Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a machine learning, cross-sectional, bicentric study.

Journal: Journal of cardiothoracic surgery
Published Date: Feb 11, 2025

Abstract

BACKGROUND: Radiomics has shown promise in the diagnosis and prognosis of lung cancer. Here, we investigated the performance of computed tomography-based radiomic features, extracted from gross tumor volume (GTV), peritumoral volume (PTV), and GTV + PTV (GPTV), for predicting the pathological invasiveness of pure ground-glass nodules present in lung adenocarcinoma.

Authors

  • Ying Zeng
    Tongji University School of Medicine, Tongji University, Shanghai, China.
  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Shanyue Lin
    Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin, China.
  • Haibo Liu
    Department of Thoracic Surgery, Peking University First Hospital, Beijing, China.
  • Yingjun Zhou
    Department of Radiology, Xiangtan Central Hospital, Xiangtan, China.
  • Xiao Zhou
    College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, China; Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.

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