人类心外膜的近红外光谱图。

Jonah A Majumder, Danyang Cheng, Haiqiu Yang, Kenneth Laurita, Andrew M Rollins, Deepak Saluja, Christine P Hendon
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引用次数: 0

摘要

心外膜导管消融对于解决远离心内膜的室性心动过速目标是必要的,但心外膜脂肪组织和冠状血管可使消融复杂化。我们证明了基于导管的近红外光谱(NIRS)可以识别这些障碍来指导消融。使用光源检测器间距(SDSs)分别为0.6和0.9 mm的近红外光谱仪(NIRS)导管对18个人的心室进行离体定位。通过人工标记光谱训练的逻辑回归模型,在二元脂肪检测中,受试者工作特征曲线(AUROC)下的平均面积为0.907 (0.6 mm SDS)和0.911 (0.9 mm SDS)。此外,还提出了用于脂肪检测的新型光学指标,AUROC分别为0.881 (0.6 mm SDS)和0.873 (0.9 mm SDS),而用于血管检测的血液特异性光学指标AUROC为0.859 (0.9 mm SDS)。上述结果提示,基于导管的近红外光谱可以检测脂肪组织和冠状血管,提高心外膜消融的疗效和安全性。
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Near-Infrared Spectroscopic Mapping of the Human Epicardium.

Epicardial catheter ablation is necessary to address ventricular tachycardia targets located far from the endocardium, but epicardial adipose tissue and coronary blood vessels can complicate ablation. We demonstrate that catheter-based near-infrared spectroscopy (NIRS) can identify these obstacles to guide ablation. Eighteen human ventricles were mapped ex vivo using NIRS catheters with optical source-detector separations (SDSs) of 0.6 and 0.9 mm. A logistic regression model trained from manually labeled spectra achieved mean area under the receiver operating characteristic curve (AUROC) of 0.907 (0.6 mm SDS) and 0.911 (0.9 mm SDS) in binary adipose detection. Novel optical indices for adipose detection were also proposed, achieving AUROCs of 0.881 (0.6 mm SDS) and 0.873 (0.9 mm SDS), while a blood-specific optical index achieved AUROC of 0.859 for vessel detection (0.9 mm SDS). These results suggest that catheter-based NIRS can detect adipose tissue and coronary vessels to improve efficacy and safety of epicardial ablation.

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