新材料和新技术搭建蛛网膜下腔出血颅内监测系统模型的专家共识  

Expert Consensus on the Construction of a Model for Intracranial Monitoring System of Subarachnoid Hemorrhage Using New Materials and New Technologies

作　　者：李亘 陈杰[1] 苗妍 苟广洋 庄澄宇[1] 孙瑄[2] 刘春秀 Li Gen;Chen Jie;Miao Yan;Gou Guangyang;Zhuang Chengyu;Sun Xuan;Liu Chunxiu(Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200025;BeiJing TIANTAN Hospital,Capital Medical University,Beijing 100070;Aerospace Information Research Institute,Chinses Academy of Science,Beijing 101408)

机构地区：[1]上海交通大学医学院附属瑞金医院,骨科,上海200025 [2]首都医科大学附属北京天坛医院神经病学中心,北京100070 [3]中国科学院空天信息创新研究院传感技术器国家重点实验室,北京101408

出　　处：《青岛医药卫生》2024年第6期401-406,共6页Qingdao Medical Journal

基　　金：国家重点研发项目(2021YFB3200603,2021YFB3200604)。

摘　　要：蛛网膜下腔出血(SAH)是一种致死、致残率较高的脑血管疾病,其病理机制复杂且临床研究面临动物模型稳定性不足、存活率低等挑战。本共识系统总结了传统SAH动物模型的局限性,并提出优化建模技术,显著提高模型稳定性并降低实验动物死亡率。同时结合多通道柔性传感器与3D生物打印支架构建颅内多模态监测系统,实现了颅内压、脑氧分压及脑电活动的实时动态监测,并促进颅骨缺损再生修复。新体系的应用为SAH病理机制解析、新疗法评估及脑机接口研发提供了高可靠性平台。有望推动脑机接口研究成果向临床转化。Subarachnoid hemorrhage(SAH)is a cerebrovascular disease with a high mortality and disability rate.Its pathological mechanism is complex,and clinicalresearch faces challenges such as insufficient stability and low survival rate of animal models.This consensus systematically summarizes the limitations of traditional SAH animal models and proposes optimized modeling techniques,significantly improve model stability and reduce the mortality rate of experimental animals.At the same time,a multi-modal intracranial monitoring system is constructed by combining both multi-channel flexible sensors and 3D bioprinted scaffolds,achieving real-time dynamic monitoring of intracranial pressure,cerebral oxygen partial pressure,and brain electrical activity,promoting the regeneration and repair of cranial bone defects.The application of the new system provides a highly reliable platform for the analysis of SAH pathological mechanisms,the evaluation of new therapies,and the development of brain-computer interfaces.It is expected to promote the clinical transformation of brain-computer interface research results.

关 键 词：蛛网膜下腔出血 3D生物打印支架 多模态监测系统 

分 类 号：R743.35[医药卫生—神经病学与精神病学]