Literature DB >> 24368011

Quantitative analysis of left ventricular strain using cardiac computed tomography.

Sebastian J Buss1, Felix Schulz2, Derliz Mereles2, Waldemar Hosch3, Christian Galuschky4, Georg Schummers4, Daniel Stapf4, Nina Hofmann2, Evangelos Giannitsis2, Stefan E Hardt2, Hans-Ulrich Kauczor3, Hugo A Katus2, Grigorios Korosoglou2.   

Abstract

OBJECTIVES: To investigate whether cardiac computed tomography (CCT) can determine left ventricular (LV) radial, circumferential and longitudinal myocardial deformation in comparison to two-dimensional echocardiography in patients with congestive heart failure.
BACKGROUND: Echocardiography allows for accurate assessment of strain with high temporal resolution. A reduced strain is associated with a poor prognosis in cardiomyopathies. However, strain imaging is limited in patients with poor echogenic windows, so that, in selected cases, tomographic imaging techniques may be preferable for the evaluation of myocardial deformation.
METHODS: Consecutive patients (n=27) with congestive heart failure who underwent a clinically indicated ECG-gated contrast-enhanced 64-slice dual-source CCT for the evaluation of the cardiac veins prior to cardiac resynchronization therapy (CRT) were included. All patients underwent additional echocardiography. LV radial, circumferential and longitudinal strain and strain rates were analyzed in identical midventricular short axis, 4-, 2- and 3-chamber views for both modalities using the same prototype software algorithm (feature tracking). Time for analysis was assessed for both modalities.
RESULTS: Close correlations were observed for both techniques regarding global strain (r=0.93, r=0.87 and r=0.84 for radial, circumferential and longitudinal strain, respectively, p<0.001 for all). Similar trends were observed for regional radial, longitudinal and circumferential strain (r=0.88, r=0.84 and r=0.94, respectively, p<0.001 for all). The number of non-diagnostic myocardial segments was significantly higher with echocardiography than with CCT (9.6% versus 1.9%, p<0.001). In addition, the required time for complete quantitative strain analysis was significantly shorter for CCT compared to echocardiography (877±119 s per patient versus 1105±258 s per patient, p<0.001).
CONCLUSION: Quantitative assessment of LV strain is feasible using CCT. This technique may represent a valuable alternative for the assessment of myocardial deformation in selected patients with poor echogenic windows and general contraindications for magnetic resonance imaging.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac CT; Congestive heart failure; Left ventricular function; Two-dimensional strain echocardiography

Mesh:

Year:  2013        PMID: 24368011     DOI: 10.1016/j.ejrad.2013.11.026

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  13 in total

1.  Automated 4-dimensional regional myocardial strain evaluation using cardiac computed tomography.

Authors:  Zvi Peled; Yechiel Lamash; Shemy Carasso; Anath Fischer; Yoram Agmon; Diab Mutlak; Doron Aronson; Gil Bolotin; Jonathan Lessick
Journal:  Int J Cardiovasc Imaging       Date:  2019-09-19       Impact factor: 2.357

Review 2.  Computed tomography of cardiomyopathies.

Authors:  Kevin Kalisz; Prabhakar Rajiah
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

3.  Regional myocardial strain measurements from 4DCT in patients with normal LV function.

Authors:  Elliot R McVeigh; Amir Pourmorteza; Michael Guttman; Veit Sandfort; Francisco Contijoch; Suhas Budhiraja; Zhennong Chen; David A Bluemke; Marcus Y Chen
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-05-09

Review 4.  Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

Authors:  Joyce Peper; Dominika Suchá; Martin Swaans; Tim Leiner
Journal:  Br J Radiol       Date:  2020-08-12       Impact factor: 3.039

5.  Clinical feasibility and validation of 3D principal strain analysis from cine MRI: comparison to 2D strain by MRI and 3D speckle tracking echocardiography.

Authors:  Alessandro Satriano; Bobak Heydari; Mariam Narous; Derek V Exner; Yoko Mikami; Monica M Attwood; John V Tyberg; Carmen P Lydell; Andrew G Howarth; Nowell M Fine; James A White
Journal:  Int J Cardiovasc Imaging       Date:  2017-07-06       Impact factor: 2.357

Review 6.  Strain imaging using cardiac magnetic resonance.

Authors:  A Scatteia; A Baritussio; C Bucciarelli-Ducci
Journal:  Heart Fail Rev       Date:  2017-07       Impact factor: 4.214

Review 7.  Novel plasma and imaging biomarkers in heart failure with preserved ejection fraction.

Authors:  Prathap Kanagala; Iain B Squire; Leong L Ng; Gerry P McCann
Journal:  Int J Cardiol Heart Vasc       Date:  2015-07-30

8.  Left ventricular global longitudinal strain in bicupsid aortic valve patients: head-to-head comparison between computed tomography, 4D flow cardiovascular magnetic resonance and speckle-tracking echocardiography.

Authors:  Allard T van den Hoven; Sultan Yilmazer; Raluca G Chelu; Roderick W J van Grootel; Savine C S Minderhoud; Lidia R Bons; An M van Berendoncks; Anthonie L Duijnhouwer; Hans-Marc J Siebelink; Annemien E van den Bosch; Ricardo P J Budde; Jolien W Roos-Hesselink; Alexander Hirsch
Journal:  Int J Cardiovasc Imaging       Date:  2020-05-25       Impact factor: 2.357

Review 9.  Myocardial Assessment with Cardiac CT: Ischemic Heart Disease and Beyond.

Authors:  Bryan C Ramsey; Emilio Fentanes; Andrew D Choi; Kelley R Branch; Dustin M Thomas
Journal:  Curr Cardiovasc Imaging Rep       Date:  2018-06-02

10.  Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis.

Authors:  Emilija Miskinyte; Paulius Bucius; Jennifer Erley; Seyedeh Mahsa Zamani; Radu Tanacli; Christian Stehning; Christopher Schneeweis; Tomas Lapinskas; Burkert Pieske; Volkmar Falk; Rolf Gebker; Gianni Pedrizzetti; Natalia Solowjowa; Sebastian Kelle
Journal:  J Clin Med       Date:  2019-09-10       Impact factor: 4.241

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