编辑评论:在LI-RADS治疗反应算法中使用辅助特征提高了准确性并降低了LR-TR模棱两可类别的频率。

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
American Journal of Roentgenology Pub Date : 2025-02-01 Epub Date: 2024-12-04 DOI:10.2214/AJR.24.32415
Victoria Chernyak
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Editorial Comment: Use of Ancillary Features in LI-RADS Treatment Response Algorithm Improves Accuracy and Decreases the Frequency of LR-TR Equivocal Category.
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来源期刊
CiteScore
12.80
自引率
4.00%
发文量
920
审稿时长
3 months
期刊介绍: Founded in 1907, the monthly American Journal of Roentgenology (AJR) is the world’s longest continuously published general radiology journal. AJR is recognized as among the specialty’s leading peer-reviewed journals and has a worldwide circulation of close to 25,000. The journal publishes clinically-oriented articles across all radiology subspecialties, seeking relevance to radiologists’ daily practice. The journal publishes hundreds of articles annually with a diverse range of formats, including original research, reviews, clinical perspectives, editorials, and other short reports. The journal engages its audience through a spectrum of social media and digital communication activities.
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