Advances in radiomics for early diagnosis and precision treatment of lung cancer.
10.7507/1001-5515.202405059
- Author:
Jiayi LI
1
;
Wenxin LUO
1
;
Zhoufeng WANG
2
;
Weimin LI
1
Author Information
1. Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
2. Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
- Publication Type:English Abstract
- Keywords:
Artificial intelligence;
Lung cancer;
Personalized treatment;
Radiomics
- MeSH:
Humans;
Lung Neoplasms/diagnosis*;
Artificial Intelligence;
Early Detection of Cancer/methods*;
Precision Medicine;
Image Processing, Computer-Assisted/methods*;
Tomography, X-Ray Computed;
Radiomics
- From:
Journal of Biomedical Engineering
2025;42(5):1062-1068
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer is a leading cause of cancer-related deaths worldwide, with its high mortality rate primarily attributed to delayed diagnosis. Radiomics, by extracting abundant quantitative features from medical images, offers novel possibilities for early diagnosis and precise treatment of lung cancer. This article reviewed the latest advancements in radiomics for lung cancer management, particularly its integration with artificial intelligence (AI) to optimize diagnostic processes and personalize treatment strategies. Despite existing challenges, such as non-standardized image acquisition parameters and limitations in model reproducibility, the incorporation of AI significantly enhanced the precision and efficiency of image analysis, thereby improving the prediction of disease progression and the formulation of treatment plans. We emphasized the critical importance of standardizing image acquisition parameters and discussed the role of AI in advancing the clinical application of radiomics, alongside future research directions.
