机构：[1]Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China,首都医科大学附属天坛医院[2]Department of Neurointerventional Engineering and Technology, Beijing Engineering Research Center, Beijing, China,[3]Department of Neurosurgery, The First People’s Hospital of Lianyungang and The First Affiliated Hospital of Kangda College, Nanjing Medical University, Lianyungang, China,[4]Department of Neurosurgery, The People’s Hospital of Nanpi Country, Cangzhou, China,[5]Department of Emergency, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China,临床科室急诊科河北医科大学第四医院[6]Department of Roradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China首都医科大学附属天坛医院
Background and PurposeUnruptured intracranial aneurysms (UIAs) are increasingly being detected in clinical practice. Artificial intelligence (AI) has been increasingly used to assist diagnostic techniques and shows encouraging prospects. In this study, we reported the protocol and preliminary results of the establishment of an intracranial aneurysm database for AI application based on computed tomography angiography (CTA) images. MethodsThrough a review of picture archiving and communication systems, we collected CTA images of patients with aneurysms between January 2010 and March 2021. The radiologists performed manual segmentation of all diagnosed aneurysms on subtraction CTA as the basis for automatic aneurysm segmentation. Then, AI will be applied to two stages of aneurysm treatment, namely, automatic aneurysm detection and segmentation model based on the CTA image and the aneurysm risk prediction model. ResultsThree medical centers have been included in this study so far. A total of 3,190 cases of CTA examinations with 4,124 aneurysms were included in the database. All identified aneurysms from CTA images that enrolled in this study were manually segmented on subtraction CTA by six readers. We developed a structure of 3D-Unet for aneurysm detection and segmentation in CTA images. The algorithm was developed and tested using a total of 2,272 head CTAs with 2,938 intracranial aneurysms. The recall and false positives per case (FP/case) of this model for detecting aneurysms were 0.964 and 2.01, and the Dice values for aneurysm segmentation were 0.783. ConclusionThis study introduces the protocol and preliminary results of the establishment of the intracranial aneurysm database for AI applications based on CTA images. The establishment of a multicenter database based on CTA images of intracranial aneurysms is the basis for the application of AI in the diagnosis and treatment of aneurysms. In addition to segmentation, AI should have great potential for aneurysm treatment and management in the future.
基金：
National Key Research
and Development Program of China (2017YFB1304400), the
National Natural Science Foundation of China (81901197
and 82171289).
第一作者机构：[1]Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China,[2]Department of Neurointerventional Engineering and Technology, Beijing Engineering Research Center, Beijing, China,
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Wei You,Yong Sun,Junqiang Feng,et al.Protocol and Preliminary Results of the Establishment of Intracranial Aneurysm Database for Artificial Intelligence Application Based on CTA Images[J].FRONTIERS IN NEUROLOGY.2022,13:doi:10.3389/fneur.2022.932933.
APA：
Wei You,Yong Sun,Junqiang Feng,Zhiliang Wang,Lin Li...&Yanling Zhang.(2022).Protocol and Preliminary Results of the Establishment of Intracranial Aneurysm Database for Artificial Intelligence Application Based on CTA Images.FRONTIERS IN NEUROLOGY,13,
MLA：
Wei You,et al."Protocol and Preliminary Results of the Establishment of Intracranial Aneurysm Database for Artificial Intelligence Application Based on CTA Images".FRONTIERS IN NEUROLOGY 13.(2022)
