Majumder Jonah A, Cheng Danyang, Yang Haiqiu, Laurita Kenneth, Rollins Andrew M, Saluja Deepak, Hendon Christine P
Department of Biomedical Engineering, Columbia University, New York, New York, USA.
Department of Electrical Engineering, Columbia University, New York, New York, USA.
J Biophotonics. 2025 Mar;18(3):e202400464. doi: 10.1002/jbio.202400464. Epub 2025 Jan 18.
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.
对于位于远离心内膜的室性心动过速靶点，心外膜导管消融是必要的，但心外膜脂肪组织和冠状血管会使消融变得复杂。我们证明基于导管的近红外光谱（NIRS）可以识别这些障碍以指导消融。使用光源 - 探测器间距（SDS）为0.6和0.9毫米的NIRS导管对18个人类心室进行了离体标测。在二元脂肪检测中，由手动标记光谱训练的逻辑回归模型在接收器操作特征曲线（AUROC）下的平均面积分别为0.907（0.6毫米SDS）和0.911（0.9毫米SDS）。还提出了用于脂肪检测的新型光学指标，其AUROC分别为0.881（0.6毫米SDS）和0.873（0.9毫米SDS），而一种针对血液的光学指标在血管检测（0.9毫米SDS）中的AUROC为0.859。这些结果表明基于导管的NIRS可以检测脂肪组织和冠状血管，以提高心外膜消融的疗效和安全性。
