Literature DB >> 27838925

On the assessment of bridging vein rupture associated acute subdural hematoma through finite element analysis.

Zhao Ying Cui1, Nele Famaey1, Bart Depreitere2, Jan Ivens3, Svein Kleiven4, Jos Vander Sloten1.   

Abstract

Acute subdural hematoma (ASDH) is a type of intracranial haemorrhage following head impact, with high mortality rates. Bridging vein (BV) rupture is a major cause of ASDH, which is why a biofidelic representation of BVs in finite element (FE) head models is essential for the successful prediction of ASDH. We investigated the mechanical behavior of BVs in the KTH FE head model. First, a sensitivity study quantified the effect of loading conditions and mechanical properties on BV strain. It was found that the peak rotational velocity and acceleration and pulse duration have a pronounced effect on the BV strains. Both Young's modulus and diameter are also negatively correlated with the BV strains. A normalized multiple linear regression model using Young's modulus, outer diameter and peak rotational velocity to predict the BV strain yields an adjusted [Formula: see text]-value of 0.81. Secondly, cadaver head impact experiments were simulated with varying sets of mechanical properties, upon which the amount of successful BV rupture predictions was evaluated. The success rate fluctuated between 67 and 75%. To further increase the predictive capability of FE head models w.r.t. BV rupture, future work should be directed towards improvement of the BV representation, both geometrically and mechanically.

Entities:  

Keywords:  Bridging veins; acute subdural hematoma; finite element modelling; head impact; mechanical properties

Mesh:

Year:  2016        PMID: 27838925     DOI: 10.1080/10255842.2016.1255942

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  A Finite Element Model of Cerebral Vascular Injury for Predicting Microbleeds Location.

Authors:  Harry Duckworth; Adriana Azor; Nikolaus Wischmann; Karl A Zimmerman; Ilaria Tanini; David J Sharp; Mazdak Ghajari
Journal:  Front Bioeng Biotechnol       Date:  2022-04-20

2.  Smoothed particle hydrodynamic modelling of the cerebrospinal fluid for brain biomechanics: Accuracy and stability.

Authors:  Harry Duckworth; David J Sharp; Mazdak Ghajari
Journal:  Int J Numer Method Biomed Eng       Date:  2021-02-09       Impact factor: 2.747

  2 in total

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