Preoperative Prediction of STAS Risk in Primary Lung Adenocarcinoma Using Machine Learning: An Interpretable Model with SHAP Analysis.

Journal: Academic radiology
Published Date: Mar 25, 2025

Abstract

BACKGROUND: Accurate preoperative prediction of spread through air spaces (STAS) in primary lung adenocarcinoma (LUAD) is critical for optimizing surgical strategies and improving patient outcomes.

Authors

  • Ping Wang
    School of Chemistry and Chemical Engineering, Shandong University of Technology, 255049, Zibo, PR China. Electronic address: wangping876@163.com.
  • Jianing Cui
    Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
  • Haoyuan Du
    Department of Orthopaedic Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China (H.D.).
  • Zhanhua Qian
    Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China (P.W., J.C., Z.Q., H.Z., H.Z., W.Y., R.B.).
  • Huili Zhan
    Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China (P.W., J.C., Z.Q., H.Z., H.Z., W.Y., R.B.).
  • Heng Zhang
    Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wei Ye
    AliveX Biotech, Shanghai, China.
  • Wei Meng
  • Rongjie Bai
    Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China. bairongjie@126.com.

Keywords

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