Artificial intelligence in pathological diagnosis and molecular typing of prostate cancer:research progress
10.16781/j.CN31-2187/R.20220638
- VernacularTitle:人工智能在前列腺癌病理诊断及分子分型中的研究进展
- Author:
Linlong FAN
1
;
Zijian SONG
;
Longxin DENG
;
Yusi XU
;
Rui CHEN
Author Information
1. 海军军医大学(第二军医大学)第一附属医院泌尿外科,上海 200433
- Keywords:
prostatic neoplasms;
artificial intelligence;
pathologic diagnosis;
Gleason score;
molecular subtyping
- From:
Academic Journal of Naval Medical University
2024;45(9):1141-1146
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence (AI) has important significance and great promise in the pathological diagnosis,imaging diagnosis,prognosis prediction,and molecular subtyping of prostate cancer (PCa). This review focuses on the progress of AI for the diagnosis and molecular classification of PCa,and briefly introduces the application of AI in the pathological diagnosis of needle biopsy and Gleason grading,pathological diagnosis and grading after prostatectomy,and prognosis prediction of PCa patients based on pathological sections. For the pathological diagnosis of needle biopsy and Gleason grading,AI has already comparable to general pathologists;for the pathological diagnosis and grading after prostatectomy,AI can accurately grade and classify tumors;and for the prognosis prediction of PCa patients,AI can directly extract relevant prognostic information from pathological tissue sections for prognosis prediction. In addition,AI can also predict gene mutations in PCa patients and suggest the probability of gene mutation by analyzing the pathological sections.
