Multiple myeloma (MM) is the second most prevalent hematologic malignancy, particularly affecting the elderly. The disease often begins with a premalignant phase known as monoclonal gammopathy of undetermined significance (MGUS), solitary plasmacytoma (SP) and smoldering multiple myeloma (SMM). Multiple imaging modalities are employed throughout the disease continuum to assess bone lesions, prevent complications, detect intra- and extramedullary disease, and evaluate the risk of neurological complications. The implementation of advanced imaging analysis techniques, including artificial intelligence (AI) and radiomics, holds great promise for enhancing our understanding of MM. The integration of advanced image analysis techniques which extract features from magnetic resonance imaging (MRI), computed tomography (CT), or positron emission tomography (PET) images has the potential to enhance the diagnostic accuracy for MM. This innovative approach may lead to the identification of imaging biomarkers that can predict disease prognosis and treatment outcomes. Further research and standardized evaluations are needed to define the role of radiomics in everyday clinical practice for patients with MM.
多发性骨髓瘤（MM）是第二常见的血液系统恶性肿瘤，尤其好发于老年人群。该疾病通常始于癌前阶段，包括意义未明的单克隆丙种球蛋白病（MGUS）、孤立性浆细胞瘤（SP）以及冒烟型多发性骨髓瘤（SMM）。在疾病全程中，多种影像学检查方法被用于评估骨病变、预防并发症、检测髓内及髓外病变，并评估神经系统并发症风险。先进影像分析技术（包括人工智能与影像组学）的应用，为深化对多发性骨髓瘤的认识提供了广阔前景。通过整合从磁共振成像（MRI）、计算机断层扫描（CT）或正电子发射断层扫描（PET）图像中提取特征的先进影像分析技术，有望提升多发性骨髓瘤的诊断准确性。这一创新方法可能推动影像生物标志物的发现，从而预测疾病预后与治疗效果。未来需要进一步开展研究并进行标准化评估，以明确影像组学在多发性骨髓瘤患者日常临床实践中的作用。
Role of Imaging in Multiple Myeloma: A Potential Opportunity for Quantitative Imaging and Radiomics?
肿瘤(癌症)患者之家