Literature DB >> 30929101

Two-dimensional and three-dimensional cardiac magnetic resonance feature-tracking myocardial strain analysis in acute myocarditis patients with preserved ejection fraction.

Marco Gatti1, Anna Palmisano2,3, Riccardo Faletti4, Giulia Benedetti2,3, Laura Bergamasco1, Fabio Bioletto1, Giovanni Peretto3,5, Simone Sala5, Francesco De Cobelli2,3, Paolo Fonio1, Antonio Esposito2,3.   

Abstract

To explore the potential role of two- (2D) and three-dimensional (3D) cardiac magnetic resonance (CMR) feature tracking (FT) myocardial strain analysis in identifying sub-clinical myocardial systolic and diastolic dysfunction in acute myocarditis patients with preserved ejection fraction (EF). Prospective two centre study-control study. Thirty patients (9 female, 37.2 ± 11.8 years.) with a CMR diagnosis of acute myocarditis according to the Lake Louise Criteria and preserved EF (≥ 55%) were included in the analysis. CMR data from 24 healthy volunteers (11 female, 36.2 ± 12.5 years.) served as control. 2D and 3D LV tissue tracking analysis were performed in a random fashion by two double-blinded operators. Variables were checked for normality and analysed with parametric test. The baseline characteristics of myocarditis patients with preserved EF and the healthy volunteers were perfectly comparable, except for the LV mass index and T1 and T2 mapping values (p < 0.001). The results of the interobserver variability in the 2D and 3D LV CMR FT myocardial strain analysis were p > 0.42, ICC > 0.80 and η2 > 0.98. There was no statistical difference in 2D and 3D global radial, circumferential and longitudinal strain peak (%) and both systolic and diastolic strain rate (1/s) between acute myocarditis with preserved EF and healthy volunteers (all p = ns). There were no difference in 2D and 3D global radial, circumferential and longitudinal strain peak and both systolic and diastolic strain rate of the LV between acute myocarditis patients with preserved ejection fraction and healthy volunteers.

Entities:  

Keywords:  Acute myocarditis; Cardiovascular magnetic resonance; Diastolic dysfunction; Feature tracking; Myocardial strain analysis

Mesh:

Year:  2019        PMID: 30929101     DOI: 10.1007/s10554-019-01588-8

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  14 in total

1.  Feature tracking myocardial strain analysis in patients with bileaflet mitral valve prolapse: relationship with LGE and arrhythmias.

Authors:  Marco Gatti; Anna Palmisano; Antonio Esposito; Stefano Fiore; Caterina Beatrice Monti; Alessandro Andreis; Lorenzo Pistelli; Pasquale Vergara; Laura Bergamasco; Carla Giustetto; Francesco De Cobelli; Paolo Fonio; Riccardo Faletti
Journal:  Eur Radiol       Date:  2021-04-19       Impact factor: 5.315

2.  Cardiovascular imaging 2019 in the International Journal of Cardiovascular Imaging.

Authors:  Johan H C Reiber; Gabriel T R Pereira; Luis A P Dallan; Hiram G Bezerra; Johan De Sutter; Arthur E Stillman; Nico R L Van de Veire; Joachim Lotz
Journal:  Int J Cardiovasc Imaging       Date:  2020-05       Impact factor: 2.357

3.  Feature tracking and mapping analysis of myocardial response to improved perfusion reserve in patients with refractory angina treated by coronary sinus Reducer implantation: a CMR study.

Authors:  Anna Palmisano; Francesco Giannini; Paola Rancoita; Guglielmo Gallone; Giulia Benedetti; Luca Baldetti; Georgios Tzanis; Davide Vignale; Caterina Monti; Francesco Ponticelli; Marco Ancona; Matteo Montorfano; Alessandro Del Maschio; Francesco De Cobelli; Antonio Colombo; Antonio Esposito
Journal:  Int J Cardiovasc Imaging       Date:  2020-08-28       Impact factor: 2.357

4.  Association between right ventricular strain and outcomes in patients with dilated cardiomyopathy.

Authors:  Tong Liu; Yifeng Gao; Hui Wang; Zhen Zhou; Rui Wang; San-Shuai Chang; Yuanyuan Liu; Yuqing Sun; Hongliang Rui; Guang Yang; David Firmin; Jianzeng Dong; Lei Xu
Journal:  Heart       Date:  2020-11-02       Impact factor: 5.994

5.  Tissue-tracking in the assessment of late gadolinium enhancement in myocarditis and myocardial infarction.

Authors:  Sara Doimo; Fabrizio Ricci; Nay Aung; Jackie Cooper; Redha Boubertakh; Mihir M Sanghvi; Gianfranco Sinagra; Steffen E Petersen
Journal:  Magn Reson Imaging       Date:  2020-08-25       Impact factor: 3.130

6.  Quantitative comparison of two-dimensional and three-dimensional strain measurement using MRI feature tracking in repair Fontan patients and normal child volunteers.

Authors:  Liwei Hu; Qian Wang; Barton P Gregory; Rong Zhen Ouyang; Aimin Sun; Chen Guo; Tongtong Han; Yumin Zhong
Journal:  BMC Med Imaging       Date:  2020-01-28       Impact factor: 1.930

Review 7.  Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle?

Authors:  Torben Lange; Andreas Schuster
Journal:  Curr Heart Fail Rep       Date:  2021-05-01

8.  Cardiovascular magnetic resonance native T2 and T2* quantitative values for cardiomyopathies and heart transplantations: a systematic review and meta-analysis.

Authors:  G J H Snel; M van den Boomen; L M Hernandez; C T Nguyen; D E Sosnovik; B K Velthuis; R H J A Slart; R J H Borra; N H J Prakken
Journal:  J Cardiovasc Magn Reson       Date:  2020-05-11       Impact factor: 5.364

Review 9.  Cardiac magnetic resonance imaging: the future is bright.

Authors:  Karthik Seetharam; Stamatios Lerakis
Journal:  F1000Res       Date:  2019-09-13

10.  Cardiac magnetic resonance in recovering COVID-19 patients. Feature tracking and mapping analysis to detect persistent myocardial involvement.

Authors:  Javier Urmeneta Ulloa; Vicente Martínez de Vega; Oscar Salvador Montañés; Ana Álvarez Vázquez; Cristina Sánchez-Enrique; Sergio Hernández Jiménez; Francisco Daniel Sancho García; Luis López Ruiz; Manuel Recio Rodríguez; Gonzalo Pizarro; Daniel Carnevali Ruiz; José Ángel Cabrera
Journal:  Int J Cardiol Heart Vasc       Date:  2021-08-03
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