Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion.

Journal: European journal of nuclear medicine and molecular imaging
PMID:

Abstract

PURPOSE: To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive evaluation.

Authors

  • Giuseppe Muscogiuri
    Clinical Cardiology Unit and Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Mattia Chiesa
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Andrea Baggiano
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Pierino Spadafora
    Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Rossella De Santis
    Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Marco Guglielmo
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Stefano Scafuri
    Division of Interventional Structural Cardiology, Cardiothoracovascular Department, Careggi University Hospital, Florence, Italy.
  • Laura Fusini
    Department of Cardiovascular Sciences, Centro Cardiologico Monzino, Milan, Italy.
  • Saima Mushtaq
    Centro Cardiologico Monzino Scientific Institute for Research, Hospitalisation and Health Care (IRCCS) Milan Italy.
  • Edoardo Conte
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Andrea Annoni
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Alberto Formenti
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Maria Elisabetta Mancini
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Francesca Ricci
    Cardiovascular Tissue Bank-Immunohematology and Transfusion Medicine, University Hospital St. Orsola-Malpighi, Polyclinic of Bologna, Via Massarenti 9, 40138 Bologna, Italy.
  • Francesco Paolo Ariano
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Luigi Spiritigliozzi
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Mario Babbaro
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Rocco Mollace
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Riccardo Maragna
    Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milano, Milano, Italy.
  • Carlo Maria Giacari
    Centro Cardiologico Monzino, IRCCS, Milan, Italy.
  • Daniele Andreini
    Division of Cardiology and Cardiac Imaging, IRCCS Ospedale Galeazzi - Sant'Ambrogio Milan, Italy.
  • Andrea Igoren Guaricci
    University Cardiology Unit, Cardiothoracic Department, Polyclinic University Hospital, Policlinico Bari, piazza Giulio Cesare n.11, 70120 Bari, Italy.
  • Gualtiero I Colombo
    Unit of Immunology and Functional Genomics, Centro Cardiologico Monzino IRCCS, Via Carlo Parea, 4, 20138, Milan, Italy.
  • Mark G Rabbat
    Loyola University Medical Center, Maywood, IL, USA.
  • Mauro Pepi
    Clinical Cardiology Unit and Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Francesco Sardanelli
    1 Unit of Radiology, Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097 Milan, Italy.
  • Gianluca Pontone
    Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.