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DOI 10.3390/ijms19020491

Медицинская библиотека · International journal of molecular sciences · 2018

In Vivo Evaluation of Cerebral Hemodynamics and Tissue Morphology in Rats during Changing Fraction of Inspired Oxygen Based on Spectrocolorimetric Imaging Technique.

Mustari Afrina, Kanie Takuya, Kawauchi Satoko, Sato Shunichi, Sato Manabu, Kokubo Yasuaki, Nishidate Izumi

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Аннотация

During surgical treatment for cerebrovascular diseases, cortical hemodynamics are often controlled by bypass graft surgery, temporary occlusion of arteries, and surgical removal of veins. Since the brain is vulnerable to hypoxemia and ischemia, interruption of cerebral blood flow reduces the oxygen supply to tissues and induces irreversible damage to cells and tissues. Monitoring of cerebral hemodynamics and alteration of cellular structure during neurosurgery is thus crucial. Sequential recordings of red-green-blue (RGB) images of in vivo exposed rat brains were made during hyperoxia, normoxia, hypoxia, and anoxia. Monte Carlo simulation of light transport in brain tissue was used to specify relationships among RGB-values and oxygenated hemoglobin concentration (CHbO), deoxygenated hemoglobin concentration (CHbR), total hemoglobin concentration (CHbT), hemoglobin oxygen saturation (StO₂), and scattering power b. Temporal courses of CHbO, CHbR, CHbT, and StO₂ indicated physiological responses to reduced oxygen delivery to cerebral tissue. A rapid decrease in light scattering power b was observed after respiratory arrest, similar to the negative deflection of the extracellular direct current (DC) potential in so-called anoxic depolarization. These results suggest the potential of this method for evaluating pathophysiological conditions and loss of tissue viability.

Для цитирования: Mustari Afrina, Kanie Takuya, Kawauchi Satoko, Sato Shunichi, Sato Manabu, Kokubo Yasuaki, Nishidate Izumi. In Vivo Evaluation of Cerebral Hemodynamics and Tissue Morphology in Rats during Changing Fraction of Inspired Oxygen Based on Spectrocolorimetric Imaging Technique.. International journal of molecular sciences. 2018. DOI: 10.3390/ijms19020491.

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