Literature DB >> 26699113

Tissue Tracking Technology for Assessing Cardiac Mechanics: Principles, Normal Values, and Clinical Applications.

Piet Claus1, Alaa Mabrouk Salem Omar2, Gianni Pedrizzetti3, Partho P Sengupta4, Eike Nagel5.   

Abstract

Tissue tracking technologies such as speckle tracking echocardiography and feature tracking cardiac magnetic resonance have enhanced the noninvasive assessment of myocardial deformation in clinical research and clinical practice. The widespread enthusiasm for using tissue tracking techniques in research and clinical practice stems from the ready applicability of these technologies to routine echocardiographic or cardiac magnetic resonance images. The technology is common to both modalities, and derived parameters to describe myocardial mechanics are the similar, albeit with different accuracies. We provide an overview of the normal values and reproducibility of the clinically applicable parameters, together with their clinical validation. The use of these technologies in different clinical scenarios, and the additive value to current imaging diagnostics are discussed.
Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiac mechanics; feature-tracking cardiac magnetic resonance imaging; myocardial function; speckle tracking echocardiography

Mesh:

Year:  2015        PMID: 26699113     DOI: 10.1016/j.jcmg.2015.11.001

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  110 in total

1.  Role of CMR feature-tracking derived left ventricular strain in predicting myocardial iron overload and assessing myocardial contractile dysfunction in patients with thalassemia major.

Authors:  Vineeta Ojha; Kartik P Ganga; Tulika Seth; Ambuj Roy; Nitish Naik; Priya Jagia; Gurpreet S Gulati; Sanjeev Kumar; Sanjiv Sharma
Journal:  Eur Radiol       Date:  2021-03-15       Impact factor: 5.315

Review 2.  New Cardiac Imaging Algorithms to Diagnose Constrictive Pericarditis Versus Restrictive Cardiomyopathy.

Authors:  Ahmad Mahmoud; Manish Bansal; Partho P Sengupta
Journal:  Curr Cardiol Rep       Date:  2017-05       Impact factor: 2.931

3.  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

4.  Global Longitudinal Shortening: A Positive Step Towards Reducing Confusion Surrounding Global Longitudinal Strain.

Authors:  Frank A Flachskampf; Ron Blankstein; Paul A Grayburn; Christopher M Kramer; Raymond Y K Kwong; Thomas H Marwick; Eike Nagel; Partho P Sengupta; William A Zoghbi; Y Chandrashekhar
Journal:  JACC Cardiovasc Imaging       Date:  2019-08

5.  Changes in global longitudinal strain in renal transplant recipients following 12 months of exercise.

Authors:  Minetti Enrico; Riggs Klika; Chiara Ingletto; Gabriele Mascherini; Gianni Pedrizzetti; Laura Stefani
Journal:  Intern Emerg Med       Date:  2018-06-20       Impact factor: 3.397

6.  Usefulness of Left Ventricular Strain by Cardiac Magnetic Resonance Feature-Tracking to Predict Cardiovascular Events in Patients With and Without Heart Failure.

Authors:  Mayank Sardana; Prasad Konda; Zeba Hashmath; Garrett Oldland; Swetha Gaddam; Rachana Miller; Vaibhav Satija; Bilal Ansari; Jonathan Lee; Anique Mustafa; Scott R Akers; Julio A Chirinos
Journal:  Am J Cardiol       Date:  2019-01-25       Impact factor: 2.778

7.  CardIAc: an open-source application for myocardial strain analysis.

Authors:  Ariel Hernán Curiale; Agustín Bernardo; Rodrigo Cárdenas; German Mato
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-11-16       Impact factor: 2.924

8.  Correlation between left ventricular myocardial strain and left ventricular geometry in healthy adults: a cardiovascular magnetic resonance-feature tracking study.

Authors:  Zhen Zhang; Qiaozhi Ma; Lizhen Cao; Zhiwei Zhao; Jun Zhao; Qing Lu; Linan Zeng; Mingzhu Zhang; Gerald M Pohost; Kuncheng Li
Journal:  Int J Cardiovasc Imaging       Date:  2019-08-12       Impact factor: 2.357

9.  Identification of cardiovascular abnormalities by multiparametric magnetic resonance imaging in end-stage renal disease patients with preserved left ventricular ejection fraction.

Authors:  Ling Lin; Qiuxia Xie; Mei Zheng; Xuhui Zhou; Ilona A Dekkers; Qian Tao; Hildo J Lamb
Journal:  Eur Radiol       Date:  2021-02-24       Impact factor: 5.315

10.  Prediction of infarct size and adverse cardiac outcomes by tissue tracking-cardiac magnetic resonance imaging in ST-segment elevation myocardial infarction.

Authors:  Yeonyee E Yoon; Si-Hyuck Kang; Hong-Mi Choi; Seonji Jeong; Ji Min Sung; Sang-Eun Lee; Injeong Cho; Goo-Yeong Cho; Hyuk-Jae Chang; Eun Ju Chun
Journal:  Eur Radiol       Date:  2018-02-15       Impact factor: 5.315

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