LI Jiayi 1,2,3,4 , LUO Wenxin 1,2,3,4,5 , WANG Zhoufeng 2,3,4 , LI Weimin 1,2,3,4,5
  • 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;
  • 3. Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
  • 4. State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
  • 5. Institute of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
Export PDF Favorites Scan Get Citation

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.

Citation: LI Jiayi, LUO Wenxin, WANG Zhoufeng, LI Weimin. Advances in radiomics for early diagnosis and precision treatment of lung cancer. Journal of Biomedical Engineering, 2025, 42(5): 1062-1068. doi: 10.7507/1001-5515.202405059 Copy

Copyright ? the editorial department of Journal of Biomedical Engineering of West China Medical Publisher. All rights reserved

  • Previous Article

    Experimental study on the treatment of postmenopausal osteoporosis with low-frequency pulsed electromagnetic fields
  • Next Article

    Research progress on deep learning-based computer-aided diagnosis of thyroid nodules using ultrasound imaging