Advances in artificial intelligence-assisted MRI radiomics in the diagnosis and treatment of prostate cancer
10.13263/j.cnki.nja.2024.01.009
- VernacularTitle:人工智能辅助的MRI影像组学在前列腺癌诊疗中的进展
- Author:
Zi-Chun LIANG
1
;
Chao SUN
;
Ming CHEN
Author Information
1. 东南大学附属中大医院泌尿外科,江苏南京 210096
- Keywords:
prostate cancer;
magnetic resonance imaging;
radiomics;
artificial intelligence
- From:
National Journal of Andrology
2024;30(1):60-65
- CountryChina
- Language:Chinese
-
Abstract:
Prostate cancer(PCa)is the second most common cancer worldwide and the fifth leading cause of cancer deaths in men.Magnetic resonance imaging(MRI),with its high sensitivity and specificity in detecting PCa,is currently the most widely used imaging technique for tumor localization and staging.MRI plays a significant role in risk stratification of patients with neoplasm,sur-veillance of low-risk patients,and monitoring of recurrence after treatment.Radiomics is an emerging and promising tool that allows quantitative assessment of tumors in images by converting digital images into mineable high-dimensional data.Imaging histology aims to increase the number of features that can be used to detect PCa,avoid unnecessary biopsies,determine tumor aggressiveness and moni-tor recurrence after treatment.Artificial intelligence integration of imaging histology data,including those of different imaging modalities(e.g.,PET-CT)as well as other clinical and histopathological data,can improve the prediction of tumor aggressiveness and guide clinical decision-making and patient management.The aim of this review is to present current research applications of AI-assisted ra-diomics in PCa MRI images.
