A Bayesian deep learning model with consolidation-to-tumor ratio (CTR) prior revolutionizes the prediction of spread through air spaces (STAS) in stage IA lung adenocarcinoma: a large-scale diagnostic study.

Journal: Translational lung cancer research
Published Date: May 27, 2025

Abstract

BACKGROUND: The preoperative prediction of spread through air spaces (STAS) in patients with early-stage lung adenocarcinoma (LUAD) is crucial for selecting the appropriate surgical approach and improving patient outcomes. Previous research has confirmed that there is a significant correlation between consolidation-to-tumor ratio (CTR) and STAS. This study aimed to develop a Bayesian deep learning (DL) model based on the CTR prior to predict STAS in patients with stage IA LUAD.

Authors

  • Jie Cao
    College of Veterinary Medicine, China Agricultural University, Beijing, China.
  • Nan Chen
  • Lingyu Zhou
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China.
  • Le Yi
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, 610065 Chengdu, Sichuan, China.
  • Zhiyu Peng
    Department of Ophthalmology, Fudan Eye & ENT Hospital, Shanghai, China.
  • Lin Qiu
    School of Water conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450011, PR China. Electronic address: qiulin@ncwu.edu.cn.
  • Haokun Wu
    West China School of Medicine, Sichuan University, Chengdu, China.
  • Xiyue Tan
    West China School of Medicine, Sichuan University, Chengdu, China.
  • Kunhao Wu
    West China School of Medicine, Sichuan University, Chengdu, China.
  • Huahang Lin
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Zhaokang Huang
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Zetao Liu
    West China Medical School, Sichuan University, Chengdu, Sichuan, China.
  • Chenglin Guo
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Xiuyuan Xu
  • Zhang Yi
  • Jiandong Mei
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.

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