CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published Date: Aug 21, 2025

Abstract

BACKGROUND: Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. Computed tomography (CT) is the most widely used imaging modality for preoperative work-up. The aim of this study was to develop and validate a CT-based machine learning model integrating intra-and peri-tumoral features to predict OLNM in lung cancer patients.

Authors

  • Xiaoyan Lu
    Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China.
  • Fan Liu
    Hunan Provincial Key Laboratory of Dong Medicine, Hunan University of Medicine, Huaihua, China.
  • Jiahui E
    Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin, China.
  • Xiaoting Cai
    Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, Huan-Hu-Xi Road, Ti-Yuan-Bei, He Xi District, Tianjin, China.
  • Jingyi Yang
    Department of Radiation Oncology, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
  • Xueqi Wang
    Capital Institute of Pediatrics, Beijing 100020, China.
  • Yuwei Zhang
    Institute of Biomaterials and Biomedical Engineering , University of Toronto , 164 College Street , Toronto , Ontario M5S 3G9 , Canada.
  • Bingsheng Sun
    Department of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Lung Cancer Center, 
Tianjin Cancer Hospital Airport Hospital National Clinical Research Center for Cancer, Tianjin 300060, China.
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.

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