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Quality in MR reporting (include improvements in acquisition using AI)

  • Liang Wang*
  • , Daniel J. Margolis
  • , Min Chen
  • , Xinming Zhao
  • , Qiubai Li
  • , Zhenghan Yang
  • , Jie Tian
  • , Zhenchang Wang
  • *此作品的通讯作者

科研成果: 期刊稿件文献综述同行评审

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, guidelinebased 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.

源语言英语
文章编号20210816
期刊British Journal of Radiology
95
1131
DOI
出版状态已出版 - 2022

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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