Qiong Li, Wei-Yue Xu, Na-Na Sun, Qiu-Xia Feng, Ya-Jun Hou, Zi-Tong Sang, Zhen-Ning Zhu, Yi-Cheng Hsu, Dominik Nickel, Hao Xu, Yu-Dong Zhang, Xi-Sheng Liu
PURPOSE: The purpose of our study is to investigate image quality, efficiency, and diagnostic performance of a deep learning-accelerated single-shot breath-hold (DLSB) against BLADE for T2 -weighted MR imaging (T2 WI) for gastric cancer (GC). METHODS: 112 patients with GCs undergoing gastric MRI were prospectively enrolled between Aug 2022 and Dec 2022. Axial DLSB-T2 WI and BLADE-T2 WI of stomach were scanned with same spatial resolution. Three radiologists independently evaluated the image qualities using a 5-scale Likert scales (IQS) in terms of lesion delineation, gastric wall boundary conspicuity, and overall image quality...
April 25, 2024: Abdominal Radiology