Statistical evaluation of measured biomechanical properties of human brain aneurysm samples

Tóth, Brigitta Krisztina and Lengyel, András and Nyáry, István (2024) Statistical evaluation of measured biomechanical properties of human brain aneurysm samples. IDEGGYOGYASZATI SZEMLE / CLINICAL NEUROSCIENCE, 77 (5-6). pp. 177-185. ISSN 0019-1442

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Abstract

Background and purpose – Human brain aneurysms may often prove fatal if not re cognized in time and treated accordingly. The understanding of development and rupture of aneurysms can significantly be im proved by the application of numerical mod elling, which in turn, requires the knowledge of mechanical properties of vessel wall. This study aims to identify assumed differences with respect to age, sex, spatial orientation, and rupture by utilizing detailed statistical analysis of uniaxial tensile measurements of human brain aneurysm samples, performed by the authors in a previous project. Methods – At surgery of 42 patients, aneu rysm fundi were cut distally to the clip. In each case, depending on size, varying num ber of stripes (altogether 88) were prepared and uniaxial stressstrain measurements were performed. Quantities related to the capacity, energy absorption or stiffness were determined and statistically analysed. Results – The number of specimens in the aneurysm sample was sufficient to establish statistical differences with respect to sex and rupture (p<0.05). No significant differences were detected in orientation, though higher values of stresses and deformations were ob tained in the circumferential direction com pared to the meridional direction. Conclusion – Significant differences bet ween sexes with respect to ultimate defor mations were demonstrated according to expectation, and the hypothesis on equal ity of energy capacity could be supported. Similarity of curves with respect to specimen orientation was also observed and ruptured aneurysm sacs tended to be smaller in size. It seems that differences and trends de scribed in this paper are realistic and need to be applied in numerical modelling.

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