5 Papers
Bing Shi is an academic researcher from Peking Union Medical College Hospital. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 4, co-authored 4 publications.
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Papers
Comparison of biparametric and multiparametric MRI in the diagnosis of prostate cancer
Lili Xu,Gumuyang Zhang,Bing Shi,Yanhan Liu,Tingting Zou,Weigang Yan,Yu Xiao,Huadan Xue,Feng Feng,Jing Lei,Zhengyu Jin,Hao Sun +11 more
TL;DR: The diagnostic accuracy of bpMRI is comparable with that of mpMRI in the detection of PCa and the identification of csPCa, and the application value of dynamic contrast-enhanced (DCE) MRI in prostate imaging is explored.
Differentiating pheochromocytoma from lipid-poor adrenocortical adenoma by CT texture analysis: feasibility study.
TL;DR: It was feasible to use CTTA to differentiate pheochromocytoma from lp-ACA, and the area under the ROC curve (AUC) was calculated for texture parameters that were significantly different for the objective.
26
High-pitch low-dose abdominopelvic CT with tin-filtration technique for detecting urinary stones
Gumuyang Zhang,Bing Shi,Hao Sun,Huadan Xue,Yun Wang,Jixiang Liang,Kai Xu,Ming Wang,Man Wang,Min Xu,Zhengyu Jin +10 more
TL;DR: High-pitch abdominopelvic CT with Sn150kV substantially reduced radiation exposure and scanning time, while maintained stone detection and image quality and prevented breathing-motion artifacts.
26
The Value of Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging Combined With Texture Analysis of Evaluating the Extramural Vascular Invasion in Rectal Adenocarcinoma
TL;DR: 3.0T MRI IVIM-DWI parameters combined with texture analysis can provide valuable information for EMVI evaluation of rectal adenocarcinoma before the operation.
4
Quantitative CT texture analysis for evaluating histologic grade of urothelial carcinoma.
TL;DR: CTTA proved to be a feasible tool for differentiating LGUC from HGUC and quantified from fine texture scale on unenhanced images was the optimal diagnostic parameter for estimating histologic grade of urothelial carcinoma.