Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
J Biophotonics. 2019 Dec;12(12):e201900198. doi: 10.1002/jbio.201900198. Epub 2019 Aug 21.
Mesenteric venous thrombosis (MVT) is one of major causes leading to severe mesenteric ischemia. Vascular network plays an important role during the occurrence and development of MVT. However, there lacks an appropriate imaging method, which features advanced volumetric resolving capability, superior sensitivity to hemoglobin, and ultra-large field-of-view (FOV), to investigate vascular response of MVT. In this study, we developed and applied a large-FOV optical resolution photoacoustic microscopy to quantify the vascular response during the entire course of two different MVT models in which we ligated the superior mesenteric vein and inferior mesenteric vein, respectively. Furthermore, we developed a quantitative algorithm to derive total vascular length, relative concentration of total hemoglobin and vascular density over the FOV to reveal different vascular responses in different MVT models.
肠系膜静脉血栓形成(MVT)是导致严重肠系膜缺血的主要原因之一。血管网络在 MVT 的发生和发展过程中起着重要作用。然而,目前缺乏一种合适的成像方法,该方法具有先进的容积分辨率、对血红蛋白的高灵敏度以及超大的视野(FOV),可用于研究 MVT 的血管反应。在这项研究中,我们开发并应用了一种大 FOV 光分辨率光声显微镜,以定量分析两种不同 MVT 模型(分别结扎肠系膜上静脉和肠系膜下静脉)整个过程中的血管反应。此外,我们开发了一种定量算法,以推导出 FOV 上总血管长度、总血红蛋白的相对浓度和血管密度,以揭示不同 MVT 模型中的不同血管反应。