Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [F]FDG PET/CT predicts survival in multiple myeloma.

Journal: European journal of nuclear medicine and molecular imaging
Published Date:

Abstract

PURPOSE: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding standardization of scan interpretation. Our group has recently demonstrated the feasibility of automated, volumetric assessment of bone marrow (BM) metabolic activity on PET/CT using a novel artificial intelligence (AI)-based tool. Accordingly, the aim of the current study is to investigate the prognostic role of whole-body calculations of BM metabolism in patients with newly diagnosed MM using this AI tool.

Authors

  • Christos Sachpekidis
    Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany. c.sachpekidis@dkfz-heidelberg.de.
  • Olof Enqvist
    Department of Electrical Engineering, Region Västra Götaland, Chalmers University of Technology, Gothenburg, Sweden.
  • Johannes Ulén
    Eigenvision AB, Malmö, Sweden.
  • Annette Kopp-Schneider
    Division of Biostatistics, German Cancer Research Center, Im Neuenheimer Feld 581, 69210, Heidelberg, Germany.
  • Leyun Pan
    Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany.
  • Elias K Mai
  • Marina Hajiyianni
    Department of Internal Medicine V, University Hospital Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Maximilian Merz
    Department of Hematology and Cell Therapy, University of Leipzig, Leipzig, Germany.
  • Marc S Raab
    Department of Internal Medicine V, University Hospital Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Anna Jauch
    Institute of Human Genetics.
  • Hartmut Goldschmidt
  • Lars Edenbrandt
    Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Antonia Dimitrakopoulou-Strauss