Computer-aided assessment of intracranial arterial tortuosity as a predictor of aneurysm occurrence and instability.
Purpose: To evaluate the associations between computer-aided multi-parametric tortuosity indexes and the occurrence and instability of intracranial aneurysms (IAs), and to explore the independence of these associations. Methods: A retrospective analysis was conducted on 705 patients (female: 64.1%,...
| Published in: | Neuroradiology Vol. 68; no. 4; pp. 997 - 1007 |
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| Main Authors: | , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Apr2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193494965&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193494965 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Apr2026 vid: 68 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 193494965 191373640 193494965 193494965 10.1007/s00234-026-03913-0 193494965 ppf: 997 ppct: 10 formats: tig: atl: Computer-aided assessment of intracranial arterial tortuosity as a predictor of aneurysm occurrence and instability. aug: au: Zeng, Li Zhou, Pengyu Zhang, Xiaolan Zhao, Liming Yang, Zhiwen Wang, Yuting affil: https://ror.org/0014a0n68 Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China sug: subj: Intracranial Arterial Diseases Radiography Cerebral Aneurysm Risk Factors Computed Tomography Angiography Image Processing, Computer Assisted Human Retrospective Design Male Female Middle Age Aged Middle Cerebral Artery Univariate Statistics Multivariate Analysis T-Tests Mann-Whitney U Test Wilcoxon Rank Sum Test Chi Square Test Spearman's Rank Correlation Coefficient Post Hoc Analysis Data Analysis Software Funding Source Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Purpose: To evaluate the associations between computer-aided multi-parametric tortuosity indexes and the occurrence and instability of intracranial aneurysms (IAs), and to explore the independence of these associations. Methods: A retrospective analysis was conducted on 705 patients (female: 64.1%, age: 58.58 ± 11.69) who underwent intracranial Computed Tomography Angiography, comprising 235 unstable aneurysm patients, 235 stable aneurysm patients, and 235 healthy controls. Computer-aided analysis quantified relative length (RL), triangular index (TI), and mean curvature (κmean) in bilateral internal carotid arteries (ICAs) and middle cerebral arteries (MCAs). Univariate analysis compared tortuosity parameters within/between groups, and multivariate analysis evaluated independence. Results: Compared with the non-aneurysm side, the ICA aneurysm-bearing side had a higher TI (p = 0.005) at the C6, and a higher RL (p = 0.004), TI (p = 0.003), and κmean (p = 0.009) at the C7. Compared with the healthy arteries from control subjects, the C6 of the ICA aneurysm-bearing arteries had higher κmean (p = 0.002), the C7 had higher TI (p < 0.001) and κmean (p < 0.001), aneurysm-bearing MCAs had higher TI (p < 0.001) and κmean (p = 0.004). Compared with arteries with stable aneurysms, the aneurysm-bearing ICAs in the unstable group had higher TI (p = 0.001) and κmean (p = 0.039), and the aneurysm-bearing MCAs had higher TI (p = 0.044). Multivariate analysis showed that TI (p < 0.001, OR = 4.63) was an independent risk factor for ICA aneurysm instability. Conclusions: Increased intracranial arterial tortuosity is associated with the occurrence and instability of IAs. TI of the aneurysm-bearing arteries is an independent risk factor for the instability of ICA aneurysms. TI tends to have a higher sensitivity than RL. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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