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Hu X, Deng P, Ma M, Tang X, Qian J, Wu G, Gong Y, Gao L, Zou R, Leng X, Xiang J, Wu J, Ding Z. How does the recurrence-related morphology characteristics of the Pcom aneurysms correlated with hemodynamics? Front Neurol 2023; 14:1236757. [PMID: 37869148 PMCID: PMC10585265 DOI: 10.3389/fneur.2023.1236757] [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: 06/08/2023] [Accepted: 09/21/2023] [Indexed: 10/24/2023] Open
Abstract
Introduction Posterior communicating artery (Pcom) aneurysm has unique morphological characteristics and a high recurrence risk after coil embolization. This study aimed to evaluate the relationship between the recurrence-related morphology characteristics and hemodynamics. Method A total of 20 patients with 22 Pcom aneurysms from 2019 to 2022 were retrospectively enrolled. The recurrence-related morphology parameters were measured. The hemodynamic parameters were simulated based on finite element analysis and computational fluid dynamics. The hemodynamic differences before and after treatment caused by different morphological features and the correlation between these parameters were analyzed. Result Significant greater postoperative inflow rate at the neck (Qinflow), relative Qinflow, inflow concentration index (ICI), and residual flow volume (RFV) were reported in the aneurysms with wide neck (>4 mm). Significant greater postoperative RFV were reported in the aneurysms with large size (>7 mm). Significant greater postoperative Qinflow, relative Qinflow, and ICI were reported in the aneurysms located on the larteral side of the curve. The bending angle of the internal carotid artery at the initiation of Pcom (αICA@PCOM) and neck diameter had moderate positive correlations with Qinflow, relative Qinflow, ICI, and RFV. Conclusion The morphological factors, including aneurysm size, neck diameter, and αICA@PCOM, are correlated with the recurrence-inducing hemodynamic characteristics even after fully packing. This provides a theoretical basis for evaluating the risk of aneurysm recurrence and a reference for selecting a surgical plan.
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Affiliation(s)
- Xiaolong Hu
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Peng Deng
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Mian Ma
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Xiaoyu Tang
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Jinghong Qian
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Gang Wu
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Yuhui Gong
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Liping Gao
- ArteryFlow Technology Co., Ltd., Hangzhou, China
| | - Rong Zou
- ArteryFlow Technology Co., Ltd., Hangzhou, China
| | | | | | - Jiandong Wu
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Zhiliang Ding
- Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
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Liu S, Jin Y, Wang X, Zhang Y, Jiang L, Li G, Zhao X, Jiang T. Increased Carotid Siphon Tortuosity Is a Risk Factor for Paraclinoid Aneurysms. Front Neurol 2022; 13:869459. [PMID: 35620791 PMCID: PMC9127410 DOI: 10.3389/fneur.2022.869459] [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: 02/04/2022] [Accepted: 03/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background Geometrical factors associated with the surrounding vasculature can affect the risk of aneurysm formation. The aim of this study was to determine the association between carotid siphon curvature and the formation and development of paraclinoid aneurysms of the internal carotid artery. Methods Digital subtraction angiography (DSA) data from 42 patients with paraclinoid aneurysms (31 with non-aneurysmal contralateral sides) and 42 age- and gender-matched healthy controls were analyzed, retrospectively. Morphological characteristics of the carotid siphon [the posterior angle (α), anterior angle (β), and Clinoid@Ophthalmic angle (γ)] were explored via three-dimensional rotational angiography (3D RA) multiplanar reconstruction. The association between carotid siphon morphology and the formation of paraclinoid aneurysms was assessed through univariate analysis. After this, logistic regression analysis was performed to identify independent risk factors for aneurysms. Results Significantly smaller α, β, and γ angles were reported in the aneurysmal carotid siphon group when compared with the non-aneurysmal contralateral healthy controls. The β angle was best for discriminating between aneurysmal and non-aneurysmal carotid siphons, with an optimal threshold of 18.25°. By adjusting for hypertension, smoking habit, hyperlipidemia, and diabetes mellitus, logistic regression analysis demonstrated an independent association between the carotid siphons angles α [odds ratio (OR) 0.953; P < 0.05], β (OR 0.690; P < 0.001), and γ (OR 0.958; P < 0.01) with the risk of paraclinoid aneurysms. Conclusions The present findings provide evidence for the importance of morphological carotid siphon variations and the likelihood of paraclinoid aneurysms. These practical morphological parameters specific to paraclinoid aneurysms are easy to assess and may aid in risk assessment in these patients.
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Affiliation(s)
- Shilin Liu
- Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu Jin
- Department of Neurology, Bozhou City Peoples Hospital, Bozhou, China
| | - Xukou Wang
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yang Zhang
- Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Luwei Jiang
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guanqing Li
- Department of Neurology, Bozhou City Peoples Hospital, Bozhou, China
| | - Xi Zhao
- Philips Healthcare China, Shanghai, China
| | - Tao Jiang
- Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
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Lauric A, Ludwig CG, Malek AM. Enhanced Radiomics for Prediction of Rupture Status in Cerebral Aneurysms. World Neurosurg 2021; 159:e8-e22. [PMID: 34823040 DOI: 10.1016/j.wneu.2021.11.038] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Radiomics is a powerful tool for automatic extraction of morphological features, but when applied to cerebral aneurysms, it is inferior to established descriptors in classifying rupture status. We sought a strategy to recover neck orientation and parent vessel caliber to enhance Radiomics performance and facilitate its adoption for aneurysm risk stratification. METHODS We analyzed 135 sidewall (32 ruptured) and 216 bifurcation (90 ruptured) aneurysms from three-dimensional rotational catheter angiography datasets. Clinical three-dimensional rotational catheter angiography defined in arbitrary orientation underwent affine transformations enabling aneurysm neck alignment to XY plane before analysis in PyRadiomics, facilitating automatic extraction of aneurysm height and width, previously not possible with random alignment. Additionally, parent vessel size was estimated from aneurysm location and incorporated into enhanced Radiomics (height, width, height/width, size ratio). Rupture status classification was compared across methodologies for 31 automatically computed conventional Radiomics, enhanced Radiomics, and established size/shape descriptors using univariate, multivariate, and area under the curve (AUC) statistics. RESULTS Enhanced Radiomics-derived height/width and size ratio were significantly higher in both ruptured subsets. Using multivariate analysis in sidewall lesions, enhanced Radiomics (AUC = 0.85) matched established features (AUC = 0.86) and outperformed conventional Radiomics (AUC = 0.82); in bifurcation lesions, enhanced Radiomics (AUC = 0.78) outperformed both established features (AUC = 0.76) and conventional Radiomics (AUC = 0.74). CONCLUSIONS Enhanced Radiomics incorporating neck orientation and parent vessel estimate is an efficient operator-independent methodology that offers superior rupture status classification for both sidewall and bifurcation aneurysms and should be considered a strong candidate for larger-scale multicenter and multimodality validation.
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Affiliation(s)
- Alexandra Lauric
- Cerebrovascular and Endovascular Division and Cerebrovascular Hemodynamics Laboratory, Department of Neurosurgery, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Calvin G Ludwig
- Cerebrovascular and Endovascular Division and Cerebrovascular Hemodynamics Laboratory, Department of Neurosurgery, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Adel M Malek
- Cerebrovascular and Endovascular Division and Cerebrovascular Hemodynamics Laboratory, Department of Neurosurgery, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA.
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Levitt MR, Aliseda A, Fiorella D, Sadasivan C. One way to get there. J Neurointerv Surg 2021; 13:401-402. [PMID: 33785640 DOI: 10.1136/neurintsurg-2021-017559] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2021] [Indexed: 11/03/2022]
Affiliation(s)
- Michael R Levitt
- Neurological Surgery, Radiology, Mechanical Engineering, and Stroke & Applied Neuroscience Center, University of Washington, Seattle, Washington, USA
| | - Alberto Aliseda
- Mechanical Engineering, Neurological Surgery, and Stroke & Applied Neuroscience Center, University of Washington, Seattle, Washington, USA
| | - David Fiorella
- Department of Neurosurgery, Stony Brook University, Stony Brook, New York, USA
| | - Chander Sadasivan
- Department of Neurosurgery, Stony Brook University, Stony Brook, New York, USA
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Zhang J, Can A, Lai PMR, Mukundan S, Castro VM, Dligach D, Finan S, Gainer V, Shadick N, Savova G, Murphy SN, Cai T, Weiss ST, Du R. Geometric variations associated with posterior communicating artery aneurysms. J Neurointerv Surg 2021; 13:1049-1052. [PMID: 33479035 DOI: 10.1136/neurintsurg-2020-017062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 11/04/2022]
Abstract
BACKGROUND Hemodynamic stress, conditioned by the morphology of the surrounding vasculature, plays an important role in aneurysm formation. Our goal was to identify image-based location-specific parameters that are associated with posterior communicating artery (PCoA) aneurysms. METHODS Three-dimensional morphological parameters obtained from CT angiography or digital subtraction angiography from 187 patients with unilateral PCoA aneurysms, diagnosed at the Brigham and Women's Hospital and Massachusetts General Hospital between 1990 and 2016, were evaluated. In order to control for genetic and clinical risk factors, we chose the contralateral unaffected PCoA as a control group. We examined diameters and angles of the surrounding parent and daughter vessels. Univariable and multivariable statistical analyses were performed to determine statistical significance. Sensitivity analyses with small aneurysms (≤5 mm) only and an unmatched analysis of 432 PCoA aneurysms and 197 control patients without PCoA aneurysms were also performed. RESULTS In a multivariable conditional logistic regression model we showed that smaller diameter size ratio (OR 1.45×10-5, 95% CI 1.12×10-7 to 1.88×10-3) and larger daughter-daughter angle (OR 1.04, 95% CI 1.02 to 1.07) were significantly associated with PCoA aneurysm presence after correcting for other variables. In subgroup analyses of small aneurysms (≤5 mm) and in an unmatched analysis the significance and direction of these results were preserved. CONCLUSIONS Larger daughter-daughter angles and smaller diameter size ratio are significantly associated with the presence of PCoA aneurysms. These simple parameters can be utilized to guide the risk assessment for the formation of PCoA aneurysms in high risk patients.
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Affiliation(s)
- Jian Zhang
- Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Anil Can
- Neurosurgery, Amsterdam University Medical Centers, Amsterdam, Noord-Holland, The Netherlands
| | | | | | - Victor M Castro
- Research Information Science and Computing, Mass General Brigham Inc, Somerville, Massachusetts, USA
| | - Dmitriy Dligach
- Computer Science, Loyola University Chicago, Chicago, Illinois, USA
| | - Sean Finan
- Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Vivian Gainer
- Research Information Systems and Computing, Mass General Brigham Inc, Boston, Massachusetts, USA
| | - Nancy Shadick
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Guergana Savova
- Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Shawn N Murphy
- Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Tianxi Cai
- Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Rose Du
- Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
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