Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in France.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: Acute leukaemias are life-threatening haematological cancers characterised by the infiltration of transformed immature haematopoietic cells in the blood and bone marrow. Prompt and accurate diagnosis of the three main acute leukaemia subtypes (ie acute lymphocytic leukaemia [ALL], acute myeloid leukaemia [AML], and acute promyelocytic leukaemia [APL]) is of utmost importance to guide initial treatment and prevent early mortality but requires cytological expertise that is not always available. We aimed to benchmark different machine-learning strategies using a custom variable selection algorithm to propose an extreme gradient boosting model to predict leukaemia subtypes on the basis of routine laboratory parameters.

Authors

  • Vincent Alcazer
    Department of Clinical Hematology, Hospices Civils de Lyon, Hôpital Lyon Sud, Lyon, France; International Center for Infectiology Research, Inserm U1111, Lyon, France. Electronic address: vincent.alcazer@chu-lyon.fr.
  • Grégoire Le Meur
    Department of Clinical Hematology, Hospices Civils de Lyon, Hôpital Lyon Sud, Lyon, France.
  • Marie Roccon
    Laboratory of Hematology, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France.
  • Sabrina Barriere
    Department of Clinical Hematology, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France.
  • Baptiste Le Calvez
    Pediatric Oncology, Centre Hospitalier Universitaire de Nantes, Nantes, France.
  • Bouchra Badaoui
    Department of Biological Hematology and Immunology, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Paris, France.
  • Agathe Spaeth
    Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Paris, France.
  • Olivier Kosmider
    Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Paris, France.
  • Nicolas Freynet
    Department of Biological Hematology and Immunology, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Paris, France.
  • Marion Eveillard
    Pediatric Oncology, Centre Hospitalier Universitaire de Nantes, Nantes, France.
  • Carolyne Croizier
    Department of Clinical Hematology, Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France.
  • Simon Chevalier
    Laboratory of Hematology, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France.
  • Pierre Sujobert
    Laboratory of Hematology, Hospices Civils de Lyon, Hôpital Lyon Sud, Lyon, France; International Center for Infectiology Research, Inserm U1111, Lyon, France.