Study on Monitoring Spinal Cord Blood Flow During Spinal Osteotomy Using a Laser Speckle Imaging System

Author:

Ren Zheng1,Wang Jing1,Guo Le1,Ye Xiaolong1,Xu Chang1,Ma Yuan1

Affiliation:

1. Xinjiang Medical University

Abstract

Abstract

Objective: This study aims to utilize Laser Speckle Imaging (LSI) technology to thoroughly monitor and analyze the changes in spinal cord hemodynamics in rabbits undergoing Posterior Thoracolumbar Spinal Osteotomy (PTSO) surgery. Methods: Initially, we prepared the model for posterior thoracolumbar spine osteotomy.Subsequently, rabbits underwent monitoring using a laser speckle imaging system to document the different stages of spinal shortening,encompassing pre-osteotomy, post-osteotomy, post-shortening, and dural removal. Results: After statistical analysis, the blood perfusion volume of posterior spinal artery before and after osteotomy was significantly different (t=7.413, p=0.001), 95%CI (147.8-280.22). The blood perfusion volume of posterior spinal artery was significantly different before and after osteotomy (t=4.111, p=0.001), 95%CI (55.39 ~ 164.74). There were significant differences in posterior spinal artery perfusion before osteotomy and after dural removal (t=10.472, p=0.001), 95%CI (226.6-336.39). The blood perfusion volume of posterior spinal artery after osteotomy was significantly different from that after osteotomy shortening (t=-6.949, p=0.001), 95%CI (-66.34-6.949). The blood perfusion volume of posterior spinal artery after bone amputation was significantly different from that after dural removal (t=8.167, p=0.001), 95%CI (58.10 ~ 96.85). There were significant differences in posterior spinal artery perfusion between the patients with bone truncation and the patients with dural removal (t=13.227, p=0.001), 95%CI (144.96-197.90). Conclusion: Spinal cord blood flow can be utilized as a monitoring indicator for early prediction of spinal cord injury, while maintaining stable spinal cord blood flow may be a crucial factor in reducing spinal cord damage.

Publisher

Research Square Platform LLC

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