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.
Does endoscopic multispectral imaging improve tissue type classification accuracy in cardiac ablation lesions?
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.
p-value: p=<0.0001
. 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.
Park et al. (Thu,) conducted a other in 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.