Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT Radiomic subtypes: a multi-cohort study.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: Radiomics analyzes quantitative features from medical images to reveal tumor heterogeneity, offering new insights for diagnosis, prognosis, and treatment prediction. This study explored radiomics based biomarkers to predict immunotherapy response and its association with the tumor microenvironment in non-small cell lung cancer (NSCLC) using unsupervised machine learning models derived from CT imaging.

Authors

  • Yusheng Guo
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Bingxin Gong
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Yi Li
    Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China.
  • Peng Mo
    Department of Radiotherapy, Fuzong Clinical Medical College (900th Hospital), Fujian Medical University, Fuzhou, China.
  • Yiqun Chen
    Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Qianqian Fan
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Qing Sun
    a State Key Laboratory of Food Science and Technology, Jiangnan University , Jiangsu , China.
  • Lianwei Miao
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yuanxi Li
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yunting Liu
    School of Medicine, Wuhan College of Arts and Science, Wuhan, China.
  • Wei Tan
    Weifang People's Hospital, Guang Wen Road, Weifang 261000, China.
  • Lian Yang
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China. yanglian2003@163.com.
  • Chuansheng Zheng

Keywords

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