Bone disease is among the defining characteristics of symptomatic Multiple Myeloma (MM). Imaging techniques such as fluorodeoxyglucose positron emission tomography–computed tomography (FDG PET/CT) and magnetic resonance imaging (MRI) can identify plasma cell proliferation and quantify disease activity. This function renders these imaging tools as suitable not only for diagnosis, but also for the assessment of bone disease after treatment of MM patients. The aim of this article is to review FDG PET/CT and MRI and their applications, with a focus on their role in treatment response evaluation. MRI emerges as the technique with the highest sensitivity in lesions’ detection and PET/CT as the technique with a major impact on prognosis. Their comparison yields different results concerning the best tool to evaluate treatment response. The inhomogeneity of the data suggests the need to address limitations related to these tools with the employment of new techniques and the potential for a complementary use of both PET/CT and MRI to refine the sensitivity and achieve the standards for minimal residual disease (MRD) evaluation.
Minimal residual disease (MRD) evaluation is a recognized endpoint in clinical trials. Both next-generation flow and sequencing could be used as complementary techniques to detect myeloma cells after therapy to measure the depth of response and novel drug efficacy. Anti-CD38 monoclonal antibodies combined with proteasome inhibitors and immunomodulatory drugs have increased the quality of response in myeloma patients, and MRD evaluation is also entering routine clinical practice in many hematological centers. This review analyzes updated results from recent clinical trials utilizing anti-CD38 monoclonal antibodies such as isatuximab and daratumumab in terms of their responses and MRD data. MRD-driven therapy appears promising for the future of MM patients, and emerging minimally invasive techniques to assess MRD are under investigation as novel potential methods to replace or integrate traditional MRD evaluation.