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Veeturi SS, Saleem A, Ojeda DJ, Sagues E, Sanchez S, Gudino A, Levy EI, Hasan D, Siddiqui AH, Tutino VM, Samaniego EA. Radiomics-Based Predictive Nomogram for Assessing the Risk of Intracranial Aneurysms. Transl Stroke Res 2024:10.1007/s12975-024-01268-3. [PMID: 38954365 DOI: 10.1007/s12975-024-01268-3] [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: 04/30/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 07/04/2024]
Abstract
Aneurysm wall enhancement (AWE) has the potential to be used as an imaging biomarker for the risk stratification of intracranial aneurysms (IAs). Radiomics provides a refined approach to quantify and further characterize AWE's textural features. This study examines the performance of AWE quantification combined with clinical information in detecting symptomatic IAs. Ninety patients harboring 104 IAs (29 symptomatic and 75 asymptomatic) underwent high-resolution magnetic resonance imaging (HR-MRI). The assessment of AWE was performed using two different methods: 3D-AWE mapping and composite radiomics-based score (RadScore). The dataset was split into training and testing subsets. The testing set was used to build two different nomograms using each modality of AWE assessment combined with patients' clinical information and aneurysm morphological data. Finally, each nomogram was evaluated on an independent testing set. A total of 22 radiomic features were significantly different between symptomatic and asymptomatic IAs. The 3D-AWE mapping nomogram achieved an area under the curve (AUC) of 0.77 (63% accuracy, 78% sensitivity, and 58% specificity). The RadScore nomogram exhibited a better performance, achieving an AUC of 0.83 (77% accuracy, 89% sensitivity, and 73% specificity). The comprehensive analysis of IAs with the quantification of AWE data through radiomic analysis, patient clinical information, and morphological aneurysm metrics achieves a high accuracy in detecting symptomatic IA status.
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Affiliation(s)
- Sricharan S Veeturi
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - Arshaq Saleem
- Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Diego J Ojeda
- Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Elena Sagues
- Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | | | - Andres Gudino
- Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Elad I Levy
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - David Hasan
- Department of Neurosurgery, Duke University, Durham, NC, USA
| | - Adnan H Siddiqui
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - Vincent M Tutino
- Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Edgar A Samaniego
- Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Department of Radiology, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Department of Neurosurgery, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
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Veeturi SS, Saleem A, Ojeda D, Sagues E, Sanchez S, Gudino A, Levy EI, Hasan D, Siddiqui AH, Tutino VM, Samaniego EA. Radiomics-Based Predictive Nomogram for Assessing the Risk of Intracranial Aneurysms. RESEARCH SQUARE 2024:rs.3.rs-4350156. [PMID: 38766264 PMCID: PMC11100888 DOI: 10.21203/rs.3.rs-4350156/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Background Aneurysm wall enhancement (AWE) has the potential to be used as an imaging biomarker for the risk stratification of intracranial aneurysms (IAs). Radiomics provides a refined approach to quantify and further characterize AWE's textural features. This study examines the performance of AWE quantification combined with clinical information in detecting symptomatic IAs. Methods Ninety patients harboring 104 IAs (29 symptomatic and 75 asymptomatic) underwent high-resolution magnetic resonance imaging (HR-MRI). The assessment of AWE was performed using two different methods: 3D-AWE mapping and composite radiomics-based score (RadScore). The dataset was split into training and testing subsets. The testing set was used to build two different nomograms using each modality of AWE assessment combined with patients' demographic information and aneurysm morphological data. Finally, each nomogram was evaluated on an independent testing set. Results A total of 22 radiomic features were significantly different between symptomatic and asymptomatic IAs. The 3D-AWE Mapping nomogram achieved an area under the curve (AUC) of 0.77 (63% accuracy, 78% sensitivity and 58% specificity). The RadScore nomogram exhibited a better performance, achieving an AUC of 0.83 (77% accuracy, 89% sensitivity and 73% specificity). Conclusions Combining AWE quantification through radiomic analysis with patient demographic data in a clinical nomogram achieved high accuracy in detecting symptomatic IAs.
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Özütemiz C. Cerebrovascular Imaging at 7T: A New High. Semin Roentgenol 2024; 59:148-156. [PMID: 38880513 DOI: 10.1053/j.ro.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 06/18/2024]
Affiliation(s)
- Can Özütemiz
- University of Minnesota, Department of Radiology, MMC 292, 420 Delaware St. SE Minneapolis, MN.
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Wang X, Pu J. Recent Advances in Cardiac Magnetic Resonance for Imaging of Acute Myocardial Infarction. SMALL METHODS 2024; 8:e2301170. [PMID: 37992241 DOI: 10.1002/smtd.202301170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/14/2023] [Indexed: 11/24/2023]
Abstract
Acute myocardial infarction (AMI) is one of the primary causes of death worldwide, with a high incidence and mortality rate. Assessment of the infarcted and surviving myocardium, along with microvascular obstruction, is crucial for risk stratification, treatment, and prognosis in patients with AMI. Nonionizing radiation, excellent soft tissue contrast resolution, a large field of view, and multiplane imaging make cardiac magnetic resonance (CMR) a "one-stop" method for assessing cardiac structure, function, perfusion, and metabolism. Hence, this imaging technology is considered the "gold standard" for evaluating myocardial function and viability in AMI. This review critically compares the advantages and disadvantages of CMR with other cardiac imaging technologies, and relates the imaging findings to the underlying pathophysiological processes in AMI. A more thorough understanding of CMR technology will clarify their advanced clinical diagnosis and prognostic assessment applications, and assess the future approaches and challenges of CMR in the setting of AMI.
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Affiliation(s)
- Xu Wang
- Shanghai Jiao Tong University, School of Medicine Affiliated Renji Hospital, Shanghai, 200127, China
| | - Jun Pu
- Shanghai Jiao Tong University, School of Medicine Affiliated Renji Hospital, Shanghai, 200127, China
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Hu L, Quan K, Shi Y, Liu P, Song J, Tian Y, An Q, Liu Y, Li S, Yu G, Fan Z, Luo J, Gu Y, Xu B, Zhu W, Mao Y. Association of Preoperative Vascular Wall Imaging Patterns and Surgical Outcomes in Patients With Unruptured Intracranial Saccular Aneurysms. Neurosurgery 2023; 92:421-430. [PMID: 36637276 DOI: 10.1227/neu.0000000000002219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/31/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND MR vascular wall imaging (VWI) may have prognostic value in patients with unruptured intracranial aneurysms (UIAs). OBJECTIVE To evaluate the value of VWI as a predictor of surgical outcome in patients with UIAs. METHODS This prospective cohort study evaluated surgical outcomes in consecutive patients with UIAs who underwent surgical clipping at a single center. All participants underwent high-resolution VWI and were followed for at least 6 months. The primary clinical outcome was modified Rankin scale (mRS) score 6 months after surgery. RESULTS The number of patients in the no wall enhancement, uniform wall enhancement (UWE), and focal wall enhancement (FWE) groups was 37, 145, and 154, respectively. Incidence of postoperative complications was 15.5% in the FWE group, 12.4% in the UWE group, and 5.4% in the no wall enhancement group. The proportion of patients with mRS score >2 at the 6-month follow-up was significantly higher in the FWE group than in the UWE group (14.3% vs 6.9%; P = .0389). In the multivariate analysis, FWE (odds ratio, 2.573; 95% CI 1.001-6.612) and positive proximal artery remodeling (odds ratio, 10.56; 95% CI 2.237-49.83) were independent predictors of mRS score >2 at the 6-month follow-up. CONCLUSION Preoperative VWI can improve the surgeon's understanding of aneurysm pathological structure. Type of aneurysmal wall enhancement on VWI is associated with clinical outcome and incidence of salvage anastomosis and surgical complications.
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Affiliation(s)
- Liuxun Hu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Kai Quan
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Yuan Shi
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Peixi Liu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Jianping Song
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Yanlong Tian
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Qingzhu An
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Yingjun Liu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Sichen Li
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Guo Yu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Zhiyuan Fan
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Jianfeng Luo
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Yuxiang Gu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Bin Xu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Wei Zhu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute of Fudan University, Shanghai, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
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Oliveira IL, Cardiff P, Baccin CE, Gasche JL. A numerical investigation of the mechanics of intracranial aneurysms walls: Assessing the influence of tissue hyperelastic laws and heterogeneous properties on the stress and stretch fields. J Mech Behav Biomed Mater 2022; 136:105498. [PMID: 36257146 DOI: 10.1016/j.jmbbm.2022.105498] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/14/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022]
Abstract
Numerical simulations have been extensively used in the past two decades for the study of intracranial aneurysms (IAs), a dangerous disease that occurs in the arteries that reach the brain and affect overall 3.2% of a population without comorbidity with up to 60% mortality rate, in case of rupture. The majority of those studies, though, assumed a rigid-wall model to simulate the blood flow. However, to also study the mechanics of IAs walls, it is important to assume a fluid-solid interaction (FSI) modeling. Progress towards more reliable FSI simulations is limited because FSI techniques pose severe numerical difficulties, but also due to scarce data on the mechanical behavior and material constants of IA tissue. Additionally, works that have investigated the impact of different wall modeling choices for patient-specific IAs geometries are a few and often with limited conclusions. Thus our present study investigated the effect of different modeling approaches to simulate the motion of an IA. We used three hyperelastic laws - the Yeoh law, the three-parameter Mooney-Rivlin law, and a Fung-like law with a single parameter - and two different ways of modeling the wall thickness and tissue mechanical properties - one assumed that both were uniform while the other accounted for the heterogeneity of the wall by using a "hemodynamics-driven" approach in which both thickness and material constants varied spatially with the cardiac-cycle-averaged hemodynamics. Pulsatile numerical simulations, with patient-specific vascular geometries harboring IAs, were carried out using the one-way fluid-solid interaction solution strategy implemented in solids4foam, an extension of OpenFOAM®, in which the blood flow is solved and applied as the driving force of the wall motion. We found that different wall morphology models yield smaller absolute differences in the mechanical response than different hyperelastic laws. Furthermore, the stretch levels of IAs walls were more sensitive to the hyperelastic and material constants than the stress. These findings could be used to guide modeling decisions on IA simulations, since the computational behavior of each law was different, for example, with the Yeoh law being the fastest to converge.
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Affiliation(s)
- I L Oliveira
- São Paulo State University (UNESP), School of Engineering, Ilha Solteira, Mechanical Engineering Department, Thermal Sciences Building, Avenida Brasil, 56, Ilha Solteira - SP, Brazil.
| | - P Cardiff
- University College Dublin (UCD), School of Mechanical and Materials Engineering, Dublin, Ireland.
| | - C E Baccin
- Interventional Neuroradiology/Endovascular Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
| | - J L Gasche
- São Paulo State University (UNESP), School of Engineering, Ilha Solteira, Mechanical Engineering Department, Brazil.
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Sato T, Matsushige T, Chen B, Gembruch O, Dammann P, Jabbarli R, Forsting M, Junker A, Maderwald S, Quick HH, Ladd ME, Sure U, Wrede KH. Correlation Between Thrombus Signal Intensity and Aneurysm Wall Thickness in Partially Thrombosed Intracranial Aneurysms Using 7T Magnetization-Prepared Rapid Acquisition Gradient Echo Magnetic Resonance Imaging. Front Neurol 2022; 13:758126. [PMID: 35250805 PMCID: PMC8894319 DOI: 10.3389/fneur.2022.758126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The objective of this study is to investigate the relationship between the thrombus signal intensity and aneurysm wall thickness in partially thrombosed intracranial aneurysms in vivo with magnetization-prepared rapid acquisition gradient echo (MPRAGE) taken using 7T magnetic resonance imaging (MRI) and correlate the findings to wall instability. Methods Sixteen partially thrombosed intracranial aneurysms were evaluated using a 7T whole-body MR system with nonenhanced MPRAGE. To normalize the thrombus signal intensity, its highest signal intensity was compared to that of the anterior corpus callosum of the same subject, and the signal intensity ratio was calculated. The correlation between the thrombus signal intensity ratio and the thickness of the aneurysm wall was analyzed. Furthermore, aneurysmal histopathological specimens from six tissue samples were compared with radiological findings to detect any correlation. Results The mean thrombus signal intensity ratio was 0.57 (standard error of the mean [SEM] 0.06, range 0.25–1.01). The mean thickness of the aneurysm wall was 1.25 (SEM 0.08, range 0.84–1.55) mm. The thrombus signal intensity ratio significantly correlated with the aneurysm wall thickness (p < 0.01). The aneurysm walls with the high thrombus signal intensity ratio were significantly thicker. In histopathological examinations, three patients with a hypointense thrombus had fewer macrophages infiltrating the thrombus and a thin degenerated aneurysmal wall. In contrast, three patients with a hyperintense thrombus had abundant macrophages infiltrating the thrombus. Conclusion The thrombus signal intensity ratio in partially thrombosed intracranial aneurysms correlated with aneurysm wall thickness and histologic features, indicating wall instability.
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Affiliation(s)
- Taku Sato
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
- Department of Neurosurgery, Fukushima Medical University, Fukushima, Japan
- *Correspondence: Taku Sato
| | - Toshinori Matsushige
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Japan
| | - Bixia Chen
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Oliver Gembruch
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Philipp Dammann
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Ramazan Jabbarli
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Michael Forsting
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Andreas Junker
- Institute of Neuropathology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Stefan Maderwald
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Harald H. Quick
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
- High Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Mark E. Ladd
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
- Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Physics and Astronomy and Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Ulrich Sure
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karsten H. Wrede
- Department of Neurosurgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
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Endo H, Mori N, Mugikura S, Niizuma K, Omodaka S, Takase K, Tominaga T. Quantitative assessment of microstructural evolution of intracranial aneurysm wall by vessel wall imaging. Neuroradiology 2022; 64:1343-1350. [PMID: 34997283 DOI: 10.1007/s00234-021-02877-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/04/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE This study aimed to evaluate new quantitative parameters of aneurysm wall enhancement (AWE) on magnetic resonance vessel wall imaging (VWI) in differentiating between the stable and evolving unruptured intracranial aneurysms (UIAs). METHODS Thirty-eight consecutive patients with UIAs (27 stable and 11 evolving) underwent VWI with contrast-enhanced 3D T1 volume isotropic turbo spin echo acquisition. The voxel-based enhancement maps were created using pre- and post-contrast images. The aneurysmal lumen with signal suppression by black-blood method was segmented. Then, one voxel outer and inner layers of the lumen contour were automatically segmented. The shape features of the aneurysms and AWE of the two layers were compared between stable and evolving groups. RESULTS The shape features, including aneurysm volume, surface, and compacity were significantly different between the stable and evolving groups (P = 0.024, 0.028, and 0.033, respectively). Stable and evolving groups also differed significantly in the AWE at the union of outer and inner layers of the aneurysm wall (P = 0.0082) but not in that of the outer or inner layer alone. Multivariate logistic regression analysis revealed significant differences in aneurysm volume, surface, and AWE at the union of outer and inner layers between the two groups (P = 0.0029, 0.0092, and 0.0033, respectively). Receiver operating characteristics curve analysis revealed that the area under the curve of the logistic regression model was 0.89. CONCLUSION Quantitative combined analysis of aneurysm shape features and AWE of the union of outer and inner layers were effective for differentiating between stable and evolving UIAs.
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Affiliation(s)
- Hidenori Endo
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Neurosurgery, Kohnan Hospital, Sendai, Japan
| | - Naoko Mori
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Shunji Mugikura
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.,Division of Image Statistics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kuniyasu Niizuma
- Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.,Department of Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shunsuke Omodaka
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Neurosurgery, Kohnan Hospital, Sendai, Japan
| | - Kei Takase
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan
| | - Teiji Tominaga
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
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Feng J, Liu X, Zhang Z, Wu Y, Li Z, Zhang Q, Jiang Y, You W, Liu P, Wang Y, Mossa-Basha M, Saloner D, Li Y, Zhu C. Comparison of 7 T and 3 T vessel wall MRI for the evaluation of intracranial aneurysm wall. Eur Radiol 2021; 32:2384-2392. [PMID: 34643780 DOI: 10.1007/s00330-021-08331-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/28/2021] [Accepted: 09/15/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVES To compare the visibility of intracranial aneurysm wall and thickness quantification between 7 and 3 T vessel wall imaging and evaluate the association between aneurysm size and wall thickness. METHODS Twenty-nine patients with 29 unruptured intracranial aneurysms were prospectively recruited for 3D T1-weighted vessel wall MRI at both 3 T and 7 T with 0.53 mm (3 T) and 0.4 mm (7 T) isotropic resolution, respectively. Two neuroradiologists independently evaluated wall visibility (0-5 Likert scale), quantified the apparent wall thickness (AWT) using a semi-automated full-width-half-maximum method, calculated wall sharpness, and measured the wall-to-lumen contrast ratio (CRwall/lumen). RESULTS Twenty-four patients with 24 aneurysms were included in this study. 7 T achieved significantly better aneurysm wall visibility than 3 T (3.6 ± 1.1 vs 2.7 ± 0.8, p = 0.003). AWT measured on 3 T and 7 T had a good correlation (averaged r = 0.63 ± 0.19). However, AWT on 3 T was 15% thicker than that on 7 T (0.52 ± 0.07 mm vs 0.45 ± 0.05 mm, p < 0.001). Wall sharpness on 7 T was 57% higher than that on 3 T (1.95 ± 0.32 mm-1 vs 1.24 ± 0.15 mm-1, p < 0.001). CRwall/lumen on 3 T and 7 T was comparable (p = 0.424). AWT on 7 T was positively correlated with aneurysm size (saccular: r = 0.58, q = 0.046; fusiform: r = 0.67, q = 0.049). CONCLUSIONS 7 T provides better visualization of intracranial aneurysm wall with higher sharpness than 3 T. 3 T overestimates the wall thickness relative to 7 T. Aneurysm wall thickness is positively correlated with aneurysm size. 7 T MRI is a promising tool to evaluate aneurysm wall in vivo. KEY POINTS • 7 T provides better visualization of intracranial aneurysm wall with higher sharpness than 3 T. • 3 T overestimates the wall thickness comparing with 7 T. • Aneurysm wall thickness is positively correlated with aneurysm size.
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Affiliation(s)
- Junqiang Feng
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinke Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zihao Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing, 100101, China. .,University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, 100049, China.
| | - Yue Wu
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing, 100101, China.,University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, 100049, China
| | - Zhixin Li
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing, 100101, China.,University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, 100049, China
| | - Qiang Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Yuhua Jiang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei You
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peng Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yan Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | | | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Youxiang Li
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, WA, USA
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10
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Veeturi SS, Pinter NK, Monteiro A, Baig AA, Rai HH, Waqas M, Siddiqui AH, Rajabzadeh-Oghaz H, Tutino VM. An Image-Based Workflow for Objective Vessel Wall Enhancement Quantification in Intracranial Aneurysms. Diagnostics (Basel) 2021; 11:diagnostics11101742. [PMID: 34679440 PMCID: PMC8534502 DOI: 10.3390/diagnostics11101742] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/31/2021] [Accepted: 09/19/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND VWE in contrast-enhanced magnetic resonance imaging (MRI) is a potential biomarker for the evaluation of IA. The common practice to identify IAs with VWE is mainly based on a visual inspection of MR images, which is subject to errors and inconsistencies. Here, we develop and validate a tool for the visualization, quantification and objective identification of regions with VWE. METHODS N = 41 3D T1-MRI and 3D TOF-MRA IA images from 38 patients were obtained and co-registered. A contrast-enhanced MRI was normalized by the enhancement intensity of the pituitary stalk and signal intensities were mapped onto the surface of IA models generated from segmented MRA. N = 30 IAs were used to identify the optimal signal intensity value to distinguish the enhancing and non-enhancing regions (marked by an experienced neuroradiologist). The remaining IAs (n = 11) were used to validate the threshold. We tested if the enhancement area ratio (EAR-ratio of the enhancing area to the IA surface-area) could identify high risk aneurysms as identified by the ISUIA clinical score. RESULTS A normalized intensity of 0.276 was the optimal threshold to delineate enhancing regions, with a validation accuracy of 81.7%. In comparing the overlap between the identified enhancement regions against those marked by the neuroradiologist, our method had a dice coefficient of 71.1%. An EAR of 23% was able to discriminate high-risk cases with an AUC of 0.7. CONCLUSIONS We developed and validated a pipeline for the visualization and objective identification of VWE regions that could potentially help evaluation of IAs become more reliable and consistent.
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Affiliation(s)
- Sricharan S. Veeturi
- Canon Stroke and Vascular Research Center, Buffalo, NY 14203, USA; (S.S.V.); (M.W.); (A.H.S.); (H.R.-O.)
- Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USA
| | - Nandor K. Pinter
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
- Dent Neurologic Institute, Buffalo, NY 14226, USA
| | - Andre Monteiro
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
| | - Ammad A. Baig
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
| | - Hamid H. Rai
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
| | - Muhammad Waqas
- Canon Stroke and Vascular Research Center, Buffalo, NY 14203, USA; (S.S.V.); (M.W.); (A.H.S.); (H.R.-O.)
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
| | - Adnan H. Siddiqui
- Canon Stroke and Vascular Research Center, Buffalo, NY 14203, USA; (S.S.V.); (M.W.); (A.H.S.); (H.R.-O.)
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
| | - Hamidreza Rajabzadeh-Oghaz
- Canon Stroke and Vascular Research Center, Buffalo, NY 14203, USA; (S.S.V.); (M.W.); (A.H.S.); (H.R.-O.)
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
| | - Vincent M. Tutino
- Canon Stroke and Vascular Research Center, Buffalo, NY 14203, USA; (S.S.V.); (M.W.); (A.H.S.); (H.R.-O.)
- Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, NY 14203, USA; (N.K.P.); (A.M.); (A.A.B.); (H.H.R.)
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, NY 14203, USA
- Correspondence: ; Tel.: +1-(716)-829-5400; Fax: +1-(716)-854-1850
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11
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Raghuram A, Varon A, Roa JA, Ishii D, Lu Y, Raghavan ML, Wu C, Magnotta VA, Hasan DM, Koscik TR, Samaniego EA. Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI. Sci Rep 2021; 11:18344. [PMID: 34526579 PMCID: PMC8443635 DOI: 10.1038/s41598-021-97727-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/26/2021] [Indexed: 02/08/2023] Open
Abstract
Aneurysm wall enhancement (AWE) after the administration of contrast gadolinium is a potential biomarker of unstable intracranial aneurysms. While most studies determine AWE subjectively, this study comprehensively quantified AWE in 3D imaging using a semi-automated method. Thirty patients with 33 unruptured intracranial aneurysms prospectively underwent high-resolution imaging with 7T-MRI. The signal intensity (SI) of the aneurysm wall was mapped and normalized to the pituitary stalk (PS) and corpus callosum (CC). The CC proved to be a more reliable normalizing structure in detecting contrast enhancement (p < 0.0001). 3D-heatmaps and histogram analysis of AWE were used to generate the following metrics: specific aneurysm wall enhancement (SAWE), general aneurysm wall enhancement (GAWE) and focal aneurysm wall enhancement (FAWE). GAWE was more accurate in detecting known morphological determinants of aneurysm instability such as size ≥ 7 mm (p = 0.049), size ratio (p = 0.01) and aspect ratio (p = 0.002). SAWE and FAWE were aneurysm specific metrics used to characterize enhancement patterns within the aneurysm wall and the distribution of enhancement along the aneurysm. Blebs were easily identified on 3D-heatmaps and were more enhancing than aneurysm sacs (p = 0.0017). 3D-AWE mapping may be a powerful objective tool in characterizing different biological processes of the aneurysm wall.
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Affiliation(s)
- Ashrita Raghuram
- Department of Neurology, University of Iowa Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA, 52246, USA
| | - Alberto Varon
- Department of Neurology, University of Iowa Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA, 52246, USA
| | - Jorge A Roa
- Department of Neurology, University of Iowa Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA, 52246, USA.,Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Daizo Ishii
- Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Yongjun Lu
- Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Madhavan L Raghavan
- Roy J Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
| | - Chaorong Wu
- Institute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA
| | - Vincent A Magnotta
- Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - David M Hasan
- Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Timothy R Koscik
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Edgar A Samaniego
- Department of Neurology, University of Iowa Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA, 52246, USA. .,Department of Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, IA, USA. .,Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
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12
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Complex and continuous change in hypothetic risk of rupture of intracranial cerebral aneurysms – Bleb mandala –. INTERDISCIPLINARY NEUROSURGERY 2021. [DOI: 10.1016/j.inat.2021.101221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
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13
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Uchikawa H, Kin T, Takeda Y, Koike T, Kiyofuji S, Koizumi S, Shiode T, Suzuki Y, Miyawaki S, Nakatomi H, Mukasa A, Saito N. Correlation of Inflow Velocity Ratio Detected by Phase Contrast Magnetic Resonance Angiography with the Bleb Color of Unruptured Intracranial Aneurysms. World Neurosurg X 2021; 10:100098. [PMID: 33733086 PMCID: PMC7941010 DOI: 10.1016/j.wnsx.2021.100098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 01/05/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Intraoperative rupture is the most fatal and catastrophic complication of surgery for unruptured intracranial aneurysms (UIAs); thus, it is extremely useful to predict reddish and thin-walled regions of the UIA before surgery. Although several studies have reported a relationship between the hemodynamic characteristics and intracranial aneurysm wall thickness, a consistent opinion is lacking. We aimed to investigate the relationship between objectively and quantitatively evaluated bleb wall color and hemodynamic characteristics using phase-contrast magnetic resonance angiography (PC-MRA). METHODS Ten patients diagnosed with UIA who underwent surgical clipping and preoperative magnetic resonance imaging along with PC-MRA were included in this study. Bleb wall color was evaluated from an intraoperative video. Based on the Red (R), Green, and Blue values, bleb wall redness (modified R value; mR) was calculated and compared with the hemodynamic characteristics obtained from PC-MRA. RESULTS The wall redness distribution of 18 blebs in 11 UIAs in 10 patients was analyzed. Bleb/neck inflow velocity ratio (Vb/Va: r = 0.66, P = 0.003) strongly correlated with mR, whereas bleb/neck inflow rate ratio (r = 0.58, P = 0.012) correlated moderately. Multivariate regression analysis revealed that only Vb/Va (P = 0.017) significantly correlated with mR. There was no correlation between wall shear stress and mR. CONCLUSIONS The bleb redness of UIAs and Vb/Va, calculated using PC-MRA, showed a significantly greater correlation. Thus, it is possible to predict bleb thickness noninvasively before surgery. This will facilitate more detailed pre- and intraoperative strategies for clipping and coiling for safe surgery.
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Key Words
- 3D, 3-dimensional
- Bleb
- CFD, Computational fluid dynamics
- Inflow velocity ratio
- MRI, Magnetic resonance imaging
- PC-MRA, Phase-contrast magnetic resonance angiography
- Phase contrast magnetic resonance angiography
- Qa, Inflow rate of the aneurysm
- Qb, Inflow rate of the bleb
- Qb/Qa, Bleb/neck inflow rate ratio
- RGB, Baseline red, green, and blue
- RRT, Relative residence time
- TIWRs, Thin-walled regions
- TOF, Time-of-flight
- UIAs, Unruptured intracranial aneurysms
- Unruptured intracranial aneurysm
- Va, Inflow velocity of the aneurysm
- Vb, Inflow velocity of the bled
- Vb/Va, Bleb/neck inflow velocity ratio
- WSS, Wall shear stress
- Wall thickness
- mR, Modified R value
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Affiliation(s)
- Hiroki Uchikawa
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
- Department of Neurosurgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Taichi Kin
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
| | - Yasuhiro Takeda
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
| | - Tsukasa Koike
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
| | | | - Satoshi Koizumi
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
| | - Taketo Shiode
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
| | - Yuichi Suzuki
- Department of Radiology, University of Tokyo, Tokyo, Japan
| | - Satoru Miyawaki
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
| | | | - Akitake Mukasa
- Department of Neurosurgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Nobuhito Saito
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
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14
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15
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Zhong W, Su W, Li T, Tan X, Chen C, Wang Q, Wang D, Su W, Wang Y. Aneurysm Wall Enhancement in Unruptured Intracranial Aneurysms: A Histopathological Evaluation. J Am Heart Assoc 2021; 10:e018633. [PMID: 33410330 PMCID: PMC7955308 DOI: 10.1161/jaha.120.018633] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 11/03/2020] [Indexed: 11/16/2022]
Abstract
Background Unruptured intracerebral aneurysm wall enhancement (AWE) on vessel wall magnetic resonance imaging scans may be a promising predictor for rupture-prone intracerebral aneurysms. However, the pathophysiology of AWE remains unclear. To this end, the association between AWE and histopathological changes was assessed in this study. Methods and Results A total of 35 patients with 41 unruptured intracerebral aneurysms who underwent surgical clipping were prospectively enrolled. A total of 27 aneurysms were available for histological evaluation. The macroscopic and microscopic features of unruptured intracerebral aneurysms with and without enhancement were assessed. The microscopic features studied included inflammatory cell invasion and vasa vasorum, which were assessed using immunohistochemical staining with CD68, CD3, CD20, and myeloperoxidase for the former and CD34 for the latter. A total of 21 (51.2%) aneurysms showed AWE (partial AWE, n=7; circumferential AWE, n=14). Atherosclerotic and translucent aneurysms were identified in 17 and 14 aneurysms, respectively. Aneurysm size, irregularity, and atherosclerotic and translucent aneurysms were associated with AWE on univariate analysis (P<0.05). Multivariate logistic regression analysis showed that atherosclerosis was the only factor significantly and independently associated with AWE (P=0.027). Histological assessment revealed that inflammatory cell infiltration, intraluminal thrombus, and vasa vasorum were significantly associated with AWE (P<0.05). Conclusions Though AWE on vessel wall magnetic resonance imaging scans may be associated with the presence of atherosclerotic lesions in unruptured intracerebral aneurysms, inflammatory cell infiltration within atherosclerosis, intraluminal thrombus, and vasa vasorum may be the main pathological features associated with AWE. However, the underlying pathological mechanism for AWE still needs to be further studied.
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Affiliation(s)
- Weiying Zhong
- Department of NeurosurgeryQilu Hospital of Shandong University and Institute of Brain and Brain‐Inspired ScienceShandong UniversityJinanShandong ProvinceChina
- Shandong Key Laboratory of Brain Function RemodelingJinanShandong ProvinceChina
| | - Wenjing Su
- Department of PathologyShandong Provincial Hospital affiliated with Shandong UniversityJinanShandong ProvinceChina
| | - Tao Li
- Department of NeurosurgeryThe No. 4 People's Hospital of JinanJinanShandong ProvinceChina
| | - Xianjun Tan
- Department of NeurosurgeryPeople's Hospital of Chiping CityLiaochengShandong ProvinceChina
| | - Chao Chen
- Department of NeurosurgeryQilu Hospital of Shandong University and Institute of Brain and Brain‐Inspired ScienceShandong UniversityJinanShandong ProvinceChina
- Shandong Key Laboratory of Brain Function RemodelingJinanShandong ProvinceChina
| | - Qian Wang
- Department of RadiologyQilu Hospital of Shandong UniversityJinanShandong ProvinceChina
| | - Donghai Wang
- Department of NeurosurgeryQilu Hospital of Shandong University and Institute of Brain and Brain‐Inspired ScienceShandong UniversityJinanShandong ProvinceChina
- Shandong Key Laboratory of Brain Function RemodelingJinanShandong ProvinceChina
| | - Wandong Su
- Department of NeurosurgeryQilu Hospital of Shandong University and Institute of Brain and Brain‐Inspired ScienceShandong UniversityJinanShandong ProvinceChina
- Shandong Key Laboratory of Brain Function RemodelingJinanShandong ProvinceChina
| | - Yunyan Wang
- Department of NeurosurgeryQilu Hospital of Shandong University and Institute of Brain and Brain‐Inspired ScienceShandong UniversityJinanShandong ProvinceChina
- Shandong Key Laboratory of Brain Function RemodelingJinanShandong ProvinceChina
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16
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van Hespen KM, Zwanenburg JJM, Hendrikse J, Kuijf HJ. Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network. Med Image Anal 2020; 67:101818. [PMID: 33049576 DOI: 10.1016/j.media.2020.101818] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 07/10/2020] [Accepted: 08/25/2020] [Indexed: 11/29/2022]
Abstract
Vessel wall thickening of the intracranial arteries has been associated with cerebrovascular disease and atherosclerotic plaque development. Visualization of the vessel wall has been enabled by recent advancements in vessel wall MRI. However, quantifying early wall thickening from these MR images is difficult and prone to severe overestimation, because the voxel size of clinically used acquisitions exceeds the wall thickness of the intracranial arteries. In this study, we aimed for accurate and precise subvoxel vessel wall thickness measurements. A convolutional neural network was trained on MR images of 34 ex vivo circle of Willis specimens, acquired with a clinically used protocol (isotropic acquired voxel size: 0.8 mm). Ground truth measurements were performed on images acquired with an ultra-high-resolution protocol (isotropic acquired voxel size: 0.11 mm) and were used for evaluation. Additionally, we determined the robustness of our method by applying Monte Carlo dropout and test time augmentation. Lastly, we applied our method on in vivo images of three intracranial aneurysms to measure their wall thickness. Our method shows resolvability of different vessel wall thicknesses, well below the acquired voxel size. The method described may facilitate quantitative measurements on MRI data for a wider range of clinical applications.
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Affiliation(s)
- Kees M van Hespen
- Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, the Netherlands.
| | - Jaco J M Zwanenburg
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, the Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584CX, the Netherlands
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17
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Leemans E, Cornelissen B, Sing MLC, Sprengers M, van den Berg R, Roos Y, Vandertop WP, Slump C, Marquering H, Majoie C. 7T versus 3T MR Angiography to Assess Unruptured Intracranial Aneurysms. J Neuroimaging 2020; 30:779-785. [PMID: 32857906 PMCID: PMC7754498 DOI: 10.1111/jon.12772] [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: 05/10/2020] [Revised: 07/24/2020] [Accepted: 08/03/2020] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND AND PURPOSE Aneurysm size and neck measurements are important for treatment decisions. The introduction of 7T magnetic resonance angiography (MRA) led to new possibilities assessing aneurysm morphology and flow due to the higher signal-to-noise ratio. However, it is unknown if the size measurements on 7T MRA are similar to those on the standard 3T MRA. This study aimed to compare aneurysm size measurements between 7T and 3T MRA. METHODS We included 18 patients with 22 aneurysms who underwent both 3T and 7T MRA. Three acquisition protocols were compared: 3T time of flight (TOF), 7T TOF, and 7T contrast-enhanced MRA. Each aneurysm on each protocol was measured by at least two experienced neuroradiologists. Subsequently, the differences were evaluated using scatterplots and the intraclass correlation coefficients (ICC) of agreement. RESULTS There was a good agreement among the neuroradiologists for the height and width measurements (mean ICC: .78-.93); the neck measurements showed a moderate agreement with a mean ICC of .57-.72. Between the MR acquisition protocols, there was a high agreement for all measurements with a mean ICC of .81-.96. Measurement differences between acquisition protocols (0-2.9 mm) were in the range of the differences between the neuroradiologists (0-3.6 mm). CONCLUSION Our study showed that 7T MRA, both nonenhanced and contrast-enhanced, has a high agreement in aneurysm size measurements compared to 3T. This suggests that 7T is useful for reliable aneurysm size assessment.
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Affiliation(s)
- Eva Leemans
- Department of Biomedical Engineering & Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bart Cornelissen
- Department of Biomedical Engineering & Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,MIRA Institute for Biomedical Engineering and Technical Medicine, University of Twente, Enschede, the Netherlands
| | - M L C Sing
- Department of Biomedical Engineering & Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Marieke Sprengers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Rene van den Berg
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Yvo Roos
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - W Pieter Vandertop
- Neurosurgical Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Cornelius Slump
- MIRA Institute for Biomedical Engineering and Technical Medicine, University of Twente, Enschede, the Netherlands
| | - Henk Marquering
- Department of Biomedical Engineering & Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Charles Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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18
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Song JW, Moon BF, Burke MP, Kamesh Iyer S, Elliott MA, Shou H, Messé SR, Kasner SE, Loevner LA, Schnall MD, Kirsch JE, Witschey WR, Fan Z. MR Intracranial Vessel Wall Imaging: A Systematic Review. J Neuroimaging 2020; 30:428-442. [PMID: 32391979 DOI: 10.1111/jon.12719] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/22/2020] [Accepted: 04/10/2020] [Indexed: 12/22/2022] Open
Abstract
The purpose of this systematic review is to identify trends and extent of variability in intracranial vessel wall MR imaging (VWI) techniques and protocols. Although variability in selection of protocol design and pulse sequence type is known, data on what and how protocols vary are unknown. Three databases were searched to identify publications using intracranial VWI. Publications were screened by predetermined inclusion/exclusion criteria. Technical development publications were scored for completeness of reporting using a modified Nature Reporting Summary Guideline to assess reproducibility. From 2,431 articles, 122 met the inclusion criteria. Trends over the last 23 years (1995-2018) show increased use of 3-Tesla MR (P < .001) and 3D volumetric T1-weighted acquisitions (P < .001). Most (65%) clinical VWI publications report achieving a noninterpolated in-plane spatial resolution of ≤.55 mm. In the last decade, an increasing number of technical development (n = 20) and 7 Tesla (n = 12) publications have been published, focused on pulse sequence development, improving cerebrospinal fluid suppression, scan efficiency, and imaging ex vivo specimen for histologic validation. Mean Reporting Summary Score for the technical development publications was high (.87, range: .63-1.0) indicating strong scientific technical reproducibility. Innovative work continues to emerge to address implementation challenges. Gradual adoption into the research and scientific community was suggested by a shift in the name in the literature from "high-resolution MR" to "vessel wall imaging," specifying diagnostic intent. Insight into current practices and identifying the extent of technical variability in the literature will help to direct future clinical and technical efforts to address needs for implementation.
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Affiliation(s)
- Jae W Song
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Brianna F Moon
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA
| | - Morgan P Burke
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | - Mark A Elliott
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Haochang Shou
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Steven R Messé
- Department of Neurology, Hospital of University of Pennsylvania, Philadelphia, PA
| | - Scott E Kasner
- Department of Neurology, Hospital of University of Pennsylvania, Philadelphia, PA.,Department of Emergency Medicine, Hospital of University of Pennsylvania, Philadelphia, PA
| | - Laurie A Loevner
- Department of Radiology, University of Pennsylvania, Philadelphia, PA.,Department of Otolaryngology, Hospital of University of Pennsylvania, Philadelphia, PA
| | | | - John E Kirsch
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA
| | - Walter R Witschey
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Zhaoyang Fan
- Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
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19
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Millesi M, Knosp E, Mach G, Hainfellner JA, Ricken G, Trattnig S, Gruber A. Focal irregularities in 7-Tesla MRI of unruptured intracranial aneurysms as an indicator for areas of altered blood-flow parameters. Neurosurg Focus 2019; 47:E7. [PMID: 31786557 DOI: 10.3171/2019.9.focus19489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 09/09/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In the last several decades, various factors have been studied for a better evaluation of the risk of rupture in incidentally discovered intracranial aneurysms (IAs). With advanced MRI, attempts were made to delineate the wall of IAs to identify weak areas prone to rupture. However, the field strength of the MRI investigations was insufficient for reasonable image resolution in many of these studies. Therefore, the aim of this study was to analyze findings of IAs in ultra-high field MRI at 7 Tesla (7 T). METHODS Patients with incidentally found IAs of at least 5 mm in diameter were included in this study and underwent MRI investigations at 7 T. At this field strength a hyperintense intravascular signal can be observed on nonenhanced images with a brighter "rim effect" along the vessel wall. Properties of this rim effect were evaluated and compared with computational fluid dynamics (CFD) analyses. RESULTS Overall, 23 aneurysms showed sufficient image quality for further evaluation. In 22 aneurysms focal irregularities were identified within this rim effect. Areas of such irregularities showed significantly higher values in wall shear stress and vorticity compared to areas with a clearly visible rim effect (p = 0.043 in both). CONCLUSIONS A hyperintense rim effect along the vessel wall was observed in most cases. Focal irregularities within this rim effect showed higher values of the mean wall shear stress and vorticity when compared by CFD analyses. Therefore, these findings indicate alterations in blood flow in IAs within these areas.
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Affiliation(s)
- Matthias Millesi
- 1Department of Neurosurgery.,3Cerebrovascular Research Group Vienna
| | | | | | | | | | - Siegfried Trattnig
- 5High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna; and
| | - Andreas Gruber
- 1Department of Neurosurgery.,2Department of Neurosurgery, Johannes Kepler University Linz, Austria.,3Cerebrovascular Research Group Vienna
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20
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Song JW, Guiry SC, Shou H, Wang S, Witschey WR, Messé SR, Kasner SE, Loevner LA. Qualitative Assessment and Reporting Quality of Intracranial Vessel Wall MR Imaging Studies: A Systematic Review. AJNR Am J Neuroradiol 2019; 40:2025-2032. [PMID: 31727743 DOI: 10.3174/ajnr.a6317] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 09/24/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Over the last quarter-century, the number of publications using vessel wall MR imaging has increased. Although many narrative reviews offer insight into technique and diagnostic applications, a systematic review of publication trends and reporting quality has not been conducted to identify unmet needs and future directions. PURPOSE We aimed to identify which intracranial vasculopathies need more data and to highlight areas of strengths and weaknesses in reporting. DATA SOURCES PubMed, EMBASE, and MEDLINE databases were searched up to September 2018 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA ANALYSIS Two independent reviewers screened and extracted data from 128 articles. The Strengthening the Reporting of Observational Studies in Epidemiology guidelines were used to assess the reporting quality of analytic observational studies. DATA SYNTHESIS There has been an exponentially increasing trend in the number of vessel wall MR imaging publications during the past 24 years (P < .0001). Intracranial atherosclerosis is the most commonly studied intracranial vasculopathy (49%), followed by dissections (13%), aneurysms (8%), and vasculitis (5%). Analytic observational study designs composed 48% of the studies. Transcontinental collaborations showed nonsignificantly higher reporting quality compared with work originating from single continents (P = .20). LIMITATIONS A limitation is the heterogeneity in study designs. CONCLUSIONS Investigations on the diagnostic utility of vessel wall MR imaging in less commonly studied intracranial vasculopathies such as dissections, aneurysms, and vasculitis are warranted. More consistent adherence to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines should improve transparency and maximize effective synthesis for clinical translation. Diverse collaborative teams are encouraged to advance the understanding of intracranial vasculopathies using vessel wall MR imaging.
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Affiliation(s)
- J W Song
- From the Departments of Radiology (J.W.S., S.C.G., S.W., W.R.W., L.A.L.)
| | - S C Guiry
- From the Departments of Radiology (J.W.S., S.C.G., S.W., W.R.W., L.A.L.)
| | - H Shou
- Department of Biostatistics, Epidemiology and Informatics (H.S.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - S Wang
- From the Departments of Radiology (J.W.S., S.C.G., S.W., W.R.W., L.A.L.)
| | - W R Witschey
- From the Departments of Radiology (J.W.S., S.C.G., S.W., W.R.W., L.A.L.)
| | | | | | - L A Loevner
- From the Departments of Radiology (J.W.S., S.C.G., S.W., W.R.W., L.A.L.)
- Otolaryngology (L.A.L.)
- Neurosurgery (L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
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21
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MATSUSHIGE T, SHIMONAGA K, MIZOUE T, HOSOGAI M, HASHIMOTO Y, TAKAHASHI H, KANEKO M, ONO C, ISHII D, SAKAMOTO S, KURISU K. Lessons from Vessel Wall Imaging of Intracranial Aneurysms: New Era of Aneurysm Evaluation beyond Morphology. Neurol Med Chir (Tokyo) 2019; 59:407-414. [PMID: 31611525 PMCID: PMC6867935 DOI: 10.2176/nmc.ra.2019-0103] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 09/02/2019] [Indexed: 11/20/2022] Open
Abstract
Recent basic studies have clarified that aneurysmal wall inflammation plays an important role in the pathophysiology of intracranial aneurysms. However, it remains an interdisciplinary challenge to visualize aneurysm wall status in vivo. MR-vessel wall imaging (VWI) is a current topic of advanced imaging techniques since it could provide an additional value for unruptured intracranial aneurysms (UIAs) risk stratification. With regard to ruptured intracranial aneurysms, VWI could identify a ruptured aneurysm in patients with multiple intracranial aneurysms. Intraluminal thrombus could be a clue to interpret aneurysm wall enhancement on VWI in ruptured intracranial aneurysms. The interpretation of VWI findings in UIAs would require much caution. Actually aneurysm wall enhancement in VWI was significantly associated with consensus morphologic risk factors. However, aneurysmal wall with contrast enhancement oftentimes associated with atherosclerotic, degenerated and thickened wall structure. It remains ill defined if thin wall without wall enhancement (oftentimes invisible in VWI) could be actually safe or look over wall vulnerability. We reviewed currently available studies, especially focusing on VWI for intracranial aneurysms and discussed the clinical utility of VWI.
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MESH Headings
- Aged
- Aneurysm, Ruptured/diagnostic imaging
- Aneurysm, Ruptured/pathology
- Aneurysm, Ruptured/physiopathology
- Cerebral Angiography
- Cerebral Arteries/diagnostic imaging
- Cerebral Arteries/pathology
- Cerebral Arteries/physiopathology
- Female
- Humans
- Image Processing, Computer-Assisted
- Imaging, Three-Dimensional
- Inflammation/diagnostic imaging
- Inflammation/pathology
- Inflammation/physiopathology
- Intracranial Aneurysm/diagnostic imaging
- Intracranial Aneurysm/pathology
- Intracranial Aneurysm/physiopathology
- Intracranial Arteriosclerosis/diagnostic imaging
- Intracranial Arteriosclerosis/pathology
- Intracranial Arteriosclerosis/physiopathology
- Intracranial Thrombosis/diagnostic imaging
- Intracranial Thrombosis/pathology
- Intracranial Thrombosis/physiopathology
- Magnetic Resonance Angiography
- Male
- Middle Aged
- Muscle, Smooth, Vascular/diagnostic imaging
- Muscle, Smooth, Vascular/pathology
- Muscle, Smooth, Vascular/physiopathology
- Risk Factors
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Affiliation(s)
- Toshinori MATSUSHIGE
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Hiroshima, Japan
| | - Koji SHIMONAGA
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Hiroshima, Japan
| | - Tatsuya MIZOUE
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Masahiro HOSOGAI
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Yukishige HASHIMOTO
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Hiroki TAKAHASHI
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Mayumi KANEKO
- Department of Pathology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Chiaki ONO
- Department of Radiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Daizo ISHII
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Hiroshima, Japan
- Department of Neurosurgery, Iowa University, Iowa City, IA, USA
| | - Shigeyuki SAKAMOTO
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Hiroshima, Japan
| | - Kaoru KURISU
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Hiroshima, Japan
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22
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Shimonaga K, Matsushige T, Ishii D, Sakamoto S, Hosogai M, Kawasumi T, Kaneko M, Ono C, Kurisu K. Clinicopathological Insights From Vessel Wall Imaging of Unruptured Intracranial Aneurysms. Stroke 2019; 49:2516-2519. [PMID: 30355091 DOI: 10.1161/strokeaha.118.021819] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- The clinical significance of vessel wall imaging (VWI) remains unclear in patients with unruptured intracranial aneurysms. This study was performed to investigate the correlations between aneurysm wall imaging findings and histopathologic aneurysm wall architectures. Methods- A total of 9 aneurysms was evaluated by VWI and subsequently characterized with histopathology. We used VWI to visualize the aneurysm wall and determine if there was aneurysm wall enhancement after gadolinium contrast administration. Results- Aneurysm wall structures were identified in 6 of 9 unruptured intracranial aneurysms by native VWI, and wall enhancement was identified in 5 of these 6 aneurysms. Histopathologic studies revealed that wall thickening accompanied by atherosclerosis, neovascularization, and macrophage infiltration corresponded to visualization of the aneurysm wall by native VWI and to aneurysm wall enhancement. Conclusions- VWI can visualize thickening of the aneurysm wall, and wall enhancement corresponded to histologically confirmed degenerative changes accompanied by neovascularization and prominent macrophage infiltration.
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Affiliation(s)
- Koji Shimonaga
- From the Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (K.S., T.M., D.I., S.S., K.K.).,Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Japan (K.S., T.M., M.H., T.K.)
| | - Toshinori Matsushige
- From the Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (K.S., T.M., D.I., S.S., K.K.).,Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Japan (K.S., T.M., M.H., T.K.)
| | - Daizo Ishii
- From the Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (K.S., T.M., D.I., S.S., K.K.)
| | - Shigeyuki Sakamoto
- From the Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (K.S., T.M., D.I., S.S., K.K.)
| | - Masahiro Hosogai
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Japan (K.S., T.M., M.H., T.K.)
| | - Tomohiro Kawasumi
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Japan (K.S., T.M., M.H., T.K.)
| | - Mayumi Kaneko
- Department of Pathology, Hiroshima City Asa Citizens Hospital, Japan (M.K.)
| | - Chiaki Ono
- Department of Radiology, Hiroshima City Asa Citizens Hospital, Japan (C.O.)
| | - Kaoru Kurisu
- From the Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (K.S., T.M., D.I., S.S., K.K.)
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23
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Samaniego EA, Roa JA, Hasan D. Vessel wall imaging in intracranial aneurysms. J Neurointerv Surg 2019; 11:1105-1112. [PMID: 31337731 DOI: 10.1136/neurintsurg-2019-014938] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 05/30/2019] [Accepted: 06/05/2019] [Indexed: 01/06/2023]
Abstract
High-resolution vessel wall imaging (HR-VWI) is becoming a useful tool in the characterization and identification of unstable unruptured brain aneurysms. However, it has not been validated for clinical use. The current evidence on HR-VWI techniques for characterization of brain aneurysms is described in this review. Specific imaging approaches such as aneurysm wall contrast enhancement, MRI-quantitative susceptibility mapping, and 7T MRI are described in detail.
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Affiliation(s)
- Edgar A Samaniego
- Neurology, Neurosurgery and Radiology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Jorge A Roa
- Neurology and Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - David Hasan
- Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
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24
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Cornelissen BMW, Leemans EL, Slump CH, Marquering HA, Majoie CBLM, van den Berg R. Vessel wall enhancement of intracranial aneurysms: fact or artifact? Neurosurg Focus 2019; 47:E18. [DOI: 10.3171/2019.4.focus19236] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 04/12/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVEFor patients with subarachnoid hemorrhage (SAH) and multiple intracranial aneurysms, it is often challenging to identify the ruptured aneurysm. Some investigators have asserted that vessel wall imaging (VWI) can be used to identify the ruptured aneurysm since wall enhancement after contrast agent injection is presumably related to inflammation in unstable and ruptured aneurysms. The aim of this study was to determine whether additional factors contribute to aneurysm wall enhancement by assessing imaging data in a series of patients.METHODSPatients with symptoms of SAH who subsequently underwent VWI in the period between January 2017 and September 2018 were eligible for study inclusion. Three-dimensional turbo spin-echo sequences with motion-sensitized driven-equilibrium preparation pulses were acquired using a 3-T MRI scanner to visualize the aneurysm wall. Identification of the ruptured aneurysm was based on aneurysm characteristics and hemorrhage distributions on MRI. Complementary imaging data (CT, DSA, MRI) were used to assess potential underlying enhancement mechanisms. Additionally, aneurysm luminal diameter measurements on MRA were compared with those on contrast-enhanced VWI to assess the intraluminal contribution to aneurysm enhancement.RESULTSSix patients with 14 aneurysms were included in this series. The mean aneurysm size was 5.8 mm (range 1.1–16.9 mm). A total of 10 aneurysms showed enhancement on VWI; 5 ruptured aneurysms showed enhancement, and 1 unruptured but symptomatic aneurysm showed enhancement on VWI and ruptured 1 day later. Four unruptured aneurysms showed enhancement. In 6 (60%) of the 10 enhanced aneurysms, intraluminal diameters appeared notably smaller (≥ 0.8 mm smaller) on contrast-enhanced VWI compared to their appearance on multiple overlapping thin slab acquisition time of flight (MOTSA-TOF) MRA and/or precontrast VWI, suggesting that enhancement was at least partially in the aneurysm lumen itself.CONCLUSIONSSeveral factors other than the hypothesized inflammatory response contribute to aneurysm wall enhancement. In 60% of the cases in this study, enhancement was at least partially caused by slow intraaneurysmal flow, leading to pseudo-enhancement of the aneurysm wall. Notwithstanding, there seems to be clinical value in differentiating ruptured from unruptured aneurysms using VWI, but the hypothesis that we image the inflammatory cell infiltration in the aneurysm wall is not yet confirmed.
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Affiliation(s)
- Bart M. W. Cornelissen
- 1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam
- 2Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam; and
- 3University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, The Netherlands
| | - Eva L. Leemans
- 1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam
- 2Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam; and
| | - Cornelis H. Slump
- 3University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, The Netherlands
| | - Henk A. Marquering
- 1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam
- 2Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam; and
| | - Charles B. L. M. Majoie
- 1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam
| | - René van den Berg
- 1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam
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25
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Vergouwen MDI, Backes D, van der Schaaf IC, Hendrikse J, Kleinloog R, Algra A, Rinkel GJE. Gadolinium Enhancement of the Aneurysm Wall in Unruptured Intracranial Aneurysms Is Associated with an Increased Risk of Aneurysm Instability: A Follow-Up Study. AJNR Am J Neuroradiol 2019; 40:1112-1116. [PMID: 31221634 DOI: 10.3174/ajnr.a6105] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 05/14/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE Previous studies have suggested that gadolinium enhancement of the wall of unruptured intracranial aneurysms on MR imaging may reflect aneurysm wall instability. However, all previous studies were cross-sectional. In this longitudinal study, we investigated whether aneurysm wall enhancement is associated with an increased risk of aneurysm instability. MATERIALS AND METHODS We included all patients 18 years of age or older with ≥1 unruptured aneurysm from the University Medical Center Utrecht, the Netherlands, who were included in 2 previous studies with either 3T or 7T aneurysm wall MR imaging and for whom it was decided not to treat the aneurysm but to monitor it with follow-up imaging. We investigated the risk of growth or rupture during follow-up of aneurysms with and without gadolinium enhancement of the aneurysm wall at baseline and calculated the risk difference between the 2 groups with corresponding 95% confidence intervals. RESULTS We included 57 patients with 65 unruptured intracranial aneurysms. After a median follow-up of 27 months (interquartile range, 20-31 months), growth (n = 2) or rupture (n = 2) was observed in 4 of 19 aneurysms (21%; 95% CI, 6%-54%) with wall enhancement and in zero of 46 aneurysms (0%; 95% CI, 0%-8%) without enhancement (risk difference, 21%; 95% CI, 3%-39%). CONCLUSIONS Gadolinium enhancement of the aneurysm wall on MR imaging is associated with an increased risk of aneurysm instability. The absence of wall enhancement makes it unlikely that the aneurysm will grow or rupture in the short term. Larger studies are needed to investigate whether aneurysm wall enhancement is an independent predictor of aneurysm instability.
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Affiliation(s)
- M D I Vergouwen
- From the Department of Neurology and Neurosurgery (M.D.I.V., D.B., A.A., G.J.E.R.)
| | - D Backes
- From the Department of Neurology and Neurosurgery (M.D.I.V., D.B., A.A., G.J.E.R.).,Department of General Practice (D.B.), Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - J Hendrikse
- Brain Center Rudolf Magnus, Department of Radiology (I.C.v.d.S., J.H.)
| | - R Kleinloog
- Department of Neurology (R.K.), Academic Medical Center, Amsterdam, the Netherlands
| | - A Algra
- From the Department of Neurology and Neurosurgery (M.D.I.V., D.B., A.A., G.J.E.R.)
| | - G J E Rinkel
- From the Department of Neurology and Neurosurgery (M.D.I.V., D.B., A.A., G.J.E.R.).,Julius Center for Health Sciences and Primary Care, (G.J.E.R.), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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26
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Liu X, Zhang Z, Zhu C, Feng J, Liu P, Kong Q, Zhang X, Zhang Q, Jin H, Ge H, Jiang Y, Saloner D, Li Y. Wall enhancement of intracranial saccular and fusiform aneurysms may differ in intensity and extension: a pilot study using 7-T high-resolution black-blood MRI. Eur Radiol 2019; 30:301-307. [PMID: 31218429 DOI: 10.1007/s00330-019-06275-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 04/18/2019] [Accepted: 05/14/2019] [Indexed: 12/17/2022]
Abstract
PURPOSE To evaluate and compare wall enhancement patterns in saccular and fusiform intracranial aneurysms using high-resolution black-blood MRI at 7 T. METHODS Thirty-one patients with 32 unruptured intracranial aneurysms (21 saccular and 11 fusiform) underwent 7-T black-blood MRI. Aneurysm wall enhancement (AWE) was categorized as follows: no wall enhancement (NWE), focal wall enhancement (FWE), and uniform wall enhancement (UWE). The degree of enhancement was scored as follows: 0 (no enhancement), 1 (signal intensity (SI) of the aneurysm wall less than that of the pituitary infundibulum), and 2 (equal to that of the pituitary infundibulum). The chi-squared test was used to compare the AWE pattern and degree between saccular and fusiform aneurysms. RESULTS In saccular aneurysms, 12/21 (57%) enhanced. Of these, 9 showed FWE (5 grade 1 and 4 grade 2), and 3 showed UWE (2 grade 1 and 1 grade 2). In fusiform aneurysms, 11/11 (100%) enhanced. Of these, 1 showed FWE and 10 showed UWE. All fusiform aneurysms had grade-2 enhancement. Fusiform aneurysms had more extensive and higher SI AWE than saccular aneurysms (p < 0.01) despite having a similar size (6.9 ± 3.0 mm vs. 8.0 ± 2.9, p = 0.23). For saccular aneurysm, larger aneurysm size was correlated with higher degree of enhancement with Pearson's r = 0.64 (p = 0.002). CONCLUSION Intracranial fusiform aneurysms had enhancement of higher SI and that covered a more extensive area than saccular aneurysms, which might indicate differences in vessel wall pathology. KEY POINTS • Intracranial aneurysm wall enhancement can be reliably characterized by 7-T black-blood MRI. • AWE in intracranial fusiform aneurysms presents over a larger surface area and with greater signal intensity as compared with that in saccular aneurysms, which might indicate differences in pathology. • Stronger signal intensity of AWE correlates with the aneurysm size in saccular aneurysms.
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Affiliation(s)
- Xinke Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zihao Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China
| | - Chengcheng Zhu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Junqiang Feng
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peng Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qingle Kong
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xianchang Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Qiang Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hengwei Jin
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huijian Ge
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuhua Jiang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Youxiang Li
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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27
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Leemans EL, Cornelissen BMW, Rosalini G, Verbaan D, Schneiders JJ, van den Berg R, Vandertop WP, van Bavel ET, Slump CH, Majoie CBLM, Marquering HA. Impact of Intracranial Aneurysm Morphology and Rupture Status on the Particle Residence Time. J Neuroimaging 2019; 29:487-492. [PMID: 31002750 PMCID: PMC6618041 DOI: 10.1111/jon.12618] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/29/2019] [Accepted: 04/02/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE Aneurysm hemodynamics play an important role in aneurysm growth and subsequent rupture. Within the available hemodynamic characteristics, particle residence time (PRT) is relatively unexplored. However, some studies have shown that PRT is related to thrombus formation and inflammation. The goal of this study is to evaluate the association between PRT and aneurysm rupture and morphology. METHODS We determined the PRT for 113 aneurysms (61 unruptured, 53 ruptured) based on computational fluid dynamic models. Virtual particles were injected into the parent vessel and followed during multiple cardiac cycles. PRT was defined as the time needed for 99% of the particles that entered an aneurysm to leave the aneurysm. Subsequently, we evaluated the association between PRT, rupture, and morphology (aneurysm type, presence of blebs, or multiple lobulations). RESULTS PRT showed no significant difference between unruptured (1.1 seconds interquartile range [IQR .39-2.0 seconds]) and ruptured aneurysms (1.2 seconds [IQR .47-2.3 seconds]). PRT was influenced by aneurysm morphology. Longer PRTs were seen in bifurcation aneurysms (1.3 seconds [IQR .54-2.4 seconds], P = .01) and aneurysms with blebs or multiple lobulations (1.92 seconds [IQR .94-2.8 seconds], P < .001). Four of five partially thrombosed aneurysms had a long residence time (>1.9 seconds). CONCLUSIONS Our study shows an influence of aneurysm morphology on PRT. Nevertheless, it suggests that PRT cannot be used to differentiate unruptured and ruptured aneurysms.
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Affiliation(s)
- E L Leemans
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - B M W Cornelissen
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,MIRA Institute for Biomedical Engineering and Technical Medicine, University of Twente, Enschede, the Netherlands
| | - G Rosalini
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Industrial Engineering and Information, University of Pavia, Pavia, Italy
| | - D Verbaan
- Neurosurgical Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - J J Schneiders
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - R van den Berg
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - W P Vandertop
- Neurosurgical Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - E T van Bavel
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - C H Slump
- MIRA Institute for Biomedical Engineering and Technical Medicine, University of Twente, Enschede, the Netherlands
| | - C B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - H A Marquering
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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Tian B, Toossi S, Eisenmenger L, Faraji F, Ballweber MK, Josephson SA, Haraldsson H, Zhu C, Ahn S, Laub G, Hess C, Saloner D. Visualizing wall enhancement over time in unruptured intracranial aneurysms using 3D vessel wall imaging. J Magn Reson Imaging 2018; 50:193-200. [DOI: 10.1002/jmri.26553] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 10/07/2018] [Accepted: 10/09/2018] [Indexed: 11/08/2022] Open
Affiliation(s)
- Bing Tian
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
- Department of RadiologyChanghai Hospital of Shanghai Shanghai P.R. China
| | - Shahed Toossi
- Department of NeurologyUniversity of California San Francisco California USA
| | - Laura Eisenmenger
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
| | - Farshid Faraji
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
| | - Megan K. Ballweber
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
| | - S. Andrew Josephson
- Department of NeurologyUniversity of California San Francisco California USA
| | - Henrik Haraldsson
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
| | - Chengcheng Zhu
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
| | | | | | - Christopher Hess
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
| | - David Saloner
- Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
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29
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Matsushige T, Kraemer M, Sato T, Berlit P, Forsting M, Ladd ME, Jabbarli R, Sure U, Khan N, Schlamann M, Wrede KH. Visualization and Classification of Deeply Seated Collateral Networks in Moyamoya Angiopathy with 7T MRI. AJNR Am J Neuroradiol 2018; 39:1248-1254. [PMID: 29880473 DOI: 10.3174/ajnr.a5700] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 03/07/2018] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE Collateral networks in Moyamoya angiopathy have a complex angioarchitecture difficult to comprehend on conventional examinations. This study aimed to evaluate morphologic patterns and the delineation of deeply seated collateral networks using ultra-high-field MRA in comparison with conventional DSA. MATERIALS AND METHODS Fifteen white patients with Moyamoya angiopathy were investigated in this prospective trial. Sequences acquired at 7T were TOF-MRA with 0.22 × 0.22 × 0.41 mm3 resolution and MPRAGE with 0.7 × 0.7 × 0.7 mm3 resolution. Four raters evaluated the presence of deeply seated collateral networks and image quality in a consensus reading of DSA, TOF-MRA, and MPRAGE using a 5-point scale in axial source images and maximum intensity projections. Delineation of deeply seated collateral networks by different imaging modalities was compared by means of the McNemar test, whereas image quality was compared using the Wilcoxon signed-rank test. RESULTS The relevant deeply seated collateral networks were classified into 2 categories and 6 pathways. A total of 100 collateral networks were detected on DSA; 106, on TOF-MRA; and 73, on MPRAGE. Delineation of deeply seated collateral networks was comparable between TOF-MRA and DSA (P = .25); however, both were better than MPRAGE (P < .001). CONCLUSIONS This study demonstrates excellent delineation of 6 distinct deeply seated collateral network pathways in Moyamoya angiopathy in white adults using 7T TOF-MRA, comparable to DSA.
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Affiliation(s)
- T Matsushige
- From the Department of Neurosurgery (T.M., T.S., R.J., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany.,Department of Neurosurgery (T.M.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.,Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., T.S., M.E.L., K.H.W.), University Duisburg-Essen, Essen, Germany
| | - M Kraemer
- Department of Neurology (M.K., P.B.), Alfried Krupp Hospital, Essen, Germany.,Department of Neurology (M.K.), University Hospital Duesseldorf, Duesseldorf, Germany
| | - T Sato
- From the Department of Neurosurgery (T.M., T.S., R.J., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany.,Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., T.S., M.E.L., K.H.W.), University Duisburg-Essen, Essen, Germany.,Department of Neurosurgery (T.S.), Fukushima Medical University, Fukushima, Japan
| | - P Berlit
- Department of Neurology (M.K., P.B.), Alfried Krupp Hospital, Essen, Germany
| | - M Forsting
- Department of Diagnostic and Interventional Radiology and Neuroradiology (M.F., M.S.), University Hospital Essen, Essen, Germany
| | - M E Ladd
- Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., T.S., M.E.L., K.H.W.), University Duisburg-Essen, Essen, Germany.,Medical Physics in Radiology (M.E.L.), German Cancer Research Center, Heidelberg, Germany.,Faculty of Physics and Astronomy and Faculty of Medicine (M.E.L.), University of Heidelberg, Heidelberg, Germany
| | - R Jabbarli
- From the Department of Neurosurgery (T.M., T.S., R.J., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - U Sure
- From the Department of Neurosurgery (T.M., T.S., R.J., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - N Khan
- Moyamoya Center, Division of Pediatric Neurosurgery (N.K.), Department of Surgery, University Children's Hospital Zurich, Zurich, Switzerland
| | - M Schlamann
- Department of Diagnostic and Interventional Radiology and Neuroradiology (M.F., M.S.), University Hospital Essen, Essen, Germany.,Department of Neuroradiology (M.S.), University Hospital Cologne, Cologne, Germany
| | - K H Wrede
- From the Department of Neurosurgery (T.M., T.S., R.J., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany .,Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., T.S., M.E.L., K.H.W.), University Duisburg-Essen, Essen, Germany
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30
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Harteveld AA, Denswil NP, Van Hecke W, Kuijf HJ, Vink A, Spliet WGM, Daemen MJ, Luijten PR, Zwanenburg JJM, Hendrikse J, van der Kolk AG. Ex vivo vessel wall thickness measurements of the human circle of Willis using 7T MRI. Atherosclerosis 2018; 273:106-114. [PMID: 29715587 DOI: 10.1016/j.atherosclerosis.2018.04.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 03/30/2018] [Accepted: 04/18/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND AND AIMS MRI can detect intracranial vessel wall thickening before any luminal stenosis is present. Apart from representing a vessel wall lesion, wall thickening could also reflect normal (age-related) variations in vessel wall thickness present throughout the intracranial arterial vasculature. The aim of this study was to perform vessel wall thickness measurements of the major intracranial arteries in ex vivo circle of Willis (CoW) specimens using 7T MRI, to obtain more detailed information about wall thickness variations of the intracranial arteries. METHODS Fifteen human CoW specimens were scanned at 7T MRI with an ultrahigh-resolution T1-weighted sequence. Five specimens were used for validation of MRI measurements with histology and evaluation of inter-rater reliability and agreement. The other 10 specimens from patients with (n = 5) and without (n = 5) cerebrovascular disease were used for vessel wall thickness measurements over the entire length of the major arterial segments of the CoW using MRI only. RESULTS MRI measurements showed excellent agreement with histology. Mean wall thickness varied from 0.45 to 0.66 mm, minimum wall thickness from 0.31 to 0.42 mm, maximum wall thickness from 0.52 to 0.86 mm, and normalized wall index from 0.64 to 0.75. On average, vessel walls were thicker for symptomatic patients compared to asymptomatic patients. CONCLUSIONS High-resolution MRI enables accurate measurement of vessel wall thickness in ex vivo CoW specimens. Vessel wall thickness measurements over the entire length of segments showed considerable variation both within and between arterial segments of patients.
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Affiliation(s)
- Anita A Harteveld
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands.
| | - Nerissa P Denswil
- Department of Pathology, Academic Medical Center, Postbox 22660, 1100 DD, Amsterdam, The Netherlands
| | - Wim Van Hecke
- Department of Pathology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Aryan Vink
- Department of Pathology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Wim G M Spliet
- Department of Pathology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Mat J Daemen
- Department of Pathology, Academic Medical Center, Postbox 22660, 1100 DD, Amsterdam, The Netherlands
| | - Peter R Luijten
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Jaco J M Zwanenburg
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Anja G van der Kolk
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
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31
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Lehman VT, Brinjikji W, Mossa-Basha M, Lanzino G, Rabinstein AA, Kallmes DF, Huston J. Conventional and high-resolution vessel wall MRI of intracranial aneurysms: current concepts and new horizons. J Neurosurg 2018; 128:969-981. [DOI: 10.3171/2016.12.jns162262] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Intracranial aneurysms are heterogeneous in histopathology and imaging appearance. The biological behavior of different types of aneurysms is now known to depend on the structure and physiology of the aneurysm wall itself in addition to intraluminal flow and other luminal features. Aneurysm wall structure and imaging markers of physiology such as aneurysm wall enhancement have been assessed in many prior investigations using conventional-resolution MRI. Recently, high-resolution vessel wall imaging (HR-VWI) techniques with MRI have been introduced. Reports of findings on high-resolution imaging have already emerged for many types of aneurysms demonstrating detailed characterization of wall enhancement, thickness, and components, but many questions remain unexplored. This review discusses the key HR-VWI literature to date. Aneurysm wall findings on conventional-resolution MRI are also discussed as these may help one understand the potential utility and findings on HR-VWI for various aneurysm types. The authors have illustrated these points with several examples demonstrating both features already described in the literature and novel cases demonstrating the potential for future clinical and research applications.
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Affiliation(s)
| | | | - Mahmud Mossa-Basha
- 2Department of Radiology, University of Washington Medical Center, Seattle, Washington
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32
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Kleinloog R, Zwanenburg JJM, Schermers B, Krikken E, Ruigrok YM, Luijten PR, Visser F, Regli L, Rinkel GJE, Verweij BH. Quantification of Intracranial Aneurysm Volume Pulsation with 7T MRI. AJNR Am J Neuroradiol 2018; 39:713-719. [PMID: 29472302 DOI: 10.3174/ajnr.a5546] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 11/30/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Aneurysm volume pulsation is a potential predictor of intracranial aneurysm rupture. We evaluated whether 7T MR imaging can quantify aneurysm volume pulsation. MATERIALS AND METHODS In Stage I of the study, 10 unruptured aneurysms in 9 patients were studied using a high-resolution (0.6-mm, isotropic) 3D gradient-echo sequence with cardiac gating. Semiautomatic segmentation was used to measure aneurysm volume (in cubic millimeters) per cardiac phase. Aneurysm pulsation was defined as the relative increase in volume between the phase with the smallest volume and the phase with the largest volume. The accuracy and precision of the measured volume pulsations were addressed by digital phantom simulations and a repeat image analysis. In Stage II, the imaging protocol was optimized and 9 patients with 9 aneurysms were studied with and without administration of a contrast agent. RESULTS The mean aneurysm pulsation in Stage I was 8% ± 7% (range, 2%-27%), with a mean volume change of 15 ± 14 mm3 (range, 3-51 mm3). The mean difference in volume change for the repeat image analysis was 2 ± 6 mm3. The artifactual volume pulsations measured with the digital phantom simulations were of the same magnitude as the volume pulsations observed in the patient data, even after protocol optimization in Stage II. CONCLUSIONS Volume pulsation quantification with the current imaging protocol on 7T MR imaging is not accurate due to multiple imaging artifacts. Future studies should always include aneurysm-specific accuracy analysis.
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Affiliation(s)
- R Kleinloog
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus
| | - J J M Zwanenburg
- Department of Radiology (J.J.M.Z., P.R.L., F.V.), Utrecht University, University Medical Center Utrecht, Utrecht, the Netherlands
| | - B Schermers
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus.,Department of Technical Medicine (B.S., E.K.), Faculty of Science and Technology, University of Twente, Enschede, the Netherlands
| | - E Krikken
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus.,Department of Technical Medicine (B.S., E.K.), Faculty of Science and Technology, University of Twente, Enschede, the Netherlands
| | - Y M Ruigrok
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus
| | - P R Luijten
- Department of Radiology (J.J.M.Z., P.R.L., F.V.), Utrecht University, University Medical Center Utrecht, Utrecht, the Netherlands
| | - F Visser
- Department of Radiology (J.J.M.Z., P.R.L., F.V.), Utrecht University, University Medical Center Utrecht, Utrecht, the Netherlands.,Philips Healthcare (F.V.), Best, the Netherlands
| | - L Regli
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus.,Department of Neurosurgery (L.R.), University Hospital Zurich, Zurich, Switzerland
| | - G J E Rinkel
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus
| | - B H Verweij
- From the Department of Neurology and Neurosurgery (R.K., B.S., E.K., Y.M.R., L.R., G.J.E.R., B.H.V.), Brain Center Rudolf Magnus
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33
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Current Perspectives in Imaging Modalities for the Assessment of Unruptured Intracranial Aneurysms: A Comparative Analysis and Review. World Neurosurg 2018; 113:280-292. [PMID: 29360591 DOI: 10.1016/j.wneu.2018.01.054] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 01/05/2018] [Accepted: 01/11/2018] [Indexed: 12/29/2022]
Abstract
BACKGROUND Intracranial aneurysms (IAs) are pathologic dilatations of cerebral arteries. This systematic review summarizes and compares imaging techniques for assessing unruptured IAs (UIAs). This review also addresses their uses in different scopes of practice. Pathophysiologic mechanisms are reviewed to better understand the clinical usefulness of each imaging modality. METHODS A literature review was performed using PubMed with these search terms: "intracranial aneurysm," "cerebral aneurysm," "magnetic resonance angiography (MRA)," computed tomography angiography (CTA)," "catheter angiography," "digital subtraction angiography," "molecular imaging," "ferumoxytol," and "myeloperoxidase". Only studies in English were cited. RESULTS Since the development and improvement of noninvasive diagnostic imaging (computed tomography angiography and magnetic resonance angiography), many prospective studies and meta-analyses have compared these tests with gold standard digital subtraction angiography (DSA). Although computed tomography angiography and magnetic resonance angiography have lower detection rates for UIAs, they are vital in the treatment and follow-up of UIAs. The reduction in ionizing radiation and lack of endovascular instrumentation with these modalities provide benefits compared with DSA. Novel molecular imaging techniques to detect inflammation within the aneurysmal wall with the goal of stratifying risk based on level of inflammation are under investigation. CONCLUSIONS DSA remains the gold standard for preoperative planning and follow-up for patients with IA. Newer imaging modalities such as ferumoxytol-enhanced magnetic resonance imaging are emerging techniques that provide critical in vivo information about the inflammatory milieu within aneurysm walls. With further study, these techniques may provide aneurysm rupture risk and prediction models for individualized patient care.
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Lindenholz A, van der Kolk AG, Zwanenburg JJM, Hendrikse J. The Use and Pitfalls of Intracranial Vessel Wall Imaging: How We Do It. Radiology 2018; 286:12-28. [DOI: 10.1148/radiol.2017162096] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Arjen Lindenholz
- From the Department of Radiology, Imaging Division, University Medical Center Utrecht, Heidelberglaan 100, 3508GA Utrecht, the Netherlands
| | - Anja G. van der Kolk
- From the Department of Radiology, Imaging Division, University Medical Center Utrecht, Heidelberglaan 100, 3508GA Utrecht, the Netherlands
| | - Jaco J. M. Zwanenburg
- From the Department of Radiology, Imaging Division, University Medical Center Utrecht, Heidelberglaan 100, 3508GA Utrecht, the Netherlands
| | - Jeroen Hendrikse
- From the Department of Radiology, Imaging Division, University Medical Center Utrecht, Heidelberglaan 100, 3508GA Utrecht, the Netherlands
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35
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Abstract
Magnetic resonance imaging (MRI) plays a key role in the investigation of cerebrovascular diseases. Compared with computed tomography (CT) and digital subtraction angiography (DSA), its advantages in diagnosing cerebrovascular pathology include its superior tissue contrast, its ability to visualize blood vessels without the use of a contrast agent, and its use of magnetic fields and radiofrequency pulses instead of ionizing radiation. In recent years, ultrahigh field MRI at 7 tesla (7 T) has shown promise in the diagnosis of many cerebrovascular diseases. The increased signal-to-noise ratio (SNR; 2.3x and 4.7x increase compared with 3 and 1.5 T, respectively) and contrast-to-noise ratio (CNR) at this higher field strength can be exploited to obtain a higher spatial resolution and higher lesion conspicuousness, enabling assessment of smaller brain structures and lesions. Cerebrovascular diseases can be assessed at different tissue levels; for instance, changes of the arteries feeding the brain can be visualized to determine the cause of ischemic stroke, regional changes in brain perfusion can be mapped to predict outcome after revascularization, and tissue damage, including old and recent ischemic infarcts, can be evaluated as a marker of ischemic burden. For the purpose of this review, we will discriminate 3 levels of assessment of cerebrovascular diseases using MRI: Pipes, Perfusion, and Parenchyma (3 Ps). The term Pipes refers to the brain-feeding arteries from the heart and aortic arch, upwards to the carotid arteries, vertebral arteries, circle of Willis, and smaller intracranial arterial branches. Perfusion is the amount of blood arriving at the brain tissue level, and includes the vascular reserve and perfusion territories. Parenchyma refers to the acute and chronic burden of brain tissue damage, which includes larger infarcts, smaller microinfarcts, and small vessel disease manifestations such as white matter lesions, lacunar infarcts, and microbleeds. In this review, we will describe the key developments in the last decade of 7-T MRI of cerebrovascular diseases, subdivided for these 3 levels of assessment.
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36
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Etminan N, Rinkel GJ. Unruptured intracranial aneurysms: development, rupture and preventive management. Nat Rev Neurol 2016; 12:699-713. [DOI: 10.1038/nrneurol.2016.150] [Citation(s) in RCA: 233] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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37
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Mandell DM, Mossa-Basha M, Qiao Y, Hess CP, Hui F, Matouk C, Johnson MH, Daemen MJAP, Vossough A, Edjlali M, Saloner D, Ansari SA, Wasserman BA, Mikulis DJ. Intracranial Vessel Wall MRI: Principles and Expert Consensus Recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2016; 38:218-229. [PMID: 27469212 DOI: 10.3174/ajnr.a4893] [Citation(s) in RCA: 414] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Intracranial vessel wall MR imaging is an adjunct to conventional angiographic imaging with CTA, MRA, or DSA. The technique has multiple potential uses in the context of ischemic stroke and intracranial hemorrhage. There remain gaps in our understanding of intracranial vessel wall MR imaging findings and research is ongoing, but the technique is already used on a clinical basis at many centers. This article, on behalf of the Vessel Wall Imaging Study Group of the American Society of Neuroradiology, provides expert consensus recommendations for current clinical practice.
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Affiliation(s)
- D M Mandell
- From the Division of Neuroradiology (D.M.M., D.J.M.), Department of Medical Imaging, University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - M Mossa-Basha
- Department of Radiology (M.M.-B.), University of Washington, Seattle, Washington
| | - Y Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., F.H., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - C P Hess
- Department of Radiology and Biomedical Imaging (C.P.H., D.S.), University of California, San Francisco, San Francisco, California
| | - F Hui
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., F.H., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - C Matouk
- Departments of Neurosurgery (C.M., M.H.J.).,Radiology and Biomedical Imaging (C.M., M.H.J.)
| | - M H Johnson
- Departments of Neurosurgery (C.M., M.H.J.).,Radiology and Biomedical Imaging (C.M., M.H.J.).,Surgery (M.H.J.), Yale University School of Medicine, New Haven, Connecticut
| | - M J A P Daemen
- Department of Pathology (M.J.A.P.D.), Academic Medical Center, Amsterdam, the Netherlands
| | - A Vossough
- Departments of Surgery (A.V.).,Radiology (A.V.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - M Edjlali
- Department of Radiology (M.E.), Université Paris Descartes Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale S894, Centre Hospitalier Sainte-Anne, Paris, France
| | - D Saloner
- Department of Radiology and Biomedical Imaging (C.P.H., D.S.), University of California, San Francisco, San Francisco, California
| | - S A Ansari
- Departments of Radiology (S.A.A.).,Neurology (S.A.A.).,Neurological Surgery (S.A.A.), Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - B A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., F.H., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - D J Mikulis
- From the Division of Neuroradiology (D.M.M., D.J.M.), Department of Medical Imaging, University Health Network and the University of Toronto, Toronto, Ontario, Canada
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38
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Fennell VS, Kalani MYS, Atwal G, Martirosyan NL, Spetzler RF. Biology of Saccular Cerebral Aneurysms: A Review of Current Understanding and Future Directions. Front Surg 2016; 3:43. [PMID: 27504449 PMCID: PMC4958945 DOI: 10.3389/fsurg.2016.00043] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 07/06/2016] [Indexed: 12/24/2022] Open
Abstract
Understanding the biology of intracranial aneurysms is a clinical quandary. How these aneurysms form, progress, and rupture is poorly understood. Evidence indicates that well-established risk factors play a critical role, along with immunologic factors, in their development and clinical outcomes. Much of the expanding knowledge of the inception, progression, and rupture of intracranial aneurysms implicates inflammation as a critical mediator of aneurysm pathogenesis. Thus, therapeutic targets exploiting this arm of aneurysm pathogenesis have been implemented, often with promising outcomes.
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Affiliation(s)
- Vernard S Fennell
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center , Phoenix, AZ , USA
| | - M Yashar S Kalani
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center , Phoenix, AZ , USA
| | - Gursant Atwal
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center , Phoenix, AZ , USA
| | - Nikolay L Martirosyan
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center , Phoenix, AZ , USA
| | - Robert F Spetzler
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center , Phoenix, AZ , USA
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39
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Harteveld AA, van der Kolk AG, van der Worp HB, Dieleman N, Siero JCW, Kuijf HJ, Frijns CJM, Luijten PR, Zwanenburg JJM, Hendrikse J. High-resolution intracranial vessel wall MRI in an elderly asymptomatic population: comparison of 3T and 7T. Eur Radiol 2016; 27:1585-1595. [PMID: 27387876 PMCID: PMC5334422 DOI: 10.1007/s00330-016-4483-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Revised: 06/07/2016] [Accepted: 06/21/2016] [Indexed: 01/20/2023]
Abstract
Objectives Several intracranial vessel wall sequences have been described in recent literature, with either 3-T or 7-T magnetic resonance imaging (MRI). In the current study, we compared 3-T and 7-T MRI in visualising both the intracranial arterial vessel wall and vessel wall lesions. Methods Twenty-one elderly asymptomatic volunteers were scanned by 3-T and 7-T MRI with an intracranial vessel wall sequence, both before and after contrast administration. Two raters scored image quality, and presence and characteristics of vessel wall lesions. Results Vessel wall visibility was equal or significantly better at 7 T for the studied arterial segments, even though there were more artefacts hampering assessment. The better visualisation of the vessel wall at 7 T was most prominent in the proximal anterior cerebral circulation and the posterior cerebral artery. In the studied elderly asymptomatic population, 48 vessel-wall lesions were identified at 3 T, of which 7 showed enhancement. At 7 T, 79 lesions were identified, of which 29 showed enhancement. Seventy-one percent of all 3-T lesions and 59 % of all 7-T lesions were also seen at the other field strength. Conclusions Despite the large variability in detected lesions at both field strengths, we believe 7-T MRI has the highest potential to identify the total burden of intracranial vessel wall lesions. Key Points • Intracranial vessel wall visibility was equal or significantly better at 7-T MRI • Most vessel wall lesions in the cerebral arteries were found at 7-T MRI • Many intracranial vessel wall lesions showed enhancement after contrast administration • Large variability in detected intracranial vessel wall lesions at both field strengths • Seven-tesla MRI has the highest potential to identify total burden of intracranial atherosclerosis Electronic supplementary material The online version of this article (doi:10.1007/s00330-016-4483-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anita A Harteveld
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands.
| | - Anja G van der Kolk
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nikki Dieleman
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Jeroen C W Siero
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Catharina J M Frijns
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Peter R Luijten
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Jaco J M Zwanenburg
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Postbox 85500, 3508 GA, Utrecht, The Netherlands
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Omodaka S, Endo H, Niizuma K, Fujimura M, Inoue T, Sato K, Sugiyama SI, Tominaga T. Quantitative Assessment of Circumferential Enhancement along the Wall of Cerebral Aneurysms Using MR Imaging. AJNR Am J Neuroradiol 2016; 37:1262-6. [PMID: 26939634 DOI: 10.3174/ajnr.a4722] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 01/03/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The incidence of wall enhancement of cerebral aneurysms on vessel wall MR imaging has been described as higher in ruptured intracranial aneurysms than in unruptured intracranial aneurysms, but the difference in the degree of enhancement between ruptured and unruptured aneurysms is unknown. We compared the degree of enhancement between ruptured and unruptured intracranial aneurysms by using quantitative MR imaging measures. MATERIALS AND METHODS We performed quantitative analyses of circumferential enhancement along the wall of cerebral aneurysms in 28 ruptured and 76 unruptured consecutive cases by using vessel wall MR imaging. A 3D-T1-weighted fast spin-echo sequence was obtained before and after contrast media injection, and the wall enhancement index was calculated. We then compared characteristics between ruptured and unruptured aneurysms. RESULTS The wall enhancement index was significantly higher in ruptured than in unruptured aneurysms (1.70 ± 1.06 versus 0.89 ± 0.88, respectively; P = .0001). The receiver operating characteristic curve analysis found that the most reliable cutoff value of the wall enhancement index to differentiate ruptured from unruptured aneurysms was 0.53 (sensitivity, 0.96; specificity, 0.47). The wall enhancement index remained significant in the multivariate logistic regression analysis (P < .0001). CONCLUSIONS Greater circumferential enhancement along the wall of cerebral aneurysms correlates with the ruptured state. A quantitative evaluation of circumferential enhancement by using vessel wall MR imaging could be useful in differentiating ruptured from unruptured intracranial aneurysms.
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Affiliation(s)
- S Omodaka
- From the Departments of Neurosurgery (S.O., H.E.)
| | - H Endo
- From the Departments of Neurosurgery (S.O., H.E.)
| | - K Niizuma
- Department of Neurosurgery (K.N., M.F., T.T.), Tohoku University Graduate School of Medicine, Sendai, Japan
| | - M Fujimura
- Department of Neurosurgery (K.N., M.F., T.T.), Tohoku University Graduate School of Medicine, Sendai, Japan
| | - T Inoue
- Department of Neurosurgery (T.I.), Sendai Medical Center, Sendai, Japan
| | - K Sato
- Neuroendovascular Therapy (K.S.)
| | - S-I Sugiyama
- Neuroanesthesia (S.-i.S.), Kohnan Hospital, Sendai, Japan
| | - T Tominaga
- Department of Neurosurgery (K.N., M.F., T.T.), Tohoku University Graduate School of Medicine, Sendai, Japan
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de Havenon A, Chung L, Park M, Mossa-Basha M. Intracranial vessel wall MRI: a review of current indications and future applications. ACTA ACUST UNITED AC 2016. [DOI: 10.1186/s40809-016-0021-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Alexander MD, Yuan C, Rutman A, Tirschwell DL, Palagallo G, Gandhi D, Sekhar LN, Mossa-Basha M. High-resolution intracranial vessel wall imaging: imaging beyond the lumen. J Neurol Neurosurg Psychiatry 2016; 87:589-97. [PMID: 26746187 PMCID: PMC5504758 DOI: 10.1136/jnnp-2015-312020] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 11/23/2015] [Indexed: 01/21/2023]
Abstract
Accurate and timely diagnosis of intracranial vasculopathies is important due to significant risk of morbidity with delayed and/or incorrect diagnosis both from the disease process as well as inappropriate therapies. Conventional vascular imaging techniques for analysis of intracranial vascular disease provide limited information since they only identify changes to the vessel lumen. New advanced MR intracranial vessel wall imaging (IVW) techniques can allow direct characterisation of the vessel wall. These techniques can advance diagnostic accuracy and may potentially improve patient outcomes by better guided treatment decisions in comparison to previously available invasive and non-invasive techniques. While neuroradiological expertise is invaluable in accurate examination interpretation, clinician familiarity with the application and findings of the various vasculopathies on IVW can help guide diagnostic and therapeutic decision-making. This review article provides a brief overview of the technical aspects of IVW and discusses the IVW findings of various intracranial vasculopathies, differentiating characteristics and indications for when this technique can be beneficial in patient management.
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Affiliation(s)
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Aaron Rutman
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - David L Tirschwell
- Department of Neurology, University of Washington, Seattle, Washington, USA
| | - Gerald Palagallo
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Dheeraj Gandhi
- Department of Radiology, Neurology and Neurosurgery, University of Maryland, Baltimore, Maryland, USA
| | - Laligam N Sekhar
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
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Matsushige T, Chen B, Ringelstein A, Umutlu L, Forsting M, Quick HH, Sure U, Wrede KH. Giant Intracranial Aneurysms at 7T MRI. AJNR Am J Neuroradiol 2016; 37:636-41. [PMID: 26564437 DOI: 10.3174/ajnr.a4569] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 08/20/2015] [Indexed: 11/07/2022]
Abstract
Giant intracranial aneurysms are rare vascular pathologies associated with high morbidity and mortality. The purpose of this in vivo study was to assess giant intracranial aneurysms and their wall microstructure by 7T MR imaging, previously only visualized in histopathologic examinations. Seven giant intracranial aneurysms were evaluated, and 2 aneurysms were available for histopathologic examination. Six of 7 (85.7%) showed intraluminal thrombus of various sizes. Aneurysm walls were depicted as hypointense in TOF-MRA and SWI sequences with excellent contrast ratios to adjacent brain parenchyma (range, 0.01-0.60 and 0.58-0.96, respectively). The triple-layered microstructure of the aneurysm walls was visualized in all aneurysms in TOF-MRA and SWI. This could be related to iron deposition in the wall, similar to the findings in 2 available histopathologic specimens. In vivo 7T TOF-MRA and SWI can delineate the aneurysm wall and the triple-layered wall microstructure in giant intracranial aneurysms.
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Affiliation(s)
- T Matsushige
- From the Department of Neurosurgery (T.M., B.C., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany Department of Neurosurgery (T.M.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., B.C., L.U., H.H.Q., K.H.W.), University Duisburg-Essen, Essen, Germany
| | - B Chen
- From the Department of Neurosurgery (T.M., B.C., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., B.C., L.U., H.H.Q., K.H.W.), University Duisburg-Essen, Essen, Germany
| | - A Ringelstein
- Department of Diagnostic and Interventional Radiology and Neuroradiology (A.R., L.U., M.F.)
| | - L Umutlu
- Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., B.C., L.U., H.H.Q., K.H.W.), University Duisburg-Essen, Essen, Germany Department of Diagnostic and Interventional Radiology and Neuroradiology (A.R., L.U., M.F.)
| | - M Forsting
- Department of Diagnostic and Interventional Radiology and Neuroradiology (A.R., L.U., M.F.)
| | - H H Quick
- Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., B.C., L.U., H.H.Q., K.H.W.), University Duisburg-Essen, Essen, Germany High Field and Hybrid MR Imaging (H.H.Q.), University Hospital Essen, Essen, Germany
| | - U Sure
- From the Department of Neurosurgery (T.M., B.C., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - K H Wrede
- From the Department of Neurosurgery (T.M., B.C., U.S., K.H.W.), University Hospital Essen, University Duisburg-Essen, Essen, Germany Erwin L. Hahn Institute for Magnetic Resonance Imaging (T.M., B.C., L.U., H.H.Q., K.H.W.), University Duisburg-Essen, Essen, Germany
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Matouk CC, Cord BJ, Yeung J, Malhotra A, Johnson MH, Minja FJ. High-resolution Vessel Wall Magnetic Resonance Imaging in Intracranial Aneurysms and Brain Arteriovenous Malformations. Top Magn Reson Imaging 2016; 25:49-55. [PMID: 27049241 DOI: 10.1097/rmr.0000000000000084] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Over the last several years, the advent of intracranial high-resolution vessel wall magnetic resonance imaging (VW-MRI) has provided a new lens with which to view cerebrovascular disease that has not previously been available with conventional imaging. It has already fundamentally changed the way that steno-occlusive diseases are evaluated at many academic centers. This review focuses on current and emerging applications of intracranial high-resolution VW-MRI in the clinical evaluation of intracranial aneurysms and brain arteriovenous malformations. Examples are provided from our clinical practice.
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Affiliation(s)
- Charles C Matouk
- *Department of Neurosurgery †Department of Radiology & Biomedical Imaging, Yale University School of Medicine, New Haven, CT
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Kleinloog R, Verweij BH, van der Vlies P, Deelen P, Swertz MA, de Muynck L, Van Damme P, Giuliani F, Regli L, van der Zwan A, Berkelbach van der Sprenkel JW, Han KS, Gosselaar P, van Rijen PC, Korkmaz E, Post JA, Rinkel GJE, Veldink JH, Ruigrok YM. RNA Sequencing Analysis of Intracranial Aneurysm Walls Reveals Involvement of Lysosomes and Immunoglobulins in Rupture. Stroke 2016; 47:1286-93. [PMID: 27026628 DOI: 10.1161/strokeaha.116.012541] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 03/08/2016] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND PURPOSE Analyzing genes involved in development and rupture of intracranial aneurysms can enhance knowledge about the pathogenesis of aneurysms, and identify new treatment strategies. We compared gene expression between ruptured and unruptured aneurysms and control intracranial arteries. METHODS We determined expression levels with RNA sequencing. Applying a multivariate negative binomial model, we identified genes that were differentially expressed between 44 aneurysms and 16 control arteries, and between 22 ruptured and 21 unruptured aneurysms. The differential expression of 8 relevant and highly significant genes was validated using digital polymerase chain reaction. Pathway analysis was used to identify enriched pathways. We also analyzed genes with an extreme pattern of differential expression: only expressed in 1 condition without any expression in the other. RESULTS We found 229 differentially expressed genes in aneurysms versus controls and 1489 in ruptured versus unruptured aneurysms. The differential expression of all 8 genes selected for digital polymerase chain reaction validation was confirmed. Extracellular matrix pathways were enriched in aneurysms versus controls, whereas pathways involved in immune response and the lysosome pathway were enriched in ruptured versus unruptured aneurysms. Immunoglobulin genes were expressed in aneurysms, but showed no expression in controls. CONCLUSIONS For rupture of intracranial aneurysms, we identified the lysosome pathway as a new pathway and found further evidence for the role of the immune response. Our results also point toward a role for immunoglobulins in the pathogenesis of aneurysms. Immune-modifying drugs are, therefore, interesting candidate treatment strategies in the prevention of aneurysm development and rupture.
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Affiliation(s)
- Rachel Kleinloog
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.).
| | - Bon H Verweij
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Pieter van der Vlies
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Patrick Deelen
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Morris A Swertz
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Louis de Muynck
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Philip Van Damme
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Fabrizio Giuliani
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Luca Regli
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Albert van der Zwan
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Jan W Berkelbach van der Sprenkel
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - K Sen Han
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Peter Gosselaar
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Peter C van Rijen
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Emine Korkmaz
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Jan A Post
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Gabriel J E Rinkel
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Jan H Veldink
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
| | - Ynte M Ruigrok
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands (R.K., B.H.V., F.G., A.v.d.Z., J.W.B.v.d.S., K.S.H., P.G., P.C.v.R., G.J.E.R., J.H.V., Y.M.R.); Department of Genetics (P.v.d.V., P.D., M.A.S.) and Genomics Coordination Center (P.D., M.A.S.), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Laboratory of Neurobiology, Vesalius Research Center, VIB, Leuven, Belgium (L.d.M., P.V.D.); Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland (L.R.); and Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands (E.K., J.A.P.)
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Yoon NK, McNally S, Taussky P, Park MS. Imaging of cerebral aneurysms: a clinical perspective. ACTA ACUST UNITED AC 2016. [DOI: 10.1186/s40809-016-0016-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Blankena R, Kleinloog R, Verweij BH, van Ooij P, Ten Haken B, Luijten PR, Rinkel GJE, Zwanenburg JJM. Thinner Regions of Intracranial Aneurysm Wall Correlate with Regions of Higher Wall Shear Stress: A 7T MRI Study. AJNR Am J Neuroradiol 2016; 37:1310-7. [PMID: 26892986 DOI: 10.3174/ajnr.a4734] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 12/22/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Both hemodynamics and aneurysm wall thickness are important parameters in aneurysm pathophysiology. Our aim was to develop a method for semi-quantitative wall thickness assessment on in vivo 7T MR images of intracranial aneurysms for studying the relation between apparent aneurysm wall thickness and wall shear stress. MATERIALS AND METHODS Wall thickness was analyzed in 11 unruptured aneurysms in 9 patients who underwent 7T MR imaging with a TSE-based vessel wall sequence (0.8-mm isotropic resolution). A custom analysis program determined the in vivo aneurysm wall intensities, which were normalized to the signal of nearby brain tissue and were used as measures of apparent wall thickness. Spatial wall thickness variation was determined as the interquartile range in apparent wall thickness (the middle 50% of the apparent wall thickness range). Wall shear stress was determined by using phase-contrast MR imaging (0.5-mm isotropic resolution). We performed visual and statistical comparisons (Pearson correlation) to study the relation between wall thickness and wall shear stress. RESULTS 3D colored apparent wall thickness maps of the aneurysms showed spatial apparent wall thickness variation, which ranged from 0.07 to 0.53, with a mean variation of 0.22 (a variation of 1.0 roughly means a wall thickness variation of 1 voxel [0.8 mm]). In all aneurysms, apparent wall thickness was inversely related to wall shear stress (mean correlation coefficient, -0.35; P < .05). CONCLUSIONS A method was developed to measure the wall thickness semi-quantitatively, by using 7T MR imaging. An inverse correlation between wall shear stress and apparent wall thickness was determined. In future studies, this noninvasive method can be used to assess spatial wall thickness variation in relation to pathophysiologic processes such as aneurysm growth and rupture.
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Affiliation(s)
- R Blankena
- From the Department of Neurology and Neurosurgery (R.B., R.K., B.H.V., G.J.E.R.) Faculty of Science and Technology (R.B., B.t.H.), Department of Technical Medicine, University of Twente, Enschede, the Netherlands
| | - R Kleinloog
- From the Department of Neurology and Neurosurgery (R.B., R.K., B.H.V., G.J.E.R.)
| | - B H Verweij
- From the Department of Neurology and Neurosurgery (R.B., R.K., B.H.V., G.J.E.R.)
| | - P van Ooij
- Department of Biomedical Engineering and Physics (P.v.O.), Academic Medical Center, Amsterdam, the Netherlands
| | - B Ten Haken
- Faculty of Science and Technology (R.B., B.t.H.), Department of Technical Medicine, University of Twente, Enschede, the Netherlands
| | - P R Luijten
- Brain Center Rudolf Magnus, Department of Radiology (P.R.L., J.J.M.Z.) Image Sciences Institute (P.R.L., J.J.M.Z.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - G J E Rinkel
- From the Department of Neurology and Neurosurgery (R.B., R.K., B.H.V., G.J.E.R.)
| | - J J M Zwanenburg
- Brain Center Rudolf Magnus, Department of Radiology (P.R.L., J.J.M.Z.) Image Sciences Institute (P.R.L., J.J.M.Z.), University Medical Center Utrecht, Utrecht, the Netherlands
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Experimental investigation of intravascular OCT for imaging of intracranial aneurysms. Int J Comput Assist Radiol Surg 2015; 11:231-41. [DOI: 10.1007/s11548-015-1275-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Accepted: 07/22/2015] [Indexed: 10/23/2022]
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Matsushige T, Akiyama Y, Okazaki T, Shinagawa K, Ichinose N, Awai K, Kurisu K. Vascular Wall Imaging of Unruptured Cerebral Aneurysms with a Hybrid of Opposite-Contrast MR Angiography. AJNR Am J Neuroradiol 2015; 36:1507-11. [PMID: 25929881 DOI: 10.3174/ajnr.a4318] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 01/09/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Inflammation and degeneration of the intracranial saccular aneurysm wall play a major role in aneurysm formation, development and subsequent rupture. The aim of this study was to characterize the walls of unruptured intracranial aneurysms by using a hybrid of opposite-contrast MRA at 3T. MATERIALS AND METHODS Fourteen consecutive patients with 17 unruptured intracranial aneurysms who initially underwent clipping surgery were prospectively evaluated. All aneurysms were scanned preoperatively by using a hybrid of opposite-contrast MRA in 3T high-resolution MR imaging. We classified intraoperative findings of atherosclerotic plaques in the aneurysms into 3 grades: grade A (major plaques), grade B (minor plaques), and grade C (no plaques). The contrast ratio of the high-intensity area was also measured relative to the background low-intensity area inside the carotid artery. RESULTS Findings from preoperative plaque imaging of the aneurysm corresponded to the intraoperative findings in 15 of 16 aneurysms (excluding 1 that was impossible to visualize in its entirety due to anatomic reasons). Overall sensitivity and specificity of the hybrid of opposite-contrast MRA were 88.9% and 100%, respectively. During the operation, 4 aneurysms were classified as grade A; 5, as grade B; and 7, as grade C. The means of the contrast ratio for grades A, B, and C were 0.72 ± 0.03, 0.34 ± 0.30, and -0.02 ± 0.09, respectively. CONCLUSIONS The hybrid of opposite-contrast MRA can detect visible atherosclerotic plaques in the unruptured aneurysm wall, and the contrast ratio in intracranial aneurysms correlated with their presence and extent. A study including a larger series is needed to validate the diagnostic potential of this imaging technique.
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Affiliation(s)
- T Matsushige
- From the Department of Neurosurgery (T.M., T.O., K.S., N.I., K.K.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan Department of Neurosurgery (T.M.), University Hospital Essen, Essen, Germany
| | - Y Akiyama
- Department of Diagnostic Radiology (Y.A., K.A.), Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - T Okazaki
- From the Department of Neurosurgery (T.M., T.O., K.S., N.I., K.K.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - K Shinagawa
- From the Department of Neurosurgery (T.M., T.O., K.S., N.I., K.K.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - N Ichinose
- From the Department of Neurosurgery (T.M., T.O., K.S., N.I., K.K.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - K Awai
- Department of Diagnostic Radiology (Y.A., K.A.), Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - K Kurisu
- From the Department of Neurosurgery (T.M., T.O., K.S., N.I., K.K.), Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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