Hyperintense lesions suspect for acute cerebral microbleeds on ultra-high field T1 weighted 7 Tesla MRI in patients with cerebral amyloid angiopathy [0.03%]
可疑急性脑微出血的超高场磁共振T1加权7特斯拉成像在淀粉样血管病患者中的应用
O F de Bruin,M R Schipper,E A Koemans et al.
O F de Bruin et al.
Objective: The aims of this study are to describe T1 hyperintense lesions on 7 T MRI in patients with hereditary Dutch-type (D-CAA) and sporadic cerebral amyloid angiopathy (sCAA) and their detection rate on 7 T and 3 T M...
Human‒machine interaction based on real-time explainable deep learning for higher accurate grading of carotid stenosis from transverse B-mode scan videos [0.03%]
基于实时可解释的深度学习的人机交互技术提高颈动脉狭窄B模式横向扫描视频分级准确度
Jia Liu,Xinrui Zhou,Hui Lin et al.
Jia Liu et al.
Objectives: We aim to develop an explainable deep learning (DL) model to assist radiologists in carotid stenosis classification by providing understandable or explainable output. ...
Corrigendum to "Quantification of tumor heterogeneity based on fractal dimension for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer". [Eur. J. Radiol. 192 (2025) 112413] [0.03%]
“基于分形维数的肿瘤异质性量化在三阴性乳腺癌新辅助化疗反应预测中的应用”的勘误通知[Eur. J. Radiol. 192 (2025) 112413]
Jiamin Guo,Ying Liu,Wei Ren et al.
Jiamin Guo et al.
Published Erratum
European journal of radiology. 2025 Sep 24:193:112427. DOI:10.1016/j.ejrad.2025.112427 2025
Detection of adrenal gland lesions on CT: Development and external validation of a deep-learning-based model [0.03%]
基于深度学习的模型在CT图像上检测肾上腺病变：开发和外部验证
Christian H Krag,Weronika Olech,Michael B Andersen et al.
Christian H Krag et al.
Objectives: We wanted to develop an AI model for the detection of adrenal lesions on CT scans and validate the model on internal and external datasets. Ma...
Development and validation of multiparametric models incorporating 18F-FDG PET/CT dissemination characteristic for predicting outcomes of small cell lung cancer [0.03%]
基于18F-FDG PET/CT扩散特征的预测小细胞肺癌预后的多参数模型的建立及验证
Yang Liu,Xin Zhou,Xiangxi Meng et al.
Yang Liu et al.
Objective: To evaluate the prognostic value of the tumor dissemination characteristic, metabolic parameters from baseline 18F-FDG PET/CT, clinical indicators, and pathological indicators in small cell lung cancer (SCLC), ...
AI radiomics predicts spatial glioma recurrence on preoperative MRI: a systematic review [0.03%]
基于术前MRI的胶质瘤复发空间定位的人工智能影像组学系统综述
Sebastiaan Bijlsma,Thomas Maal,Christian Rubbert et al.
Sebastiaan Bijlsma et al.
Background: Adult-type diffuse gliomas are highly infiltrative primary brain tumors in which, after a combination of surgery and chemoradiation therapy, tumor recurrence is inevitable. Artificial Intelligence (AI) models ...
Physical examination before diagnostic ultrasonography: Alive and kicking or a relic of the past? [0.03%]
诊断超声检查前的体格检查：仍然重要还是过去的遗迹？
Andreea M Pavel,Yuki Arita,Ömer Kasalak et al.
Andreea M Pavel et al.
Purpose: To investigate how often physicians perform physical examination prior to referring patients for diagnostic ultrasonography (US), and whether its omission affects clinical reasoning quality or diagnostic yield. ...
Periportal halo on early postoperative CT predicts biliary complications following liver transplantation [0.03%]
早期肝移植术后CT扫描periportal征象预示着胆道并发症的风险
Hadrien Lasolle,François Faitot,Sébastien Molière
Hadrien Lasolle
Background: Biliary complications remain the leading non-vascular cause of morbidity, re-intervention and graft loss after liver transplantation (LT). Previous series have suggested that a "periportal halo" (PPH) on early...
Surgically resected cystic lesions in the sellar-suprasellar region: Value of qualitative, semiquantitative, and quantitative imaging variables in the diagnostic work-up [0.03%]
鞍区和鞍上囊性病变的外科手术切除：定性、半定量及定量影像学参数在诊断工作中的价值分析
R Calandrelli,A Grimaldi,S Chiloiro et al.
R Calandrelli et al.
Objectives: To identify reliable imaging variables for differentiating cystic lesions by integrating qualitative, semiquantitative, and quantitative features. ...