Multiple myeloma (MM) is a malignant plasma cell neoplasm,and medical imaging plays a crucial role in its diagnosis and management. However,traditional imaging modalities struggle to provide in-depth analysis of intratumoral heterogeneity. Radiomics,an emerging field that employs high-throughput extraction and analysis of quantitative imaging features,offers a novel approach to unraveling the complexities within the tumor microenvironment. Driven by rapid advancements in artificial intelligence and ongoing clinical research,radiomics holds immense promise as a valuable tool for precision diagnosis and treatment of MM,potentially leading to improved patient outcomes. This review provides a comprehensive overview of recent advancements in radiomics research for MM. We delve into its applications in diagnosis and differential diagnosis,prognostication,and treatment response monitoring,highlighting key findings and potential clinical implications. Furthermore,we critically analyze the current challenges and future directions of radiomics in MM,aiming to guide its clinical translation and research endeavors. This review serves as a valuable resource for clinicians and researchers alike,offering insights into the evolving landscape of radiomics in MM management and its potential to enhance patient care.
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