Primary angiitis of the central nervous system: predictors of stroke during immunosuppressant treatment [0.03%]
中枢神经系统原发性血管炎的免疫抑制治疗期间发生卒中的预测因素
Franca Wagner,Jakob Heimer,Pasquale Mordasini et al.
Franca Wagner et al.
Objective: To evaluate predictors of ischemic stroke in patients with primary angiitis of the central nervous system after initiation of immunosuppressive therapy. ...
Exploring the role of quantitative susceptibility mapping in assessing brain iron deposition in hemodialysis patients [0.03%]
量化磁敏感性映射在血液透析患者脑铁沉积评估中的作用探讨
GuoLi Ren,QingQing Nie,Daliang Liu et al.
GuoLi Ren et al.
Patients with end-stage renal disease (ESRD) develop brain iron deposition due to iron metabolism disorders induced by long-term hemodialysis. This abnormal iron accumulation accelerates cognitive impairment (CI) and neurodegenerative patho...
ESUR female pelvis group approach to cystic female pelvic lesions [0.03%]
ESUR女性盆腔病变工作组对囊性女性盆腔病变的处理原则
Olivera Nikolić,Lucia Manganaro,Milagros Otero Garcia et al.
Olivera Nikolić et al.
Cystic female pelvic lesions, whether of ovarian or non-ovarian origin, are prevalent in routine clinical practice, with the majority originating from gynaecological (ovarian) structures, ranging from functional cysts to malignant ovarian t...
CT-based subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma: an exploratory study of biological mechanisms [0.03%]
基于CT的亚区域和肿瘤周围影像组学预测透明细胞肾细胞癌病理T分期的探索性研究：生物学机制探究
Jun-Lin Huang,Qiao Liu,Cheng-Long Wang et al.
Jun-Lin Huang et al.
Objectives: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccRCC), and investigate the biological mechanisms of radiomics. ...
Critical dialogue: how imaging evaluates and guides pelvic exenteration surgery-a multidisciplinary perspective [0.03%]
批判性对话：影像学如何评估和指导盆腔腹膜外手术——多学科视角
Stephanie Nougaret,Verity Wood,Tamara Glyn et al.
Stephanie Nougaret et al.
Preoperative contrast-enhanced CT prediction of distinct vascular patterns in solitary early-stage hepatocellular carcinoma and its prognostic value [0.03%]
单一早期肝细胞癌术前强化CT血管走行模式的预测及预后价值评估
Wanli Zhang,Wen Lv,Yi Long et al.
Wanli Zhang et al.
Objectives: To investigate the value of qualitative and quantitative contrast-enhanced CT (CECT) features for noninvasive identification of two distinct vascular patterns, vessels that encapsulate tumor clusters (VETC) an...
The journey from congress to journal: publication patterns of ECR 2019 oral presentations [0.03%]
从大会到期刊：ECR 2019口头报告的发表模式
Ali Salbas,Raşit Eren Büyüktoka,Murat Yogurtcu et al.
Ali Salbas et al.
Objectives: To evaluate the publication outcomes of oral presentations delivered at the European Congress of Radiology (ECR) 2019 and examine factors influencing conversion to full-text articles; findings were also compar...
AI-based image quality assessment of positioning in mammography: considerations and challenges [0.03%]
基于人工智能的乳腺X线摄影定位图像质量评价：考量与挑战
Tina Santner,Mickael Tardy,Johanne-Gro Stalheim et al.
Tina Santner et al.
Objectives: Artificial intelligence (AI) could facilitate and objectify quality assessment in the daily routine. The purpose was to explore the extent to which an AI prototype algorithm is able to replicate the perfect-go...
Intra-pancreatic fat deposition links to widespread systemic health risks: UK Biobank prospective cohort study [0.03%]
胰腺内脂肪沉积与广泛系统性健康风险有关：英国生物银行前瞻性队列研究结果
Yanna Cai,Nan Zhao,Jiarui Mi et al.
Yanna Cai et al.
Introduction: Intra-pancreatic fat deposition (IPFD) is associated with pancreatic diseases, but its systemic implications remain unclear. Materials and m...
Transforming a clinical study database into a structured database adapted to artificial intelligence applications [0.03%]
将临床研究数据库转换为适应人工智能应用的结构化数据库
Thibault Sauron,Carole Lazarus,Camille Kurtz et al.
Thibault Sauron et al.
Objective: Medical imaging databases suitable for training machine learning/computer vision algorithms are scarce, limiting the potential for development and generalisation of clinical tools. Clinical trial databases are ...