医学
磁共振成像
核医学
队列
超声波
分级(工程)
脂肪变性
放射科
医学物理学
内科学
工程类
土木工程
作者
Kento Imajo,Hidenori Toyoda,Satoshi Yasuda,Yasuaki Suzuki,Katsutoshi Sugimoto,Hidekatsu Kuroda,Tomoyuki Akita,Junko Tanaka,Yutaka Yasui,Nobuharu Tamaki,Masayuki Kurosaki,Namiki Izumi,Atsushi Nakajima,Takashi Kumada
标识
DOI:10.1016/j.cgh.2021.11.003
摘要
UGAP has excellent diagnostic accuracy for grading steatosis with reference to MRI-PDFF. Additionally, UGAP has good linearity and negligible bias, suggesting that UGAP has excellent technical performance characteristics that can be widely used in clinical trials and patient care. (UMIN Clinical Trials Registry, Number: UMIN000041196).
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