Editorial for “Multi‐Parametric Rest and Dobutamine Stress Cardiovascular Magnetic Resonance in Assessment of Myocardial Viability: Could Feature Tracking Strain Analysis Add Value?”

2021 ◽  
Author(s):  
Stella Kyung ◽  
Connor Young ◽  
Menhel Kinno
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Myocardial Viability ◽  
Feature Tracking ◽  
Strain Analysis ◽  
Dobutamine Stress ◽  
Stress Cardiovascular Magnetic Resonance

scholarly journals Myocardial Feature Tracking Reduces Observer-Dependence in Low-Dose Dobutamine Stress Cardiovascular Magnetic Resonance

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0122858 ◽  
Author(s):  
Andreas Schuster ◽  
Matthias Paul ◽  
Nuno Bettencourt ◽  
Shazia T. Hussain ◽  
Geraint Morton ◽  
...  
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Feature Tracking ◽  
Low Dose ◽  
Dobutamine Stress ◽  
Stress Cardiovascular Magnetic Resonance

Feasibility of dobutamine stress cardiovascular magnetic resonance imaging in children

2009 ◽  
Vol 29 (2) ◽  
pp. 313-319 ◽  
Author(s):  
Sebastian Strigl ◽  
Rebecca Beroukhim ◽  
Anne Marie Valente ◽  
David Annese ◽  
James S. Harrington ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Cardiovascular Magnetic Resonance Imaging ◽  
Dobutamine Stress ◽  
Resonance Imaging ◽  
Stress Cardiovascular Magnetic Resonance

scholarly journals Feature-Tracking Strain Derived from Compressed Sensing Cine Cardiovascular Magnetic Resonance Imaging for Myocardial Infarct Detection: A Feasibility Study

2021 ◽  
Author(s):  
Tomoro Morikawa ◽  
Yuki Tanabe ◽  
Tomoyuki Kido ◽  
Ryo Ogawa ◽  
Masashi Nakamura ◽  
...  
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Compressed Sensing ◽  
Feature Tracking ◽  
Myocardial Infarct ◽  
Strain Analysis ◽  
Significant Difference ◽  
Cine Cmr ◽  
Lge Cmr ◽  
Cmr Imaging

Abstract Purpose: This study aimed to use gadolinium-enhanced cardiovascular magnetic resonance (LGE-CMR) scanning to examine the clinical feasibility of feature-tracking strain (FT-strain) analysis on compressed sensing (CS) cine cardiovascular magnetic resonance (CMR) imaging for detecting myocardial infarction (MI).Methods: We enrolled 37 patients who underwent conventional cine CMR, CS cine CMR, and LGE-CMR scanning to assess cardiovascular disease. FT-strain analysis was used to assess peak circumferential strain (p-CS) based on an 18-segment model in both cine CMR imaging modalities. Based on LGE-CMR imaging findings, myocardial segments were classified as remote, adjacent, subendocardial infarcted, and transmural infarcted. The diagnostic performance of p-CS for detecting MI was compared between CS cine CMR imaging and conventional cine CMR imaging using the receiver operating characteristic (ROC) curve analysis.Results: A total of 440 remote, 85 adjacent, 76 subendocardial infarcted, and 65 transmural infarcted segments were diagnosed on LGE-CMR imaging. There were significant between-group differences in p-CS on both conventional and CS cine CMR (p <0.05 in each) imaging. The sensitivity and specificity of p-CS for identifying MI were 85% and 79% for conventional cine CMR imaging, and 82% and 77% for CS cine CMR imaging, respectively. There was no significant difference between conventional and CS cine CMR imaging in the area under the curve of p-CS (0.89 vs. 0.87, p = 0.15).Conclusion: FT-strain analysis of CS cine CMR imaging may help identify MI; it may be used alongside or instead of conventional CMR imaging.

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