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Gui S, Chen X, Wei D, Deng D, You W, Meng X, Lv J, Feng J, Tang Y, Yang S, Chen T, Liu P, Ge H, Jin H, Liu X, Jiang Y, Feng W, Li Y. Long-term outcomes and dynamic changes of in-stent stenosis after Pipeline embolization device treatment of intracranial aneurysms. J Neurointerv Surg 2023; 15:1187-1193. [PMID: 36690440 DOI: 10.1136/jnis-2022-019680] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/05/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND Flow diverters have revolutionized the treatment of intracranial aneurysms. However, the delayed complications associated with flow diverter use are unknown. OBJECTIVE To evaluate the incidence, severity, clinical outcomes, risk factors, and dynamic changes associated with in-stent stenosis (ISS) after treatment with a Pipeline embolization device (PED). METHODS Patients who underwent PED treatment between 2015 and 2020 were enrolled. The angiographic, clinical, and follow-up data of 459 patients were independently reviewed by four neuroradiologists to identify ISS. Binary logistic regression was conducted to determine ISS risk factors, and an ISS-time curve was established to demonstrate dynamic changes in ISS after PED implantation. RESULTS Of the 459 treated patients, 69 (15.0%) developed ISS. At follow-up, nine patients (2.0%) with ISS demonstrated reversal, while 18 (3.9%) developed parental artery occlusion. A total of 380 patients (82.8%) achieved complete aneurysm occlusion (O'Kelly-Marotta grade D). Patients with posterior-circulation aneurysm (OR=2.895, 95% CI (1.732 to 4.838; P<0.001) or balloon angioplasty (OR=1.992, 95% CI 1.162 to 3.414; P=0.037) were more likely to develop ISS. Patients aged >54 years (OR=0.464, 95% CI 0.274 to 0.785; P=0.006) or with a body mass index of >28 kg/m2 (OR=0.427, 95% CI 0.184 to 0.991; P=0.026) had a lower ISS risk. Intimal hyperplasia initiated by PED placement peaked within 1 year after the procedure, rarely progressed after 12 months, and tended to reverse within 24 months. CONCLUSIONS ISS is a common, benign, and self-limiting complication of PED implantation in the Chinese population.
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Affiliation(s)
- Siming Gui
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xiheng Chen
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Dachao Wei
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Dingwei Deng
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Wei You
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xiangyu Meng
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Jian Lv
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Junqiang Feng
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yudi Tang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Shu Yang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Ting Chen
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Peng Liu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
| | - Huijian Ge
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
| | - Hengwei Jin
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
| | - Xinke Liu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
| | - Yuhua Jiang
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
| | - Wei Feng
- Department of Epidemiology and Health Statistics, Capital Medical University, Beijing, China
| | - Youxiang Li
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
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Sirakov A, Stoyanov N, Velchev V, Sirakov S. And don't forget your anti in-stent stenosis pill! Commentary on 'Factors associated with in-stent stenosis after cerebral aneurysm embolization using a Pipeline embolization device' by Flores-Milan et al. Interv Neuroradiol 2023; 29:211-213. [PMID: 35274998 PMCID: PMC10152823 DOI: 10.1177/15910199221082443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In their INR study, Flores-Milan et al. present a retrospective single-centre study that aimed to investigate and determine some of the factors associated with in-stent stenosis (ISS) after intracranial aneurysm (IA) embolization using a commercially available flow diverter stent (FD). The retrospective analyses included ruptured and unruptured intracranial aneurysms treated with standalone flow diverter stent implantation or initial coil obliteration with the FD device placed subsequently two weeks after initial treatment. The article's methodology was carefully tailored to demystify the unknown pathophysiological mechanism behind the entity of interest called in-stent stenosis. Study outcomes also included angiographic evaluation of aneurysm occlusion thrombotic and hemorrhagic events. The authors reported excellent technical and clinical results altogether. The achieved angiographic occlusion rates resonate with the current obliteration results reported in the literature. Mortality and morbidity are congruent with previously published results and were 5.3% and 1.1%, respectively.
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Affiliation(s)
- Alexander Sirakov
- Interventional Radiology department, UH St Ivan Rilski, Sofia, Bulgaria
| | | | - Vasil Velchev
- Cardiology department, St Anna hospital, Sofia, Bulgaria
| | - Stanimir Sirakov
- Interventional Radiology department, UH St Ivan Rilski, Sofia, Bulgaria
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Wang X, Turhon M, Yang X, Liu J, Zhang H, Li T, Song D, Zhao Y, Guan S, Maimaitili A, Wang Y, Feng W, Wan J, Mao G, Shi H, An Z, Wang Y. Could statin improve outcomes after pipeline embolization for intracranial aneurysms in a real-world setting? Ther Adv Neurol Disord 2023; 16:17562864231170517. [PMID: 37187463 PMCID: PMC10176586 DOI: 10.1177/17562864231170517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/30/2023] [Indexed: 05/17/2023] Open
Abstract
Background Several pharmacological pathways have revealed statin to have a positive role in patients with for intracranial aneurysms. However, prior studies regarding the association between statin use and patients' outcomes after pipeline embolization device (PED) treatment were not completely supportive. Objectives To investigate whether statin medication following PED treatment would improve the outcomes of intracranial aneurysm patients in a real-world setting. Design A retrospective multicenter cohort study. Methods Patients were selected from the PLUS registry study conducted from November 2014 to October 2019 across 14 centers in China. The population was divided into two groups: those who received statin medication after the PED treatment and those who did not receive statin medication after PED treatment. Study outcomes included angiographic evaluation of aneurysm occlusion, parent arteries stenosis, ischemic and hemorrhage complications, all-cause mortality, neurologic mortality, and functional outcome. Results 1087 patients with 1168 intracranial aneurysms were eligible; 232 patients were in the statin user group and the other 855 were in the non-statin user group. For the statin user group versus the non-statin user group, no significant difference was found for the primary outcomes of complete occlusion of aneurysm (82.4% versus 84.2%; p = 0.697). Of the secondary outcomes, none had a significant difference including stenosis of parent arteries ≥ 50% (1.4% versus 2.3%; p = 0.739), total subarachnoid hemorrhage (0.9% versus 2.5%; p = 0.215), all-cause mortality (0.0% versus 1.9%; p = 0.204), neurologic mortality (0.0% versus 1.6%; p = 0.280), excellent (95.5% versus 97.2%; p = 0.877), and favorable (98.9% versus 98.4%; p = 0.933) functional outcomes. The total ischemic complication rate (9.0% versus 7.1%; p = 0.401) was higher but not significant in the statin user group. The propensity score-matched cohort showed similar results. Results of binary multivariable logistic regression analysis and propensity score-matched analysis both showed that statin usage was not independently associated with an increased rate of complete occlusion or any other secondary outcomes. Subgroup analysis found the same result in patients who did not use statin before the procedure. Conclusion Among patients with intracranial aneurysms, statin use after the PED treatment was not significantly associated with better angiographic and clinical outcomes. Well-designed studies are needed to further confirm this finding.
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Affiliation(s)
- Xinrui Wang
- Department of Pharmacy, Beijing Chaoyang
Hospital, Capital Medical University, Beijing, People’s Republic of
China
| | - Mirzat Turhon
- Department of Interventional Neuroradiology,
Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s
Republic of China
- Department of Interventional Neuroradiology,
Beijing Neurosurgical Institute, Capital Medical University, Beijing,
People’s Republic of China
| | - Xinjian Yang
- Department of Interventional Neuroradiology,
Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s
Republic of China
- Department of Interventional Neuroradiology,
Beijing Neurosurgical Institute, Capital Medical University, Beijing,
People’s Republic of China
| | - Jianmin Liu
- Department of Neurosurgery, Changhai Hospital,
Shanghai, People’s Republic of China
| | - Hongqi Zhang
- Department of Neurosurgery, Xuanwu Hospital,
Capital Medical University, Beijing, People’s Republic of China
| | - Tianxiao Li
- Department of Neurosurgery, Zhengzhou
University People’s Hospital, Zhengzhou, People’s Republic of China
| | - Donglei Song
- Department of Neurosurgery, Shanghai Donglei
Brain Hospital, Shanghai, People’s Republic of China
| | - Yuanli Zhao
- Department of Neurosurgery, Peking University
International Hospital, Beijing, People’s Republic of China
| | - Sheng Guan
- Department of Intervention Neuroradiology,
First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s
Republic of China
| | - Aisha Maimaitili
- Department of Neurosurgery, First Affiliated
Hospital of Xinjiang Medical University, Urumqi, People’s Republic of
China
| | - Yunyan Wang
- Department of Neurosurgery, Qilu Hospital,
Shandong University, Jinan, People’s Republic of China
| | - Wenfeng Feng
- Department of Neurosurgery, Nanfang Hospital,
Southern Medical University, Guangzhou, People’s Republic of China
| | - Jieqing Wan
- Department of Neurosurgery, Shanghai Jiao Tong
University School of Medicine Affiliated Renji Hospital, Shanghai, People’s
Republic of China
| | - Guohua Mao
- Department of Neurosurgery, Second Affiliated
Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Huaizhang Shi
- Department of Neurosurgery, First Affiliated
Hospital of Harbin Medical University, Harbin, People’s Republic of
China
| | - Zhuoling An
- Department of Pharmacy, Beijing Chaoyang
Hospital, Capital Medical University, No. 8 Gongtinan Road, Chaoyang
District, Beijing 10020, People’s Republic of China
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Turhon M, Kang H, Liu J, Zhang Y, Zhang Y, Huang J, Wang K, Li M, Liu J, Zhang H, Li T, Song D, Zhao Y, Luo B, Maimaiti A, Aisha M, Wang Y, Feng W, Wang Y, Wan J, Mao G, Shi H, Yang X, Guan S. In-Stent Stenosis After Pipeline Embolization Device in Intracranial Aneurysms: Incidence, Predictors, and Clinical Outcomes. Neurosurgery 2022; 91:943-951. [PMID: 36129281 DOI: 10.1227/neu.0000000000002142] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 07/04/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND In-stent stenosis (ISS) is a delayed complication that can occur after pipeline embolization device use when treating intracranial aneurysms (IAs). OBJECTIVE To assess the incidence, predictors, and outcomes of ISS. METHODS This was a retrospective, multicenter, observational study. All patient data were collected from a PLUS registry study. We collected data from patients with IA who completed digital subtraction angiography at follow-up and divided patients into "non-ISS," "mild ISS," or "severe ISS" groups. Multivariate logistic regression analysis was conducted to determine predictors of ISS. RESULTS A total of 1171 consecutive patients with 1322 IAs participated in this study. Angiographic follow-up was available for 662 patients with 728 IAs, and the mean follow-up time was 9 months. ISS was detected in 73 cases (10.03%), including 61 mild ISS cases and 12 severe ISS cases. Univariate and multivariable analysis demonstrated that current smoking history (mild ISS: OR 2.15, 95% CI 1.122-4.118, P = .021; severe ISS: OR 5.858, 95% CI 1.186-28.93, P = .030) and cerebral atherosclerosis (mild ISS: OR 5.694, 95% CI 3.193-10.15, P = .001; severe ISS: OR 6.103, 95% CI 1.384-26.91, P = .017) were independent predictors of ISS. Compared with the other groups, the severe ISS group had higher rate of ischemic stroke (33.3%). CONCLUSION ISS occurs in approximately 10.03% of cases at a mean follow-up of 9 months. Statistically, current smoking history and cerebral atherosclerosis are the main predictors of ISS. Severe ISS may be associated with higher risk of neurological ischemic events in patients with IA after pipeline embolization device implantation.
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Affiliation(s)
- Mirzat Turhon
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Huibin Kang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jian Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yisen Zhang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Ying Zhang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jiliang Huang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Kun Wang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Mengxing Li
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jianmin Liu
- Department of Neurosurgery, Changhai Hospital, Shanghai, People's Republic of China
| | - Hongqi Zhang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Tianxiao Li
- Department of Neurosurgery, Zhengzhou University People's Hospital, Zhengzhou, People's Republic of China
| | - Donglei Song
- Department of Neurosurgery, Shanghai Donglei Brain Hospital, Shanghai, People's Republic of China
| | - Yuanli Zhao
- Department of Neurosurgery, Peking University International Hospital, Beijing, People's Republic of China
| | - Bin Luo
- Department of Neurosurgery, Peking University International Hospital, Beijing, People's Republic of China
| | - Aierpati Maimaiti
- Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, People's Republic of China
| | - Maimaitili Aisha
- Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, People's Republic of China
| | - Yunyan Wang
- Department of Neurosurgery, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Wenfeng Feng
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Yang Wang
- Department of Neurosurgery, First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.,Department of Neurosurgery, Beijing ChaoYang Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jieqing Wan
- Department of Neurosurgery, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, People's Republic of China
| | - Guohua Mao
- Department of Neurosurgery, Nanchang University Second Affiliated Hospital, Nanchang, People's Republic of China
| | - Huaizhang Shi
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China
| | - Xinjian Yang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Department of Interventional Neuroradiology, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Sheng Guan
- Department of Intervention Neuroradiology, Zhengzhou University First Affiliated Hospital, Zhengzhou, People's Republic of China
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5
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Nariai Y, Takigawa T, Hyodo A, Suzuki K. Thromboembolic Events Detected by Diffusion-Weighted Magnetic Resonance Imaging after Flow Diverter Treatment: The Impact of Procedure Time. World Neurosurg 2022; 167:e1241-e1252. [PMID: 36089273 DOI: 10.1016/j.wneu.2022.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Periprocedural thromboembolism is a serious complication of endovascular treatment for intracranial aneurysms. In addition to symptomatic ischemia, asymptomatic postprocedural diffusion-weighted image-positive lesions (DPLs) are considered important. However, few studies have reported significant risk factors associated with DPLs and symptomatic ischemic stroke after flow diverter (FD) treatment. This study aimed to investigate the frequency and risk factors associated with DPLs after FD treatment. METHODS Between November 2015 and December 2021, 84 patients harboring 85 untreated, unruptured intracranial aneurysms treated with FD were enrolled. RESULTS DPLs after FD treatment were confirmed in 74 patients (87.1%), among whom 69 (93.2%) were clinically asymptomatic. In the univariate analyses, age >55 years (P = 0.040), smoking (P = 0.023), preprocedural P2Y12 reaction unit value of >185 (P = 0.030), larger dome size of >9.3 mm (P = 0.013), and prolonged procedure time >80 minutes (P < 0.001) were significantly associated with postprocedural DPLs. In the multiple logistic regression model, only prolonged procedure time >80 minutes (odds ratio, 10.72; 95% confidence interval, 1.346-233.899; P = 0.023) was statistically significant. The mediator effect showed that the association between procedure time and the occurrence of DPLs was not significantly modified by any other factors, although only adjunctive coiling showed a tendency (P-value for interaction = 0.070). CONCLUSIONS Prolonged procedure time >80 minutes was the only identifiable factor related to postprocedural DPLs. Adjunctive coiling tended to mediate the effects of a prolonged procedure time on the occurrence of DPLs after FD treatment.
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Affiliation(s)
- Yasuhiko Nariai
- Department of Neurosurgery, Dokkyo Medical University Saitama Medical Center, Saitama, Japan.
| | - Tomoji Takigawa
- Department of Neurosurgery, Dokkyo Medical University Saitama Medical Center, Saitama, Japan
| | - Akio Hyodo
- Department of Neurosurgery, Dokkyo Medical University Saitama Medical Center, Saitama, Japan
| | - Kensuke Suzuki
- Department of Neurosurgery, Dokkyo Medical University Saitama Medical Center, Saitama, Japan
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6
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Wei D, Deng D, Gui S, You W, Feng J, Meng X, Chen X, Lv J, Tang Y, Chen T, Liu P. Machine learning to predict in-stent stenosis after Pipeline embolization device placement. Front Neurol 2022; 13:912984. [PMID: 36147044 PMCID: PMC9486156 DOI: 10.3389/fneur.2022.912984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/15/2022] [Indexed: 11/23/2022] Open
Abstract
Background The Pipeline embolization device (PED) is a flow diverter used to treat intracranial aneurysms. In-stent stenosis (ISS) is a common complication of PED placement that can affect long-term outcome. This study aimed to establish a feasible, effective, and reliable model to predict ISS using machine learning methodology. Methods We retrospectively examined clinical, laboratory, and imaging data obtained from 435 patients with intracranial aneurysms who underwent PED placement in our center. Aneurysm morphological measurements were manually measured on pre- and posttreatment imaging studies by three experienced neurointerventionalists. ISS was defined as stenosis rate >50% within the PED. We compared the performance of five machine learning algorithms (elastic net (ENT), support vector machine, Xgboost, Gaussian Naïve Bayes, and random forest) in predicting ISS. Shapley additive explanation was applied to provide an explanation for the predictions. Results A total of 69 ISS cases (15.2%) were identified. Six predictors of ISS (age, obesity, balloon angioplasty, internal carotid artery location, neck ratio, and coefficient of variation of red cell volume distribution width) were identified. The ENT model had the best predictive performance with a mean area under the receiver operating characteristic curve of 0.709 (95% confidence interval [CI], 0.697–0.721), mean sensitivity of 77.9% (95% CI, 75.1–80.6%), and mean specificity of 63.4% (95% CI, 60.8–65.9%) in Monte Carlo cross-validation. Shapley additive explanation analysis showed that internal carotid artery location was the most important predictor of ISS. Conclusion Our machine learning model can predict ISS after PED placement for treatment of intracranial aneurysms and has the potential to improve patient outcomes.
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Affiliation(s)
- Dachao Wei
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Dingwei Deng
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Siming Gui
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Wei You
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Junqiang Feng
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xiangyu Meng
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xiheng Chen
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Jian Lv
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yudi Tang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Ting Chen
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Peng Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
- *Correspondence: Peng Liu
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