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  • Meeting abstract
  • Open Access

2052 Interstudy reproducibility of the quantification of CMR myocardial late gadolinium enhancement in hypertrophic cardiomyopathy

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Journal of Cardiovascular Magnetic Resonance200810 (Suppl 1) :A321

https://doi.org/10.1186/1532-429X-10-S1-A321

  • Published:

Keywords

  • Gadolinium Late Enhancement
  • Hypertrophic Cardiomyopathy
  • Left Ventricular Remodel
  • Short Axis Slice
  • Fibrotic Area

Aim

Myocardial fibrosis is a common finding in patients with hypertrophic cardiomyopathy (HCM) and the amount of fibrosis is closely correlated with known risk factors for sudden cardiac death and adverse left ventricular remodeling. Quantification of fibrosis is challenging owing to the variable patterns and signal intensity of fibrotic regions, variable TI settings and surface coil responses. There are no published data on the interstudy reproducibility of late gadolinium quantification in HCM. This needs to be determined before the significance of longitudinal changes in fibrosis after pharmacologic or therapeutic interventions in defined patient cohorts can be assessed. We sought to assess the interstudy reproducibility of quantification of fibrosis in patients with HCM.

Methods

19 patients with HCM who underwent a clinical cardiovascular MR with gadolinium late enhancement (LGE) were invited back to have a repeat scan performed using the same protocol within a 4 week period from their index scan. The same operator performed both scans on a 1.5 T Siemens Avanto scanner with a 4 channel body array coil using the same scanning protocol. The gadolinium dose used was 0.1 mmol/kg and an inversion recovery segmented-FLASH imaging with TI adjusted to null normal myocardium to highlight regions of fibrosis was used (TR 6.6 ms, 25°, 23 lines per cycle, 230 Hz/pixel) acquired 1.4 × 2.3 × 8 mm voxels over typically 360 × 270 mm FOV (adapted per patient)). A series of 10–12 short axis slices from base to apex were acquired for LGE analysis. Slice thickness was 8 mm, and with a 2 mm gap between slices. An expert operator, blinded to patient clinical data, analyzed the scans and areas of fibrosis were manually traced and quantified in grams. Each of the two scans was analyzed at different time points to reduce bias. Owing to unavoidable slight misalignment between slices on different days, the total amount of fibrosis, in grams, was compared between scans as opposed the amount per slice.

Results

Coefficients of variation were calculated as the standard deviation of the differences between the two measurements divided by the mean value, and comparison of values was calculated using a Bland-Altman plot. Overall there was a good agreement between the 2 scans, and errors were less where amounts of fibrosis were smaller. The mean difference between the scans was -4.91 grams and the 95% limits of agreement were (-25.39, 15.56). The coefficient of variation for late gadolinium quantification in HCM was 19%.

Discussion and conclusion

This study demonstrates that manual quantification of fibrosis in HCM has reasonable interstudy reproducibility. The signal intensity of fibrotic regions detected by LGE is greater in infarcts than in HCM. For this reason it is challenging to accurately trace regions of fibrosis in HCM when there are large regions of differing signal intensities. Automated software analysis of fibrotic areas based on definitions of fibrosis as being 2 to 6 standard deviations from a user defined "normal" area of myocardium may be a more reproducible method of quantification between studies. Given the acceptable interstudy reproducibility, the quantification and follow up of fibrotic areas over time may be a reasonable endpoint to assess in therapeutic trials in HCM.
Figure 1
Figure 1

Scattergram of the repeat LGE quantification in all 19 subjects with HCM.

Figure 2
Figure 2

Bland Altman plot of HCM LGE interstudy reproducibility.

Authors’ Affiliations

(1)
Royal Brompton Hospital, London, UK
(2)
Imperial College, London, UK

Copyright

© O'Hanlon et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd.

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