IHU-Strasbourg Institute of Image-Guided Surgery, France; Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Germany; EA 3072, Fédération de Médecine Translationnelle de Strasbourg, Medical University of Strasbourg, France.
IHU-Strasbourg Institute of Image-Guided Surgery, France.
Surgery. 2020 Jul;168(1):178-184. doi: 10.1016/j.surg.2020.02.008. Epub 2020 Mar 27.
Fluorescence-based enhanced reality is a software that provides quantitative fluorescence angiography by computing the fluorescence intensity time-to-peak after intravenous indocyanine green. Hyperspectral imaging is a contrast-free, optical imaging modality which measures tissue oxygenation.
In 8 pigs, an ischemic bowel segment created by dividing the arcade branches was imaged using hyperspectral imaging and fluorescence-based enhanced reality. Tissue oxygenation values were acquired through a hyperspectral imaging system. Subsequently, fluorescence angiography was performed using a near-infrared laparoscopic camera after intravenous injection of 0.2 mg/kg of indocyanine green. The time-to-peak fluorescence signal was analyzed through a proprietary software to realize a perfusion map. This was overlaid onto real-time images to obtain fluorescence-based enhanced reality. Simultaneously, 9 adjacent regions of interest were selected and superimposed onto the real-time video, thereby obtaining hyperspectral-based enhanced reality. Fluorescence-based enhanced reality and hyperspectral-based enhanced reality were superimposed allowing a comparison of both imaging modalities. Local capillary lactate levels were sampled at the regions of interest. Two prediction models using the local capillary lactate levels were extrapolated based on both imaging systems.
For all regions of interest, the mean local capillary lactate levels were 4.67 ± 4.34 mmol/L, the mean tissue oxygenation was 45.9 ± 18.9%, and the mean time-to-peak was 10 ± 9.4 seconds. Pearson's test between fluorescence-based enhanced reality-time-to-peak and hyperspectral imaging-tissue oxygenation at the corresponding regions of interest gave an R = -0.66 (P < .0001). The hyperspectral imaging lactate prediction model proved more accurate than the fluorescence-based enhanced reality-based model (P < .0001).
Bowel perfusion was quantified using hyperspectral imaging and fluorescence angiography. Hyperspectral imaging yielded more accurate results than fluorescence angiography. Hyperspectral-based enhanced reality may prove to be a useful, contrast-free intraoperative tool to quantify bowel ischemia.
荧光增强现实技术是一种软件,通过计算静脉注射吲哚菁绿后荧光强度达到峰值的时间来提供定量荧光血管造影。高光谱成像是一种无对比的光学成像方式,用于测量组织氧合。
在 8 头猪中,通过分割弓状分支创建缺血性肠段,使用高光谱成像和荧光增强现实技术进行成像。通过高光谱成像系统获取组织氧合值。随后,经静脉注射 0.2mg/kg 吲哚菁绿后,使用近红外腹腔镜相机进行荧光血管造影。通过专有软件分析荧光强度达到峰值的时间来实现灌注图。将其叠加到实时图像上,以获得荧光增强现实。同时,选择 9 个相邻的感兴趣区域并叠加到实时视频上,从而获得基于高光谱的增强现实。将荧光增强现实和高光谱增强现实叠加,以比较两种成像方式。在感兴趣区域采集局部毛细血管乳酸水平。基于两种成像系统,根据局部毛细血管乳酸水平,分别推导出两个预测模型。
所有感兴趣区域的局部毛细血管乳酸水平平均值为 4.67 ± 4.34mmol/L,组织氧合平均值为 45.9 ± 18.9%,荧光强度达到峰值的时间平均值为 10 ± 9.4 秒。相应感兴趣区域的荧光增强现实时间至峰值与高光谱成像组织氧合之间的 Pearson 检验,R 值为-0.66(P <.0001)。高光谱成像乳酸预测模型比荧光增强现实模型更准确(P <.0001)。
使用高光谱成像和荧光血管造影定量评估肠道灌注。高光谱成像的结果比荧光血管造影更准确。高光谱增强现实可能成为一种有用的、无对比的术中工具,用于定量评估肠缺血。