New Quantitative Analysis Method Using HyperEye Medical System Image for Coronary Artery Bypass GraftingTakemi Handa1,2*, Kazumasa Orihashi2, Hideaki Nishimori2, Masaki Yamamoto2 and Takayuki Sato3
- *Corresponding Author:
- Takemi Handa
Department of Cardiology and Vascular surgery
Izumino Hospital, Kochi, Japan
E-mail: [email protected]
Received date: 05 May, 2017; Accepted date: 15 May, 2017; Published date: 20 May, 2017
Citation: Handa T, Orihashi K, Nishimori H, Yamamoto M, Sato T (2017) New Quantitative Analysis Method Using HyperEye Medical System Image for Coronary Artery Bypass Grafting. Angiol 5:194. doi: 10.4172/2329-9495.1000194
Copyright: © 2017 Handa T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Purpose: The current evaluation by indocyanine green angiography in coronary artery bypass patients has been performed by qualitative analysis. We devised an original quantitative analysis method using Image J. Methods: Indocyanine green angiography movie was converted to spatiotemporal images. Using the spatiotemporal image, an indocyanine green fluorescence intensity curve was drawn and converted to a firstderivative (acceleration) curve. Indocyanine green angiography evaluations were classified into four types. We collected the peak indocyanine green fluorescence intensity value (peak-I) and both time interval and ratio of maximum indocyanine green acceleration value (max dI/dt) between the mid and distal portions of the graft. Results: In 61 left internal thoracic artery grafts, 49 were patent and 12 were abnormal on CAG. There were significant differences between peak-I at the mid portion of the graft (221.47 ÃÂ± 39.33 vs. 184.82 ÃÂ± 40.15 gray scale) and time delay with max dI/dt (0.45 ÃÂ± 1.28 vs. Ã¢ÂÂ1.00 ÃÂ± 1.25 s), but there was no significant difference in the ratio of max dI/dt between patent and abnormal grafts. Conclusions: The spatiotemporal image method may become a model of the analysis software and the time interval of max dI/dt may become a predictor for future graft failure.