前列腺
医学
前列腺癌
指南
医学物理学
放射科
一致性(知识库)
磁共振成像
计算机科学
癌症
人工智能
病理
内科学
作者
Wang Liang,Daniel Margolis,Min Chen,Xinming Zhao,Qiubai Li,Zhenghan Yang,Jie Tian,Zhenchang Wang
出处
期刊:British Journal of Radiology
[British Institute of Radiology]
日期:2022-03-01
卷期号:95 (1131)
被引量:2
摘要
The high quality of MRI reporting of the prostate is the most critical component of the service provided by a radiologist. Prostate MRI structured reporting with PI-RADS v. 2.1 has been proven to improve consistency, quality, guideline-based care in the management of prostate cancer. There is room for improved accuracy of prostate mpMRI reporting, particularly as PI-RADS core criteria are subjective for radiologists. The application of artificial intelligence may support radiologists in interpreting MRI scans. This review addresses the quality of prostate multiparametric MRI (mpMRI) structured reporting (include improvements in acquisition using artificial intelligence) in terms of size of prostate gland, imaging quality, lesion location, lesion size, TNM staging, sector map, and discusses the future prospects of quality in MR reporting.
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