Naralan, Mine Keskin

引用次数: 0

A dual-consistency semi-supervised learning method for histopathology image segmentation. 一种用于组织病理学图像分割的双一致性半监督学习方法。

IF 3.2 3区医学

BMC Medical Imaging Pub Date : 2026-03-24 DOI: 10.1186/s12880-026-02281-8

Mingjian Xie, Weifeng Zhang, Yiqun Geng, Yuting Duan, Dekai Wang, Hongzhong Tang, Liangli Hong

引用次数: 0

Preoperative assessment of split renal function in patients with renal cell carcinoma by APTw driven multiparameter MRI. APTw驱动的多参数MRI对肾癌患者肾功能分裂的术前评价。