Ferrari M, Wilson D A, Hanley D F, Hartmann J F, Traystman R J
Department of Biomedical Sciences and Technology, University of L'Aquila, Italy.
Adv Exp Med Biol. 1989;248:47-53. doi: 10.1007/978-1-4684-5643-1_6.
An "in vivo" method for non-invasive determination of cerebral venous hemoglobin O2 saturation (SvO2) was developed. A specially designed spectrophotometer recorded the Td near IR spectra of transilluminated brain tissue surrounding the SS. The accuracy of the method, based on the principle of DNIRS was tested on eight pentobarbital anesthetized dogs during hypoxic hypoxia (inspired O2 6-21%). Spectral data were transformed into first derivative for correlation with SvO2 data measured from the SS. Linear regression analyses were applied using data from 5 dogs, with SvO2 ranging from 1.5%-70%, to build a 3 wavelength algorithm for predicting brain SvO2. In three dogs, this regression equation was employed to predict SvO2 in 31 separate spectra of varying HH intensity. The standard deviation of differences between SvO2 and predicted values was 3.2%. The predicted values, when regressed against the sampled SvO2, yielded an r value of 0.97. The results demonstrate that it is possible to noninvasively quantify SvO2 utilizing IR spectroscopy.
开发了一种用于无创测定脑静脉血红蛋白氧饱和度（SvO2）的“体内”方法。一台专门设计的分光光度计记录了围绕上矢状窦的透照脑组织的近红外光谱的时间分辨（Td）光谱。基于双波长近红外光谱（DNIRS）原理的该方法的准确性，在八只戊巴比妥麻醉的犬处于低氧性缺氧（吸入氧浓度6%-21%）期间进行了测试。光谱数据被转换为一阶导数，以与从上矢状窦测量的SvO2数据进行相关性分析。使用五只犬的数据进行线性回归分析，SvO2范围为1.5%-70%，以建立一个用于预测脑SvO2的三波长算法。在三只犬中，该回归方程被用于预测31个不同低氧性缺氧强度的独立光谱中的SvO2。SvO2与预测值之间差异的标准差为3.2%。当预测值与采样的SvO2进行回归分析时，得到的r值为0.97。结果表明，利用红外光谱法无创定量测定SvO2是可行的。
