Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH.

Journal: European radiology
Published Date: May 28, 2025

Abstract

OBJECTIVES: This work aimed to develop an automated method for quantifying the distribution and severity of perfusion changes on CT pulmonary angiography (CTPA) in patients with chronic thromboembolic pulmonary hypertension (CTEPH) and to assess their associations with clinical parameters and expert annotations.

Authors

  • Vojtech Suchanek
    Department of Imaging Methods, Motol University Hospital and Second Faculty of Medicine, Charles University, Prague, Czech Republic.
  • Roman Jakubicek
    Faculty of Electrical Engineering and Communication, Department of Biomedical Engineering, Brno University of Technology, Brno, Technicka 3082/12, 616 00, Czechia.
  • Jan Hrdlicka
    Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
  • Matej Novak
    Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
  • Lucie Miksova
    Second Department of Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
  • Pavel Jansa
    Second Department of Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
  • Andrea Burgetova
    Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
  • Lukas Lambert
    Department of Imaging Methods, Motol University Hospital and Second Faculty of Medicine, Charles University, Prague, Czech Republic. lambert.lukas@gmail.com.

Keywords

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