Could the underlying biological basis of prognostic radiomics and deep learning signatures be explored in patients with lung cancer? A systematic review [0.03%]
肺癌患者预后放射组学和深度学习特征的潜在生物学基础能否被探索？系统综述
Lujie Qian,Ting Wu,Shuaihang Kong et al.
Lujie Qian et al.
Objectives: To summarize the underlying biological correlation of prognostic radiomics and deep learning signatures in patients with lung cancer and evaluate the quality of available studies. ...
Diagnostic yield of contrast-enhanced abdominal staging CT in patients with initially diagnosed breast cancer [0.03%]
最初诊断为乳腺癌患者的对比增强腹部分期CT的诊断结果分析
Boryeong Jeong,Young-Won Lee,Sae Byul Lee et al.
Boryeong Jeong et al.
Purpose: To estimate the diagnostic yield (DY) of abdominal staging CT for detecting breast cancer liver metastasis (BCLM) in patients with initially diagnosed breast cancer and to determine the indications for abdominal ...
A deep learning-based algorithm improves radiology residents' diagnoses of acute pulmonary embolism on CT pulmonary angiograms [0.03%]
基于深度学习的算法可提高放射学住院医师对CT肺动脉造影中急性肺栓塞的诊断效果
Alexandre Vallée,Raphaelle Quint,Anne Laure Brun et al.
Alexandre Vallée et al.
Purpose: To compare radiology residents' diagnostic performances to detect pulmonary emboli (PEs) on CT pulmonary angiographies (CTPAs) with deep-learning (DL)-based algorithm support and without. ...
Correlation of body composition metrics with bone mineral density and computed tomography-based trabecular attenuation [0.03%]
体质测量与骨密度及基于CT的微结构衰减的相关性研究
Tae Ran Ahn,Young Cheol Yoon,Hyun Su Kim et al.
Tae Ran Ahn et al.
Purpose: To investigate the relationship of body composition metrics with bone mineral density (BMD) and trabecular attenuation in a cohort of healthy individuals. ...
Diffusion weighted imaging with reverse encoding distortion correction: Improvement of image quality and distortion for accurate ADC evaluation in in vitro and in vivo studies [0.03%]
具有反向编码失真校正的扩散加权成像：体内外研究中改善图像质量和失真的准确ADC评估
Minami Furuta,Hirotaka Ikeda,Satomu Hanamatsu et al.
Minami Furuta et al.
Purpose: The purpose of this in vivo study was to determine the effect of reverse encoding direction (RDC) on apparent diffusion coefficient (ADC) measurements and its efficacy for improving image quality and diagnostic p...
Diagnostic CT of colorectal cancer with artificial intelligence iterative reconstruction: A clinical evaluation [0.03%]
人工智能迭代重建的结肠直肠癌诊断CT：临床评估
Jiao Li,Junying Zhu,Yixuan Zou et al.
Jiao Li et al.
Objectives: To investigate the clinical value of a novel deep-learning based CT reconstruction algorithm, artificial intelligence iterative reconstruction (AIIR), in diagnostic imaging of colorectal cancer (CRC). ...
Transjugular intrahepatic portosystemic shunt for portal hypertension with chronic portal vein occlusion [0.03%]
经颈静脉肝内门体分流术治疗慢性门静脉闭塞合并门脉高压
Junyang Luo,Mingan Li,Jialin Wu et al.
Junyang Luo et al.
Purpose: This study aims to evaluate the long-term patency of transjugular intrahepatic portosystemic shunt (TIPS) and determine the predictors of shunt dysfunction in patients with chronic portal vein occlusion (CPVO). ...
T J A van Nijnatten,S Morscheid,P A T Baltzer et al.
T J A van Nijnatten et al.
Background: Contrast-enhanced breast MRI and recently also contrast-enhanced mammography (CEM) are available for breast imaging. The aim of the current overview is to explore existing evidence and ongoing challenges of co...
Discrimination of leptomeningeal carcinomatosis and meningeal inflammation/infection with internal acoustic canal enhancement [0.03%]
内听道强化鉴别脑膜炎性/感染和轻度脑膜癌病
Elif Peker,Zehra Akkaya,Sena Ünal et al.
Elif Peker et al.
Purpose: The purpose of this study is to investigate whether the presence and pattern of enhancement at the internal acoustic canal (IAC) could help in discriminating between leptomeningeal carcinomatosis (LCa) and mening...
Generative adversarial networks for spine imaging: A critical review of current applications [0.03%]
生成对抗网络在脊柱影像中的应用：对当前应用的批判性评论
Konstantinos Vrettos,Emmanouil Koltsakis,Aristeidis H Zibis et al.
Konstantinos Vrettos et al.
Purpose: In recent years, the field of medical imaging has witnessed remarkable advancements, with innovative technologies which revolutionized the visualization and analysis of the human spine. Among the groundbreaking d...