Literature DB >> 24412355

The emerging role of cardiovascular MRI for risk stratification in hypertrophic cardiomyopathy.

E T D Hoey1, J K Teoh2, I Das3, A Ganeshan3, H Simpson2, R W Watkin2.   

Abstract

Hypertrophic cardiomyopathy (HCM) is the most common inheritable cardiovascular disorder. Although many HCM patients remain asymptomatic, sudden death (SD) can occur as the initial manifestation of the disease. It has been hypothesized that myocardial architectural disorganization and scarring represent an unstable electrophysiological substrate that creates susceptibility to malignant ventricular arrhythmias. Cardiovascular magnetic resonance imaging (CMR) is widely used for the diagnosis of HCM, especially in patients with an incomplete or inconclusive echocardiography study. CMR can provide precise non-invasive assessment of biventricular function, wall thickness, and assessment of myocardial fibrosis, using inversion recovery gadolinium-enhanced sequences. CMR is also one of the most promising avenues of research in HCM, and in recent years, has provided many new insights and identified a number of potential adverse prognostic indicators for SD. Future work is still needed to integrate CMR findings into traditional risk assessment algorithms. This paper reviews the evolving role of CMR for risk stratification in HCM including assessment of myocardial hypertrophy, fibrosis and ischaemia.
Copyright © 2013 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 24412355     DOI: 10.1016/j.crad.2013.11.012

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  3 in total

1.  Clinics in diagnostic imaging (189). Acute phase cardiac sarcoidosis (CS).

Authors:  Sumer Nrupendra Shikhare; Ashish Chawla; Ree Nee Khoo; Wilfred Cg Peh
Journal:  Singapore Med J       Date:  2018-08       Impact factor: 1.858

Review 2.  Cardiac Magnetic Resonance and Computed Tomography in Hypertrophic Cardiomyopathy: an Update.

Authors:  Diogo Costa Leandro de Oliveira; Fernanda Boldrini Assunção; Alair Agusto Sarmet Moreira Damas Dos Santos; Marcelo Souto Nacif
Journal:  Arq Bras Cardiol       Date:  2016-06-10       Impact factor: 2.000

3.  Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning.

Authors:  Matej Pičulin; Tim Smole; Bojan Žunkovič; Enja Kokalj; Marko Robnik-Šikonja; Matjaž Kukar; Dimitrios I Fotiadis; Vasileios C Pezoulas; Nikolaos S Tachos; Fausto Barlocco; Francesco Mazzarotto; Dejana Popović; Lars S Maier; Lazar Velicki; Iacopo Olivotto; Guy A MacGowan; Djordje G Jakovljević; Nenad Filipović; Zoran Bosnić
Journal:  JMIR Med Inform       Date:  2022-02-02
  3 in total

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