1000张数字减影血管造影对14条脑基底动脉血管直径的评估。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Till Gumbel, Cindy Richter, Christian Martin, Ulf Nestler
{"title":"1000张数字减影血管造影对14条脑基底动脉血管直径的评估。","authors":"Till Gumbel, Cindy Richter, Christian Martin, Ulf Nestler","doi":"10.1038/s41597-025-05908-7","DOIUrl":null,"url":null,"abstract":"<p><p>Angiographic normative values for the size of intracranial vessels are difficult to obtain, since they vary with gender, height and weight. Cerebral angiography only is indicated in severe cerebrovascular diseases, which also can affect cerebral vessel diameters, impeding the definition of physiological values. To approximate \"normal\" values, over 1000 contemporary cerebral angiographies from a single neurovascular centre were analyzed. Diameters of 14 basal cerebral arteries, age at examination, gender and underlying disease were noted. The dataset (SPSS 29, IBM) comprises 1010 digital subtraction angiographies. For example, a significant difference (p < 0.001) in the size of the left carotid artery between male (3.23 mm, n = 361, sd = 0.49) and female (3.09 mm, n = 645, sd = 0.52) patients is found. The data can be used to compute intraindividual indices in given diseases, e.g. whether an enlarged diameter of the right media, calculated as ratio to the left media or to the ipsilateral carotid artery, is associated to cerebral aneurysms. The dataset allows for training of machine learning programs, e.g. to predict ischemic stroke or cerebral hemorrhage.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1543"},"PeriodicalIF":6.9000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417541/pdf/","citationCount":"0","resultStr":"{\"title\":\"Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies.\",\"authors\":\"Till Gumbel, Cindy Richter, Christian Martin, Ulf Nestler\",\"doi\":\"10.1038/s41597-025-05908-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Angiographic normative values for the size of intracranial vessels are difficult to obtain, since they vary with gender, height and weight. Cerebral angiography only is indicated in severe cerebrovascular diseases, which also can affect cerebral vessel diameters, impeding the definition of physiological values. To approximate \\\"normal\\\" values, over 1000 contemporary cerebral angiographies from a single neurovascular centre were analyzed. Diameters of 14 basal cerebral arteries, age at examination, gender and underlying disease were noted. The dataset (SPSS 29, IBM) comprises 1010 digital subtraction angiographies. For example, a significant difference (p < 0.001) in the size of the left carotid artery between male (3.23 mm, n = 361, sd = 0.49) and female (3.09 mm, n = 645, sd = 0.52) patients is found. The data can be used to compute intraindividual indices in given diseases, e.g. whether an enlarged diameter of the right media, calculated as ratio to the left media or to the ipsilateral carotid artery, is associated to cerebral aneurysms. The dataset allows for training of machine learning programs, e.g. to predict ischemic stroke or cerebral hemorrhage.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"1543\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417541/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-05908-7\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05908-7","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

颅内血管尺寸的血管造影标准值很难获得,因为它们随性别、身高和体重而变化。脑血管造影仅适用于严重脑血管疾病,而严重脑血管疾病也会影响脑血管直径,妨碍了生理值的定义。为了接近“正常”值,对来自单个神经血管中心的1000多张当代脑血管造影进行了分析。记录了14条大脑基底动脉的直径、检查时的年龄、性别和潜在疾病。数据集(SPSS 29, IBM)包括1010个数字减影血管造影。例如,一个显著的差异(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies.

Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies.

Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies.

Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies.

Angiographic normative values for the size of intracranial vessels are difficult to obtain, since they vary with gender, height and weight. Cerebral angiography only is indicated in severe cerebrovascular diseases, which also can affect cerebral vessel diameters, impeding the definition of physiological values. To approximate "normal" values, over 1000 contemporary cerebral angiographies from a single neurovascular centre were analyzed. Diameters of 14 basal cerebral arteries, age at examination, gender and underlying disease were noted. The dataset (SPSS 29, IBM) comprises 1010 digital subtraction angiographies. For example, a significant difference (p < 0.001) in the size of the left carotid artery between male (3.23 mm, n = 361, sd = 0.49) and female (3.09 mm, n = 645, sd = 0.52) patients is found. The data can be used to compute intraindividual indices in given diseases, e.g. whether an enlarged diameter of the right media, calculated as ratio to the left media or to the ipsilateral carotid artery, is associated to cerebral aneurysms. The dataset allows for training of machine learning programs, e.g. to predict ischemic stroke or cerebral hemorrhage.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信