Validation of an AI-based algorithm for measurement of the thoracic aortic diameter in low-dose chest CT.

Journal: European journal of radiology
Published Date:

Abstract

OBJECTIVES: To evaluate the performance of artificial intelligence (AI) software for automatic thoracic aortic diameter assessment in a heterogeneous cohort with low-dose, non-contrast chest computed tomography (CT).

Authors

  • I Iris Hamelink
    Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: i.hamelink@umcg.nl.
  • E Erik Jan de Heide
    Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: e.de.heide@umcg.nl.
  • G J Gert Jan Pelgrim
    Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: g.j.pelgrim@umcg.nl.
  • T C Thomas Kwee
    Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: t.c.kwee@umcg.nl.
  • P M A Peter van Ooijen
    Department of Radiation Oncology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands; Data Science in Health (DASH), University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: p.m.a.van.ooijen@umcg.nl.
  • G H Truuske de Bock
    Department of Epidemiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: g.h.de.bock@umcg.nl.
  • R Rozemarijn Vliegenthart
    Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands. Electronic address: r.vliegenthart@umcg.nl.