Reduced field-of-view DWI based on deep learning reconstruction improving diagnostic accuracy of VI-RADS for evaluating muscle invasion

Abstract Objectives To investigate whether reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) with deep learning reconstruction (DLR) can improve the accuracy of evaluating muscle invasion using VI-RADS. Methods Eighty-six bladder cancer participants who were evaluated by conventional ful...

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發表在:	Insights into Imaging
Main Authors:	Xinxin Zhang, Xiaojuan Xu, Yichen Wang, Jie Zhang, Mancang Hu, Jin Zhang, Lianyu Zhang, Sicong Wang, Yi Li, Xinming Zhao, Yan Chen
格式:	Article
語言:	英语
出版:	SpringerOpen 2024-06-01
主題:	Urinary bladder neoplasms MRI Deep learning reconstruction Reduced field-of-view DWI VI-RADS
在線閱讀:	https://doi.org/10.1186/s13244-024-01686-9