{"title":"脑动脉瘤线圈栓塞后再通的危险因素:第一线圈的重要性及预测模型","authors":"Ken Aoki , Hiroyasu Nagashima , Yuichi Murayama","doi":"10.1016/j.jstrokecerebrovasdis.2025.108333","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Endovascular coil embolization for cerebral aneurysms is a well-established treatment; however, postoperative recanalization remains a risk. This study aimed to clarify risk factors for cerebral aneurysm recanalization after coil embolization and to develop a predictive model for assessing risks.</div></div><div><h3>Methods</h3><div>This retrospective study included patients with cerebral saccular aneurysms who underwent initial coil embolization at our hospital in Tokyo, Japan between 2012 and 2023. The following cases were excluded: follow-up of <1 year, re-treatment and use of bioactive coils. Outcomes included aneurysm characteristics and postoperative Raymond–Roy Occlusion Classification (RROC). Univariate and multivariate Cox proportional hazards models were used to identify independent predictors. A simplified risk score was constructed using LASSO logistic regression and β-coefficients from multivariable analysis. Internal validity was assessed by bootstrap resampling. External validation was performed using an independent cohort and model performance was evaluated in terms of discrimination and calibration.</div></div><div><h3>Results</h3><div>Among the 150 patients with aneurysms, 79 were analyzed after applying exclusion criteria. Multivariate analysis identified four independent predictors of recanalization: rupture status, aneurysm size ≥7 mm, RROC without class I, and first volume embolization ratio <8 %. These variables were incorporated into an integer-based risk score ranging from 0 to 7. The model demonstrated strong discrimination in the internal validation cohort (C-statistic: 0.89), which remained acceptable in the external validation cohort (C-statistic: 0.81, 95 % CI: 0.74–0.89). Risk stratification showed increasing recanalization rates of 1.8 %, 13.5 %, and 41.5 % in low- (0–2), intermediate- (3–4), and high-risk (5–7) groups, respectively. Calibration in the external cohort showed slight overestimation of risk in high-score patients.</div></div><div><h3>Conclusion</h3><div>This study identified four significant risk factors for recanalization after coil embolization and proposed a practical, externally validated risk score. The model provides clinically relevant risk stratification and may support individualized follow-up strategies.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"34 7","pages":"Article 108333"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors for recanalization after coil embolization for cerebral aneurysms: importance of the first coil and prediction model\",\"authors\":\"Ken Aoki , Hiroyasu Nagashima , Yuichi Murayama\",\"doi\":\"10.1016/j.jstrokecerebrovasdis.2025.108333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Endovascular coil embolization for cerebral aneurysms is a well-established treatment; however, postoperative recanalization remains a risk. This study aimed to clarify risk factors for cerebral aneurysm recanalization after coil embolization and to develop a predictive model for assessing risks.</div></div><div><h3>Methods</h3><div>This retrospective study included patients with cerebral saccular aneurysms who underwent initial coil embolization at our hospital in Tokyo, Japan between 2012 and 2023. The following cases were excluded: follow-up of <1 year, re-treatment and use of bioactive coils. Outcomes included aneurysm characteristics and postoperative Raymond–Roy Occlusion Classification (RROC). Univariate and multivariate Cox proportional hazards models were used to identify independent predictors. A simplified risk score was constructed using LASSO logistic regression and β-coefficients from multivariable analysis. Internal validity was assessed by bootstrap resampling. External validation was performed using an independent cohort and model performance was evaluated in terms of discrimination and calibration.</div></div><div><h3>Results</h3><div>Among the 150 patients with aneurysms, 79 were analyzed after applying exclusion criteria. Multivariate analysis identified four independent predictors of recanalization: rupture status, aneurysm size ≥7 mm, RROC without class I, and first volume embolization ratio <8 %. These variables were incorporated into an integer-based risk score ranging from 0 to 7. The model demonstrated strong discrimination in the internal validation cohort (C-statistic: 0.89), which remained acceptable in the external validation cohort (C-statistic: 0.81, 95 % CI: 0.74–0.89). Risk stratification showed increasing recanalization rates of 1.8 %, 13.5 %, and 41.5 % in low- (0–2), intermediate- (3–4), and high-risk (5–7) groups, respectively. Calibration in the external cohort showed slight overestimation of risk in high-score patients.</div></div><div><h3>Conclusion</h3><div>This study identified four significant risk factors for recanalization after coil embolization and proposed a practical, externally validated risk score. The model provides clinically relevant risk stratification and may support individualized follow-up strategies.</div></div>\",\"PeriodicalId\":54368,\"journal\":{\"name\":\"Journal of Stroke & Cerebrovascular Diseases\",\"volume\":\"34 7\",\"pages\":\"Article 108333\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stroke & Cerebrovascular Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1052305725001119\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stroke & Cerebrovascular Diseases","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1052305725001119","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Risk factors for recanalization after coil embolization for cerebral aneurysms: importance of the first coil and prediction model
Background
Endovascular coil embolization for cerebral aneurysms is a well-established treatment; however, postoperative recanalization remains a risk. This study aimed to clarify risk factors for cerebral aneurysm recanalization after coil embolization and to develop a predictive model for assessing risks.
Methods
This retrospective study included patients with cerebral saccular aneurysms who underwent initial coil embolization at our hospital in Tokyo, Japan between 2012 and 2023. The following cases were excluded: follow-up of <1 year, re-treatment and use of bioactive coils. Outcomes included aneurysm characteristics and postoperative Raymond–Roy Occlusion Classification (RROC). Univariate and multivariate Cox proportional hazards models were used to identify independent predictors. A simplified risk score was constructed using LASSO logistic regression and β-coefficients from multivariable analysis. Internal validity was assessed by bootstrap resampling. External validation was performed using an independent cohort and model performance was evaluated in terms of discrimination and calibration.
Results
Among the 150 patients with aneurysms, 79 were analyzed after applying exclusion criteria. Multivariate analysis identified four independent predictors of recanalization: rupture status, aneurysm size ≥7 mm, RROC without class I, and first volume embolization ratio <8 %. These variables were incorporated into an integer-based risk score ranging from 0 to 7. The model demonstrated strong discrimination in the internal validation cohort (C-statistic: 0.89), which remained acceptable in the external validation cohort (C-statistic: 0.81, 95 % CI: 0.74–0.89). Risk stratification showed increasing recanalization rates of 1.8 %, 13.5 %, and 41.5 % in low- (0–2), intermediate- (3–4), and high-risk (5–7) groups, respectively. Calibration in the external cohort showed slight overestimation of risk in high-score patients.
Conclusion
This study identified four significant risk factors for recanalization after coil embolization and proposed a practical, externally validated risk score. The model provides clinically relevant risk stratification and may support individualized follow-up strategies.
期刊介绍:
The Journal of Stroke & Cerebrovascular Diseases publishes original papers on basic and clinical science related to the fields of stroke and cerebrovascular diseases. The Journal also features review articles, controversies, methods and technical notes, selected case reports and other original articles of special nature. Its editorial mission is to focus on prevention and repair of cerebrovascular disease. Clinical papers emphasize medical and surgical aspects of stroke, clinical trials and design, epidemiology, stroke care delivery systems and outcomes, imaging sciences and rehabilitation of stroke. The Journal will be of special interest to specialists involved in caring for patients with cerebrovascular disease, including neurologists, neurosurgeons and cardiologists.