Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

Journal: European radiology
Published Date: Jan 2, 2025

Abstract

OBJECTIVES: Incidentally detected pulmonary nodules present a challenge in clinical routine with demand for reliable support systems for risk classification. We aimed to evaluate the performance of the lung-cancer-prediction-convolutional-neural-network (LCP-CNN), a deep learning-based approach, in comparison to multiparametric statistical methods (Brock model and Lung-RADS®) for risk classification of nodules in cohorts with different risk profiles and underlying pulmonary diseases.

Authors

  • Lars Piskorski
    Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Manuel Debic
    Diagnostic and Interventional Radiology.
  • Oyunbileg von Stackelberg
    Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany; Translational Lung Research Center, Member of the German Lung Research Center, Heidelberg, Germany; Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany. Electronic address: Oyunbileg.Stackelberg@med.uni-heidelberg.de.
  • Kai Schlamp
  • Linn Welzel
    Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Oliver Weinheimer
    Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
  • Alan Arthur Peters
    Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 27, 3010, Bern, Switzerland. alan.peters@insel.ch.
  • Mark Oliver Wielpütz
    Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Thomas Frauenfelder
  • Hans-Ulrich Kauczor
    Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
  • Claus Peter Heussel
    Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany; Translational Lung Research Center, Member of the German Lung Research Center, Heidelberg, Germany; Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany. Electronic address: heussel_elsevier2019@contbay.com.
  • Jonas Kroschke
    Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany. jonas.kroschke@usz.ch.

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