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DOI 10.1007/s10237-022-01607-z

Медицинская библиотека · Biomechanics and modeling in mechanobiology · 2022

Mechanical analysis of deep tissue injury during sitting in patients with spinal cord injury via parametric finite element model.

Chen Yufang, Shen Yixin, Wang Kuan, Qi Yan, Niu Wenxin, Wang Yan

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Аннотация

Spinal cord injury patients are prone to develop deep tissue injury because of long-term mechanical load. However, there is a lack of statistical research on the influence of tissue characteristics on the internal mechanical state of soft tissue. This study aimed to investigate the influence of tissue characteristics on the internal mechanical state of buttock in spinal cord injury patients. A three-dimensional reference buttock model was established and a visualization program was generated to modify the parameter values. Through changing the muscle atrophy, body mass index and the radius of curvature of the ischial tuberosity, 96 different model variants were simulated and validated in this study. With body mass index increasing from 16 to 40, the principal shear stress was 10.4 times principal compressive stress, the maximum shear strain and the max cluster volume increased by 1.2 (P < 0.001) and 8.8 times (P < 0.001), respectively. The interaction between BMI and muscle atrophy was significant when BMI was greater than or equal to 22.5 kg/m2. In all BMI stages, when the radius of curvature of the ischial tuberosity was 19 mm, the internal stress of the tissue always occupies the highest value. The results demonstrate that body mass index is the most important factor affecting the risk of buttock deep tissue injury. This study provides insights into investigation of inter-individual factors influencing the soft tissue response and assessment of deep tissue injury risk during sitting.

Для цитирования: Chen Yufang, Shen Yixin, Wang Kuan, Qi Yan, Niu Wenxin, Wang Yan. Mechanical analysis of deep tissue injury during sitting in patients with spinal cord injury via parametric finite element model.. Biomechanics and modeling in mechanobiology. 2022. DOI: 10.1007/s10237-022-01607-z.

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