项目来源

国家重点研发计划(NKRD)

项目主持人

张鸿祺

项目受资助机构

中国人民解放军第四军医大学

项目编号

2016YFC1300801

立项年度

2016

立项时间

未公开

研究期限

未知 / 未知

项目级别

国家级

受资助金额

89.91万元

学科

重大慢性非传染性疾病防控研究

学科代码

未公开

基金类别

“重大慢性非传染性疾病防控研究”重点专项

关键词

颅内动脉瘤 ; 自然病史 ; 破裂率 ; 风险因素 ; 研究队列 ; 共享数据平台 ; Intracranial Aneurysm ; Nature Course ; Rupture Rate ; Risk Factor ; Cohort ; Public Health and Research Platform

参与者

屈延；李江

首都医科大学宣武医院；北京市神经外科研究所；南方医科大学珠江医院；四川大学华西医院；重庆医科大学附属第一医院；海南省人民医院；河北医科大学第二医院；华中科技大学同济医学院附属同济医院；聊城市人民医院；青海省人民医院；厦门大学附属中山医院；上海交通大学医学院附属仁济医院；石家庄市第一医院；苏州大学附属第一医院；天津市环湖医院；温州医科大学附属第一医院；新疆医科大学第一附属医院；中国医科大学附属第一医院；中南大学湘雅二医院

项目标书摘要：本研究中，搭建了开放性的颅内动脉瘤疾病在线数据库与研究创新平台，建立了全国性的颅内未破裂动脉瘤患者队列。采用大数据分析、生物与影像标志物检测分析、流行病学数据分析等多种研究方式，针对未破裂动脉瘤的发病因素、年破裂率、年增长率、疾病自然病史、破裂风险因素等科学问题进行了深入研究:1建立EDC系统，搭建了全国性的颅内动脉瘤疾病在线数据库与研究创新平台;2建立覆盖全国各地区的 UIA 患者队列，持续入组患者并随访;3对我国颅内未破裂动脉瘤疾病流行病学特征进行描述与分析，阐释颅内未破裂动脉瘤的自然病程;4开展了颅内未破裂动脉瘤发病病因研究等一系列子课题研究，探究了临床特征、影像特征、遗传表型、流体动力学特点等在颅内动脉瘤发病中的作用;5明确了颅内未破裂动脉瘤的破裂率，并分析颅内未破裂动脉瘤患者病情进展及破裂危险因素;6开展了颅内动脉瘤的大数据智能化检出与评价研究，提出了新的半自动化、全自动化识别动脉瘤并评估其参数的方法，以及人工智能判读动脉瘤稳定性的方法。7对颅内未破裂动脉瘤研究成果进行了文献回顾与成果总结，制定了《中国颅内未破裂动脉瘤诊疗指南》。指南中对UIA的流行病学、影像检出、风险评估、介入治疗、开颅治疗及术后随访等方面进行了详细撰写，旨在以最新的循证医学证据指导我国UIA的规范性诊疗。本研究为颅内动脉瘤研究提供了全新的依托平台与丰富的研究资料。通过分析研究临床资料与影像数据，对颅内动脉瘤的发病因素、流行病学特征、自然病史、破裂风险因素、检测与评估手段等相关的科学问题进行了探索研究，为颅内未破裂动脉瘤的诊疗提供了详实的循证医学依据。

Application Abstract: 英文(不超过2500个字符):In this study,an open online database and research innovation platform for intracranial aneurysm diseases was first established,and a nationwide cohort of patients with unruptured intracranial aneurysms was established on this basis.Big data analysis,biological and imaging marker detection analysis,epidemiological data analysis and other research methods were adopted,aiming at the problems of the onset of unruptured aneurysms,annual rupture rate,annual growth rate,natural history of the disease,rupture risk factors and other sciences.1)Established an EDC system and built a nationwide online database and research and innovation platform for intracranial aneurysm diseases;2)Enrolled patients in 20 participating centers across the country,established a UIA patient cohort covering all regions of the country,and continued to enroll and follow up patients;3)Organized the clinical data of the patient cohort,described and analyzed the epidemiological characteristics of unruptured intracranial aneurysms in my country,and explained the natural course of unruptured intracranial aneurysms;4)Relying on the established research platform and database,carried out a series of sub-projects such as the etiology of intracranial unruptured aneurysms,and explored the familial characteristics of clinical features,imaging features,genetic phenotypes,and fluid dynamic characteristics in the role of intracranial aneurysms and sporadic intracranial aneurysms;5)Clarified the rupture rate of unruptured intracranial aneurysms,and analyzed the disease progression and risk factors of rupture in patients with unruptured intracranial aneurysms;6)Carried out the big data intelligent detection and evaluation research of intracranial aneurysm.By using machine learning method to analyze the image data of aneurysm patients,a new semi-automated and fully automated method of identifying aneurysms and evaluating their parameters and the method of artificial intelligence to judge the stability of aneurysm were proposed.It provided a new method to improve the efficiency and accuracy of UIA clinical detection and evaluation.7)Reviewed the literature and summarized the research results of intracranial unruptured aneurysms,and formulated the"Guidelines for the Diagnosis and Treatment of Unruptured Intracranial Aneurysms in China".

项目受资助省

陕西省