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Abstract #3112

Characterizing Bone Marrow Adipose Tissue Composition in Multiple Myeloma Using Chemical Shift Encoded MRI

Dimitri Martel1, Mary Bruno1, and Marius Mayerhoefer1
1Department of Radiology, NYU Langone, New York, NY, United States

Synopsis

Keywords: Bone/Skeletal, Cancer, Myeloma

Motivation: Multiple myeloma (MM) induces metabolic changes in bone marrow that are often undetectable with standard imaging. Early biomarkers of MM progression and treatment effects could enhance patient care.

Goal(s): To assess bone marrow fat composition in MM and healthy subjects using CSE-MRI, focusing on PDFF and fatty acid profiles as potential biomarkers.

Approach: Twenty participants (Healthy, SMM, Treated MM) underwent CSE-MRI. PDFF and fatty acid metrics were measured across lumbar vertebrae (L1–L4).

Results: Treated MM patients showed elevated PDFF, with significant increases at L3, L2, and L1. SFA was higher in MM groups;MUFA was elevated in SMM at L3,and PUFA differed across vertebrae.

Impact: These findings highlight the clinical potential of CSE-MRI in assessing metabolic biomarkers for MM staging and treatment monitoring. This study lays the groundwork for a more precise, non-invasive approach to MM assessment, warranting further investigation in larger cohorts.

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