Biomedical Sciences Research Institute, Ulster University, Coleraine BT521SA, United Kingdom; Department of Cardiology, Royal Victoria Hospital, Belfast Health and Social Care Trust, Belfast BT126BA, United Kingdom.
VAMPIRE Project, Computing (SSEN), University of Dundee, Dundee, DD1 4HN, United Kingdom.
Microvasc Res. 2019 Nov;126:103907. doi: 10.1016/j.mvr.2019.103907. Epub 2019 Jul 19.
The conjunctival microcirculation is a readily-accessible vascular bed for quantitative haemodynamic assessment and has been studied previously using a digital charge-coupled device (CCD). Smartphone video imaging of the conjunctiva, and haemodynamic parameter quantification, represents a novel approach. We report the feasibility of smartphone video acquisition and subsequent haemodynamic measure quantification via semi-automated means.
Using an Apple iPhone 6 s and a Topcon SL-D4 slit-lamp biomicroscope, we obtained videos of the conjunctival microcirculation in 4 fields of view per patient, for 17 low cardiovascular risk patients. After image registration and processing, we quantified the diameter, mean axial velocity, mean blood volume flow, and wall shear rate for each vessel studied. Vessels were grouped into quartiles based on their diameter i.e. group 1 (<11 μm), 2 (11-16 μm), 3 (16-22 μm) and 4 (>22 μm).
From the 17 healthy controls (mean QRISK3 6.6%), we obtained quantifiable haemodynamics from 626 vessel segments. The mean diameter of microvessels, across all sites, was 21.1μm (range 5.8-58 μm). Mean axial velocity was 0.50mm/s (range 0.11-1mm/s) and there was a modestly positive correlation (r 0.322) seen with increasing diameter, best appreciated when comparing group 4 to the remaining groups (p < .0001). Blood volume flow (mean 145.61pl/s, range 7.05-1178.81pl/s) was strongly correlated with increasing diameter (r 0.943, p < .0001) and wall shear rate (mean 157.31 s, range 37.37-841.66 s) negatively correlated with increasing diameter (r - 0.703, p < .0001).
We, for the first time, report the successful assessment and quantification of the conjunctival microcirculatory haemodynamics using a smartphone-based system.
结膜微循环是一种易于获得的血管床,可用于定量评估血液动力学,此前已使用数字电荷耦合器件 (CCD) 进行了研究。使用智能手机对结膜进行视频成像和血液动力学参数定量,代表了一种新方法。我们报告了通过半自动方式实现智能手机视频采集和随后的血液动力学测量量化的可行性。
使用 Apple iPhone 6s 和 Topcon SL-D4 裂隙灯生物显微镜,我们为 17 名低心血管风险患者的每只眼的 4 个视野获得了结膜微循环的视频。在图像注册和处理后,我们量化了每个研究血管的直径、平均轴向速度、平均血流体积流量和壁面切应力率。根据直径将血管分为四组,即第 1 组(<11μm)、第 2 组(11-16μm)、第 3 组(16-22μm)和第 4 组(>22μm)。
在 17 名健康对照者(平均 QRISK3 6.6%)中,我们从 626 个血管段中获得了可量化的血液动力学数据。所有部位的微血管平均直径为 21.1μm(范围为 5.8-58μm)。平均轴向速度为 0.50mm/s(范围为 0.11-1mm/s),与直径呈适度正相关(r=0.322),当将第 4 组与其余组进行比较时,这种相关性最佳(p<0.0001)。血流体积流量(平均 145.61pl/s,范围 7.05-1178.81pl/s)与直径呈强相关性(r=0.943,p<0.0001),壁面切应力率(平均 157.31s,范围 37.37-841.66s)与直径呈负相关(r=-0.703,p<0.0001)。
我们首次报告了使用基于智能手机的系统成功评估和量化结膜微循环血液动力学的情况。