Abstract
Background: Cerebral aneurysms (CA) are a widespread vascular disease affecting 50 per 1000 population. The study of the influence of histological, morphological and hemodynamic factors on the status of the aneurysm has been the subject of many works. However, an accurate and generally accepted relationship has not yet been identified. Methods: In our work, the results of mechanical and spectroscopic measurements are considered. Total investigated 14 patients and 36 their samples of CA tissue. Results: The excitation–emission matrix of each specimen was evaluated, after which the strength characteristics of the samples were investigated. Conclusions: It has been shown that there is a statistically significant difference in the size of the peaks of two components, which characterizes the status of the aneurysms. In addition, a linear regression model has been built that describes the correlation of the magnitude of the ultimate strain and stress with the magnitude of the peaks of one of the components. The results of this study will serve as a basis for the non-invasive determination of the strength characteristics of the cerebral tissue aneurysms and determination of their status.
Highlights
An intracranial or cerebral aneurysm (CA) is a dangerous pathology of the brain vascular system and is diagnosed for 2–5% of the population [1]
Using regression analysis, it was shown that the linear regression law describes the relationship between ultimate stresses, deformation and component contribution by 48% better than comparing the mean values (Figure 8)
The number of studies on the tissue of cerebral aneurysms in living patients has increased significantly. This is primarily due to significant differences between the strength properties of living and cadaveric tissues [22]
Summary
An intracranial or cerebral aneurysm (CA) is a dangerous pathology of the brain vascular system and is diagnosed for 2–5% of the population [1]. The risks of aneurysm rupture and postoperative complications are comparable. This makes the decision for aneurysms treatment controversial since it is unclear whether the aneurysm is going to rupture. The study of the mechanical properties of vascular tissues is necessary for making accurate prognosis. Having a group of integral parameters that describe tissue strength characteristics could be an aid in preoperative modeling of cerebral hemodynamics. The results of this study will serve as a basis for the non-invasive determination of the strength characteristics of the cerebral tissue aneurysms and determination of their status
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