Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.

Journal: The Journal of thoracic and cardiovascular surgery
Published Date: Feb 16, 2021

Abstract

OBJECTIVE: The study objective was to investigate if machine learning algorithms can predict whether a lung nodule is benign, adenocarcinoma, or its preinvasive subtype from computed tomography images alone.

Authors

  • Syed Faaz Ashraf
    Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pa.
  • Ke Yin
    Department of Radiology, The Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
  • Cindy X Meng
    IIISLab LLC, Pittsburgh, Pa.
  • Qi Wang
    Biotherapeutics Discovery Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
  • Qiong Wang
    Beijing Meiling Biotechnology Corporation, Beijing, 102600, PR China.
  • Jiantao Pu
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Rajeev Dhupar
    Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pa; VA Pittsburgh Healthcare System, Pittsburgh, Pa. Electronic address: dhuparr2@upmc.edu.

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