Looking for the Right Diagnosis? Cardiovascular Magnetic Resonance Imaging Can Help Differentiate Cardiomyopathies - 06/12/21

Doi : 10.1016/j.hlc.2021.07.020

Rebecca Kozor, MBBS, PhD ^a,^b,^⁎ , Ben Cole, MBBCh, PhD ^a, Martin Ugander, MD, PhD ^b,^c, James C. Moon, MBBCh, MD ^d,^e
^a Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia
^b Kolling Institute and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
^c Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden
^d Barts Heart Centre, London, UK
^e Institute of Cardiovascular Science, University College London, London, UK

^∗Corresponding author at: Dr Rebecca Kozor, BSc (Med), MBBS, PhD, FRACP, FCSANZ, Senior Lecturer, Faculty of Medicine and Health, University of Sydney, Cardiologist, Royal North Shore Hospital, North Shore Private Hospital, Kolling Building, Level 12, Royal North Shore Hospital, St Leonards, NSW 2065, AustraliaSenior LecturerFaculty of Medicine and HealthUniversity of Sydney, CardiologistRoyal North Shore HospitalNorth Shore Private HospitalKolling BuildingLevel 12Royal North Shore HospitalSt LeonardsNSW2065Australia

Abstract

Differentiating cardiomyopathies is a common clinical quandary in cardiology. Getting the right diagnosis is important for guiding patient management and providing prognosis. Incorrect or uncertain diagnoses can lead to further unnecessary investigations and/or treatment decisions applied inappropriately, which can have consequences for both the patient and health care costs. Cardiovascular magnetic resonance (CMR) imaging offers strength here due to its precision and breadth in assessing cardiac function and tissue characterisation. This review aims to raise awareness among cardiologists and physicians of the important insights provided by CMR—insights that can improve diagnosis and guide management, as well as aid in risk stratification, in different cardiomyopathies.

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Keywords : Cardiovascular magnetic resonance, Cardiomyopathy, Tissue characterisation