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Calibration of diffuse correlation spectroscopy with a time-resolved near-infrared technique to yield absolute cerebral blood flow measurements

机译:使用时间分辨近红外技术对扩散相关光谱进行校准,以产生绝对的脑血流测量值

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A primary focus of neurointensive care is the prevention of secondary brain injury, mainly caused by ischemia. A noninvasive bedside technique for continuous monitoring of cerebral blood flow (CBF) could improve patient management by detecting ischemia before brain injury occurs. A promising technique for this purpose is diffuse correlation spectroscopy (DCS) since it can continuously monitor relative perfusion changes in deep tissue. In this study, DCS was combined with a time-resolved near-infrared technique (TR-NIR) that can directly measure CBF using indocyanine green as a flow tracer. With this combination, the TR-NIR technique can be used to convert DCS data into absolute CBF measurements. The agreement between the two techniques was assessed by concurrent measurements of CBF changes in piglets. A strong correlation between CBF changes measured by TR-NIR and changes in the scaled diffusion coefficient measured by DCS was observed (R2 = 0.93) with a slope of 1.05 ± 0.06 and an intercept of 6.4 ± 4.3% (mean ± standard error).
机译:神经重症监护的主要重点是预防由缺血引起的继发性脑损伤。连续监测脑血流量(CBF)的无创床旁技术可通过在脑损伤发生之前检测局部缺血来改善患者管理。为此目的有希望的技术是扩散相关光谱法(DCS),因为它可以连续监测深部组织的相对灌注变化。在这项研究中,DCS与时间分辨近红外技术(TR-NIR)结合使用,该技术可以使用吲哚菁绿作为流动示踪剂直接测量CBF。通过这种组合,可以使用TR-NIR技术将DCS数据转换为绝对CBF测量值。通过同时测量仔猪的CBF变化来评估两种技术之间的一致性。观察到TR-NIR测量的CBF变化与DCS测量的比例扩散系数变化之间存在很强的相关性(R2 = 0.93),斜率为1.05±0.06,截距为6.4±4.3%(平均值±标准误差)。

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