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How Can Imaging Help the Radiation Oncologist in Multiple Myeloma Treatment
Open AccessReview

Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity?

1
Department of Health Sciences (DISSAL), University of Genoa, 16129 Genoa, Italy
2
IRCCS Ospedale Policlinico San Martino, 16129 Genoa, Italy
3
Department of Mathematics (DIMA), University of Genoa, 16129 Genoa, Italy
4
CNR—SPIN, 16129 Genoa, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Vincenzo Desiderio
Medicina 2021, 57(2), 94; https://doi.org/10.3390/medicina57020094
Received: 7 January 2021 / Revised: 19 January 2021 / Accepted: 19 January 2021 / Published: 21 January 2021
(This article belongs to the Special Issue Multiple Myeloma and Imaging)
Multiple Myeloma (MM) is the second most common type of hematological disease and, although it is rare among patients under 40 years of age, its incidence rises in elderly subjects. MM manifestations are usually identified through hyperCalcemia, Renal failure, Anaemia, and lytic Bone lesions (CRAB). In particular, the extent of the bone disease is negatively related to a decreased quality of life in patients and, in general, bone disease in MM increases both morbidity and mortality. The detection of lytic bone lesions on imaging, especially computerized tomography (CT) and Magnetic Resonance Imaging (MRI), is becoming crucial from the clinical viewpoint to separate asymptomatic from symptomatic MM patients and the detection of focal lytic lesions in these imaging data is becoming relevant even when no clinical symptoms are present. Therefore, radiology is pivotal in the staging and accurate management of patients with MM even in early phases of the disease. In this review, we describe the opportunities offered by quantitative imaging and radiomics in multiple myeloma. At the present time there is still high variability in the choice between various imaging methods to study MM patients and high variability in image interpretation with suboptimal agreement among readers even in tertiary centers. Therefore, the potential of medical imaging for patients affected by MM is still to be completely unveiled. In the coming years, new insights to study MM with medical imaging will derive from artificial intelligence (AI) and radiomics usage in different bone lesions and from the wide implementations of quantitative methods to report CT and MRI. Eventually, medical imaging data can be integrated with the patient’s outcomes with the purpose of finding radiological biomarkers for predicting the prognostic flow and therapeutic response of the disease. View Full-Text
Keywords: multiple myeloma; computed tomography; artificial intelligence; radiomics; prognosis; imaging; diagnosis multiple myeloma; computed tomography; artificial intelligence; radiomics; prognosis; imaging; diagnosis
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MDPI and ACS Style

Tagliafico, A.S.; Dominietto, A.; Belgioia, L.; Campi, C.; Schenone, D.; Piana, M. Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? Medicina 2021, 57, 94. https://doi.org/10.3390/medicina57020094

AMA Style

Tagliafico AS, Dominietto A, Belgioia L, Campi C, Schenone D, Piana M. Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? Medicina. 2021; 57(2):94. https://doi.org/10.3390/medicina57020094

Chicago/Turabian Style

Tagliafico, Alberto S.; Dominietto, Alida; Belgioia, Liliana; Campi, Cristina; Schenone, Daniela; Piana, Michele. 2021. "Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity?" Medicina 57, no. 2: 94. https://doi.org/10.3390/medicina57020094

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