Key result
Endoscopic multispectral imaging (eMSI) classified cardiac tissue types with accuracies of 92.1% for transmural lesions, 80.2% for non-transmural lesions, 95.0% for PV, and 92.8% for untreated LA.
Why the study?
Does endoscopic multispectral imaging improve tissue type classification accuracy in cardiac ablation lesions?
Does endoscopic multispectral imaging improve tissue type classification accuracy in cardiac ablation lesions?
Answers are grounded in this paper and cite their sources.
Endoscopic multispectral imaging demonstrates high accuracy in distinguishing transmural from non-transmural cardiac lesions, offering a potential tool for real-time lesion validation during atrial fibrillation ablation.
. Statistical analysis of the acquired five spectral data sets and ratiometric maps revealed significant differences between transmural lesions, non-transmural lesions around the venoatrial junctions, unablated posterior wall of left atrium tissue, and pulmonary vein (p < 0.0001). A pixel-based quadratic discriminant analysis classifier was applied to distinguish four tissue types: PV, untreated LA, non-transmural and transmural lesions. We demonstrate tissue type classification accuracies of 80.2% and 92.1% for non-transmural and transmural lesions, and 95.0% and 92.8% for PV and untreated LA sites, respectively. These findings showcase the potential of eMSI for lesion validation and may help to improve AFib treatment efficacy.
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Park et al. (2019) studied Atrial fibrillation (cardiac lesions). Endoscopic multispectral imaging (eMSI) was evaluated on Tissue type classification accuracy (p=<0.0001). Endoscopic multispectral imaging (eMSI) classified cardiac tissue types with accuracies of 92.1% for transmural lesions, 80.2% for non-transmural lesions, 95.0% for PV, and 92.8% for untreated LA.
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