Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

Journal: La Radiologia medica
Published Date:

Abstract

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of osteoporosis in cancer patients. Yet, they are frequently missed or not reported in routine clinical radiology, adversely impacting patient outcomes and quality of life. This study evaluates the diagnostic performance of a deep-learning (DL)-based application and its potential to reduce the miss rate of incidental VCFs in a high-risk cancer population.

Authors

  • El Mehdi Mniai
    Department of Radiology, Gustave Roussy, 94805, Villejuif, France.
  • Vladimir Laletin
    Avicenna.AI, 375 Avenue du Mistral, 13600, La Ciotat, France. vladimir.laletin@avicenna.ai.
  • Lambros Tselikas
    Department of Interventional Radiology, Gustave Roussy, Villejuif, France.
  • Tarek Assi
    Division of International Patients Care, Gustave Roussy, 94805, Villejuif, France.
  • Baptiste Bonnet
    Gustave Roussy, Département d'Anesthésie, Chirurgie et Interventionnel (DACI), 94805 Villejuif, France; Faculté de Médecine, Paris-Saclay University, 94276 Le Kremlin Bicêtre, France.
  • Astrid Orfali Camez
    Department of Radiology, Gustave Roussy, 94805, Villejuif, France.
  • Amir Zemmouri
    Department of Radiology, Gustave Roussy, 94805, Villejuif, France.
  • Serge Muller
    GE Healthcare, Buc, France.
  • Tania Moussa
    Department of Radiology, Gustave Roussy, 94805, Villejuif, France.
  • Yasmina Chaibi
    Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France.
  • Julie Kiewsky
    Avicenna.AI, 375 Avenue du Mistral, 13600, La Ciotat, France.
  • Sarah Quenet
    Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France.
  • Christophe Avare
    Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France.
  • Nathalie Lassau
    Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay. 94800 Villejuif, France.
  • Corinne Balleyguier
    Department of Radiology, Gustave Roussy Cancer Campus, Villejuif, France; Université Paris-Saclay, Paris, France.
  • Angela Ayobi
    Avicenna.AI, 375 Avenue du Mistral, 13600 La Ciotat, France.
  • Samy Ammari
    Service de Radiologie, Gustave-Roussy, Université Paris-Saclay, Villejuif, France.

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