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Tang Y, Wei H, Zhang Z, Fu M, Feng J, Li Z, Liu X, Wu Y, Zhang J, You W, Xue R, Zhuo Y, Jiang Y, Li Y, Li R, Liu P. Transition of intracranial aneurysmal wall enhancement from high to low wall shear stress mediation with size increase: A hemodynamic study based on 7T magnetic resonance imaging. Heliyon 2024; 10:e30006. [PMID: 38694075 PMCID: PMC11061692 DOI: 10.1016/j.heliyon.2024.e30006] [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: 11/15/2023] [Revised: 04/11/2024] [Accepted: 04/18/2024] [Indexed: 05/03/2024] Open
Abstract
Background Wall shear stress (WSS) has been proved to be related to the formation, development and rupture of intracranial aneurysms. Aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) can be caused by inflammation and have confirmed its relationship with low WSS. High WSS can also result in inflammation but the research of its correlation with AWE is lack because of the focus on large aneurysms limited by 3T MRI in most previous studies.This study aimed to assess the potential association between high or low WSS and AWE in different aneuryms. Especially the relationship between high WSS and AWE in small aneurysm. Methods Forty-three unruptured intracranial aneurysms in 42 patients were prospectively included for analysis. 7.0 T MRI was used for imaging. Aneurysm size was measured on three-dimensional time-of-flight (TOF) images. Aneurysm-to-pituitary stalk contrast ratio (CRstalk) was calculated on post-contrast black-blood T1-weighted fast spin echo sequence images. Hemodynamics were assessed by four-dimensional flow MRI. Results The small aneurysms group had more positive WSS-CRstalk correlation coefficient distribution (dome: 78.6 %, p = 0.009; body: 50.0 %, p = 0.025), and large group had more negative coefficient distribution (dome: 44.8 %, p = 0.001; body: 69.0 %, p = 0.002). Aneurysm size was positively correlated with the significant OSI-CRstalk correlation coefficient at the dome (p = 0.012) and body (p = 0.010) but negatively correlated with the significant WSS-CRstalk correlation coefficient at the dome (p < 0.001) and body (p = 0.017). Conclusion AWE can be mediated by both high and low WSS, and translate from high WSS- to low WSS-mediated pathways as size increase. Additionally, AWE may serve as an indicator of the stage of aneurysm development via different correlations with hemodynamic factors.
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Affiliation(s)
- Yudi Tang
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haining Wei
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Medical School, Tsinghua University, Beijing, China
| | - Zihao Zhang
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Mingzhu Fu
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Medical School, Tsinghua University, Beijing, China
| | - Junqiang Feng
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhixin Li
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinke Liu
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Engineering Research Center, Beijing, China
| | - Yue Wu
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinyuan Zhang
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wei You
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rong Xue
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yan Zhuo
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yuhua Jiang
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Engineering Research Center, Beijing, China
| | - Youxiang Li
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Engineering Research Center, Beijing, China
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Medical School, Tsinghua University, Beijing, China
| | - Peng Liu
- Department of Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Engineering Research Center, Beijing, China
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Li Y, Huan L, Lu W, Li J, Wang H, Wang B, Song Y, Peng C, Wang J, Yang X, Hao J. Integrate prediction of machine learning for single ACoA rupture risk: a multicenter retrospective analysis. Front Neurol 2023; 14:1126640. [PMID: 37920830 PMCID: PMC10619904 DOI: 10.3389/fneur.2023.1126640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 09/11/2023] [Indexed: 11/04/2023] Open
Abstract
Background Statistically, Anterior communicating aneurysm (ACoA) accounts for 30 to 35% of intracranial aneurysms. ACoA, once ruptured, will have an acute onset and cause severe neurological dysfunction and even death. Therefore, clinical analysis of risk factors related to ACoA and the establishment of prediction model are the benefits to the primary prevention of ACoA. Methods Among 1,436 cases of single ACoA patients, we screened 1,325 valid cases, classified risk factors of 1,124 cases in the ruptured group and 201 cases in the unruptured group, and assessed the risk factors, respectively, and predicted the risk of single ACoA rupture by using the logistic regression and the machine learning. Results In the ruptured group (84.8%) of 1,124 cases and the unruptured group (15.2%) of 201 cases, the multivariable logistic regression (MLR) model shows hemorrhagic stroke history (OR 95%CI, p:0.233 (0.120-0.454),<0.001) and the age stratification of 60-69 years (OR 95%CI, p:0.425 (0.271-0.668),<0.001) has a significant statistic difference. In the RandomForest (RF) model, hemorrhagic stroke history and age are the best predictive factors. Conclusion We combined the analysis of MLR, RF, and PCA models to conclude that hemorrhagic stroke history and gender affect single ACoA rupture. The RF model with web dynamic nomogram, allows for real-time personalized analysis based on different patients' conditions, which is a tremendous advantage for the primary prevention of single ACoA rupture. Clinical trial registration https://www.chictr.org.cn/showproj.html?proj=178501.
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Affiliation(s)
- Yang Li
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Linchun Huan
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Department of Neurosurgery, Linyi People's Hospital of Shandong Province, Linyi, Shandong, China
| | - Wenpeng Lu
- Department of Neurosurgery, The First People's Hospital of Jining, Jining, Shandong, China
| | - Jian Li
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongping Wang
- Department of Neurosurgery, Tangshan Workers Hospital, Tangshan, Hebei, China
| | - Bangyue Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Yunfei Song
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Chao Peng
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Jiyue Wang
- Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, Shandong, China
| | - Xinyu Yang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Jiheng Hao
- Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, Shandong, China
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Feng L, Mao HJ, Zhang DD, Zhu YC, Han F. Anatomical variations in the Circle of Willis and the formation and rupture of intracranial aneurysms: A systematic review and meta-analysis. Front Neurol 2023; 13:1098950. [PMID: 36726753 PMCID: PMC9885143 DOI: 10.3389/fneur.2022.1098950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/30/2022] [Indexed: 01/17/2023] Open
Abstract
Background The anterior (AcomA) and posterior communicating arteries (PcomA) are two of the most frequent sites for intracranial aneurysms. Anatomical variations in the Circle of Willis (COW) are frequently observed in patients with AcomA and PcomA aneurysms. Strong evidence is needed to determine the pooled estimate of the effect of COW variations on the formation and rupture of these aneurysms. Aim This systematic review and meta-analysis aimed to establish the effect of COW variations on the formation and rupture of AcomA and PcomA aneurysms using available studies. Summary of review PubMed, Embase, and Web of Science databases were systematically searched for studies published in English before September 21, 2022. Studies investigating AcomA aneurysms and the hypoplastic/aplastic A1 segment of the anterior cerebral artery and PcomA aneurysms and hypoplastic/aplastic PcomA or fetal-type posterior cerebral artery (FTP) were included. The heterogeneity of the studies was assessed using Cochran Q-test and I2 statistic. Pooled estimate was assessed using either a random- or fixed-effects model based on the heterogeneity of the studies. Among the 4,932 studies, 21 were eligible and included in the analysis. The presence of hypoplastic/aplastic A1 was significantly correlated with the formation [OR (95% confidence interval [CI]) = 7.97 (5.58, 11.39), P < 0.001] and rupture [OR (95%CI) = 1.87 (1.29, 2.72), P < 0.001] of AcomA aneurysms. Significant associations between FTP and both the formation [OR (95%CI) = 2.15 (1.41, 3.30), P < 0.001] and rupture [OR (95%CI) = 1.72 (1.26, 2.36), P < 0.001] of PcomA aneurysms were observed. Conclusions Significant associations were observed between COW variations and both the formation and rupture of AcomA and PcomA aneurysms. This can help in determining interventions for patients with aneurysms. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=225149, identifier: CRD42021225149.
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Affiliation(s)
- Lu Feng
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - He-Jiao Mao
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ding-Ding Zhang
- Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Han
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,*Correspondence: Fei Han ✉
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Wetzel-Yalelis A, Karadag C, Li L, Turowski B, Bostelmann R, Abusabha Y, Hofmann BB, Gousias K, Agrawal R, König M, Kaiser M, Mijderwijk HJ, Petridis AK. The rupture of an anterior communicating artery aneurysm does not associate with an asymmetry in the A1 or A2 arteries: a retrospective study of radiological features. Br J Neurosurg 2021:1-6. [PMID: 34933612 DOI: 10.1080/02688697.2021.2016624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 10/24/2021] [Accepted: 12/05/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND OBJECTIVES Although the formation and rupture risk of an anterior communicating artery (ACoA) aneurysm has been the subject of many studies, no previous study has primarily searched for the relationship of the parent and daughter vessels and the impact of their size/diameter ratio on the potential rupture risk of an AcoA aneurysm. The objective of this study is to explore this link and to further analyse the surrounding vasculature of the anterior communicating artery aneurysm. MATERIALS AND METHODS We conducted a retrospective analysis of 434 patients: 284 patients with an ACoA aneurysm (121 unruptured and 162 ruptured) and 150 control patients without an ΑCoA aneurysm. Radiological angiography investigations were used to assess the diameter ratios of the parent vessels in addition to ACoA aneurysm morphology parameters. RESULTS When comparing the ruptured to the unruptured cases, we observed no significant difference in the parent or daughter vessel diameter ratios. Younger patient age (OR 0.96, p = 0.00) and a higher aneurysm size ratio (OR 1.10, p = 0.02) were of prognostic importance concerning the rupture risk of the aneurysm. The A1 diameter ratio and the A2 diameter were not statistically significant (OR 1.00, p = 0.99, and OR 3.38, p = 0.25 respectively). CONCLUSIONS In our study, we focused on asymmetry in the parent and daughter vessels as well as traditional ACoA aneurysm morphological characteristics. We were able to label younger patient age and a greater size ratio as independent prognostic factors for ACoA aneurysm rupture. We were unable to label parent and daughter vessel asymmetry as prognostic factors. To validate our findings, parent and daughter vessel asymmetry should be subjected to future prospective studies.
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Affiliation(s)
| | - Cihat Karadag
- Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Lan Li
- Department of Neurosurgery, Alfried Krupp Hospital, Essen, Germany
| | - Bernd Turowski
- Medical Faculty, Department of Diagnostic and Interventional Radiology, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Richard Bostelmann
- Department of Neurosurgery, Christliches Krankenhaus Quakenbrück gemeinnützige GmbH, Quakenbrück, Germany
| | - Yousef Abusabha
- Medical Faculty, Department of Neurosurgery, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Björn B Hofmann
- Medical Faculty, Department of Neurosurgery, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | | | - Rachit Agrawal
- Department of Neurosurgery, St. Marien Hospital, Luenen, Germany
| | - Matthias König
- Department of Diagnostic and Interventional Radiology and Neuroradiology, St. Marien Hospital, Luenen, Germany
| | - Marga Kaiser
- Department of Diagnostic and Interventional Radiology and Neuroradiology, St. Marien Hospital, Luenen, Germany
| | - Hendrik-Jan Mijderwijk
- Medical Faculty, Department of Neurosurgery, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Athanasios K Petridis
- Medical Faculty, Department of Neurosurgery, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
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