Development of a Prognostic Mathematical Model for Traumatic Liver Damage

Intra-abdominal bleeding is a leading cause of adverse outcomes in liver trauma, underscoring the critical importance of timely surgical intervention and optimal hemostasis strategies. This study investigates the impact of liver model segmentation on the distribution of mechanical stresses during impact simulation using the finite element method. By discretizing a computer-aided design (CAD) model into finite elements of two types – 4-node linear isoparametric elements for the parenchyma and 3-node Kirchhoff plate elements for intersegmental partitions – we developed a computational liver model adequately captures the organ's anatomy. Our results show that incorporating segmentation significantly affects the simulation outcomes, enabling a more realistic assessment of tissue damage patterns upon impact. This approach facilitates the simulation of a wide range of real-world traumatic effects, allowing for arbitrary specification of impact direction, speed, and affected area. By accounting for liver segmentation, our study provides a more accurate and comprehensive understanding of traumatic liver injuries, ultimately informing clinical decision-making and improving patient outcomes.

Authors

Publication Details

Journal
Актуальные проблемы медицины
Published
2024-09-30
DOI
https://doi.org/10.52575/2687-0940-2024-47-3-418-434
Primary Topic
Abdominal Trauma and Injuries
Type
article
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article

Development of a Prognostic Mathematical Model for Traumatic Liver Damage

Sergey Barannikov, A. K. Vorontsov, Yuriy A. Parkhisenko, Evgeniy Cherednikov et al.
1 links
Актуальные проблемы медицины
Abdominal Trauma and Injuries
article

Development of a Prognostic Mathematical Model for Traumatic Liver Damage

Sergey Barannikov, A. K. Vorontsov, Yuriy A. Parkhisenko, Evgeniy Cherednikov, А. А. Безалтынных, Anton V. Korsakov, Vladislav P. Troshin, Aleksandr A. Olshevskiy, Aleksandr S. Sukharukov
article en

Abstract

Intra-abdominal bleeding is a leading cause of adverse outcomes in liver trauma, underscoring the critical importance of timely surgical intervention and optimal hemostasis strategies. This study investigates the impact of liver model segmentation on the distribution of mechanical stresses during impact simulation using the finite element method. By discretizing a computer-aided design (CAD) model into finite elements of two types – 4-node linear isoparametric elements for the parenchyma and 3-node Kirchhoff plate elements for intersegmental partitions – we developed a computational liver model adequately captures the organ's anatomy. Our results show that incorporating segmentation significantly affects the simulation outcomes, enabling a more realistic assessment of tissue damage patterns upon impact. This approach facilitates the simulation of a wide range of real-world traumatic effects, allowing for arbitrary specification of impact direction, speed, and affected area. By accounting for liver segmentation, our study provides a more accurate and comprehensive understanding of traumatic liver injuries, ultimately informing clinical decision-making and improving patient outcomes.

Актуальные проблемы медициныVol. 47(3)
Openalex Percentile: Top 67%
Abdominal Trauma and Injuries
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