Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [¹⁸F]FDG PET/CT predicts survival in multiple myeloma.

ABSTRACT:

Purpose

Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [¹⁸F]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.

Materials and methods

Forty-four, previously untreated MM patients underwent whole-body [¹⁸F]FDG PET/CT. Automated PET/CT image segmentation and volu

SUBMITTER: Sachpekidis C 

PROVIDER: S-EPMC11178614 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature