Literature DB >> 25853636

Regional Strain Analysis with Multidetector CT in a Swine Cardiomyopathy Model: Relationship to Cardiac MR Tagging and Myocardial Fibrosis.

Michael W Tee1, Samuel Won1, Fabio S Raman1, Colin Yi1, Davis M Vigneault1, Cynthia Davies-Venn1, Songtao Liu1, Albert C Lardo1, João A C Lima1, J Alison Noble1, Craig A Emter1, David A Bluemke1.   

Abstract

PURPOSE: To investigate the use of cine multidetector computed tomography (CT) to detect changes in myocardial function in a swine cardiomyopathy model.
MATERIALS AND METHODS: All animal protocols were in accordance with the Principles for the Utilization and Care of Vertebrate Animals Used in Testing Research and Training and approved by the University of Missouri Animal Care and Use Committee. Strain analysis of cine multidetector CT images of the left ventricle was optimized and analyzed with feature-tracking software. The standard of reference for strain was harmonic phase analysis of tagged cardiac magnetic resonance (MR) images at 3.0 T. An animal model of cardiomyopathy was imaged with both cardiac MR and 320-section multidetector CT at a temporal resolution of less than 50 msec. Three groups were evaluated: control group (n = 5), aortic-banded myocardial hypertrophy group (n = 5), and aortic-banded and cyclosporine A- treated cardiomyopathy group (n = 5). Histologic samples of the myocardium were obtained for comparison with strain results. Dunnett test was used for comparisons of the concentric remodeling group and eccentric remodeling group against the control group.
RESULTS: Collagen volume fraction ranged from 10.9% to 14.2%; lower collagen fraction values were seen in the control group than in the cardiomyopathy groups (P < .05). Ejection fraction and conventional metrics showed no significant differences between control and cardiomyopathy groups. Radial strain for both cardiac MR and multidetector CT was abnormal in both concentric (cardiac MR 25.1% ± 4.2; multidetector CT 28.4% ± 2.8) and eccentric (cardiac MR 23.2% ± 2.0; multidetector CT 24.4% ± 2.1) remodeling groups relative to control group (cardiac MR 18.9% ± 1.9, multidetector CT 22.0% ± 1.7, P < .05, all comparisons). Strain values for multidetector CT versus cardiac MR showed better agreement in the radial direction than in the circumferential direction (r = 0.55, P = .03 vs r = 0.40, P = .13, respectively).
CONCLUSION: Multidetector CT strain analysis has potential to identify regional wall-motion abnormalities in cardiomyopathy that is not otherwise detected using conventional metrics of myocardial function.

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Year:  2015        PMID: 25853636      PMCID: PMC4613883          DOI: 10.1148/radiol.2015142339

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  25 in total

Review 1.  Cardiac computed tomography--evidence, limitations and clinical application.

Authors:  Christian R Hamilton-Craig; Daniel Friedman; Stephan Achenbach
Journal:  Heart Lung Circ       Date:  2011-10-22       Impact factor: 2.975

Review 2.  Accuracy of multi-slice computed tomography for measurement of left ventricular ejection fraction compared with cardiac magnetic resonance imaging and two-dimensional transthoracic echocardiography: a systematic review and meta-analysis.

Authors:  Camilla Asferg; Lotte Usinger; Thomas S Kristensen; Jawdat Abdulla
Journal:  Eur J Radiol       Date:  2012-02-29       Impact factor: 3.528

3.  Estimation of global and regional cardiac function using 64-slice computed tomography: a comparison study with echocardiography, gated-SPECT and cardiovascular magnetic resonance.

Authors:  Yen-Wen Wu; Eiji Tadamura; Masaki Yamamuro; Shotaro Kanao; Satoshi Okayama; Neiko Ozasa; Masanao Toma; Takeshi Kimura; Masashi Komeda; Kaori Togashi
Journal:  Int J Cardiol       Date:  2007-08-10       Impact factor: 4.164

Review 4.  Imaging techniques for cardiac strain and deformation: comparison of echocardiography, cardiac magnetic resonance and cardiac computed tomography.

Authors:  Michael Tee; J Alison Noble; David A Bluemke
Journal:  Expert Rev Cardiovasc Ther       Date:  2013-02

5.  Imaging: myocardial thinning is not always transmural scarring.

Authors:  Jeroen J Bax
Journal:  Nat Rev Cardiol       Date:  2013-05-07       Impact factor: 32.419

6.  A new method for cardiac computed tomography regional function assessment: stretch quantifier for endocardial engraved zones (SQUEEZ).

Authors:  Amir Pourmorteza; Karl H Schuleri; Daniel A Herzka; Albert C Lardo; Elliot R McVeigh
Journal:  Circ Cardiovasc Imaging       Date:  2012-02-16       Impact factor: 7.792

7.  Usefulness of radial strain mapping by multidetector computer tomography to quantify regional myocardial function in patients with healed myocardial infarction.

Authors:  Thomas M Helle-Valle; Wen-Chung Yu; Verônica R S Fernandes; Boaz D Rosen; João A C Lima
Journal:  Am J Cardiol       Date:  2010-08-15       Impact factor: 2.778

Review 8.  Myocardial tissue tagging with cardiovascular magnetic resonance.

Authors:  Monda L Shehata; Susan Cheng; Nael F Osman; David A Bluemke; João A C Lima
Journal:  J Cardiovasc Magn Reson       Date:  2009-12-21       Impact factor: 5.364

9.  Gender differences and aging: effects on the human heart.

Authors:  G Olivetti; G Giordano; D Corradi; M Melissari; C Lagrasta; S R Gambert; P Anversa
Journal:  J Am Coll Cardiol       Date:  1995-10       Impact factor: 24.094

10.  A new twist on an old idea: a two-dimensional speckle tracking assessment of cyclosporine as a therapeutic alternative for heart failure with preserved ejection fraction.

Authors:  Jessica A Hiemstra; Songtao Liu; Mark A Ahlman; Karl H Schuleri; Albert C Lardo; Christopher P Baines; Kevin C Dellsperger; David A Bluemke; Craig A Emter
Journal:  Physiol Rep       Date:  2013-12-05
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  12 in total

1.  SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines.

Authors:  Davis M Vigneault; Amir Pourmorteza; Marvin L Thomas; David A Bluemke; J Alison Noble
Journal:  Med Image Anal       Date:  2018-03-29       Impact factor: 8.545

2.  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

3.  Chronic exercise training prevents coronary artery stiffening in aortic-banded miniswine: role of perivascular adipose-derived advanced glycation end products.

Authors:  An Ouyang; T Dylan Olver; Craig A Emter; Bradley S Fleenor
Journal:  J Appl Physiol (1985)       Date:  2019-07-11

4.  Three-dimensional maximum principal strain using cardiac computed tomography for identification of myocardial infarction.

Authors:  Yuki Tanabe; Teruhito Kido; Akira Kurata; Shun Sawada; Hiroshi Suekuni; Tomoyuki Kido; Takahiro Yokoi; Teruyoshi Uetani; Katsuji Inoue; Masao Miyagawa; Teruhito Mochizuki
Journal:  Eur Radiol       Date:  2016-08-19       Impact factor: 5.315

5.  Correlation of CT-based regional cardiac function (SQUEEZ) with myocardial strain calculated from tagged MRI: an experimental study.

Authors:  Amir Pourmorteza; Marcus Y Chen; Jesper van der Pals; Andrew E Arai; Elliot R McVeigh
Journal:  Int J Cardiovasc Imaging       Date:  2015-12-26       Impact factor: 2.357

Review 6.  Cardiac Computed Tomography - More Than Coronary Arteries? A Clinical Update.

Authors:  Jana Taron; Borek Foldyna; Parastou Eslami; Udo Hoffmann; Konstantin Nikolaou; Fabian Bamberg
Journal:  Rofo       Date:  2019-06-27

Review 7.  Myocardial hypertrophy and its role in heart failure with preserved ejection fraction.

Authors:  Frank R Heinzel; Felix Hohendanner; Ge Jin; Simon Sedej; Frank Edelmann
Journal:  J Appl Physiol (1985)       Date:  2015-07-16

8.  The Incremental Effect of Obesity on Myocardial Fibrosis In Patients with Aortic Stenosis.

Authors:  Se-Jung Yoon
Journal:  J Cardiovasc Ultrasound       Date:  2016-12-28

9.  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

10.  Western Diet-Fed, Aortic-Banded Ossabaw Swine: A Preclinical Model of Cardio-Metabolic Heart Failure.

Authors:  T Dylan Olver; Jenna C Edwards; Thomas J Jurrissen; Adam B Veteto; John L Jones; Chen Gao; Christoph Rau; Chad M Warren; Paula J Klutho; Linda Alex; Stephanie C Ferreira-Nichols; Jan R Ivey; Pamela K Thorne; Kerry S McDonald; Maike Krenz; Christopher P Baines; R John Solaro; Yibin Wang; David A Ford; Timothy L Domeier; Jaume Padilla; R Scott Rector; Craig A Emter
Journal:  JACC Basic Transl Sci       Date:  2019-06-24
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