Applications and challenges of pathomics technique in the management of hepatocellular carcinoma
10.3760/cma.j.cn112139-20240103-00003
- VernacularTitle:病理组学技术在肝癌诊疗和预后评估中的应用和挑战
- Author:
Zixiang CHEN
1
;
Jiangming CHEN
;
Xiaoping GENG
;
Fubao LIU
Author Information
1. 安徽医科大学第一附属医院肝胆胰外科，合肥 230001
- Keywords:
Liver neoplasms;
Artificial intelligence;
Pathomics;
Diagnosis
- From:
Chinese Journal of Surgery
2024;62(7):665-670
- CountryChina
- Language:Chinese
-
Abstract:
The incidence and mortality rate of hepatocellular carcinoma rank among the top of all cancer types,seriously threatening the life and health of human beings. In recent years,the rapid development of artificial intelligence and the deepening of the concept of precision medicine have led to a boom in interdisciplinary research. Pathomics,as an emerging omics technology driven by artificial intelligence,can mine massive information from high-resolution whole slide images,and shows broad application prospects in the diagnosis,treatment and prognosis assessment of hepatocellular carcinoma. However, pathomics research in hepatocellular carcinoma is still in its infancy, and its research patterns and clinical applications still face several controversies and challenges, including data security, ethics, and “black box” issues. Future research should focus on conducting prospective studies, integrating multimodal data, improving computational technologies, and establishing professional standards to promote the high-quality development of pathomics technology in both clinical and basic research of hepatocellular carcinoma.
