Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.

Journal: BMC cancer
PMID: 40082786

Abstract

OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomic features, develop multi-source radiomic models using various machine learning algorithms to identify the optimal model, and integrate clinical factors to establish a nomogram for predicting the therapeutic response to induction therapy(IT) in locally advanced non-small cell lung cancer.

Authors

  • FangHao Cai
    Department of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Road, Nan'an District, Chongqing, 400010, China.
  • Zhengjun Guo
    Department of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Road, Nan'an District, Chongqing, 400010, China. guozhengjun@hospital.cqmu.edu.cn.
  • Guoyu Wang
    Department of Philosophy, Dalian University of Technology, Dalian, 116024, China.
  • FuPing Luo
    Department of Oncology and Hematology, The First People's Hospital of Longquanyi District, No. 669, Donglang Road, Chengdu, 610100, China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Min Lv
    Division of Physical Biology & Bioimaging Center, Shanghai Synchrotron Radiation Facility, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.
  • JiMin He
    Department of Oncology and Hematology, The First People's Hospital of Longquanyi District, No. 669, Donglang Road, Chengdu, 610100, China.
  • ZhiGang Xiu
    Department of Oncology and Hematology, The First People's Hospital of Longquanyi District, No. 669, Donglang Road, Chengdu, 610100, China.
  • Dan Tang
    Laboratory of Molecular Translational Medicine, Centre for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Clinical Research Center for Birth Defects of Sichuan Province, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
  • XiaoHui Bao
    Department of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Road, Nan'an District, Chongqing, 400010, China.
  • Xiaoyue Zhang
    Ping An Healthcare Technology, Beijing, China.
  • ZhenZhou Yang
    Department of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Road, Nan'an District, Chongqing, 400010, China. yangzz@cqmu.edu.cn.
  • Zhi Chen
    Duke University.

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