Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis.

Journal: JACC. Cardiovascular imaging
PMID: 37227330

Abstract

BACKGROUND: Cardiac uptake on technetium-99m whole-body scintigraphy (WBS) is almost pathognomonic of transthyretin cardiac amyloidosis. The rare false positives are often related to light-chain cardiac amyloidosis. However, this scintigraphic feature remains largely unknown, leading to misdiagnosis despite characteristic images. A retrospective review of all WBSs in a hospital database to detect those with cardiac uptake may allow the identification of undiagnosed patients.

Authors

  • Marc-Antoine Delbarre
    Department of Internal Medicine, Amiens University Hospital, Amiens, France; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France. Electronic address: https://twitter.com/ma_delbarre.
  • François Girardon
    Department of Research and Development, Codoc SAS, Paris, France.
  • Lucien Roquette
    Department of Research and Development, Codoc SAS, Paris, France.
  • Paul Blanc-Durand
    Nuclear Medicine Department, Groupe Hospitalier Pitié-Salpêtrière C. Foix, APHP, Paris, France.
  • Marc-Antoine Hubaut
    Department of Nuclear Medicine, Roger Salengro Hospital, Lille University Hospital, Lille, France.
  • Éric Hachulla
    Department of Internal Medicine and Clinical Immunology, Referral Centre for Centre for Rare Systemic Autoimmune Diseases North and North-West of France, Centre Hospitalier et Universitaire (University Hospital Center) Lille, Lille, France; University of Lille, Inserm, U1286 Institute for Translational Research in Inflammation, Lille, France.
  • Franck Semah
    Department of Nuclear Medicine, Roger Salengro Hospital, Lille University Hospital, Lille, France.
  • Damien Huglo
    Department of Nuclear Medicine, Claude Huriez Hospital, Lille University Hospital, Lille, France.
  • Nicolas Garcelon
    Plateforme data science - institut des maladies génétiques Imagine, Inserm, centre de recherche des Cordeliers, UMR 1138 équipe 22, institut Imagine, Paris-Descartes, université Sorbonne- Paris Cité, Paris, France.
  • Etienne Marchal
    Nuclear Medicine Department, Amiens University Hospital, Amiens, France.
  • Isabelle El Esper
    Nuclear Medicine Department, Amiens University Hospital, Amiens, France.
  • Christophe Tribouilloy
    Department of Cardiology, Amiens University Hospital, Amiens, France; UR UPJV 7517, Jules Verne University of Picardie, Amiens, France. Electronic address: tribouilloy.christophe@chu-amiens.fr.
  • Nicolas Lamblin
    Department of Cardiology, Cœur-Poumons Institut, Lille University Hospital, Lille, France; Inserm UMR1167, Institut Pasteur of Lille, Lille, France.
  • Pierre Duhaut
    Department of Internal Medicine, Amiens University Hospital, Amiens, France; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France.
  • Jean Schmidt
    Department of Internal Medicine, Amiens University Hospital, Amiens, France; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France.
  • Emmanuel Itti
    Department of Nuclear Medicine, Henri Mondor Hospital/AP-HP, Créteil, F-94010, France.
  • Thibaud Damy
    Department of Cardiology, French Referral Center for Cardiac Amyloidosis, Henri Mondor University Hospital, Assistance-Publique Hôpitaux de Paris (APHP), Créteil, France; InsermUnit U955, Clinical Epidemiology and Ageing, Paris-Est Créteil University, Val-de-Marne, Créteil, France. Electronic address: https://twitter.com/ThibaudDamy.

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