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Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity?
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)....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912483/ https://www.ncbi.nlm.nih.gov/pubmed/33494449 http://dx.doi.org/10.3390/medicina57020094 |
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author | Tagliafico, Alberto Stefano Dominietto, Alida Belgioia, Liliana Campi, Cristina Schenone, Daniela Piana, Michele |
author_facet | Tagliafico, Alberto Stefano Dominietto, Alida Belgioia, Liliana Campi, Cristina Schenone, Daniela Piana, Michele |
author_sort | Tagliafico, Alberto Stefano |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7912483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79124832021-02-28 Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? Tagliafico, Alberto Stefano Dominietto, Alida Belgioia, Liliana Campi, Cristina Schenone, Daniela Piana, Michele Medicina (Kaunas) Review 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. MDPI 2021-01-21 /pmc/articles/PMC7912483/ /pubmed/33494449 http://dx.doi.org/10.3390/medicina57020094 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Tagliafico, Alberto Stefano Dominietto, Alida Belgioia, Liliana Campi, Cristina Schenone, Daniela Piana, Michele Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? |
title | Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? |
title_full | Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? |
title_fullStr | Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? |
title_full_unstemmed | Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? |
title_short | Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? |
title_sort | quantitative imaging and radiomics in multiple myeloma: a potential opportunity? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912483/ https://www.ncbi.nlm.nih.gov/pubmed/33494449 http://dx.doi.org/10.3390/medicina57020094 |
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