A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT.

Journal: Insights into imaging
Published Date: Jun 27, 2025

Abstract

OBJECTIVE: New, intermediate-sized nodules in lung cancer screening undergo follow-up CT, but some of these will resolve. We evaluated the performance of a multi-view convolutional neural network (CNN) in distinguishing resolving and non-resolving new, intermediate-sized lung nodules.

Authors

  • Jingxuan Wang
    College of Life Science and Bio-engineering, Beijing University of Technology, Beijing 100124, P.R.China.
  • Xiaowen Zhang
    Department of Foreign Languages and Literatures, Tsinghua University, Beijing, China.
  • Wei Tang
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Marcel van Tuinen
    Department of Radiology, University Medical Center of Groningen, Groningen, 9713GZ, The Netherlands.
  • Rozemarijn Vliegenthart
    University of Groningen, University Medical Center Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
  • Peter van Ooijen
    Department of Radiation Oncology, Coordinator Machine Learning Lab, Data Science Center in Health (DASH), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.

Keywords

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