| Literature DB >> 35119914 |
Liang Wang1, Daniel J Margolis2, Min Chen3, Xinming Zhao4, Qiubai Li5, Zhenghan Yang1, Jie Tian6,7, Zhenchang Wang1.
Abstract
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.Entities:
Mesh:
Year: 2022 PMID: 35119914 PMCID: PMC8978223 DOI: 10.1259/bjr.20210816
Source DB: PubMed Journal: Br J Radiol ISSN: 0007-1285 Impact factor: 3.039