Literature DB >> 34634593

Regional end-systolic circumferential strain demonstrates compensatory segmental contractile function in patients with ST-segment elevation myocardial infarction.

Steve W Leung1, Theresa M Ratajczak1, Mohamed Abo-Aly2, Elica Shokri1, Ahmed Abdel-Latif1, Jonathan F Wenk3.   

Abstract

Myocardial strain has shown tremendous promise as a potential diagnostic tool for characterizing ventricular function. With regards to myocardial infarction, global circumferential strain (CS) can be used to assess overall function, while regional CS can identify local alterations in contractility. Currently, there is a lack of data related to regional strain in patients with ST-segment elevation myocardial infarction (STEMI). Thus, the goal of this study was to quantify regional strain patterns in STEMI and normal control patients, measuring both peak CS and end-systolic (ES) CS in the mid-ventricular region. This was done by conducting cardiac magnetic resonance (CMR) imaging acutely after STEMI patients underwent primary percutaneous coronary intervention. The CMR datasets were then analyzed using feature-tracking of the cine images. The patients were broken into three groups: (1) control patients (N = 18), (2) STEMI patients with ejection fraction (EF) ≥ 50% (N = 20), and (3) STEMI patients with EF < 50% (N = 20). The key result of the analysis was that ES CS detected a significant increase in the magnitude of strain in the non-infarcted tissue of STEMI patients with EF ≥ 50% when compared to STEMI patients with EF < 50%, whereas peak CS did not detect any differences. This implies that the tissue in this region is contracting more strongly compared to non-infarcted tissue in STEMI patients with EF < 50%. Thus, regional ES CS could potentially be utilized as a diagnostic tool for assessing STEMI patients, by detecting regional changes in contractility after PCI, which could assist in treatment planning.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac Magnetic Resonance; Feature Tracking; Left Ventricle

Mesh:

Year:  2021        PMID: 34634593      PMCID: PMC8671364          DOI: 10.1016/j.jbiomech.2021.110794

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.789


  21 in total

1.  Myocardial strain: can we finally measure contractility?

Authors:  T P Abraham; R A Nishimura
Journal:  J Am Coll Cardiol       Date:  2001-03-01       Impact factor: 24.094

2.  Cardiac magnetic resonance-tissue tracking for the early prediction of adverse left ventricular remodeling after ST-segment elevation myocardial infarction.

Authors:  Min Jae Cha; Jeong Hyun Lee; Hye Na Jung; Yiseul Kim; Yeon Hyeon Choe; Sung Mok Kim
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-03       Impact factor: 2.357

3.  Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction.

Authors:  Gaetano Nucifora; Daniele Muser; Chiara Tioni; Ranjit Shah; Joseph B Selvanayagam
Journal:  Int J Cardiol       Date:  2018-05-26       Impact factor: 4.164

4.  Prediction of functional recovery by cardiac magnetic resonance feature tracking imaging in first time ST-elevation myocardial infarction. Comparison to infarct size and transmurality by late gadolinium enhancement.

Authors:  Sebastian J Buss; Birgit Krautz; Nina Hofmann; Yannick Sander; Lukas Rust; Sorin Giusca; Christian Galuschky; Sebastian Seitz; Evangelos Giannitsis; Sven Pleger; Philip Raake; Patrick Most; Hugo A Katus; Grigorios Korosoglou
Journal:  Int J Cardiol       Date:  2015-01-07       Impact factor: 4.164

5.  Inter-vendor reproducibility and accuracy of segmental left ventricular strain measurements using CMR feature tracking.

Authors:  Monica Dobrovie; Manuel Barreiro-Pérez; Davide Curione; Rolf Symons; Piet Claus; Jens-Uwe Voigt; Jan Bogaert
Journal:  Eur Radiol       Date:  2019-07-11       Impact factor: 5.315

6.  Myocardial function in infarcted and remote regions early after infarction in man: assessment by magnetic resonance tagging and strain analysis.

Authors:  J T Marcus; M J Götte; A C Van Rossum; J P Kuijer; R M Heethaar; L Axel; C A Visser
Journal:  Magn Reson Med       Date:  1997-11       Impact factor: 4.668

7.  Prognostic Value of Strain by Tissue Tracking Cardiac Magnetic Resonance After ST-Segment Elevation Myocardial Infarction.

Authors:  Jose Gavara; Jose F Rodriguez-Palomares; Filipa Valente; Jose V Monmeneu; Maria P Lopez-Lereu; Clara Bonanad; Ignacio Ferreira-Gonzalez; Bruno Garcia Del Blanco; Julian Rodriguez-Garcia; Maria Mutuberria; Elena de Dios; Cesar Rios-Navarro; Nerea Perez-Sole; Paolo Racugno; Ana Paya; Gema Minana; Joaquim Canoves; Mauricio Pellicer; Francisco J Lopez-Fornas; Jose Barrabes; Arturo Evangelista; Julio Nunez; Francisco J Chorro; David Garcia-Dorado; Vicente Bodi
Journal:  JACC Cardiovasc Imaging       Date:  2017-12-13

8.  Comparison of cardiovascular magnetic resonance feature tracking and tagging for the assessment of left ventricular systolic strain in acute myocardial infarction.

Authors:  Jamal N Khan; Anvesha Singh; Sheraz A Nazir; Prathap Kanagala; Anthony H Gershlick; Gerry P McCann
Journal:  Eur J Radiol       Date:  2015-02-16       Impact factor: 3.528

9.  Feature-tracking myocardial strain in healthy adults- a magnetic resonance study at 3.0 tesla.

Authors:  Kenneth Mangion; Nicole M M Burke; Christie McComb; David Carrick; Rosemary Woodward; Colin Berry
Journal:  Sci Rep       Date:  2019-03-01       Impact factor: 4.379

10.  Regional cardiac dysfunction and dyssynchrony in a murine model of afterload stress.

Authors:  Michael Bauer; Susan Cheng; Kazumasa Unno; Fen-Chiung Lin; Ronglih Liao
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

View more
  2 in total

1.  Reproducibility of Systolic Strain in Mice Using Cardiac Magnetic Resonance Feature Tracking of Black-Blood Cine Images.

Authors:  Hossein Sharifi; Charles K Mann; Ahmed Z Noor; Amir Nikou; Connor R Ferguson; Zhan-Qiu Liu; Alexus L Rockward; Faruk Moonschi; Kenneth S Campbell; Steve W Leung; Jonathan F Wenk
Journal:  Cardiovasc Eng Technol       Date:  2022-04-08       Impact factor: 2.305

2.  Feasibility of one breath-hold cardiovascular magnetic resonance compressed sensing cine for left ventricular strain analysis.

Authors:  Xiaorong Chen; Jiangfeng Pan; Yi Hu; Hongjie Hu; Yonghao Pan
Journal:  Front Cardiovasc Med       Date:  2022-08-12
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.