Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function.

Journal: Academic radiology
Published Date: Apr 10, 2025

Abstract

RATIONALE AND OBJECTIVES: Chest computed tomography (CT) radiomics can be utilized for categorical predictions; however, models predicting pulmonary function indices directly are lacking. This study aimed to develop machine-learning-based regression models to predict pulmonary function using chest CT radiomics.

Authors

  • Wenfang Wang
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Yingli Sun
    Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
  • Ruoyu Wu
  • Liang Jin
    Radiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
  • Zhaowen Shi
    Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, PR China (Z.S.).
  • Buweihailiqie Tuersun
    The Second People's Hospital of Kashi District, Kashi 844000, PR China (B.T.).
  • Shanlan Yang
    Department of Gerontology, Huadong Hospital, Fudan University, Shanghai Key Laboratory of Clinical Geriatric Medicine, Research Center on Aging and Medicine, Fudan University, Shanghai 200040, PR China (S.Y.).
  • Ming Li
    Radiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.

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