Literature DB >> 30457480

Circumferential Strain Predicts Major Adverse Cardiovascular Events Following an Acute ST-Segment-Elevation Myocardial Infarction.

Kenneth Mangion1, David Carrick1, Jaclyn Carberry1, Ahmed Mahrous1, Christie McComb1, Keith G Oldroyd1, Hany Eteiba1, Mitchell Lindsay1, Margaret McEntegart1, Stuart Hood1, Mark C Petrie1, Stuart Watkins1, Andrew Davie1, Xiaodong Zhong1, Frederick H Epstein1, Caroline E Haig1, Colin Berry1.   

Abstract

Purpose To investigate the prognostic value of circumferential left ventricular (LV) strain measured by using cardiac MRI for prediction of major adverse cardiac events (MACE) following an acute ST-segment-elevation myocardial infarction (STEMI). Materials and Methods Participants with acute STEMI were prospectively enrolled from May 11, 2011, to November 22, 2012. Cardiac MRI was performed at 1.5 T during the index hospitalization. Displacement encoding with stimulated echoes (DENSE) and feature tracking of cine cardiac MRI was used to assess circumferential LV strain. MACE that occurred after discharge were independently assessed by cardiologists blinded to the baseline observations. Results A total of 259 participants (mean age, 58 years ± 11 [standard deviation]; 198 men [mean age, 58 years ± 11] and 61 women [mean age, 58 years ± 12]) underwent cardiac MRI 2.2 days ± 1.9 after STEMI. Average infarct size was 18% ± 13 of LV mass and circumferential strain was -13% ± 3 (DENSE method) and -24% ± 7 (feature- tracking method). Fifty-one percent (131 of 259 participants) had presence of microvascular obstruction. During a median follow-up period of 4 years, 8% (21 of 259) experienced MACE. Area under the curve (AUC) for DENSE was different from that of feature tracking (AUC, 0.76 vs 0.62; P = .03). AUC for DENSE was similar to that of initial infarct size (P = .06) and extent of microvascular obstruction (P = .08). DENSE-derived strain provided incremental prognostic benefit over infarct size for prediction of MACE (hazard ratio, 1.3; P < .01). Conclusion Circumferential strain has independent prognostic importance in study participants with acute ST-segment-elevation myocardial infarction. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Kramer in this issue.

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Year:  2018        PMID: 30457480     DOI: 10.1148/radiol.2018181253

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


  12 in total

1.  Application of Hybrid Matrix Metalloproteinase-Targeted and Dynamic 201Tl Single-Photon Emission Computed Tomography/Computed Tomography Imaging for Evaluation of Early Post-Myocardial Infarction Remodeling.

Authors:  Stephanie L Thorn; Shayne C Barlow; Attila Feher; Mitchel R Stacy; Heather Doviak; Julia Jacobs; Kia Zellars; Jennifer M Renaud; Ran Klein; Robert A deKemp; Aarif Y Khakoo; TaeWeon Lee; Francis G Spinale; Albert J Sinusas
Journal:  Circ Cardiovasc Imaging       Date:  2019-11-11       Impact factor: 7.792

2.  Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking.

Authors:  Ashish Manohar; Gabrielle M Colvert; Juan E Ortuño; Zhennong Chen; James Yang; Brendan T Colvert; W Patricia Bandettini; Marcus Y Chen; María J Ledesma-Carbayo; Elliot R McVeigh
Journal:  Med Phys       Date:  2022-07-06       Impact factor: 4.506

3.  Defining the optimal temporal and spatial resolution for cardiovascular magnetic resonance imaging feature tracking.

Authors:  Sebastian Kelle; Andreas Schuster; Sören J Backhaus; Georg Metschies; Marcus Billing; Jonas Schmidt-Rimpler; Johannes T Kowallick; Roman J Gertz; Tomas Lapinskas; Elisabeth Pieske-Kraigher; Burkert Pieske; Joachim Lotz; Boris Bigalke; Shelby Kutty; Gerd Hasenfuß
Journal:  J Cardiovasc Magn Reson       Date:  2021-05-17       Impact factor: 5.364

4.  Quantification of strain analysis and late gadolinium enhancement in coronary chronic total occlusion: a cardiovascular magnetic resonance imaging follow-up study.

Authors:  Lijun Zhang; Jinfan Tian; Xueyao Yang; Jielin Liu; Yi He; Xiantao Song
Journal:  Quant Imaging Med Surg       Date:  2022-02

5.  Strain Measures Predict Outcome after ST-Segment-Elevation Myocardial Infarction: Now What?

Authors:  Christopher M Kramer
Journal:  Radiology       Date:  2018-11-20       Impact factor: 29.146

6.  Cardiovascular magnetic resonance-derived left ventricular mechanics-strain, cardiac power and end-systolic elastance under various inotropic states in swine.

Authors:  A Faragli; R Tanacli; C Kolp; D Abawi; T Lapinskas; C Stehning; B Schnackenburg; F P Lo Muzio; L Fassina; B Pieske; E Nagel; H Post; S Kelle; A Alogna
Journal:  J Cardiovasc Magn Reson       Date:  2020-11-30       Impact factor: 5.364

7.  Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects-influence of segmentation and analysis software.

Authors:  Carolin Lim; Edyta Blaszczyk; Leili Riazy; Stephanie Wiesemann; Johannes Schüler; Florian von Knobelsdorff-Brenkenhoff; Jeanette Schulz-Menger
Journal:  Eur Radiol       Date:  2020-12-04       Impact factor: 5.315

8.  Effect of cardiosphere-derived cells on segmental myocardial function after myocardial infarction: ALLSTAR randomised clinical trial.

Authors:  Mohammad R Ostovaneh; Raj R Makkar; Bharath Ambale-Venkatesh; Deborah Ascheim; Tarun Chakravarty; Timothy D Henry; Glen Kowalchuk; Frank V Aguirre; Dean J Kereiakes; Thomas J Povsic; Richard Schatz; Jay H Traverse; Janice Pogoda; Rachel D Smith; Linda Marbán; Eduardo Marbán; Joao A C Lima
Journal:  Open Heart       Date:  2021-07

9.  Impact of Right Atrial Physiology on Heart Failure and Adverse Events after Myocardial Infarction.

Authors:  Andreas Schuster; Sören J Backhaus; Thomas Stiermaier; Jenny-Lou Navarra; Johannes Uhlig; Karl-Philipp Rommel; Alexander Koschalka; Johannes T Kowallick; Boris Bigalke; Shelby Kutty; Matthias Gutberlet; Gerd Hasenfuß; Holger Thiele; Ingo Eitel
Journal:  J Clin Med       Date:  2020-01-12       Impact factor: 4.241

10.  Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.

Authors:  Sona Ghadimi; Daniel A Auger; Xue Feng; Changyu Sun; Craig H Meyer; Kenneth C Bilchick; Jie Jane Cao; Andrew D Scott; John N Oshinski; Daniel B Ennis; Frederick H Epstein
Journal:  J Cardiovasc Magn Reson       Date:  2021-03-11       Impact factor: 5.364

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