Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches
Cardiometabolic disease refers to the spectrum of chronic conditions that include diabetes, hypertension, atheromatosis, non-alcoholic fatty liver disease, and their long-term impact on cardiovascular health. Histological studies have confirmed several modifications at the tissue level in cardiometa...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2022.991383/full |
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| author | Anastasia Fotaki Carlos Velasco Claudia Prieto Claudia Prieto Claudia Prieto Claudia Prieto René M. Botnar René M. Botnar René M. Botnar René M. Botnar |
| author_facet | Anastasia Fotaki Carlos Velasco Claudia Prieto Claudia Prieto Claudia Prieto Claudia Prieto René M. Botnar René M. Botnar René M. Botnar René M. Botnar |
| author_sort | Anastasia Fotaki |
| collection | DOAJ |
| description | Cardiometabolic disease refers to the spectrum of chronic conditions that include diabetes, hypertension, atheromatosis, non-alcoholic fatty liver disease, and their long-term impact on cardiovascular health. Histological studies have confirmed several modifications at the tissue level in cardiometabolic disease. Recently, quantitative MR methods have enabled non-invasive myocardial and liver tissue characterization. MR relaxation mapping techniques such as T1, T1ρ, T2 and T2* provide a pixel-by-pixel representation of the corresponding tissue specific relaxation times, which have been shown to correlate with fibrosis, altered tissue perfusion, oedema and iron levels. Proton density fat fraction mapping approaches allow measurement of lipid tissue in the organ of interest. Several studies have demonstrated their utility as early diagnostic biomarkers and their potential to bear prognostic implications. Conventionally, the quantification of these parameters by MRI relies on the acquisition of sequential scans, encoding and mapping only one parameter per scan. However, this methodology is time inefficient and suffers from the confounding effects of the relaxation parameters in each single map, limiting wider clinical and research applications. To address these limitations, several novel approaches have been proposed that encode multiple tissue parameters simultaneously, providing co-registered multiparametric information of the tissues of interest. This review aims to describe the multi-faceted myocardial and hepatic tissue alterations in cardiometabolic disease and to motivate the application of relaxometry and proton-density cardiac and liver tissue mapping techniques. Current approaches in myocardial and liver tissue characterization as well as latest technical developments in multiparametric quantitative MRI are included. Limitations and challenges of these novel approaches, and recommendations to facilitate clinical validation are also discussed. |
| first_indexed | 2024-04-10T20:56:02Z |
| format | Article |
| id | doaj.art-c9339d7decd64854a3e0e67974083ba8 |
| institution | Directory Open Access Journal |
| issn | 2297-055X |
| language | English |
| last_indexed | 2024-04-10T20:56:02Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj.art-c9339d7decd64854a3e0e67974083ba82023-01-23T05:26:21ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2023-01-01910.3389/fcvm.2022.991383991383Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approachesAnastasia Fotaki0Carlos Velasco1Claudia Prieto2Claudia Prieto3Claudia Prieto4Claudia Prieto5René M. Botnar6René M. Botnar7René M. Botnar8René M. Botnar9School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomSchool of Engineering, Pontificia Universidad Católica de Chile, Santiago, ChileInstitute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, ChileMillennium Institute for Intelligent Healthcare Engineering, Santiago, ChileSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomSchool of Engineering, Pontificia Universidad Católica de Chile, Santiago, ChileInstitute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, ChileMillennium Institute for Intelligent Healthcare Engineering, Santiago, ChileCardiometabolic disease refers to the spectrum of chronic conditions that include diabetes, hypertension, atheromatosis, non-alcoholic fatty liver disease, and their long-term impact on cardiovascular health. Histological studies have confirmed several modifications at the tissue level in cardiometabolic disease. Recently, quantitative MR methods have enabled non-invasive myocardial and liver tissue characterization. MR relaxation mapping techniques such as T1, T1ρ, T2 and T2* provide a pixel-by-pixel representation of the corresponding tissue specific relaxation times, which have been shown to correlate with fibrosis, altered tissue perfusion, oedema and iron levels. Proton density fat fraction mapping approaches allow measurement of lipid tissue in the organ of interest. Several studies have demonstrated their utility as early diagnostic biomarkers and their potential to bear prognostic implications. Conventionally, the quantification of these parameters by MRI relies on the acquisition of sequential scans, encoding and mapping only one parameter per scan. However, this methodology is time inefficient and suffers from the confounding effects of the relaxation parameters in each single map, limiting wider clinical and research applications. To address these limitations, several novel approaches have been proposed that encode multiple tissue parameters simultaneously, providing co-registered multiparametric information of the tissues of interest. This review aims to describe the multi-faceted myocardial and hepatic tissue alterations in cardiometabolic disease and to motivate the application of relaxometry and proton-density cardiac and liver tissue mapping techniques. Current approaches in myocardial and liver tissue characterization as well as latest technical developments in multiparametric quantitative MRI are included. Limitations and challenges of these novel approaches, and recommendations to facilitate clinical validation are also discussed.https://www.frontiersin.org/articles/10.3389/fcvm.2022.991383/fullcardiometabolic diseaseMRItissue characterizationmappingmultiparametric mapping |
| spellingShingle | Anastasia Fotaki Carlos Velasco Claudia Prieto Claudia Prieto Claudia Prieto Claudia Prieto René M. Botnar René M. Botnar René M. Botnar René M. Botnar Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches Frontiers in Cardiovascular Medicine cardiometabolic disease MRI tissue characterization mapping multiparametric mapping |
| title | Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches |
| title_full | Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches |
| title_fullStr | Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches |
| title_full_unstemmed | Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches |
| title_short | Quantitative MRI in cardiometabolic disease: From conventional cardiac and liver tissue mapping techniques to multi-parametric approaches |
| title_sort | quantitative mri in cardiometabolic disease from conventional cardiac and liver tissue mapping techniques to multi parametric approaches |
| topic | cardiometabolic disease MRI tissue characterization mapping multiparametric mapping |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2022.991383/full |
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