Department of Electrical Engineering, Columbia University, New York, NY.
Department of Medicine, Cardiology Division, Columbia University Medical Center, New York, NY.
J Biophotonics. 2019 Apr;12(4):e201800144. doi: 10.1002/jbio.201800144. Epub 2018 Dec 26.
Despite considerable advances in guidance of radiofrequency ablation (RFA) therapy for the treatment of cardiac arrhythmias, success rates have been hampered by a lack of tools for precise intraoperative evaluation of lesion extent. Near-infrared spectroscopic (NIRS) techniques are sensitive to tissue structural and biomolecular properties, characteristics that are directly altered by radiofrequency (RF) treatment. In this work, a combined NIRS-RFA catheter is developed for real-time monitoring of tissue reflectance during RF energy delivery. An algorithm is proposed for processing NIR spectra to approximate nonirrigated lesion depth in both atrial and ventricular tissues. The probe optical geometry was designed to bias measurement influence toward absorption enabling enhanced sensitivity to changes in tissue composition. A set of parameters termed "lesion optical indices" are defined encapsulating spectral differences between ablated and unablated tissue. Utilizing these features, a model for real-time tissue spectra classification and lesion size estimation is presented. Experimental validation conducted within freshly excised porcine cardiac specimens showed strong concordance between algorithm estimates and post-hoc tissue assessment.
尽管在射频消融 (RFA) 治疗心律失常的指导方面取得了相当大的进展,但由于缺乏精确评估病变范围的术中工具,成功率受到了阻碍。近红外光谱 (NIRS) 技术对组织结构和生物分子特性敏感,这些特性直接受到射频 (RF) 治疗的影响。在这项工作中,开发了一种组合的 NIRS-RFA 导管,用于在 RF 能量输送过程中实时监测组织反射率。提出了一种用于处理 NIR 光谱的算法,以近似心房和心室组织中未灌溉的病变深度。探头光学几何形状的设计偏向于测量吸收,从而提高了对组织成分变化的敏感性。定义了一组称为“病变光学指数”的参数,这些参数包含了消融和未消融组织之间的光谱差异。利用这些特征,提出了一种实时组织光谱分类和病变大小估计的模型。在新鲜取出的猪心标本中进行的实验验证表明,算法估计值与事后组织评估之间具有很强的一致性。