2013
DOI: 10.1093/eurheartj/eht308.p1869
|View full text |Cite
|
Sign up to set email alerts
|

Feature-tracking cardiovascular magnetic resonance as a novel technique for the assessment of mechanical dyssynchrony

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 16 publications
(4 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…Prior studies comparing other feature tracking software and tagging analysis of CMR images have been limited largely to only LV strain [26][27][28]. There are no reports comparing feature tracking to SENC or other methods of RV strain analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Prior studies comparing other feature tracking software and tagging analysis of CMR images have been limited largely to only LV strain [26][27][28]. There are no reports comparing feature tracking to SENC or other methods of RV strain analysis.…”
Section: Discussionmentioning
confidence: 99%
“…useful for the prediction of all-cause death, hospitalization for heart failure and adverse arrhythmic cardiac events. [1][2][3] Due to its high spatial resolution and signal-to-noise ratio images, CMR imaging permits highly reliable tracking of myocardial deformation and evaluation of LV strain, as well; [4,8,14] consequently, CMR assessment of LV strain (which has been demonstrated to be more closely related to myocyte metabolism and contractility than LVEF) may result useful in the risk stratification of STEMI patients. [4] Historically, LV strain in CMR has been evaluated using the tagging technique; however, myocardial tagging (in which virtual markers in the myocardium are obtained with magnetization saturation bands) requires complex and time-consuming data acquisition and postprocessing.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…In the present study, we used the (feature tracking imaging) FTI algorithm, which can be applied to cine sequences from different vendors and field strengths and obviate the need for dedicated pulse sequences [12][13][14][15][16]. Using FTI we sought to investigate whether quantification of circumferential and longitudinal strains can be used to estimate infarct size by late gadolinium enhancement (LGE) and clinical outcomes in patients with first time STEMI.…”
Section: Introductionmentioning
confidence: 99%