Accurate stratification between VEXAS syndrome and differential diagnoses by deep learning analysis of peripheral blood smears.

Journal: Clinical chemistry and laboratory medicine
Published Date:

Abstract

OBJECTIVES: VEXAS syndrome is a newly described autoinflammatory disease associated with somatic mutations and vacuolization of myeloid precursors. This disease possesses an increasingly broad spectrum, leading to an increase in the number of suspected cases. Its diagnosis via bone-marrow aspiration and -gene sequencing is time-consuming and expensive. This study aimed at analyzing peripheral leukocytes using deep learning approaches to predict VEXAS syndrome in comparison to differential diagnoses.

Authors

  • Floris Chabrun
    Laboratoire de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire d'Angers, Angers, France.
  • Valentin Lacombe
    University of Angers, Inserm 1083, CNRS 6015, Mitolab Team, MITOVASC Institute, SFR ICAT, Angers, France.
  • Xavier Dieu
    Laboratoire de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire d'Angers, Angers, France.
  • Franck Geneviève
    Laboratoire d'Hématologie, Centre Hospitalier Universitaire Angers, Angers, France.
  • Geoffrey Urbanski
    Unité Mixte de Recherche (UMR) MITOVASC, Centre National de la Recherche Scientifique (CNRS) 6015, Institut National de la Santé et de la Recherche Médicale (INSERM) U1083, Université d'Angers, Angers, France.