Pixel-tracking derived strain using the GlasgowHeart Method.

Mangion, K., Gao, H. , Radjenovic, A. , Luo, X. , Haig, C. and Berry, C. (2016) Pixel-tracking derived strain using the GlasgowHeart Method. Journal of Cardiovascular Magnetic Resonance, 18(Supl 1), P9. (doi: 10.1186/1532-429X-18-S1-P9) (PMCID:PMC5032251)

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Background: Estimation of strain parameters from cine acquisitions, such as balanced steady state free precession (b-SSFP) is advantageous, as it would obviate the need for acquisition of additional strain sequences reducing scanning time and making strain more accessible to clinicians. 2D strain derived from feature-tracking is now commercially available. The GlasgowHeart cine-strain method is designed to overcome some limitations of currently available feature-tracking methods by estimating pixel-wise strain for myocardial deformation incorporating all of the myocardial tissues. The aims of this pilot study was to ensure that 2D peak circumferential strain estimated from the GlasgowHeart method is feasible in healthy volunteers (n = 20) and reproducible with minimal intra- and inter- observer variability. Methods: Healthy volunteers aged at least 18 years of age with no prior medical history were invited to participate. A subset of 20 healthy adult volunteers underwent 1.5T CMR twice, < 2 days apart. Written consent was obtained. Mid-LV cine sequences, were analysed with the GlasgowHeart software. The process involves contouring the myocardial borders at end-diastole and segmenting the myocardium by using the right ventricular insertion point according to the 16 segment AHA model. Two observers independently analysed 40 short axis slices using the cine-strain method for inter-observer variability. One observer re-analysed the 40 short axis slices 10 days later for intra-observer variability. Scans were analysed in a random order. Pearson correlation and Bland-Altman analysis were used to analyse the data. Results: 20 participants were used in the subset analysis (mean age ± SD 49.5 years (17.2) 50% male). Peak circumferential strain (Ecc) measured on the first set of MRIs by the two observers (Figure 2A,B) was highly correlated (R = 0.915, p < 0.001) and in excellent agreement (mean difference = 0.01; 95% LoA: -0.01, 0.02). The repeated image analysis (Figure 2C,D) also disclosed a high degree of association in paired measurements of Ecc that was strongly correlated(R= 0.915, p< 0.001) and in excellent agreement (mean difference = 0.00; 95% LoA: -0.02, 0.01). Ecc measured in the second set of MRIs by 2 observers was well correlated (R = 0.937, p < 0.001) and in excellent agreement (mean difference = 0.00; 95% limits of agreement were -0.016 and 0.021). The repeated image analysis at follow-up yielded Ecc that was well correlated(R= 0.942, p < 0.001) and in excellent agreement (mean = 0.00; 95% LoA: -0.009 and 0.009). There was no difference between the average global Ecc at different time points (p > 0.05).

Item Type:Articles
Additional Information:Poster presentation, 19th Annual SCMR Scientific Sessions, Los Angeles, CA, USA. 27-30 January 2016
Glasgow Author(s) Enlighten ID:Luo, Professor Xiaoyu and Mangion, Dr Kenneth and Gao, Dr Hao and Berry, Professor Colin and Haig, Dr Caroline and Radjenovic, Dr Aleksandra
Authors: Mangion, K., Gao, H., Radjenovic, A., Luo, X., Haig, C., and Berry, C.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre
College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name:Journal of Cardiovascular Magnetic Resonance
Publisher:BioMed Central
ISSN (Online):1532-429X
Copyright Holders:Copyright © 2016 Mangion et al. 2016
First Published:First published in Journal of Cardiovascular Magnetic Resonance 18(Supl. 1):P9
Publisher Policy:Reproduced under a Creative Commons License

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