流离失所(心理学)
医学
椎间盘
生物力学
运动范围
口腔正畸科
解剖
生物医学工程
外科
心理学
心理治疗师
作者
Zhijun Yang,Shuai Ji,Hui Yang,Tao Ma,Yi Fang,Zhicheng Wang,Miaomiao Liu,Ping Zhou,Zheng Bao,Chang Chun Zhang,Yu Ye
出处
期刊:Neurospine
[The Korean Spinal Neurosurgery Society (KAMJE)]
日期:2024-03-31
卷期号:21 (1): 273-285
标识
DOI:10.14245/ns.2347076.538
摘要
This study aimed to evaluate the effects of 2 endoscopic spine surgeries on the biomechanical properties of normal and osteoporotic spines.Based on computed tomography images of a healthy adult volunteer, 6 finite element models were created. After validating the normal intact model, a concentrated force of 400 N and a moment of 7.5 Nm were exerted on the upper surface of L3 to simulate 6 physiological activities of the spine. Five types of indices were used to assess the biomechanical properties of the 6 models, range of motion (ROM), maximum displacement value, intervertebral disc stress, maximum stress value, and articular protrusion stress, and by combining them with finite element stress cloud.In normal and osteoporotic spines, there was no meaningful change in ROM or disc stress in the 2 surgical models for the 6 motion states. Model N1 (osteoporotic percutaneous transforaminal endoscopic discectomy model) showed a decrease in maximum displacement value of 20.28% in right lateral bending. Model M2 (unilateral biportal endoscopic model) increased maximum displacement values of 16.88% and 17.82% during left and right lateral bending, respectively. The maximum stress value of L4-5 increased by 11.72% for model M2 during left rotation. In addition, using the same surgical approach, ROM, maximum displacement values, disc stress, and maximum stress values were more significant in the osteoporotic model than in the normal model.In both normal and osteoporotic spines, both surgical approaches were less disruptive to the physiologic structure of the spine. Furthermore, using the same endoscopic spine surgery, normal spine biomechanical properties are superior to osteoporotic spines.
科研通智能强力驱动
Strongly Powered by AbleSci AI