影像组学在多发性骨髓瘤中的临床研究进展

Recent advances in radiomics for multiple myeloma diagnosis and prognosis

多发性骨髓瘤(multiple myeloma,MM)是一种恶性浆细胞肿瘤,影像学检查在其诊治中发挥重要作用。然而,传统影像学方法难以深入分析肿瘤内部信息。近年来,影像组学作为一门新兴学科,通过高通量提取和分析医学影像中的定量特征,为深入挖掘肿瘤内部信息、揭示肿瘤微环境异质性提供了新的途径。随着人工智能技术的快速发展和临床研究的深入,影像组学有望成为MM精准诊疗的重要工具,为改善患者预后提供新的策略。本综述系统回顾了近年来发表的相关文献,全面概述了影像组学在MM诊断及鉴别诊断、预后评估和治疗反应监测方面的研究进展,并分析了其临床应用前景和面临的挑战,旨在为未来影像组学在MM临床实践中的应用和研究方向提供参考。

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.