Why the study?
A systematic workflow was needed to quantify the location and size of scar tissue from CMR images following PVI to evaluate ablation procedures.
Can a semi-automated software framework quantify pulmonary vein isolation scar tissue and ablation gaps from CMR images?
Can a semi-automated software framework quantify pulmonary vein isolation scar tissue and ablation gaps from CMR images?
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A novel semi-automated software framework successfully quantified post-ablation scar tissue and pulmonary vein encirclement from CMR images in a proof-of-concept study.
The ablation causes non-conductive scar tissue that separates the body of the atrium from regions around the pulmonary veins that trigger AF. This scar tissue can be seen in the atrium using cardiac MR. We aim to develop a systematic workflow to quantify the location and size of scar tissue due to PVI from CMR images to evaluate ablation procedures. Input meshes were created from segmented late-gadolineum-enhanced (LGE) cardiac magnetic resonance (CMR) scans with scalar values at each node representing the signal intensity of the scar. The software has three features: (i) Calculating the area of the scar tissue, (ii) assessing ablation lesions to identify the percentage of the pulmonary vein encircled by scar and the number of gaps in it, and (iii) comparing pre-and postablation scar tissues qualitatively. Six patients were assessed as a proof of concept, where patients had undergone pre-and post-ablation scans. In all tests, an increase in fibrotic tissue was found, from averages of 2+1.9% and 36+18%. Post-ablation lesions were assessed showing an average of 75+12% pulmonary vein encirclement, with gaps ranging from 2 to 4. The software presented is a semi-automated, user friendly framework where users are able to assess an ablation procedure.
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Solís-Lemus et al. (2020) studied this question.
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