Predicting brain metastases in EGFR-positive lung adenocarcinoma patients using pre-treatment CT lung imaging data.

Journal: European journal of radiology
Published Date: Jun 26, 2025

Abstract

OBJECTIVES: This study aims to establish a dual-feature fusion model integrating radiomic features with deep learning features, utilizing single-modality pre-treatment lung CT image data to achieve early warning of brain metastasis (BM) risk within 2 years in EGFR-positive lung adenocarcinoma.

Authors

  • Xinliu He
    School of Medical Technology, Tianjin Medical University, Tianjin, 300203, China; School of Medical Imaging, Tianjin Medical University, Tianjin, 300203, China.
  • Chao Guan
    Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Ting Chen
    CAS Key Laboratory of Tropical Marine Bio-resources and Ecology (LMB), Guangdong Provincial Key Laboratory of Applied Marine Biology (LAMB), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China. chan1010@scsio.ac.cn.
  • Houde Wu
    School of Medical Imaging, Tianjin Medical University, Tianjin 300203, China.
  • Liuchao Su
    The Department of Respiratory Medicine, Tianjin Hospital, Tianjin, China; Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Tianjin, China.
  • Mingfang Zhao
    Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
  • Li Guo
    Department of Dental Implantology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.

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