Prediction of functional recovery by cardiac magnetic resonance feature tracking imaging in first time ST-elevation myocardial infarction. Comparison to infarct size and transmurality by late gadolinium enhancement

Buss, Sebastian J.; Krautz, Birgit; Hofmann, Nina; Sander, Yannick; Rust, Lukas; Giuşcă, Sorin; Galuschky, Christian; Seitz, Sebastian; Giannitsis, Evangelos; Pleger, Sven T.; Raake, Philip; Most, Patrick; Katus, Hugo A.; Korosoglou, Grigorios

doi:10.1016/j.ijcard.2015.01.022

Cited by 58 publications

(48 citation statements)

References 44 publications

(49 reference statements)

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“…Our findings are similar to those of Orii et al 12 who also showed a strong predictive accuracy of speckle-tracking echocardiographic Ecc (AUC, 0.899) for segmental functional recovery, and similar accuracy to SEE (P=0.439). On a global level, our findings are supported by the recent work of Buss et al, 31 which showed that FT-derived global Ecc and LGE IS were moderately strong predictors of LV ejection fraction >50% at 6-month follow-up, and that Ecc was a noninferior predictor compared with IS.…”

Section: Prediction Of Segmental Functional Recovery With Strainsupporting

confidence: 89%

Relationship of Myocardial Strain and Markers of Myocardial Injury to Predict Segmental Recovery After Acute ST-Segment–Elevation Myocardial Infarction

Khan

Nazir

Singh

et al. 2016

Circ: Cardiovascular Imaging

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I mprovement in dysfunctional myocardium after acute ST-segment-elevation myocardial infarction (STEMI) predicts long-term myocardial function and prognosis. Background-Late gadolinium-enhanced cardiovascular magnetic resonance imaging overestimates infarct size and underestimates recovery of dysfunctional segments acutely post ST-segment-elevation myocardial infarction. We assessed whether cardiovascular magnetic resonance imaging-derived segmental myocardial strain and markers of myocardial injury could improve the accuracy of late gadolinium-enhancement in predicting functional recovery after ST-segment-elevation myocardial infarction. Methods and Results-A total of 164 ST-segment-elevation myocardial infarction patients underwent acute (median 3 days) and follow-up (median 9.4 months) cardiovascular magnetic resonance imaging. Wall-motion scoring, feature tracking-derived circumferential strain (Ecc), segmental area of late gadolinium-enhancement (SEE), microvascular obstruction, intramyocardial hemorrhage, and salvage index (MSI) were assessed in 2624 segments. We used logistic regression analysis to identify markers that predict segmental recovery. At acute CMR 32% of segments were dysfunctional, and at follow-up CMR 19% were dysfunctional. Segmental function at acute imaging and odds ratio (OR) Khan et al CMR Predictors of Segmental Recovery in STEMIand stunned 4 myocardium, allowing the prediction of functional recovery without inotropic challenge.1,2 However, the evidence base in acute STEMI is limited by a small number of single-center studies and heterogeneity of LGE assessment.5-12 Moreover, several reports have shown that LGE, measured within days of STEMI, overestimates acute infarct size (IS) and underestimates the potential for functional recovery. [13][14][15] The accuracy of segmental LGE expressed as segmental area of late gadolinium-enhancement (SEE) defined as enhanced percentage of segmental area, [10][11][12]16 rather than maximum transmurality in predicting segmental recovery in acute STEMI has shown promise.Several other CMR markers of myocardial injury have been associated with functional recovery after STEMI. Circumferential strain (Ecc), 11 myocardial salvage (MSI), 17LGE-derived microvascular obstruction (late MVO), 11,17,18 and intramyocardial hemorrhage (IMH) 18 have been assessed in a few small studies. There are no studies investigating whether they offer additive value to the predictive accuracy of LGE. Feature tracking (FT) is a novel postprocessing software for the quantification of myocardial strain from steady state freeprecession cine images 19,20 We have recently demonstrated greater robustness, reproducibility, and infarct correlation with FT-derived strain compared with tagging in acute STEMI. 21 We aimed to assess whether FT-derived Ecc, MSI, late MVO, and IMH predicted segmental functional recovery in acute STEMI and whether this was of additive value to SEE. Methods Study PopulationTwo hundred and three STEMI patients with multivessel coronary disease were recrui...

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Section: Prediction Of Segmental Functional Recovery With Strainsupporting

confidence: 89%

Relationship of Myocardial Strain and Markers of Myocardial Injury to Predict Segmental Recovery After Acute ST-Segment–Elevation Myocardial Infarction

Khan

Nazir

Singh

et al. 2016

Circ: Cardiovascular Imaging

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“…On the other hand studies have shown that segmental circumferential strain has utility in predicting segmental recovery post infarction3132; as well as being correlated with infarct size17. Further, the analysis and interpretation of segmental strain data should account for repeated sampling, since strain within neighbouring segments is not independent.…”

Section: Discussionmentioning

confidence: 99%

A Novel Method for Estimating Myocardial Strain: Assessment of Deformation Tracking Against Reference Magnetic Resonance Methods in Healthy Volunteers

Mangion

Gao

McComb

et al. 2016

Sci Rep

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We developed a novel method for tracking myocardial deformation using cardiac magnetic resonance (CMR) cine imaging. We hypothesised that circumferential strain using deformation-tracking has comparable diagnostic performance to a validated method (Displacement Encoding with Stimulated Echoes- DENSE) and potentially diagnostically superior to an established cine-strain method (feature-tracking). 81 healthy adults (44.6 ± 17.7 years old, 47% male), without any history of cardiovascular disease, underwent CMR at 1.5 T including cine, DENSE, and late gadolinium enhancement in subjects >45 years. Acquisitions were divided into 6 segments, and global and segmental peak circumferential strain were derived and analysed by age and sex. Peak circumferential strain differed between the 3 groups (DENSE: −19.4 ± 4.8%; deformation-tracking: −16.8 ± 2.4%; feature-tracking: −28.7 ± 4.8%) (ANOVA with Tukey post-hoc, F-value 279.93, p < 0.01). DENSE and deformation-tracking had better reproducibility than feature-tracking. Intra-class correlation co-efficient was >0.90. Larger magnitudes of strain were detected in women using deformation-tracking and DENSE, but not feature-tracking. Compared with a reference method (DENSE), deformation-tracking using cine imaging has similar diagnostic performance for circumferential strain assessment in healthy individuals. Deformation-tracking could potentially obviate the need for bespoke strain sequences, reducing scanning time and is more reproducible than feature-tracking.

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“…3D myocardial tagging, based on the movement and deformation of a tagging grid, offers accurate assessment of quantitative parameters such as myocardial strain and can accurately identify myocardial viability during LDDSMR 42. CMR feature tracking is another technique that provides measurements of myocardial mechanics from routine cine imaging without the need for the acquisition of additional tagging sequences43 and can accurately provide viability assessment in ICM44 and predict functional recovery after ST elevation myocardial infarction 45. Furthermore, it can be employed by less experienced observers with similar diagnostic accuracy as compared with experienced readers.…”

Section: Assessing Viability and The Role Of Imagingmentioning

confidence: 99%

Ischaemic cardiomyopathy: pathophysiology, assessment and the role of revascularisation

Briceno

Schuster

Lumley

et al. 2016

Heart

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Prediction of functional recovery by cardiac magnetic resonance feature tracking imaging in first time ST-elevation myocardial infarction. Comparison to infarct size and transmurality by late gadolinium enhancement

Cited by 58 publications

References 44 publications

Relationship of Myocardial Strain and Markers of Myocardial Injury to Predict Segmental Recovery After Acute ST-Segment–Elevation Myocardial Infarction

Relationship of Myocardial Strain and Markers of Myocardial Injury to Predict Segmental Recovery After Acute ST-Segment–Elevation Myocardial Infarction

A Novel Method for Estimating Myocardial Strain: Assessment of Deformation Tracking Against Reference Magnetic Resonance Methods in Healthy Volunteers

Ischaemic cardiomyopathy: pathophysiology, assessment and the role of revascularisation

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