Your browser doesn't support javascript.
loading
Clinical Translation of Three-Dimensional Scar, Diffusion Tensor Imaging, Four-Dimensional Flow, and Quantitative Perfusion in Cardiac MRI: A Comprehensive Review.
Paddock, Sophie; Tsampasian, Vasiliki; Assadi, Hosamadin; Mota, Bruno Calife; Swift, Andrew J; Chowdhary, Amrit; Swoboda, Peter; Levelt, Eylem; Sammut, Eva; Dastidar, Amardeep; Broncano Cabrero, Jordi; Del Val, Javier Royuela; Malcolm, Paul; Sun, Julia; Ryding, Alisdair; Sawh, Chris; Greenwood, Richard; Hewson, David; Vassiliou, Vassilios; Garg, Pankaj.
Affiliation
  • Paddock S; Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
  • Tsampasian V; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Assadi H; Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
  • Mota BC; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
  • Swift AJ; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Chowdhary A; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
  • Swoboda P; Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
  • Levelt E; Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
  • Sammut E; Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
  • Dastidar A; Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom.
  • Broncano Cabrero J; Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom.
  • Del Val JR; Cardiothoracic Imaging Unit, Hospital San Juan De Dios, Ressalta, HT Medica, Córdoba, Spain.
  • Malcolm P; Cardiothoracic Imaging Unit, Hospital San Juan De Dios, Ressalta, HT Medica, Córdoba, Spain.
  • Sun J; Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
  • Ryding A; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Sawh C; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Greenwood R; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Hewson D; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Vassiliou V; Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
  • Garg P; Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
Front Cardiovasc Med ; 8: 682027, 2021.
Article in En | MEDLINE | ID: mdl-34307496
ABSTRACT
Cardiovascular magnetic resonance (CMR) imaging is a versatile tool that has established itself as the reference method for functional assessment and tissue characterisation. CMR helps to diagnose, monitor disease course and sub-phenotype disease states. Several emerging CMR methods have the potential to offer a personalised medicine approach to treatment. CMR tissue characterisation is used to assess myocardial oedema, inflammation or thrombus in various disease conditions. CMR derived scar maps have the potential to inform ablation therapy-both in atrial and ventricular arrhythmias. Quantitative CMR is pushing boundaries with motion corrections in tissue characterisation and first-pass perfusion. Advanced tissue characterisation by imaging the myocardial fibre orientation using diffusion tensor imaging (DTI), has also demonstrated novel insights in patients with cardiomyopathies. Enhanced flow assessment using four-dimensional flow (4D flow) CMR, where time is the fourth dimension, allows quantification of transvalvular flow to a high degree of accuracy for all four-valves within the same cardiac cycle. This review discusses these emerging methods and others in detail and gives the reader a foresight of how CMR will evolve into a powerful clinical tool in offering a precision medicine approach to treatment, diagnosis, and detection of disease.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Cardiovasc Med Year: 2021 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Cardiovasc Med Year: 2021 Document type: Article Affiliation country: Reino Unido
...