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18 Cine-derived strain using the glasgowheart method
  1. K Mangion1,
  2. H Gao2,
  3. A Radjenovic1,
  4. X Luo2,
  5. C Haig3,
  6. C Berry3
  1. 1BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
  2. 2School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
  3. 3Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK


Background The GlasgowHeart method is designed to overcome some limitations of currently available feature-tracking methods by incorporating all of the myocardial tissues using an in-house developed intensity-based b-spline deformable registration method. The aim of this pilot study was to ensure that peak circumferential strain (Ecc) estimation is feasible and reproducible with minimal intra- and inter- observer variability.

Methods 20 healthy volunteers underwent 1.5T CMR twice,  < 2 days apart. Mid- LV cine sequences, were analysed with the Glasgowheart software (Figure 1). Two observers independently analysed 40 short axis slices for inter-observer variability. One observer reanalysed the 40 short axis slices. Pearson correlation and Bland-Altman analysis were used.

Results 20 participants were used in the analysis (mean age ± SD 49.5 years (17.2) 50% male). Ecc measured on the first set of MRIs by the two observers was highly correlated (R = 0.915, p < 0.001) and in excellent agreement (mean difference = 0.01; 95% LoA: −0.01, 0.02). Repeated image analysis 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 = 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 = 0.00; 95% LoA: −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).

Conclusion The GlasgowHeart method is a robust and reproducible method of assessing cine-derived circumferential strain. By tracking a higher proportion of voxels than the currently available feature tracking software, it has clear potential to provide a more accurate assessment of strain.

Abstract 18 Figure 1

The Glasgowheart pixel-tracking software. (A) shows border delineation (B) shows automatic segmentation using the inferior right ventricular insertion point. (C) and (D) show graphical output as circumferential and radial strain graphs, respectively

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