Ultrashort VIBE-Dixon versus Cine and late gadolinium enhancement MRI sequences for cardiac thrombus detection [0.03%]
超短VIBE-Dixon与Cine及晚钆增强MRI序列在心脏血栓检测中的对比
Martin Soschynski,Fabio Capilli,Muhammad Taha Hagar et al.
Martin Soschynski et al.
Purpose: To determine the diagnostic accuracy of volumetric interpolated breath-hold examination sequences with fat suppression in Dixon technique (VIBE-Dixon) for cardiac thrombus detection. ...
MRI characterization of pelvic floor ligaments in nulliparous women: Technique development and morphometry within the 3D pelvic inclination correction system (3D-PICS) [0.03%]
无子女妇女盆底韧带的磁共振成像特征：在3D盆腔倾斜校正系统(3D-PICS)中的技术开发和形态测定
Lea Matter,Monika Hebeisen,Stephan Beintner-Skawran et al.
Lea Matter et al.
Purpose: The aim of the MRI-study was to evaluate the visibility of the pelvic floor ligaments and to analyze the ligament morphometry in 3D space. Method...
The T1-dark-rim: A novel imaging sign for detecting smoldering inflammation in multiple sclerosis [0.03%]
T1暗缘：检测多发性硬化症中潜行炎症的一种新影像标志
Pablo Naval-Baudin,Albert Pons-Escoda,Albert Castillo-Pinar et al.
Pablo Naval-Baudin et al.
Purpose: Paramagnetic rim lesions (PRLs), usually identified in susceptibility-weighted imaging (SWI), are a promising prognostic biomarker of disability progression in multiple sclerosis (MS). However, SWI is not routine...
Observational Study
European journal of radiology. 2024 Apr:173:111358. DOI:10.1016/j.ejrad.2024.111358 2024
Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning [0.03%]
在放射学中的人工智能研究进展：系统回顾及基于眼动追踪的深度学习可解释性分类法
José Neves,Chihcheng Hsieh,Isabel Blanco Nobre et al.
José Neves et al.
X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the global population lacks access to this essential technology due to a shortage of trained radiologists. Eye-tracking data and deep learning models c...
Dual-layer spectral detector CT: A noninvasive preoperative tool for predicting histopathological differentiation in pancreatic ductal adenocarcinoma [0.03%]
双层光谱探测器CT：预测胰腺导管腺癌组织病理分化的非侵入性术前工具
Wei Liu,Tiansong Xie,Lei Chen et al.
Wei Liu et al.
Purpose: To predict histopathological differentiation grades in patients with pancreatic ductal adenocarcinoma (PDAC) before surgery with quantitative and qualitative variables obtained from dual-layer spectral detector C...
Initial experience with a next-generation low-field MRI scanner: Potential for breast imaging? [0.03%]
下一代低场MRI扫描仪的初始体验：乳腺成像的潜力？
Matthias Dietzel,Frederik B Laun,Rafael Heiß et al.
Matthias Dietzel et al.
Purpose: Broader clinical adoption of breast magnetic resonance imaging (MRI) faces challenges such as limited availability and high procedural costs. Low-field technology has shown promise in addressing these challenges....
Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model [0.03%]
基于深度学习模型的肝细胞癌微血管侵犯及病理分化预测研究
Xiaojuan He,Yang Xu,Chaoyang Zhou et al.
Xiaojuan He et al.
Purpose: To develop a deep learning (DL) model based on preoperative contrast-enhanced computed tomography (CECT) images to predict microvascular invasion (MVI) and pathological differentiation of hepatocellular carcinoma...
Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis [0.03%]
利用基于MRI的深度学习放射组学来诊断与中轴型脊柱关节炎相关的骶髂关节炎
Ke Zhang,Chaoran Liu,Jielin Pan et al.
Ke Zhang et al.
Objectives: This study aimed to evaluate the performance of a deep learning radiomics (DLR) model, which integrates multimodal MRI features and clinical information, in diagnosing sacroiliitis related to axial spondyloart...
Hongchi Chen,Qiuxia Li,Lazhen Zhou et al.
Hongchi Chen et al.
The computed tomography (CT) technique is extensively employed as an imaging modality in clinical settings. The radiation dose of CT, however, is significantly high, thereby raising concerns regarding the potential radiation damage it may c...
Detection of moderate hepatic steatosis on contrast-enhanced dual-source dual-energy CT: Role and accuracy of virtual non-contrast CT [0.03%]
对比增强双源双能量CT上中度肝脂肪变性的检测：虚拟非对比CT的作用和准确性
Roberta Catania,Leo Jia,Maryam Haghshomar et al.
Roberta Catania et al.
Purpose: To investigate diagnostic accuracy of virtual non contrast (VNC) images, based on dual-source dual-energy CT (dsDECT), for detection of at least moderate steatosis and to define a threshold value to make this dia...