Functional Imaging in the Evaluation of Treatment Response in Multiple Myeloma: The Role of PET-CT and MRI.
Adele SantoniMartina SimoncelliMarta FranceschiniSara CiofiniSara FredducciFederico CaroniVincenzo SammartanoMonica BocchiaAlessandro GozzettiPublished in: Journal of personalized medicine (2022)
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.
Keyphrases
- pet ct
- positron emission tomography
- computed tomography
- magnetic resonance imaging
- contrast enhanced
- multiple myeloma
- diffusion weighted imaging
- disease activity
- high resolution
- cell proliferation
- rheumatoid arthritis
- systemic lupus erythematosus
- magnetic resonance
- end stage renal disease
- pet imaging
- chronic kidney disease
- newly diagnosed
- bone mineral density
- mental health
- big data
- ejection fraction
- machine learning
- photodynamic therapy
- juvenile idiopathic arthritis
- peritoneal dialysis
- bone regeneration
- human health
- soft tissue
- mass spectrometry
- clinical evaluation