Artificial intelligence-assisted quantitative CT analysis of airway changes following SABR for central lung tumors.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PMID: 38857700

Abstract

INTRODUCTION: Use of stereotactic ablative radiotherapy (SABR) for central lung tumors can result in up to a 35% incidence of late pulmonary toxicity. We evaluated an automated scoring method to quantify post-SABR bronchial changes by using artificial intelligence (AI)-based airway segmentation.

Authors

  • Hilâl Tekatli
    Department of Radiation Oncology, VU University Medical Center, De Boelelaan, Amsterdam, The Netherlands.
  • Omar Bohoudi
    Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands.
  • Nicholas Hardcastle
    Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
  • Miguel A Palacios
    Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands.
  • Famke L Schneiders
    Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands.
  • Anna M E Bruynzeel
    Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands.
  • Shankar Siva
    Division of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Center, University of Melbourne, Melbourne, Victoria, Australia.
  • Suresh Senan
    Department of Radiation Oncology, VU University Medical Center, De Boelelaan, Amsterdam, The Netherlands.

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