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November 11, 2021European Heart Journal - Cardiovascular Imaging58 citationsOpen Access

Quantification of left atrial fibrosis by 3D late gadolinium-enhanced cardiac magnetic resonance imaging in patients with atrial fibrillation: impact of different analysis methods

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LHLuuk H G A HopmanPBPranav BhagirathMMMark J. Mulder

Key Result

Quantification of left atrial fibrosis using the IIR threshold 1.2 method yielded significantly higher percentages than the 3SD method (29.80% vs. 8.43%; P<0.001), despite good correlation.

Study Design

Type

Cross-Sectional (n=47)

Structured PICO

How do different analysis methods and software packages for quantifying left atrial fibrosis using 3D-LGE-CMR compare in patients with atrial fibrillation?

P
Population
47 atrial fibrillation (AF) patients undergoing 3D-LGE-CMR imaging prior to AF ablation
I
Intervention
Left atrial fibrosis quantification using image intensity ratio (IIR) method (threshold 1.2) and different software packages (CEMRG, ADAS 3D-LA)
C
Comparator
Left atrial fibrosis quantification using three standard deviations (3SD) above the mean blood pool signal intensity method
O
Outcome
Percentage of LA fibrosis assessed and intraclass correlation coefficients (ICC) between methods and software packagessurrogate

Different quantification methods for left atrial fibrosis on LGE-CMR yield significantly different results, which may impact patient classification, whereas different software packages yield similar results when using the same method.

Main Result

Absolute Event Rate: 29.8% vs 8.43%

p-value: p=<0.001

Abstract

AIMS: Various methods and post-processing software packages have been developed to quantify left atrial (LA) fibrosis using 3D late gadolinium-enhancement cardiac magnetic resonance (LGE-CMR) images. Currently, it remains unclear how the results of these methods and software packages interrelate. METHODS AND RESULTS: Forty-seven atrial fibrillation (AF) patients underwent 3D-LGE-CMR imaging prior to their AF ablation. LA fibrotic burden was derived from the images using open-source CEMRG software and commercially available ADAS 3D-LA software. Both packages were used to calculate fibrosis based on the image intensity ratio (IIR)-method. Additionally, CEMRG was used to quantify LA fibrosis using three standard deviations (3SD) above the mean blood pool signal intensity. Intraclass correlation coefficients were calculated to compare LA fibrosis quantification methods and different post-processing software outputs. The percentage of LA fibrosis assessed using IIR threshold 1.2 was significantly different from the 3SD-method (29.80 ± 14.15% vs. 8.43 ± 5.42%; P < 0.001). Correlation between the IIR-and SD-method was good (r = 0.85, P < 0.001) although agreement was poor intraclass correlation coefficient (ICC) = 0.19; P < 0.001. One-third of the patients were allocated to a different fibrosis category dependent on the used quantification method. Fibrosis assessment using CEMRG and ADAS 3D-LA showed good agreement for the IIR-method (ICC = 0.93; P < 0.001). CONCLUSIONS: Both, the IIR1.2 and 3SD-method quantify atrial fibrotic burden based on atrial wall signal intensity differences. The discrepancy in the amount of LA fibrosis between these methods may have clinical implications when patients are classified according to their fibrotic burden. There was no difference in results between post-processing software packages to quantify LA fibrosis if an identical quantification method including the threshold was used.

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Cite This Study

Hopman et al. (2021) conducted a cross-sectional in Atrial fibrillation (n=47). Image intensity ratio (IIR) method (threshold 1.2) vs. Three standard deviations (3SD) method was evaluated on Percentage of left atrial fibrosis (p=<0.001). Quantification of left atrial fibrosis using the IIR threshold 1.2 method yielded significantly higher percentages than the 3SD method (29.80% vs. 8.43%; P<0.001), despite good correlation.

synapsesocial.com/papers/6a0f5a3234fbf15957ed27efhttps://doi.org/10.1093/ehjci/jeab245
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