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Lu T, He Y, Liu Z, Ma C, Chen S, Jia R, Duan L, Guo C, Liu Y, Guo D, Li T, He Y. A machine learning-derived gene signature for assessing rupture risk and circulatory immunopathologic landscape in patients with intracranial aneurysms. Front Cardiovasc Med 2023; 10:1075584. [PMID: 36844725 PMCID: PMC9950511 DOI: 10.3389/fcvm.2023.1075584] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/30/2023] [Indexed: 02/12/2023] Open
Abstract
Background Intracranial aneurysm (IA) is an uncommon but severe subtype of cerebrovascular disease, with high mortality after aneurysm rupture. Current risk assessments are mainly based on clinical and imaging data. This study aimed to develop a molecular assay tool for optimizing the IA risk monitoring system. Methods Peripheral blood gene expression datasets obtained from the Gene Expression Omnibus were integrated into a discovery cohort. Weighted gene co-expression network analysis (WGCNA) and machine learning integrative approaches were utilized to construct a risk signature. QRT-PCR assay was performed to validate the model in an in-house cohort. Immunopathological features were estimated using bioinformatics methods. Results A four-gene machine learning-derived gene signature (MLDGS) was constructed for identifying patients with IA rupture. The AUC of MLDGS was 1.00 and 0.88 in discovery and validation cohorts, respectively. Calibration curve and decision curve analysis also confirmed the good performance of the MLDGS model. MLDGS was remarkably correlated with the circulating immunopathologic landscape. Higher MLDGS scores may represent higher abundance of innate immune cells, lower abundance of adaptive immune cells, and worse vascular stability. Conclusions The MLDGS provides a promising molecular assay panel for identifying patients with adverse immunopathological features and high risk of aneurysm rupture, contributing to advances in IA precision medicine.
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Affiliation(s)
- Taoyuan Lu
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China
| | - Yanyan He
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Chi Ma
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China
| | - Song Chen
- Translational Research Institute, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Rufeng Jia
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China
| | - Lin Duan
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China
| | - Chunguang Guo
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yiying Liu
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Dehua Guo
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China
| | - Tianxiao Li
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China,Tianxiao Li,
| | - Yingkun He
- Department of Cerebrovascular Disease and Neurosurgery, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, Henan, China,Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial NeuroInterventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Intervention Innovation, Zhengzhou, China,*Correspondence: Yingkun He,
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Li L, Shao QJ, Li TX, Wang ZL, Zhang K, Gao BL. Effect and safety of Tubridge flow diverter in the treatment of unruptured intracranial aneurysms. Medicine (Baltimore) 2022; 101:e31672. [PMID: 36550831 PMCID: PMC9771248 DOI: 10.1097/md.0000000000031672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The effect and safety of the Tubridge flow diverting device are unknown in the treatment of intracranial aneurysms after optimization of the device, improvement in the deployment of the device, and accumulation of experience of using the device. This retrospective one-center study was performed to investigate the clinical effect and safety of the Tubridge flow diverting device in the treatment of unruptured intracranial aneurysms. Twenty-three patients with 33 unruptured intracranial aneurysms which were treated with the Tubridge device were retrospectively enrolled. The clinical data, endovascular procedure, complications, and follow-up were analyzed. Twenty-seven Tubridge devices were deployed to treat the 33 aneurysms, and the deployment was failed in 1 case, resulting in the success stenting rate of 96.3%. In 5 (15.2%) aneurysms, coils were loosely packed. Peri-procedural complications occurred in 2 patients (8.7%), including 1 procedure-related complication in which the distal end of a Tubridge device herniated into the aneurysm cavity. In another case, weakness of left upper limb occurred on the second day post procedure, with instent thrombosis being suspected, which was recovered after medication. No other complications occurred. Twenty-three (100%) patients had clinical follow-up 6 months later, with the mRS of 0 in 21 patients, 1 in 1, and 2 in 1. Five (21.7%) patients with 11 aneurysms underwent digital subtraction angiography at 6-month follow-up, with 8 aneurysms being completely occluded (Raymond grade I) and 3 aneurysms still visible (Raymond grade III). The Tubridge flow diverter may be safe and effective in the treatment of unruptured intracranial aneurysms with low perioperative complications and good follow-up outcomes even though multi-center and prospective clinical studies with a large size sample are still needed to validate these results.
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Affiliation(s)
- Li Li
- Henan Provincial People’s Hospital, Zhengzhou University, Zhengzhou, China
| | - Qiu-Ji Shao
- Henan Provincial People’s Hospital, Zhengzhou University, Zhengzhou, China
| | - Tian-Xiao Li
- Henan Provincial People’s Hospital, Zhengzhou University, Zhengzhou, China
- * Correspondence: Tian-Xiao Li, Henan Provincial People’s Hospital, Zhengzhou University, 7 Weiwu Road, Zhengzhou, Henan Province 450000, China (e-mail: )
| | - Zi-Liang Wang
- Henan Provincial People’s Hospital, Zhengzhou University, Zhengzhou, China
| | - Kun Zhang
- Henan Provincial People’s Hospital, Zhengzhou University, Zhengzhou, China
| | - Bu-Lang Gao
- Henan Provincial People’s Hospital, Zhengzhou University, Zhengzhou, 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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Li L, Gao BL, Shao QJ, Zhang GL, Wang ZL, Li TX, Zhu LF. Small Unruptured Intracranial Aneurysms Can Be Effectively Treated With Flow-Diverting Devices. Front Neurol 2022; 13:913653. [PMID: 35707031 PMCID: PMC9190436 DOI: 10.3389/fneur.2022.913653] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 04/29/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose To investigate the effect and safety of flow diverters in the management of small (<10 mm in diameter) unruptured intracranial aneurysms. Materials and Methods One hundred and ten patients with 145 small intracranial aneurysms treated with flow diverters were retrospectively enrolled. The clinical, endovascular, and follow-up data were analyzed. Results One hundred twenty-one flow diverters were deployed for the treatment of 145 small intracranial aneurysms in 110 patients, and the stenting success rate was 99.1%. In 133 (91.7%) aneurysms, only flow-diverting devices were deployed, and in the rest 12 (8.3%) of aneurysms, coils were used to loosely pack the aneurysm after deployment of a flow-diverting device. Five patients (4.5%) experienced ischemic complications, but no hemorrhagic complications were occurred. All patients had clinical follow-up 6-18 (median 12) after the procedure, with the modified Rankin scale score (mRS) 0 in 101 patients, 1 in four patients, 2 in three patients, 4 in one patient, and 5 in one patient. Digital subtraction angiography was performed at follow-up in 90 (81.8%) patients with 118 (81.4%) aneurysms 6-18 months (median 12) after the procedure, with the Raymond grade I in 90 (76.2%) aneurysms and Raymond grade III in 28 (23.7%). Eighteen patients with 22 partially occluded aneurysms at the first angiographic follow-up experienced the second digital subtraction angiography 12-36 months (median 26) after the procedure, and 21 (95.5%) aneurysms were completely occluded. Two patients had asymptomatic in-stent stenosis. Conclusion Treatment of small unruptured intracranial aneurysms with flow diverters can be performed safely and effectively with satisfactory outcomes.
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Affiliation(s)
- Li Li
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Bu-Lang Gao
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Qiu-Ji Shao
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Guang-Lin Zhang
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Zi-Liang Wang
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Tian-Xiao Li
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Liang-Fu Zhu
- Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
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Kang H, Luo B, Liu J, Wang A, Zhang H, Li T, Song D, Zhao Y, Guan S, Wang Y, Feng W, Wang Y, Shi H, Liu J, Yang X. A novel score for evaluating cerebral aneurysms treated with flow diversion: 4F-flow diversion predictive score. Ther Adv Neurol Disord 2021; 14:17562864211039336. [PMID: 34434256 PMCID: PMC8381420 DOI: 10.1177/17562864211039336] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 07/27/2021] [Indexed: 11/16/2022] Open
Abstract
Background and purpose Although grading scales for angiography outcomes following cerebral aneurysm treatment with flow diversion have been published, physicians have not widely adopted these scales in practice. The aim of this study is to propose and validate a novel Flow diversion Predictive Score (4F-FPS) grading scale based on previously established scales that is simple and reliable. Methods We retrospectively analyzed consecutive patients who underwent endovascular treatment for cerebral aneurysms with flow diversion between January 2014 and September 2019. The included patients were randomly divided into the derivation and validation group in a 70/30 ratio, respectively. Aneurysms were classified as incomplete or complete occlusion based on final angiography outcomes. 4F-FPS was derived to predict aneurysm occlusion from multivariate logistic regression analyses in the derivation group and validated with previously published grading scales in the validation group. Results Overall, 662 patients [mean age, 53.8 years; 72.5% (480/662) female] with 662 aneurysms treated with the PipelineTM flow diverter were included [69.9% (463/662) derivation group, 30.1% (199/662) validation group]. The incidence of aneurysm occlusion was 82.7%. 4F-FPS demonstrated significant discrimination in 10-fold cross validation [mean receiver operating characteristic (ROC) area, 0.862 ± 0.055] and calibration (Cox & Snell R 2, 0.251; Nagelkerke R 2, 0.413) in the derivation group. The ROC area of 4F-FPS score in both the derivation and validation groups is the largest compared with previously published grading scales/scores (p < 0.05), which shows better sensitivity and specificity. The 4F-FPS score showed excellent prediction, discrimination, and calibration properties. Conclusion The 4F-FPS score is a simple and reliable tool to predict angiography outcome after flow diversion treatment. If widely adopted, it may provide a common language to be used in future reporting of flow diversion results for clinical trials and daily practice. Clinical trial registration http://www.clinicaltrials.gov. Unique identifier: NCT03831672.
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Affiliation(s)
- Huibin Kang
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Bin Luo
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jian Liu
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anxin Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hongqi Zhang
- Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tianxiao Li
- Zhengzhou University People's Hospital, Zhengzhou, China
| | - Donglei Song
- Shanghai Donglei Brain Hospital, Fudan University, Shanghai, China
| | - Yuanli Zhao
- Peking University International Hospital, Beijing, China
| | - Sheng Guan
- First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yunyan Wang
- Qilu Hospital of Shandong University, Jinan, China
| | - Wenfeng Feng
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yang Wang
- First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Huaizhang Shi
- First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jianmin Liu
- Changhai Hospital Affiliated to Naval Medical University, Shanghai, China
| | - Xinjian Yang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing 100050, China
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