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Huang LX, Wu XB, Liu YA, Guo X, Liu CC, Cai WQ, Wang SW, Luo B. High-resolution magnetic resonance vessel wall imaging in ischemic stroke and carotid artery atherosclerotic stenosis: A review. Heliyon 2024; 10:e27948. [PMID: 38571643 PMCID: PMC10987942 DOI: 10.1016/j.heliyon.2024.e27948] [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: 09/11/2023] [Revised: 03/02/2024] [Accepted: 03/08/2024] [Indexed: 04/05/2024] Open
Abstract
Ischemic stroke is a significant burden on human health worldwide. Carotid Atherosclerosis stenosis plays an important role in the comprehensive assessment and prevention of ischemic stroke patients. High-resolution vessel wall magnetic resonance imaging has emerged as a successful technique for assessing carotid atherosclerosis stenosis. This advanced imaging modality has shown promise in effectively displaying a wide range of characteristics associated with the condition, leading to a comprehensive evaluation. High-resolution vessel wall magnetic resonance imaging not only enables a comprehensive evaluation of the instability of carotid atherosclerosis stenosis plaques but also provides valuable information for understanding the pathogenesis and predicting the prognosis of ischemic stroke patients. The purpose of this article is to review the application of high-resolution magnetic resonance imaging in ischemic stroke and carotid atherosclerotic stenosis.
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Affiliation(s)
- Li-Xin Huang
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xiao-Bing Wu
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yi-Ao Liu
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xin Guo
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Chi-Chen Liu
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Wang-Qing Cai
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Sheng-Wen Wang
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Bin Luo
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
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Yui K, Kanawaku Y, Morita A, Hirakawa K, Cui F. Time-frequency analysis reveals an association between the specific nuclear magnetic resonance (NMR) signal properties of serum samples and arteriosclerotic lesion progression in a diabetes mouse model. PLoS One 2024; 19:e0299641. [PMID: 38457384 PMCID: PMC10923453 DOI: 10.1371/journal.pone.0299641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 02/10/2024] [Indexed: 03/10/2024] Open
Abstract
Diabetes causes arteriosclerosis, primarily due to persistent hyperglycemia, subsequently leading to various cardiovascular events. No method has been established for directly detecting and evaluating arteriosclerotic lesions from blood samples of diabetic patients, as the mechanism of arteriosclerotic lesion formation, which involves complex molecular biological processes, has not been elucidated. "NMR modal analysis" is a technology that enables visualization of specific nuclear magnetic resonance (NMR) signal properties of blood samples. We hypothesized that this technique could be used to identify changes in blood status associated with the progression of arteriosclerotic lesions in the context of diabetes. The study aimed to assess the possibility of early detection and evaluation of arteriosclerotic lesions by NMR modal analysis of serum samples from diabetes model mice. Diabetes model mice (BKS.Cg db/db) were bred in a clean room and fed a normal diet. Blood samples were collected and centrifuged. Carotid arteries were collected for histological examination by hematoxylin and eosin staining on weeks 10, 14, 18, 22, and 26. The serum was separated and subjected to NMR modal analysis and biochemical examination. Mice typically show hyperglycemia at an early stage (8 weeks old), and pathological findings of a previous study showed that more than half of mice had atheromatous plaques at 18 weeks old, and severe arteriosclerotic lesions were observed in almost all mice after 22 weeks. Partial least squares regression analysis was performed, which showed that the mice were clearly classified into two groups with positive and negative score values within 18 weeks of age. The findings of this study revealed that NMR modal properties of serum are associated with arteriosclerotic lesions. Thus, it may be worth exploring the possibility that the risk of cardiovascular events in diabetic patients could be assessed using serum samples.
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Affiliation(s)
- Kanako Yui
- Division of Neurosurgery, Graduate School of Medicine, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Yoshimasa Kanawaku
- Department of Legal Medicine, Graduate School of Medicine, Nippon Medical School, Inzai, Chiba, Japan
| | - Akio Morita
- Geriatric Healthcare Center, Department of Neurosurgery, Teraoka Memorial Hospital, Fukuyama, Hiroshima, Japan
| | - Keiko Hirakawa
- Research Laboratory of Magnetic Resonance, Collaborative Research Center, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Fanlai Cui
- Department of Legal Medicine, Graduate School of Medicine, Nippon Medical School, Inzai, Chiba, Japan
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Merino-Caviedes S, Martín-Fernández M, Pérez Rodríguez MT, Martín-Fernández MÁ, Filgueiras-Rama D, Simmross-Wattenberg F, Alberola-López C. Computing thickness of irregularly-shaped thin walls using a locally semi-implicit scheme with extrapolation to solve the Laplace equation: Application to the right ventricle. Comput Biol Med 2024; 169:107855. [PMID: 38113681 DOI: 10.1016/j.compbiomed.2023.107855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 11/30/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023]
Abstract
Cardiac Magnetic Resonance (CMR) Imaging is currently considered the gold standard imaging modality in cardiology. However, it is accompanied by a tradeoff between spatial resolution and acquisition time. Providing accurate measures of thin walls relative to the image resolution may prove challenging. One such anatomical structure is the cardiac right ventricle. Methods for measuring thickness of wall-like anatomical structures often rely on the Laplace equation to provide point-to-point correspondences between both boundaries. This work presents limex, a novel method to solve the Laplace equation using ghost nodes and providing extrapolated values, which is tested on three different datasets: a mathematical phantom, a set of biventricular segmentations from CMR images of ten pigs and the database used at the RV Segmentation Challenge held at MICCAI'12. Thickness measurements using the proposed methodology are more accurate than state-of-the-art methods, especially with the coarsest image resolutions, yielding mean L1 norms of the error between 43.28% and 86.52% lower than the second-best methods on the different test datasets. It is also computationally affordable. Limex has outperformed other state-of-the-art methods in classifying RV myocardial segments by their thickness.
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Affiliation(s)
- Susana Merino-Caviedes
- Laboratorio de Procesado de Imagen, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
| | - Marcos Martín-Fernández
- Laboratorio de Procesado de Imagen, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
| | | | | | - David Filgueiras-Rama
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Novel Arrhythmogenic Mechanisms Program, Madrid, Spain.
| | | | - Carlos Alberola-López
- Laboratorio de Procesado de Imagen, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
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Peng F, Xu B, Xia J, Chen X, Liu A. Association Between Serum Homocysteine Concentration, Aneurysm Wall Inflammation, and Aneurysm Symptoms in Intracranial Fusiform Aneurysm. Acad Radiol 2024; 31:168-179. [PMID: 37211477 DOI: 10.1016/j.acra.2023.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/21/2023] [Accepted: 04/21/2023] [Indexed: 05/23/2023]
Abstract
RATIONALE AND OBJECTIVES The pathophysiology of fusiform intracranial aneurysm (FIA) involves inflammatory processes, and homocysteine plays a role in the inflammatory processes in the vessel wall. Moreover, aneurysm wall enhancement (AWE) has emerged as a new imaging biomarker of aneurysm wall inflammatory pathologies. To investigate the pathophysiological mechanisms of aneurysm wall inflammation and FIA instability, we aimed to determine the associations between the homocysteine concentration, AWE, and FIAs' related symptoms. MATERIALS AND METHODS We retrospectively reviewed the data of 53 patients with FIA who underwent both high-resolution magnetic resonance imaging and serum homocysteine concentration measurement. FIAs' related symptoms were defined as ischemic stroke or transient ischemic attack, cranial nerve compression, brainstem compression, and acute headache. The contrast ratio of the signal intensity of the aneurysm wall to the pituitary stalk (CRstalk) was used to indicate AWE. Multivariate logistic regression and receiver operating characteristic (ROC) curve analyses were performed to determine how well the independent factors could predict FIAs' related symptoms. Predictors of CRstalk were also investigated. Spearman's correlation coefficient was used to identify the potential associations between these predictors. RESULTS Fifty-three patients were included, of whom 23 (43.4%) presented with FIAs' related symptoms. After adjusting for baseline differences in the multivariate logistic regression analysis, the CRstalk (odds ratio [OR]=3.207, P = .023) and homocysteine concentration (OR=1.344, P = .015) independently predicted FIAs' related symptoms. The CRstalk was able to differentiate between FIAs with and without symptoms (area under the ROC curve [AUC]=0.805), with an optimal cutoff value of 0.76. The homocysteine concentration could also differentiate between FIAs with and without symptoms (AUC=0.788), with an optimal cutoff value of 13.13. The combination of the CRstalk and homocysteine concentration had a better ability to identify symptomatic FIAs (AUC=0.857). Male sex (OR=0.536, P = .018), FIAs' related symptoms (OR=1.292, P = .038), and homocysteine concentration (OR=1.254, P = .045) independently predicted the CRstalk. CONCLUSION A higher serum homocysteine concentration and greater AWE indicate FIA instability. Serum homocysteine concentration may be a useful biomarker of FIA instability; however, this needs to be verified in future studies.
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Affiliation(s)
- Fei Peng
- Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China (F.P., B.X., J.X., X.C., A.L.)
| | - Boya Xu
- Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China (F.P., B.X., J.X., X.C., A.L.)
| | - Jiaxiang Xia
- Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China (F.P., B.X., J.X., X.C., A.L.)
| | - Xuge Chen
- Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China (F.P., B.X., J.X., X.C., A.L.)
| | - Aihua Liu
- Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China (F.P., B.X., J.X., X.C., A.L.).
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Eisenmenger LB, Spahic A, McNally JS, Johnson KM, Song JW, Junn JC. MR Imaging for Intracranial Vessel Wall Imaging: Pearls and Pitfalls. Magn Reson Imaging Clin N Am 2023; 31:461-474. [PMID: 37414472 DOI: 10.1016/j.mric.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Conventional vascular imaging methods have primarily focused on evaluating the vascular lumen. However, these techniques are not intended to evaluate vessel wall abnormalities where many cerebrovascular pathologies reside. With increased interest for the visualization and study of the vessel wall, high-resolution vessel wall imaging (VWI) has gained traction.Over the past two decades, there has been a rapid increase in number of VWI publications with improvements in imaging techniques and expansion on clinical applications. With increasing utility and interest in VWI, application of proper protocols and understanding imaging characteristics of vasculopathies are important for the interpreting radiologists to understand.
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Affiliation(s)
- Laura B Eisenmenger
- University of Wisconsin - Madison, 1111 Highland Avenue, Madison, WI 53705, USA.
| | - Alma Spahic
- University of Wisconsin - Madison, 1111 Highland Avenue, Madison, WI 53705, USA
| | | | - Kevin M Johnson
- University of Wisconsin - Madison, 1111 Highland Avenue, Madison, WI 53705, USA
| | - Jae W Song
- University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Jacqueline C Junn
- Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place, Box 1234, New York City, NY 10029, USA
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Hachem E, Meliga P, Goetz A, Rico PJ, Viquerat J, Larcher A, Valette R, Sanches AF, Lannelongue V, Ghraieb H, Nemer R, Ozpeynirci Y, Liebig T. Reinforcement learning for patient-specific optimal stenting of intracranial aneurysms. Sci Rep 2023; 13:7147. [PMID: 37130900 PMCID: PMC10154322 DOI: 10.1038/s41598-023-34007-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/22/2023] [Indexed: 05/04/2023] Open
Abstract
Developing new capabilities to predict the risk of intracranial aneurysm rupture and to improve treatment outcomes in the follow-up of endovascular repair is of tremendous medical and societal interest, both to support decision-making and assessment of treatment options by medical doctors, and to improve the life quality and expectancy of patients. This study aims at identifying and characterizing novel flow-deviator stent devices through a high-fidelity computational framework that combines state-of-the-art numerical methods to accurately describe the mechanical exchanges between the blood flow, the aneurysm, and the flow-deviator and deep reinforcement learning algorithms to identify a new stent concepts enabling patient-specific treatment via accurate adjustment of the functional parameters in the implanted state.
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Affiliation(s)
- E Hachem
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France.
| | - P Meliga
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - A Goetz
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - P Jeken Rico
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - J Viquerat
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - A Larcher
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - R Valette
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - A F Sanches
- Department of Neuroradiology, University Hospital Munich (LMU), Munich, Germany
| | - V Lannelongue
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - H Ghraieb
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - R Nemer
- MINES Paris, PSL Research University, Centre de mise en forme des matériaux (CEMEF), CNRS UMR 7635, 06904, Sophia Antipolis Cedex, France
| | - Y Ozpeynirci
- Department of Neuroradiology, University Hospital Munich (LMU), Munich, Germany
| | - T Liebig
- Department of Neuroradiology, University Hospital Munich (LMU), Munich, Germany
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Hedjoudje A, Darcourt J, Bonneville F, Edjlali M. The Use of Intracranial Vessel Wall Imaging in Clinical Practice. Radiol Clin North Am 2023; 61:521-533. [PMID: 36931767 DOI: 10.1016/j.rcl.2023.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Three-dimensional vessel wall MR imaging has gained popularity in the diagnosis and management of patients with cerebrovascular disease in clinical practice. Vessel wall MR imaging is an imaging technique that delivers a fundamentally different viewpoint by emphasizing on the pathology of the vessel wall as opposed to traditional descriptions that focus on the vessel lumen. It shows a crucial power in detecting vessel wall changes in patients with diseases including, but not limited to, central nervous system vasculitis, moyamoya disease, aneurysms, dissections, and intracranial atherosclerotic disease.
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Affiliation(s)
- Abderrahmane Hedjoudje
- Department of Diagnostic and Interventional Neuroradiology, Sion Hospital, CHVR, Sion, Switzerland; Laboratoire D'imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France.
| | - Jean Darcourt
- Department of Diagnostic and Therapeutic Neuroradiology, Hôpital Purpan, Toulouse, France
| | - Fabrice Bonneville
- Department of Diagnostic and Therapeutic Neuroradiology, Hôpital Purpan, Toulouse, France
| | - Myriam Edjlali
- Laboratoire D'imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France; Department of Radiology, APHP, Hôpitaux Raymond-Poincaré & Ambroise Paré, DMU Smart Imaging, GH Université Paris-Saclay, Paris, France
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Kim M, Jung SC, Park SY, Park BW, Choi KM. Impact of lesion size on reproducibility of quantitative measurement and radiomic features in vessel wall MRI. Eur Radiol 2023; 33:2195-2206. [PMID: 36394600 DOI: 10.1007/s00330-022-09207-2] [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: 04/20/2022] [Revised: 09/23/2022] [Accepted: 09/30/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To investigate reproducibility of quantitative measurement and radiomic features in vessel wall MRI (VW-MRI), evaluate the impact of lesion size, and identify reproducible radiomic features. METHODS This retrospective, single-center study included 251 patients (mean age, 53 ± 12 years; 128 women) with atherosclerosis, dissection, aneurysm, moyamoya disease, and vasculitis of the intracranial arteries who underwent three-dimensional turbo spin echo T1-weighted image. Lesion thickness, volume, and signal intensity were measured, and 157 radiomic features were extracted. Intra-observer reproducibility of quantitative measurement and radiomic features was evaluated by calculating the concordance correlation coefficient (CCC) and proportion of radiomic features above the predefined CCC. The reproducibility of quantitative measurement and radiomic features according to lesion size (binary comparison and stratification into 5 and 18 groups) was evaluated. RESULTS There was an overall serial increase in CCC for thickness measurement when stratified by lesion thickness and volume. There was an overall serial increase in the median CCC for radiomic features and proportion of radiomic features with CCC > 0.85 when stratified by lesion thickness and volume. Reproducibility of radiomic features was higher in the lesions with thickness ≥ 2.5 mm (median CCC, 0.97 vs. 0.89, p < .001; proportion with CCC > 0.85, 88.5% vs. 59.6%, p < .001) and volume ≥ 50 mm3 (median CCC, 0.97 vs. 0.88, p < .001; proportion with CCC > 0.85, 90.4% vs. 59.0%, p < .001). Intensity-based statistical features remained most reproducible in the thinnest and smallest lesions. CONCLUSIONS Intra-observer reproducibility of thickness measurement and radiomic features was affected by lesion size in VW-MRI although intensity-based statistical features remained most reproducible. KEY POINTS • There was an overall serial increase in CCC for thickness measurement when stratified by lesion size. • There was an overall serial increase in the median CCC for radiomic features and proportion of radiomic features with CCC > 0.85 when stratified by lesion size. • Intensity-based statistical features remained most reproducible in the thinnest and smallest lesions.
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Affiliation(s)
- Minjae Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea.,Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Chai Jung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea.
| | - Seo Young Park
- Department of Statistics and Data Science, Korea National Open University, 86 Daehak-ro, Seoul, 03087, Republic of Korea
| | - Bum Woo Park
- Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Keum Mi Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea
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He Y, Northrup H, Le H, Cheung AK, Berceli SA, Shiu YT. Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases. Front Bioeng Biotechnol 2022; 10:855791. [PMID: 35573253 PMCID: PMC9091352 DOI: 10.3389/fbioe.2022.855791] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 04/08/2022] [Indexed: 01/17/2023] Open
Abstract
Hemodynamic factors, induced by pulsatile blood flow, play a crucial role in vascular health and diseases, such as the initiation and progression of atherosclerosis. Computational fluid dynamics, finite element analysis, and fluid-structure interaction simulations have been widely used to quantify detailed hemodynamic forces based on vascular images commonly obtained from computed tomography angiography, magnetic resonance imaging, ultrasound, and optical coherence tomography. In this review, we focus on methods for obtaining accurate hemodynamic factors that regulate the structure and function of vascular endothelial and smooth muscle cells. We describe the multiple steps and recent advances in a typical patient-specific simulation pipeline, including medical imaging, image processing, spatial discretization to generate computational mesh, setting up boundary conditions and solver parameters, visualization and extraction of hemodynamic factors, and statistical analysis. These steps have not been standardized and thus have unavoidable uncertainties that should be thoroughly evaluated. We also discuss the recent development of combining patient-specific models with machine-learning methods to obtain hemodynamic factors faster and cheaper than conventional methods. These critical advances widen the use of biomechanical simulation tools in the research and potential personalized care of vascular diseases.
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Affiliation(s)
- Yong He
- Division of Vascular Surgery and Endovascular Therapy, University of Florida, Gainesville, FL, United States
| | - Hannah Northrup
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Ha Le
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Alfred K. Cheung
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
- Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, United States
| | - Scott A. Berceli
- Division of Vascular Surgery and Endovascular Therapy, University of Florida, Gainesville, FL, United States
- Vascular Surgery Section, Malcom Randall Veterans Affairs Medical Center, Gainesville, FL, United States
| | - Yan Tin Shiu
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
- Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, United States
- *Correspondence: Yan Tin Shiu,
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Mazzacane F, Mazzoleni V, Scola E, Mancini S, Lombardo I, Busto G, Rognone E, Pichiecchio A, Padovani A, Morotti A, Fainardi E. Vessel Wall Magnetic Resonance Imaging in Cerebrovascular Diseases. Diagnostics (Basel) 2022; 12:diagnostics12020258. [PMID: 35204348 PMCID: PMC8871392 DOI: 10.3390/diagnostics12020258] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/08/2022] [Accepted: 01/14/2022] [Indexed: 01/27/2023] Open
Abstract
Cerebrovascular diseases are a leading cause of disability and death worldwide. The definition of stroke etiology is mandatory to predict outcome and guide therapeutic decisions. The diagnosis of pathological processes involving intracranial arteries is especially challenging, and the visualization of intracranial arteries’ vessel walls is not possible with routine imaging techniques. Vessel wall magnetic resonance imaging (VW-MRI) uses high-resolution, multiparametric MRI sequences to directly visualize intracranial arteries walls and their pathological alterations, allowing a better characterization of their pathology. VW-MRI demonstrated a wide range of clinical applications in acute cerebrovascular disease. Above all, it can be of great utility in the differential diagnosis of atherosclerotic and non-atherosclerotic intracranial vasculopathies. Additionally, it can be useful in the risk stratification of intracranial atherosclerotic lesions and to assess the risk of rupture of intracranial aneurysms. Recent advances in MRI technology made it more available, but larger studies are still needed to maximize its use in daily clinical practice.
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Affiliation(s)
- Federico Mazzacane
- Department of Emergency Neurology and Stroke Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy;
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy;
| | - Valentina Mazzoleni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (V.M.); (A.P.)
- Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, 25123 Brescia, Italy;
| | - Elisa Scola
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, 50134 Florence, Italy; (E.S.); (S.M.); (I.L.); (G.B.)
| | - Sara Mancini
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, 50134 Florence, Italy; (E.S.); (S.M.); (I.L.); (G.B.)
| | - Ivano Lombardo
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, 50134 Florence, Italy; (E.S.); (S.M.); (I.L.); (G.B.)
| | - Giorgio Busto
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, 50134 Florence, Italy; (E.S.); (S.M.); (I.L.); (G.B.)
| | - Elisa Rognone
- Department of Neuroradiology, IRCCS Mondino Foundation, 27100 Pavia, Italy;
| | - Anna Pichiecchio
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy;
- Department of Neuroradiology, IRCCS Mondino Foundation, 27100 Pavia, Italy;
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; (V.M.); (A.P.)
- Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, 25123 Brescia, Italy;
| | - Andrea Morotti
- Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, 25123 Brescia, Italy;
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50121 Florence, Italy
- Correspondence:
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Edelman RR, Leloudas N, Pang J, Koktzoglou I. Dark blood cardiovascular magnetic resonance of the heart, great vessels, and lungs using electrocardiographic-gated three-dimensional unbalanced steady-state free precession. J Cardiovasc Magn Reson 2021; 23:127. [PMID: 34724939 PMCID: PMC8559409 DOI: 10.1186/s12968-021-00808-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/30/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Recently, we reported a novel neuroimaging technique, unbalanced T1 Relaxation-Enhanced Steady-State (uT1RESS), which uses a tailored 3D unbalanced steady-state free precession (3D uSSFP) acquisition to suppress the blood pool signal while minimizing bulk motion sensitivity. In the present work, we hypothesized that 3D uSSFP might also be useful for dark blood imaging of the chest. To test the feasibility of this approach, we performed a pilot study in healthy subjects and patients undergoing cardiovascular magnetic resonance (CMR). MAIN BODY The study was approved by the hospital institutional review board. Thirty-one adult subjects were imaged at 1.5 T, including 5 healthy adult subjects and 26 patients (44 to 86 years, 10 female) undergoing a clinically indicated CMR. Breath-holding was used in 29 subjects and navigator gating in 2 subjects. For breath-hold acquisitions, the 3D uSSFP pulse sequence used a high sampling bandwidth, asymmetric readout, and single-shot along the phase-encoding direction, while 3 shots were acquired for navigator-gated scans. To minimize signal dephasing from bulk motion, electrocardiographic (ECG) gating was used to synchronize the data acquisition to the diastolic phase of the cardiac cycle. To further reduce motion sensitivity, the moment of the dephasing gradient was set to one-fifth of the moment of the readout gradient. Image quality using 3D uSSFP was good-to-excellent in all subjects. The blood pool signal in the thoracic aorta was uniformly suppressed with sharp delineation of the aortic wall including two cases of ascending aortic aneurysm and two cases of aortic dissection. Compared with variable flip angle 3D turbo spin-echo, 3D uSSFP showed improved aortic wall sharpness. It was also more efficient, permitting the acquisition of 24 slices in each breath-hold versus 16 slices with 3D turbo spin-echo and a single slice with dual inversion 2D turbo spin-echo. In addition, lung and mediastinal lesions appeared highly conspicuous compared with the low blood pool signals within the heart and blood vessels. In two subjects, navigator-gated 3D uSSFP provided excellent delineation of cardiac morphology in double oblique multiplanar reformations. CONCLUSION In this pilot study, we have demonstrated the feasibility of using ECG-gated 3D uSSFP for dark blood imaging of the heart, great vessels, and lungs. Further study will be required to fully optimize the technique and to assess clinical utility.
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Affiliation(s)
- Robert R. Edelman
- Department of Radiology, Northshore University HealthSystem, Evanston, IL USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
- Walgreen Building, G534, 2650 Ridge Avenue, Evanston, IL 60201 USA
| | - Nondas Leloudas
- Department of Radiology, Northshore University HealthSystem, Evanston, IL USA
| | - Jianing Pang
- Siemens Medical Solutions USA Inc., Chicago, IL USA
| | - Ioannis Koktzoglou
- Department of Radiology, Northshore University HealthSystem, Evanston, IL USA
- Radiology, Pritzker School of Medicine, University of Chicago, Chicago, IL USA
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12
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Mattay RR, Saucedo JF, Lehman VT, Xiao J, Obusez EC, Raymond SB, Fan Z, Song JW. Current Clinical Applications of Intracranial Vessel Wall MR Imaging. Semin Ultrasound CT MR 2021; 42:463-473. [PMID: 34537115 DOI: 10.1053/j.sult.2021.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Intracranial vessel wall MR imaging (VWI) is increasingly being used as a valuable adjunct to conventional angiographic imaging techniques. This article will provide an updated review on intracranial VWI protocols and image interpretation. We review VWI technical considerations, describe common VWI imaging features of different intracranial vasculopathies and show illustrative cases. We review the role of VWI for differentiating among steno-occlusive vasculopathies, such as intracranial atherosclerotic plaque, dissections and Moyamoya disease. We also highlight how VWI may be used for the diagnostic work-up and surveillance of patients with vasculitis of the central nervous system and cerebral aneurysms.
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Affiliation(s)
- Raghav R Mattay
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Jose F Saucedo
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Jiayu Xiao
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Scott B Raymond
- Department of Radiology, University of Vermont Medical Center, Burlington, VT
| | - Zhaoyang Fan
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Jae W Song
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA.
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13
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Settecase F, Rayz VL. Advanced vascular imaging techniques. HANDBOOK OF CLINICAL NEUROLOGY 2021; 176:81-105. [DOI: 10.1016/b978-0-444-64034-5.00016-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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14
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van Hespen KM, Mackaaij C, Waas ISE, de Bree MP, Zwanenburg JJM, Kuijf HJ, Daemen MJAP, Hendrikse J, Hermkens DMA. Arterial Remodeling of the Intracranial Arteries in Patients With Hypertension and Controls: A Postmortem Study. Hypertension 2020; 77:135-146. [PMID: 33222546 DOI: 10.1161/hypertensionaha.120.16029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The intracranial arteries play a major role in cerebrovascular disease, but arterial remodeling due to hypertension has not been well described in humans. We aimed to quantify this remodeling for: the basilar artery, the vertebral, internal carotid, middle/anterior (inferior)/posterior cerebral, posterior communicating, and superior cerebellar arteries of the circle of Willis. Ex vivo circle of Willis specimens, selected from individuals with (n=24) and without (n=25) a history of hypertension, were imaged at 7T magnetic resonance imaging using a 3-dimensional gradient-echo sequence. Subsequently, histological analysis was performed. We validated the vessel wall thickness and area measurements from magnetic resonance imaging against histology. Next, we investigated potential differences in vessel wall thickness and area between both groups using both techniques. Finally, using histological analysis, we investigated potential differences in arterial wall stiffness and atherosclerotic plaque severity and load. All analyses were unadjusted. Magnetic resonance imaging and histology showed comparable vessel wall thickness (mean difference: 0.04 mm (limits of agreement:-0.12 to 0.19 mm) and area (0.43 mm2 [-0.97 to 1.8 mm2]) measurements. We observed no statistically significant differences in vessel wall thickness and area between both groups using either technique. Histological analysis showed early and advanced atherosclerotic plaques in almost all arteries for both groups. The arterial wall stiffness was significantly higher for the internal carotid artery in the hypertensive group. Concluding, we did not observe vessel wall thickening in the circle of Willis arteries in individuals with a history of hypertension using either technique. Using histological analysis, we observed a difference in vessel wall composition for the internal carotid artery.
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Affiliation(s)
- Kees M van Hespen
- From the Center for Image Sciences (K.M.v.H.), University Medical Center Utrecht, the Netherlands
| | - Claire Mackaaij
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Ingeborg S E Waas
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Marloes P de Bree
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Jaco J M Zwanenburg
- Department of Radiology (J.J.M.Z., J.H.), University Medical Center Utrecht, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute (H.J.K.), University Medical Center Utrecht, the Netherlands
| | - Mat J A P Daemen
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Jeroen Hendrikse
- Department of Radiology (J.J.M.Z., J.H.), University Medical Center Utrecht, the Netherlands
| | - Dorien M A Hermkens
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
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15
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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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16
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Edjlali M, Qiao Y, Boulouis G, Menjot N, Saba L, Wasserman BA, Romero JM. Vessel wall MR imaging for the detection of intracranial inflammatory vasculopathies. Cardiovasc Diagn Ther 2020; 10:1108-1119. [PMID: 32968663 DOI: 10.21037/cdt-20-324] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Intracranial vasculopathies are routinely investigated by lumen-based modalities such as magnetic resonance angiography (MRA), computed tomography angiography (CTA), and digital subtraction angiography (DSA). These techniques are useful to analyze the vessel lumen, allowing to detect vessel stenosis or occlusion. However, the primum movins of the disease, i.e., an abnormal thickening of the vessel wall, remains within the arterial wall. The vasculopathy can moreover be present without always narrowing the lumen or modifying its regularity. Hence, there is a need to detect directly and analyze vessel wall abnormalities. Development of 3D high-resolution black blood sequences for intracranial vessel wall MR imaging (VW-MRI) enabled routine clinical applications not only vasculitis, but also of intracranial atherosclerotic disease (ICAD), intracranial dissections, reversible intracranial dissections, reversible cerebral vasoconstriction syndrome (RCVS), Moyamoya disease, and intracranial aneurysms. This high-resolution intracranial VW- MRI approach is increasingly used on a clinical basis at many centers to solve diagnostic problems, especially in patients with ischemic stroke or intracranial hemorrhage. An expert consensus Guideline from the American Society of Neuroradiology provides recommendations for clinical implementation of intracranial vessel wall MRI. There are several technical aspects needed to be considered when implementing VW-MRI in intracranial vessels, including flow suppression, both in blood and cerebrospinal fluid (CSF), spatial resolution and signal-to-noise ratio (SNR). In this article, we review the technical aspects of VW-MRI, and recommend applications for vascular diseases including non-occlusive intracranial vasculopathies, Moyamoya disease, and identifying culprit plaques. We also give a focus on the utility of VW-MRI for determining stroke etiology in adults and in children and young adults.
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Affiliation(s)
- Myriam Edjlali
- Department of Neuroradiology, Université Paris-Descartes-Sorbonne-Paris-Cité, IMABRAIN-INSERM-UMR1266, DHU-Neurovasc, Centre Hospitalier Sainte-Anne, Paris, France
| | - Ye Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Gregoire Boulouis
- Department of Neuroradiology, Université Paris-Descartes-Sorbonne-Paris-Cité, IMABRAIN-INSERM-UMR1266, DHU-Neurovasc, Centre Hospitalier Sainte-Anne, Paris, France
| | - Nicolas Menjot
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France.,Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France.,Département d'imagerie médicale; Centre Hospitalier Universitaire Caremeau, Nîmes, France.,Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
| | - Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | - Bruce Alan Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Javier M Romero
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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17
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Song JW, Wasserman BA. Vessel wall MR imaging of intracranial atherosclerosis. Cardiovasc Diagn Ther 2020; 10:982-993. [PMID: 32968655 DOI: 10.21037/cdt-20-470] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Intracranial atherosclerotic disease (ICAD) is one of the most common causes of ischemic stroke worldwide. Along with high recurrent stroke risk from ICAD, its association with cognitive decline and dementia leads to a substantial decrease in quality of life and a high economic burden. Atherosclerotic lesions can range from slight wall thickening with plaques that are angiographically occult to severely stenotic lesions. Recent advances in intracranial high resolution vessel wall MR (VW-MR) imaging have enabled imaging beyond the lumen to characterize the vessel wall and its pathology. This technique has opened new avenues of research for identifying vulnerable plaque in the setting of acute ischemic stroke as well as assessing ICAD burden and its associations with its sequela, such as dementia. We now understand more about the intracranial arterial wall, its ability to remodel with disease and how we can use VW-MR to identify angiographically occult lesions and assess medical treatment responses, for example, to statin therapy. Our growing understanding of ICAD with intracranial VW-MR imaging can profoundly impact diagnosis, therapy, and prognosis for ischemic stroke with the possibility of lesion-based risk models to tailor and personalize treatment. In this review, we discuss the advantages of intracranial VW-MR imaging for ICAD, the potential of bioimaging markers to identify vulnerable intracranial plaque, and future directions of artificial intelligence and its utility for lesion scoring and assessment.
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Affiliation(s)
- Jae W Song
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
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18
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MacDonald CJ, Hellmuth R, Priba L, Murphy E, Gandy S, Matthew S, Ross R, Houston JG. Experimental Assessment of Two Non-Contrast MRI Sequences Used for Computational Fluid Dynamics: Investigation of Consistency Between Techniques. Cardiovasc Eng Technol 2020; 11:416-430. [PMID: 32613600 PMCID: PMC7385008 DOI: 10.1007/s13239-020-00473-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 06/20/2020] [Indexed: 11/05/2022]
Abstract
Purpose Recent studies have noted a degree of variance between the geometries segmented by different groups from 3D medical images that are used in computational fluid dynamics (CFD) simulations of patient-specific cardiovascular systems. The aim of this study was to determine if the applied sequence of magnetic resonance imaging (MRI) also introduced observable variance in CFD results. Methods Using a series of phantoms MR images of vessels of known diameter were assessed for the time-of-flight and multi-echo data image combination sequences. Following this, patient images of arterio-venous fistulas were acquired using the same sequences. Comparisons of geometry were made using the phantom and patient images, and of wall shear stress quantities using the CFD results from the patient images. Results Phantom images showed deviations in diameter between 0 and 15% between the sequences, depending on vessel diameter. Patient images showed different geometrical features such as narrowings that were not present on both sequences. Distributions of wall shear stress (WSS) quantities differed from simulations between the geometries obtained from the sequences. Conclusion In conclusion, choosing different MRI sequences resulted in slightly different geometries of the same anatomy, which led to compounded errors in WSS quantities from CFD simulation. Electronic supplementary material The online version of this article (10.1007/s13239-020-00473-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- C J MacDonald
- Imaging and Technology, University of Dundee, Dundee, UK
| | - R Hellmuth
- Vascular Flow Technologies LTD, Dundee, UK
| | - L Priba
- Medical Physics, NHS Tayside, Dundee, UK
| | - E Murphy
- Imaging and Technology, University of Dundee, Dundee, UK
| | - S Gandy
- Medical Physics, NHS Tayside, Dundee, UK
| | - S Matthew
- Imaging and Technology, University of Dundee, Dundee, UK
| | - R Ross
- Vascular Laboratory, NHS Tayside, Dundee, UK
| | - J G Houston
- Imaging and Technology, University of Dundee, Dundee, UK. .,Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK.
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19
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Increased diagnostic accuracy of giant cell arteritis using three-dimensional fat-saturated contrast-enhanced vessel-wall magnetic resonance imaging at 3 T. Eur Radiol 2019; 30:1866-1875. [PMID: 31811430 DOI: 10.1007/s00330-019-06536-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 10/08/2019] [Accepted: 10/22/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVES To compare the diagnostic accuracy of 3D versus 2D contrast-enhanced vessel-wall (CE-VW) MRI of extracranial and intracranial arteries in the diagnosis of GCA. METHODS This prospective two-center study was approved by a national research ethics board and enrolled participants from December 2014 to October 2017. A protocol including both a 2D and a 3D CE-VW MRI at 3 T was performed in all patients. Two neuroradiologists, blinded to clinical data, individually analyzed separately and in random order 2D and 3D sequences in the axial plane only or with reformatting. The primary judgment criterion was the presence of GCA-related inflammatory changes of extracranial arteries. Secondary judgment criteria included inflammatory changes of intracranial arteries and the presence of artifacts. A McNemar's test was used to compare 2D to 3D CE-VW MRIs. RESULTS Seventy-nine participants were included in the study (42 men and 37 women, mean age 75 (± 9.5 years)). Fifty-one had a final diagnosis of GCA. Reformatted 3D CE-VW was significantly more sensitive than axial-only 3D CE-VW or 2D CE-VW when showing inflammatory change of extracranial arteries: 41/51(80%) versus 37/51 (73%) (p = 0.046) and 35/50 (70%) (p = 0.03). Reformatted 3D CE-VW was significantly more specific than 2D CE-VW: 27/27 (100%) versus 22/26 (85%) (p = 0.04). 3D CE-VW showed higher sensitivity than 2D CE-VW when detecting inflammatory changes of intracranial arteries: 10/51(20%) versus 4/50(8%), p = 0.01. Interobserver agreement was excellent for both 2D and 3D CE-VW MRI: κ = 0.84 and 0.82 respectively. CONCLUSIONS 3D CE-VW MRI supported more accurate diagnoses of GCA than 2D CE-VW. KEY POINTS • 3D contrast-enhanced vessel-wall magnetic resonance imaging is a high accuracy, non-invasive diagnostic tool used to diagnose giant cell arteritis. • 3D contrast-enhanced vessel-wall imaging is feasible for clinicians to complete within a relatively short time, allowing immediate assessment of extra and intracranial arteries. • 3D contrast-enhanced vessel-wall magnetic resonance imaging might be considered a diagnostic tool when intracranial manifestation of GCA is suspected.
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20
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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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21
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Cogswell PM, Lants SK, Davis LT, Donahue MJ. Vessel wall and lumen characteristics with age in healthy participants using 3T intracranial vessel wall magnetic resonance imaging. J Magn Reson Imaging 2019; 50:1452-1460. [PMID: 30994958 PMCID: PMC6800748 DOI: 10.1002/jmri.26750] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 04/02/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Intracranial vessel wall imaging (VWI) at a clinical field strength of 3T has become more widely available. However, how vessel measurements change with age and sex, over an age range spanning a typical lifespan, are needed. PURPOSE/HYPOTHESIS To assess for identifiable changes in arterial wall thickness, outer vessel wall diameter, and lumen diameter with age cross-sectionally in healthy controls without cerebrovascular disease risk factors at the spatial resolution afforded by currently recommended 3T VWI approaches. STUDY TYPE Prospective. POPULATION/SUBJECTS Healthy subjects (n = 82; age = 8-79 years). FIELD STRENGTH/SEQUENCE 3T intracranial VWI, angiography, and T1 -weighted anatomical imaging. ASSESSMENT Two readers measured lumen and outer wall diameters of the supraclinoid internal carotid artery (ICA) and distal basilar artery. Wall thickness and intraclass correlation coefficients (ICCs) were calculated. STATISTICAL TESTS Separate linear regressions were performed to understand the relationship between wall measurements (lumen diameter, outer vessel wall diameter, and wall thickness) and age, gender, side (left or right); significance: two-sided P < 0.05. RESULTS Readers showed excellent agreement for lumen and outer wall diameters (ICC 0.83-094). Linear regression of supraclinoid ICA wall measurements showed a statistically significant increase in wall thickness (P = 0.00051) and outer vessel wall diameter (P = 0.030) with age. ICA lumen and outer vessel wall diameters were statistically greater in males vs. females (lumen diameter 3.69 ± 0.41 vs. 3.54 ± 0.35 mm, P = 0.026; outer wall diameter 5.78 ± 0.52 vs. 5.56 ± 0.44 mm, P = 0.0089) with a trend toward increase in wall thickness (1.05 ± 0.12 vs. 1.01 ± 0.10 mm, P = 0.055). No significant difference was found in basilar artery wall thickness (P = 0.45, P = 0.72), lumen diameter (P = 0.15, P = 0.42), or outer vessel wall diameter (P = 0.34, P = 0.41) with age or gender, respectively. DATA CONCLUSION Intracranial vessel wall measurements were shown to be consistent between readers. At the available spatial resolution of 3T intracranial VWI sequences, supraclinoid ICA vessel wall thickness and outer vessel wall diameter appear to mildly increase with age. There was no detectable change in basilar artery vessel wall characteristics with age. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;50:1452-1460.
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Affiliation(s)
| | - Sarah K. Lants
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L. Taylor Davis
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manus J. Donahue
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
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22
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van Hespen KM, Zwanenburg JJ, Harteveld AA, Luijten PR, Hendrikse J, Kuijf HJ. Intracranial Vessel Wall Magnetic Resonance Imaging Does Not Allow for Accurate and Precise Wall Thickness Measurements. Stroke 2019; 50:e283-e284. [DOI: 10.1161/strokeaha.119.026497] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Kees M. van Hespen
- From the Center for Image Sciences (K.M.v.H.), University Medical Center Utrecht, the Netherlands
| | - Jaco J.M. Zwanenburg
- Department of Radiology (J.J.M.Z., A.A.H., P.R.L., J.H.), University Medical Center Utrecht, the Netherlands
| | - Anita A. Harteveld
- Department of Radiology (J.J.M.Z., A.A.H., P.R.L., J.H.), University Medical Center Utrecht, the Netherlands
| | - Peter R. Luijten
- Department of Radiology (J.J.M.Z., A.A.H., P.R.L., J.H.), University Medical Center Utrecht, the Netherlands
| | - Jeroen Hendrikse
- Department of Radiology (J.J.M.Z., A.A.H., P.R.L., J.H.), University Medical Center Utrecht, the Netherlands
| | - Hugo J. Kuijf
- Image Sciences Institute (H.J.K.), University Medical Center Utrecht, the Netherlands
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Milotta G, Ginami G, Cruz G, Neji R, Prieto C, Botnar RM. Simultaneous 3D whole-heart bright-blood and black blood imaging for cardiovascular anatomy and wall assessment with interleaved T 2 prep-IR. Magn Reson Med 2019; 82:312-325. [PMID: 30896049 DOI: 10.1002/mrm.27734] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 02/19/2019] [Accepted: 02/20/2019] [Indexed: 12/28/2022]
Abstract
PURPOSE To develop a motion-corrected 3D flow-insensitive imaging approach interleaved T2 prepared-inversion recovery (iT2 prep-IR) for simultaneous lumen and wall visualization of the great thoracic vessels and cardiac structures. METHODS A 3D flow-insensitive approach for simultaneous cardiovascular lumen and wall visualization (iT2 prep) has been previously proposed. This approach requires subject-dependent weighted subtraction to completely null the arterial blood signal in the black-blood volume. Here, we propose an (T2 prep-IR) approach to improve wall visualization and remove need for weighted subtraction. The proposed sequence is based on the acquisition and direct subtraction of 2 interleaved 3D whole-heart data sets acquired with and without T2 prep-IR preparation. Image navigators are acquired before data acquisition to enable 2D translational and 3D non-rigid motion correction allowing 100% respiratory scan efficiency. The proposed approach was evaluated in 10 healthy subjects and compared with the conventional 2D double inversion recovery (DIR) sequence and the 3D iT2 prep sequence. Additionally, 5 patients with congenital heart disease were acquired to test the clinical feasibility of the proposed approach. RESULTS The proposed iT2 prep-IR sequence showed improved blood nulling compared to both DIR and iT2 prep techniques in terms of SNR (SNRblood = 6.9, 12.2, and 18.2, respectively) and contrast-to-noise-ratio (CNRmyoc-blood = 28.4, 15.4, and 15.3, respectively). No statistical difference was observed between iT2 prep-IR, iT2 prep and DIR atrial and ventricular wall thickness quantification. CONCLUSION The proposed interleaved T2 prep-IR sequence enables the simultaneous lumen and wall visualization of cardiac structures and shows promising results in terms of SNR, CNR, and wall thickness measurement.
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Affiliation(s)
- Giorgia Milotta
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Giulia Ginami
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Gastao Cruz
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
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24
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Guo R, Zhang X, Zhu X, Liu Z, Xie S. Morphologic characteristics of severe basilar artery atherosclerotic stenosis on 3D high-resolution MRI. BMC Neurol 2018; 18:206. [PMID: 30553271 PMCID: PMC6295022 DOI: 10.1186/s12883-018-1214-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 12/04/2018] [Indexed: 11/23/2022] Open
Abstract
Background Two-dimensional high-resolution MRI (2D HRMRI) faces many technical challenges for fully assessing morphologic characteristics of inherent tortuous basilar arteries. Our aim was to investigate remodeling mechanisms and plaque distribution in symptomatic patients with basilar artery stenosis on three-dimensional (3D) HRMRI. Methods Forty-six consecutive patients with symptomatic basilar artery atherosclerotic stenosis on MRA (70–99%) were enrolled. The remodeling index (RI) was the ratio of vessel area at the maximal-lumen-narrowing (MLN) site to reference vessel area. RI ≥ 1.05 was defined as positive remodeling (PR), RI ≤ 0.95 as negative remodeling (NR), and 0.95 < RI < 1.05 as intermediate remodeling (IR). The remodeling patterns were divided into two groups (PR and non-PR [NR and IR]). The cross-sectional and longitudinal distribution of BA plaques were evaluated. Results Two patients were excluded because of poor-quality images. Images of 44 patients were available for measurements. PR was found in 23 (52.3%) patients, and non-PR in 21 (47.7%) patients. At the MLN sites, vessel area, wall area, plaque size and percentage of plaque burden of PR group were significantly greater than non-PR group (p < .001). Most plaques (90.9%) of the 44 patients were located at the dorsal, left and right walls. For the longitudinal distribution of plaque, 8 (18.2%) and 36 (81.8%) plaques were located in BA proximal and distal to AICA, respectively. Most plaques (68.2%) were eccentrically distributed. Conclusions 3D HRMRI with postprocessing multiple planar reconstruction is able to evaluate the remodeling pattern and plaque distribution of basilar artery atherosclerotic stenosis, which might be used to guide intracranial intervention.
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Affiliation(s)
- Runcai Guo
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghuayuan Dongjie, Beijing, China
| | - Xuebin Zhang
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghuayuan Dongjie, Beijing, China
| | - Xianjin Zhu
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghuayuan Dongjie, Beijing, China.
| | - Zunjing Liu
- Department of Neurology, China-Japan Friendship Hospital, 2 Yinghuayuan Dongjie, Beijing, China.
| | - Sheng Xie
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghuayuan Dongjie, Beijing, China
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25
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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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26
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Gallo D, Bijari PB, Morbiducci U, Qiao Y, Xie YJ, Etesami M, Habets D, Lakatta EG, Wasserman BA, Steinman DA. Segment-specific associations between local haemodynamic and imaging markers of early atherosclerosis at the carotid artery: an in vivo human study. J R Soc Interface 2018; 15:rsif.2018.0352. [PMID: 30305419 DOI: 10.1098/rsif.2018.0352] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/10/2018] [Indexed: 12/16/2022] Open
Abstract
Low and oscillatory wall shear stress (WSS) has long been hypothesized as a risk factor for atherosclerosis; however, evidence has been inferred primarily from model and post-mortem studies, or clinical studies of patients with already-developed plaques. This study aimed to identify associations between local haemodynamic and imaging markers of early atherosclerosis. Comprehensive magnetic resonance imaging allowed quantification of contrast enhancement (CE) (a marker of endothelial dysfunction) and vessel wall thickness at two distinct segments: the internal carotid artery bulb and the common carotid artery (CCA). Strict criteria were applied to a large dataset to exclude inward remodelling, resulting in 41 cases for which personalized computational fluid dynamic simulations were performed. After controlling for cardiovascular risk factors, bulb wall thickening was found to be weakly, but not significantly, associated with oscillatory WSS. CE at the bulb was significantly associated with low WSS (p < 0.001) and low flow helicity (p < 0.05). No significant associations were found for the CCA segment. Local haemodynamics at the bulb were significantly correlated with blood flow rates and heart rates, but not carotid bifurcation geometry (flare and curvature). Therefore low, but not oscillatory, WSS is an early independent marker of atherosclerotic changes preceding intimal thickening at the carotid bulb.
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Affiliation(s)
- Diego Gallo
- Biomedical Simulation Lab, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.,PolitoMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Payam B Bijari
- Biomedical Simulation Lab, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Umberto Morbiducci
- PolitoMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Ye Qiao
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yuanyuan Joyce Xie
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Maryam Etesami
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Damiaan Habets
- Biomedical Simulation Lab, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Edward G Lakatta
- Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIA, Baltimore, MD, USA
| | - Bruce A Wasserman
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David A Steinman
- Biomedical Simulation Lab, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
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27
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Zhang Y, Guallar E, Malhotra S, Astor BC, Polak JF, Qiao Y, Gomes AS, Herrington DM, Sharrett AR, Bluemke DA, Wasserman BA. Carotid Artery Wall Thickness and Incident Cardiovascular Events: A Comparison between US and MRI in the Multi-Ethnic Study of Atherosclerosis (MESA). Radiology 2018; 289:649-657. [PMID: 30299234 DOI: 10.1148/radiol.2018173069] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Purpose To compare common carotid artery (CCA) wall thickness measured manually by using US and semiautomatically by using MRI, and to examine their associations with incident coronary heart disease and stroke. Materials and Methods This prospective study enrolled 698 participants without a history of clinical cardiovascular disease (CVD) from the Multi-Ethnic Study of Atherosclerosis (MESA) from July 2000 to December 2013 (mean age, 63 years; range, 45 to 84 years; same for men and women). All participants provided written informed consent. CCA wall thickness was measured with US as well as both noncontrast proton-density-weighted and intravenous gadolinium-enhanced MRI. Cox proportional hazards models were used to assess the associations between wall thickness measurements by using US and MRI with CVD outcomes. Results The adjusted hazard ratios for coronary heart disease, stroke, and CVD associated with per standard deviation increase in intima-media thickness were 1.10, 1.08, and 1.14, respectively. The corresponding associations for mean wall thickness measured with proton-density-weighted MRI were 1.32, 1.48, and 1.37, and for mean wall thickness measured with gadolinium-enhanced MRI were 1.27, 1.58, and 1.38. When included simultaneously in the same model, MRI wall thickness, but not intima-media thickness, remained associated with outcomes. Conclusion For individuals without known cardiovascular disease at baseline, wall thickness measurements by using MRI were more consistently associated with incident cardiovascular disease, particularly stroke, than were intima-media thickness by using US. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Yiyi Zhang
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Eliseo Guallar
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Saurabh Malhotra
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Brad C Astor
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Joseph F Polak
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Ye Qiao
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Antoinette S Gomes
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - David M Herrington
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - A Richey Sharrett
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - David A Bluemke
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
| | - Bruce A Wasserman
- From the Departments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (Y.Z., E.G., A.R.S.); Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY (S.M.); Departments of Medicine and Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wis (B.C.A.); Department of Radiology, Tufts University School of Medicine, Boston, Mass (J.F.P.); The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, 367 East Park Building, Baltimore, Md 21287 (Y.Q., B.A.W.); Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, Calif (A.S.G.); Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC (D.M.H.); and Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Md (D.A.B.)
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28
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Zeiler SR, Qiao Y, Pardo CA, Lim M, Wasserman BA. Vessel Wall MRI for Targeting Biopsies of Intracranial Vasculitis. AJNR Am J Neuroradiol 2018; 39:2034-2036. [PMID: 30262647 DOI: 10.3174/ajnr.a5801] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 06/17/2018] [Indexed: 11/07/2022]
Abstract
Central nervous system vasculitides are elusive diseases that are challenging to diagnose because brain biopsies have high false-negative rates. We sought to test the ability of contrast-enhanced, high-resolution 3D vessel wall MR imaging to identify vascular inflammation and direct open biopsies of intracranial target vessels and adjacent brain parenchyma. Eight of 9 specimens revealed vascular inflammation. We conclude that vessel wall MR imaging can identify inflamed intracranial vessels, enabling precise localization of biopsy targets.
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Affiliation(s)
- S R Zeiler
- From the Department of Neurology (S.R.Z., C.A.P.)
| | - Y Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.)
| | - C A Pardo
- From the Department of Neurology (S.R.Z., C.A.P.).,Departments of Pathology (C.A.P.)
| | - M Lim
- Neurosurgery (M.L.), Johns Hopkins University, Baltimore, Maryland
| | - B A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.)
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29
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Lindenholz A, Harteveld AA, Zwanenburg JJM, Siero JCW, Hendrikse J. Comparison of 3T Intracranial Vessel Wall MRI Sequences. AJNR Am J Neuroradiol 2018; 39:1112-1120. [PMID: 29674412 DOI: 10.3174/ajnr.a5629] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 02/17/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Intracranial vessel wall MR imaging plays an increasing role in diagnosing intracranial vascular diseases. For a complete assessment, pre- and postcontrast sequences are required, and including other sequences, these result in a long scan duration. Ideally, the scan time of the vessel wall sequence should be reduced. The purpose of this study was to evaluate different intracranial vessel wall sequence variants to reduce scan duration, provided an acceptable image quality can be maintained. MATERIALS AND METHODS Starting from the vessel wall sequence that we use clinically (6:42 minutes), 6 scan variants were tested (scan duration ranging between 4:39 and 8:24 minutes), creating various trade-offs among spatial resolution, SNR, and contrast-to-noise ratio. In total, 15 subjects were scanned on a 3T MR imaging scanner: In 5 subjects, all 7 variants were performed precontrast-only, and in 10 other subjects, the fastest variant (4:39 minutes) and our clinically used variant (6:42 minutes) were performed pre- and postcontrast. RESULTS The fastest variant (4:39 minutes) had higher or comparable SNRs/contrast-to-noise ratios of the intracranial vessel walls compared with the reference sequence (6:42 minutes). Qualitative assessment showed that the contrast-to-noise ratio was most suppressed in the fastest variant of 4:39 minutes and the variant of 6:42 minutes pre- and postcontrast. SNRs/contrast-to-noise ratios of the fastest variant were all, except one, higher compared with the variant of 6:42 minutes (P < .008). Furthermore, the fastest variant (4:39 minutes) detected all vessel wall lesions identified on the 6:42-minute variant. CONCLUSIONS A 30% faster vessel wall sequence was developed with high SNRs/contrast-to-noise ratios that resulted in good visibility of the intracranial vessel wall.
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Affiliation(s)
- A Lindenholz
- From the Department of Radiology (A.L., A.A.H., J.J.M.Z., J.C.W.S., J.H.) University Medical Center Utrecht, Utrecht, the Netherlands
| | - A A Harteveld
- From the Department of Radiology (A.L., A.A.H., J.J.M.Z., J.C.W.S., J.H.) University Medical Center Utrecht, Utrecht, the Netherlands
| | - J J M Zwanenburg
- From the Department of Radiology (A.L., A.A.H., J.J.M.Z., J.C.W.S., J.H.) University Medical Center Utrecht, Utrecht, the Netherlands
| | - J C W Siero
- From the Department of Radiology (A.L., A.A.H., J.J.M.Z., J.C.W.S., J.H.) University Medical Center Utrecht, Utrecht, the Netherlands.,Spinoza Center for Neuroimaging (J.C.W.S.), Amsterdam, the Netherlands
| | - J Hendrikse
- From the Department of Radiology (A.L., A.A.H., J.J.M.Z., J.C.W.S., J.H.) University Medical Center Utrecht, Utrecht, the Netherlands
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30
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Tan HW, Chen X, Maingard J, Barras CD, Logan C, Thijs V, Kok HK, Lee MJ, Chandra RV, Brooks M, Asadi H. Intracranial Vessel Wall Imaging with Magnetic Resonance Imaging: Current Techniques and Applications. World Neurosurg 2018; 112:186-198. [PMID: 29360586 DOI: 10.1016/j.wneu.2018.01.083] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Revised: 01/05/2018] [Accepted: 01/11/2018] [Indexed: 11/19/2022]
Abstract
Vessel wall magnetic resonance imaging (VW-MRI) is a modern imaging technique with expanding applications in the characterization of intracranial vessel wall pathology. VW-MRI provides added diagnostic capacity compared with conventional luminal imaging methods. This review explores the principles of VW-MRI and typical imaging features of various vessel wall pathologies, such as atherosclerosis, dissection, and vasculitis. Radiologists should be familiar with this important imaging technique, given its increasing use and future relevance to everyday practice.
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Affiliation(s)
- Haur Wey Tan
- Department of Radiology, Austin Hospital, Melbourne, Australia.
| | - Xiao Chen
- Department of Radiology, Austin Hospital, Melbourne, Australia
| | - Julian Maingard
- Department of Radiology, Austin Hospital, Melbourne, Australia; Department of Interventional Neuroradiology Service, Austin Hospital, Melbourne, Australia; Faculty of Health, School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
| | - Christen D Barras
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, United Kingdom; The South Australian Health and Medical Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | | | - Vincent Thijs
- Department of Neurology, Austin Health, Heidelberg, Victoria, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
| | - Hong Kuan Kok
- Department of Interventional Radiology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | - Michael J Lee
- Department of Radiology, Beaumont Hospital, Dublin, Ireland; Interventional Radiology Service, Beaumont Hospital, Dublin, Ireland; Royal College of Surgeons Ireland, Dublin, Ireland
| | - Ronil V Chandra
- Interventional Neuroradiology Unit, Monash Imaging, Monash Health, Melbourne, Victoria, Australia; Department of Imaging, Monash University, Melbourne, Victoria, Australia
| | - Mark Brooks
- Department of Interventional Neuroradiology Service, Austin Hospital, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia; Department of Radiology, Interventional Neuroradiology Service, St. Vincent's Hospital, Melbourne, Victoria, Australia
| | - Hamed Asadi
- Department of Interventional Neuroradiology Service, Austin Hospital, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia; Faculty of Health, School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia
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Li B, Li H, Kong H, Dong L, Zhang J, Fang J. Compressed sensing based simultaneous black- and gray-blood carotid vessel wall MR imaging. Magn Reson Imaging 2017; 38:214-223. [DOI: 10.1016/j.mri.2017.01.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 01/17/2017] [Accepted: 01/17/2017] [Indexed: 10/20/2022]
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Zhang N, Zhang L, Yang Q, Pei A, Tong X, Chung YC, Liu X. A fast screening protocol for carotid plaques imaging using 3D multi-contrast MRI without contrast agent. Magn Reson Imaging 2016; 39:89-97. [PMID: 27989914 DOI: 10.1016/j.mri.2016.10.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Accepted: 10/26/2016] [Indexed: 11/29/2022]
Abstract
PURPOSE To implement a fast (~15min) MRI protocol for carotid plaque screening using 3D multi-contrast MRI sequences without contrast agent on a 3Tesla MRI scanner. MATERIALS AND METHODS 7 healthy volunteers and 25 patients with clinically confirmed transient ischemic attack or suspected cerebrovascular ischemia were included in this study. The proposed protocol, including 3D T1-weighted and T2-weighted SPACE (variable-flip-angle 3D turbo spin echo), and T1-weighted magnetization prepared rapid acquisition gradient echo (MPRAGE) was performed first and was followed by 2D T1-weighted and T2-weighted turbo spin echo, and post-contrast T1-weighted SPACE sequences. Image quality, number of plaques, and vessel wall thicknesses measured at the intersection of the plaques were evaluated and compared between sequences. RESULTS Average examination time of the proposed protocol was 14.6min. The average image quality scores of 3D T1-weighted, T2-weighted SPACE, and T1-weighted magnetization prepared rapid acquisition gradient echo were 3.69, 3.75, and 3.48, respectively. There was no significant difference in detecting the number of plaques and vulnerable plaques using pre-contrast 3D images with or without post-contrast T1-weighted SPACE. The 3D SPACE and 2D turbo spin echo sequences had excellent agreement (R=0.96 for T1-weighted and 0.98 for T2-weighted, p<0.001) regarding vessel wall thickness measurements. CONCLUSION The proposed protocol demonstrated the feasibility of attaining carotid plaque screening within a 15-minute scan, which provided sufficient anatomical coverage and critical diagnostic information. This protocol offers the potential for rapid and reliable screening for carotid plaques without contrast agent.
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Affiliation(s)
- Na Zhang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Shenzhen, China; Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Lei Zhang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Shenzhen, China
| | - Qi Yang
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Anqi Pei
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Xiaoxin Tong
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yiu-Cho Chung
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Shenzhen, China
| | - Xin Liu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Shenzhen, China.
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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: 397] [Impact Index Per Article: 49.6] [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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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: 90] [Impact Index Per Article: 11.3] [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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Qiao Y, Guallar E, Suri FK, Liu L, Zhang Y, Anwar Z, Mirbagheri S, Xie YJ, Nezami N, Intrapiromkul J, Zhang S, Alonso A, Chu H, Couper D, Wasserman BA. MR Imaging Measures of Intracranial Atherosclerosis in a Population-based Study. Radiology 2016; 280:860-8. [PMID: 27022858 DOI: 10.1148/radiol.2016151124] [Citation(s) in RCA: 80] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Purpose To implement a magnetic resonance (MR) imaging protocol to measure intracranial atherosclerotic disease (ICAD) in a population-based multicenter study and report examination and reader reliability of these MR imaging measurements and descriptive statistics representative of the general population. Materials and Methods This prospective study was approved by the institutional review boards and compliant with HIPAA. Atherosclerosis Risk in Communities (ARIC) study participants (n = 1980) underwent brain MR imaging from 2011 to 2013 at four ARIC sites. Imaging included three-dimensional black-blood MR imaging and time-of-flight MR angiography. One hundred two participants returned for repeat MR imaging to estimate examination and reader variability. Plaque presence according to vessel segment was recorded. Quantitative measurements included lumen size and degree of stenosis, wall and/or plaque thickness, area and volume, and normalized wall index for each vessel segment. Reliability was assessed with percentage agreement, κ statistics, and intraclass correlation coefficients. Results Of the 1980 participants, 1755 (mean age, 77.6 years; 1026 women [59%]; 1234 white [70%]) completed examinations with adequate to excellent image quality. The weighted ICAD prevalence was 34.4% (637 of 1755 participants) and was higher in men than women (38.5% [302 of 729 participants] vs 31.7% [335 of 1026 participants], respectively; P = .012) and in African Americans compared with whites (41.1% [215 of 518 participants] vs 32.4% [422 of 1234 participants], respectively; P = .002). Percentage agreement of plaque identification per participant was 87.0% (interreader estimate), 89.2% (intrareader estimate), and 89.9% (examination estimate). Examination and reader reliability ranged from fair to good (κ, 0.50-0.78) for plaque presence and from good to excellent (intraclass correlation coefficient, 0.69-0.99) for quantitative vessel wall measurements. Conclusion Vessel wall MR imaging is a reliable tool for identifying and measuring ICAD and provided insight into ICAD distribution across a U.S. community-based population. (©) RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Ye Qiao
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Eliseo Guallar
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Fareed K Suri
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Li Liu
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Yiyi Zhang
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Zeeshan Anwar
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Saeedeh Mirbagheri
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - YuanYuan Joyce Xie
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Nariman Nezami
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Jarunee Intrapiromkul
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Shuqian Zhang
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Alvaro Alonso
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Haitao Chu
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - David Couper
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
| | - Bruce A Wasserman
- From The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 367 East Park Building, 600 N Wolfe St, Baltimore, MD 21287 (Y.Q., L.L., Z.A., S.M., Y.J.X., N.N., J.I., S.Z., B.A.W.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (E.G., Y.Z.); Department of Neurology, University of Minnesota, Minneapolis, Minn (F.K.S.); School of Public Health, University of Minnesota, Minneapolis, Minn (A.A., H.C.); School of Public Health, University of North Carolina, Chapel Hill, NC (D.C.)
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Qiao Y, Anwar Z, Intrapiromkul J, Liu L, Zeiler SR, Leigh R, Zhang Y, Guallar E, Wasserman BA. Patterns and Implications of Intracranial Arterial Remodeling in Stroke Patients. Stroke 2016; 47:434-40. [PMID: 26742795 DOI: 10.1161/strokeaha.115.009955] [Citation(s) in RCA: 129] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 11/30/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Preliminary studies suggest that intracranial arteries are capable of accommodating plaque formation by remodeling. We sought to study the ability and extent of intracranial arteries to remodel using 3-dimensional high-resolution black blood magnetic resonance imaging and investigate its relation to ischemic events. METHODS Forty-two patients with cerebrovascular ischemic events underwent 3-dimensional time-of-flight magnetic resonance angiography and contrast-enhanced black blood magnetic resonance imaging examinations at 3 T for intracranial atherosclerotic disease. Each plaque was classified by location (eg, posterior versus anterior circulation) and its likelihood to have caused a stroke identified on magnetic resonance imaging (culprit, indeterminate, or nonculprit). Lumen area, outer wall area, and wall area were measured at the lesion and reference sites. Plaque burden was calculated as wall area divided by outer wall area. The arterial remodeling ratio (RR) was calculated as outer wall area at the lesion site divided by outer wall area at the reference site after adjusting for vessel tapering. Arterial remodeling was categorized as positive if RR>1.05, intermediate if 0.95≤RR≤1.05, and negative if RR<0.95. RESULTS One hundred and thirty-seven plaques were identified in 42 patients (37% [50] posterior and 63% [87] anterior). Compared with anterior circulation plaques, posterior circulation plaques had a larger plaque burden (77.7±15.7 versus 69.0±14.0; P=0.008), higher RR (1.14±0.38 versus 0.95±0.32; P=0.002), and more often exhibited positive remodeling (54.0% versus29.9%; P=0.011). Positive remodeling was marginally associated with downstream stroke presence when adjusted for plaque burden (odds ratio 1.34, 95% confidence interval: 0.99-1.81). CONCLUSIONS Intracranial arteries remodel in response to plaque formation, and posterior circulation arteries have a greater capacity for positive remodeling and, consequently, may more likely elude angiographic detection. Arterial remodeling may provide insight into stroke risk.
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Affiliation(s)
- Ye Qiao
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Zeeshan Anwar
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Jarunee Intrapiromkul
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Li Liu
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Steven R Zeiler
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Richard Leigh
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Yiyi Zhang
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Eliseo Guallar
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.)
| | - Bruce A Wasserman
- From The Russell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD (Y.Q., Z.A., J.I., L.L., B.A.W.); Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD (S.R.Z., R.L.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Y.Z., E.G.).
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Zhang L, Zhang N, Wu J, Zhang L, Huang Y, Liu X, Chung YC. High resolution three dimensional intracranial arterial wall imaging at 3 T using T1 weighted SPACE. Magn Reson Imaging 2015; 33:1026-1034. [DOI: 10.1016/j.mri.2015.06.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Revised: 05/07/2015] [Accepted: 06/20/2015] [Indexed: 10/23/2022]
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Wall thickening pattern in atherosclerotic basilar artery stenosis. Neurol Sci 2015; 37:269-76. [PMID: 26520844 DOI: 10.1007/s10072-015-2404-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 10/17/2015] [Indexed: 10/22/2022]
Abstract
Our aim was to investigate wall thickening (WT) pattern of atherosclerotic basilar artery stenosis with three-dimensional volumetric isotropic turbo spin echo acquisition (3D VISTA), and the relationship with clinical characteristics. Twenty consecutive patients with atherosclerotic basilar artery stenosis were prospectively enrolled. All cross-sectional slices on VISTA images of basilar arteries were assessed, and classified as eccentric or concentric WT. Clinical characteristics and degree of stenosis were compared between the patients with different wall WT pattern. Wall abnormalities were identified in 568 cross-sectional slices in basilar arteries of 20 patients including eccentric WT in 497 (87.5 %) slices, and concentric WT in 71 (12.5 %) slices. In 11 of 20 patients, all the cross-sectional slices (293 slices) showed eccentric WT. In 9 of 20 patients, the cross-sectional slices (275 slices) showed both eccentric WT (204 slices, 74.2 %) and concentric WT (71 slices, 25.8 %). No lesion showed only concentric WT. At the slices of maximum luminal narrowing sites, only one patient showed concentric WT. Symptomatic stenosis was more common in the patients with mixed WT (eccentric and concentric), compared to patients with only eccentric WT (100 vs 54.5 %, p = 0.038). Atherosclerotic basilar artery stenosis could show both eccentric and concentric WT based on each slice analysis. Concentric WT was found in near half of the patients, but tended to locate in minimal slices. No lesion was entirely concentric. Lesions with mixed WT (concentric and eccentric) might represent advanced atherosclerosis with high risk of ischemic event.
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Isotropic 3D black blood MRI of abdominal aortic aneurysm wall and intraluminal thrombus. Magn Reson Imaging 2015; 34:18-25. [PMID: 26471514 DOI: 10.1016/j.mri.2015.10.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 10/07/2015] [Indexed: 11/22/2022]
Abstract
INTRODUCTION The aortic wall and intraluminal thrombus (ILT) have been increasingly studied as potential markers of progressive disease with abdominal aortic aneurysms (AAAs). Our goal was to develop a high resolution, 3D black blood MR technique for AAA wall and ILT imaging within a clinically acceptable scan time. METHODS Twenty two patients with AAAs (maximal diameter 4.3±1.0cm), along with five healthy volunteers, were imaged at 3T with a 3D T1-weighted fast-spin-echo sequence using variable flip angle trains (SPACE) with a preparation pulse (DANTE) for suppressing blood signal. Volunteers and ten patients were also scanned with SPACE alone for comparison purposes. The signal to noise ratio (SNR) and the aortic wall/ILT to lumen contrast to noise ratio (CNR) were measured. Qualitative image scores (1-4 scale) assessing the inner lumen and outer wall boundaries of AAA were performed by two blinded reviewers. In patients with ILT, the ratio of ILT signal intensity (ILTSI) over psoas muscle SI (MuscleSI) was calculated, and the signal heterogeneity of ILT was quantified as standard deviation (SD) over the mean. RESULTS All subjects were imaged successfully with an average scan time of 7.8±0.7minutes. The DANTE preparation pulse for blood suppression substantially reduced flow artifacts in SPACE with lower lumen SNR (8.8 vs. 21.4, p<0.001) and improved the wall/ILT to lumen CNR (9.9 vs. 6.3, p<0.001) in patients. Qualitative assessment showed improved visualization of lumen boundaries (73% higher scores on average, p=0.01) and comparable visualization of outer wall boundary (p>0.05). ILT was present in ten patients, with relatively high signal and a wide SD (average ILTSI/MuscleSI 1.42±0.48 (range 0.75-2.11)) and with SD/mean of 27.7%±6.6% (range 19.6%-39.4%). CONCLUSION High resolution, 3D black blood MRI of AAAs can be achieved in a clinical accepted scan time with reduction of flow artifacts using the DANTE preparation pulse. Signal characteristics of ILT can be quantified and may be used for improved patient-specific risk stratification.
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Abstract
There has been significant progress made in 3-dimensional (3D) carotid plaque MR imaging techniques in recent years. Three-dimensional plaque imaging clearly represents the future in clinical use. With effective flow-suppression techniques, choices of different contrast weighting acquisitions, and time-efficient imaging approaches, 3D plaque imaging offers flexible imaging plane and view angle analysis, large coverage, multivascular beds capability, and even can be used in fast screening.
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Affiliation(s)
- Chun Yuan
- Vascular Imaging Lab, Department of Radiology, Bio-Molecular Imaging Center, University of Washington, Box 358050, 850 Republican Street, Seattle, WA 98109-4714, USA.
| | - Dennis L Parker
- Department of Radiology, Imaging & Neurosciences Center, Utah Center for Advanced Imaging Research (UCAIR), University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA
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Middle Cerebral Artery Atherosclerotic Plaques in Recent Small Subcortical Infarction: A Three-Dimensional High-resolution MR Study. BIOMED RESEARCH INTERNATIONAL 2015; 2015:540217. [PMID: 26539508 PMCID: PMC4619811 DOI: 10.1155/2015/540217] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Accepted: 08/16/2015] [Indexed: 11/17/2022]
Abstract
Purpose. Conventional two-dimensional vessel wall imaging has been used to depict the middle cerebral artery (MCA) wall in patients with recent small subcortical infarctions (RSSIs). However, its clinical use has been limited by restricted spatial coverage, low signal-to-noise ratio (SNR), and long scan time. We used a novel three-dimensional high-resolution MR imaging (3D HR-MRI) technique to investigate the presence, locations, and contrast-enhanced patterns of MCA plaques and their relationship with RSSI. Methods. Nineteen consecutive patients with RSSI but no luminal stenosis on MR angiography were prospectively enrolled. 3D HR-MRI was performed using a T1w-SPACE sequence at 3.0 T. The presence, locations, and contrast-enhanced patterns of the MCA plaques on the ipsilateral and contralateral sides to the RSSI were analyzed. Results. Eighteen patients successfully completed the study. MCA atherosclerotic plaques occurred more frequently on the ipsilateral than the contralateral side to the RSSI (72.2% versus 33.3%, P = 0.044). The occurrence of superiorly located plaques was significantly higher on the ipsilateral than the contralateral side of the MCA (66.7% versus 27.8%; P = 0.044). Conclusions. Superiorly located plaques are closely associated with RSSI. 3D high-resolution vessel wall imaging may be a potential tool for etiologic assessment of ischemic stroke.
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Gounis MJ, van der Marel K, Marosfoi M, Mazzanti ML, Clarençon F, Chueh JY, Puri AS, Bogdanov AA. Imaging Inflammation in Cerebrovascular Disease. Stroke 2015; 46:2991-7. [PMID: 26351362 DOI: 10.1161/strokeaha.115.008229] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Accepted: 08/07/2015] [Indexed: 02/01/2023]
Abstract
Imaging inflammation in large intracranial artery pathology may play an important role in the diagnosis of and risk stratification for a variety of cerebrovascular diseases. Looking beyond the lumen has already generated widespread excitement in the stroke community, and the potential to unveil molecular processes in the vessel wall is a natural evolution to develop a more comprehensive understanding of the pathogenesis of diseases, such as ICAD and brain aneurysms.
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Affiliation(s)
- Matthew J Gounis
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester.
| | - Kajo van der Marel
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
| | - Miklos Marosfoi
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
| | - Mary L Mazzanti
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
| | - Frédéric Clarençon
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
| | - Ju-Yu Chueh
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
| | - Ajit S Puri
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
| | - Alexei A Bogdanov
- From the New England Center for Stroke Research (M.J.G., K.v.d.M., M.M., F.C., J.-Y.C., A.S.P.) and Laboratory of Molecular Imaging Probes (M.L.M., A.A.B.), Department of Radiology, University of Massachusetts Medical School, Worcester
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Li B, Li H, Li J, Zhang Y, Wang X, Zhang J, Dong L, Fang J. Relaxation enhanced compressed sensing three-dimensional black-blood vessel wall MR imaging: Preliminary studies. Magn Reson Imaging 2015; 33:932-8. [DOI: 10.1016/j.mri.2015.03.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Revised: 03/02/2015] [Accepted: 03/30/2015] [Indexed: 11/30/2022]
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Xie Y, Yang Q, Xie G, Pang J, Fan Z, Li D. Improved black-blood imaging using DANTE-SPACE for simultaneous carotid and intracranial vessel wall evaluation. Magn Reson Med 2015; 75:2286-94. [PMID: 26152900 DOI: 10.1002/mrm.25785] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/06/2015] [Accepted: 05/06/2015] [Indexed: 11/10/2022]
Abstract
PURPOSE The purpose of this study was to develop a three-dimensional black blood imaging method for simultaneously evaluating the carotid and intracranial arterial vessel walls with high spatial resolution and excellent blood suppression with and without contrast enhancement. METHODS The delay alternating with nutation for tailored excitation (DANTE) preparation module was incorporated into three-dimensional variable flip angle turbo spin echo (SPACE) sequence to improve blood signal suppression. Simulations and phantom studies were performed to quantify image contrast variations induced by DANTE. DANTE-SPACE, SPACE, and two-dimensional turbo spin echo were compared for apparent signal-to-noise ratio, contrast-to-noise ratio, and morphometric measurements in 14 healthy subjects. Preliminary clinical validation was performed in six symptomatic patients. RESULTS Apparent residual luminal blood was observed in five (pre-contrast) and nine (post-contrast) subjects with SPACE and only two (post-contrast) subjects with DANTE-SPACE. DANTE-SPACE showed 31% (pre-contrast) and 100% (post-contrast) improvement in wall-to-blood contrast-to-noise ratio over SPACE. Vessel wall area measured from SPACE was significantly larger than that from DANTE-SPACE due to possible residual blood signal contamination. DANTE-SPACE showed the potential to detect vessel wall dissection and identify plaque components in patients. CONCLUSION DANTE-SPACE significantly improved arterial and venous blood suppression compared with SPACE. Simultaneous high-resolution carotid and intracranial vessel wall imaging to potentially identify plaque components was feasible with a scan time under 6 min. Magn Reson Med 75:2286-2294, 2016. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
| | - Qi Yang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Guoxi Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jianing Pang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
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MacDonald ME, Frayne R. Cerebrovascular MRI: a review of state-of-the-art approaches, methods and techniques. NMR IN BIOMEDICINE 2015; 28:767-791. [PMID: 26010775 DOI: 10.1002/nbm.3322] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 04/08/2015] [Accepted: 04/09/2015] [Indexed: 06/04/2023]
Abstract
Cerebrovascular imaging is of great interest in the understanding of neurological disease. MRI is a non-invasive technology that can visualize and provide information on: (i) the structure of major blood vessels; (ii) the blood flow velocity in these vessels; and (iii) the microcirculation, including the assessment of brain perfusion. Although other medical imaging modalities can also interrogate the cerebrovascular system, MR provides a comprehensive assessment, as it can acquire many different structural and functional image contrasts whilst maintaining a high level of patient comfort and acceptance. The extent of examination is limited only by the practicalities of patient tolerance or clinical scheduling limitations. Currently, MRI methods can provide a range of metrics related to the cerebral vasculature, including: (i) major vessel anatomy via time-of-flight and contrast-enhanced imaging; (ii) blood flow velocity via phase contrast imaging; (iii) major vessel anatomy and tissue perfusion via arterial spin labeling and dynamic bolus passage approaches; and (iv) venography via susceptibility-based imaging. When designing an MRI protocol for patients with suspected cerebral vascular abnormalities, it is appropriate to have a complete understanding of when to use each of the available techniques in the 'MR angiography toolkit'. In this review article, we: (i) overview the relevant anatomy, common pathologies and alternative imaging modalities; (ii) describe the physical principles and implementations of the above listed methods; (iii) provide guidance on the selection of acquisition parameters; and (iv) describe the existing and potential applications of MRI to the cerebral vasculature and diseases. The focus of this review is on obtaining an understanding through the application of advanced MRI methodology of both normal and abnormal blood flow in the cerebrovascular arteries, capillaries and veins.
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Affiliation(s)
- Matthew Ethan MacDonald
- Biomedical Engineering, Radiology, and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Richard Frayne
- Biomedical Engineering, Radiology, and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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47
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Nieuwstadt HA, Fekkes S, Hansen HHG, de Korte CL, van der Lugt A, Wentzel JJ, van der Steen AFW, Gijsen FJH. Carotid plaque elasticity estimation using ultrasound elastography, MRI, and inverse FEA - A numerical feasibility study. Med Eng Phys 2015; 37:801-7. [PMID: 26130603 DOI: 10.1016/j.medengphy.2015.06.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Revised: 06/02/2015] [Accepted: 06/07/2015] [Indexed: 12/13/2022]
Abstract
The material properties of atherosclerotic plaques govern the biomechanical environment, which is associated with rupture-risk. We investigated the feasibility of noninvasively estimating carotid plaque component material properties through simulating ultrasound (US) elastography and in vivo magnetic resonance imaging (MRI), and solving the inverse problem with finite element analysis. 2D plaque models were derived from endarterectomy specimens of nine patients. Nonlinear neo-Hookean models (tissue elasticity C1) were assigned to fibrous intima, wall (i.e., media/adventitia), and lipid-rich necrotic core. Finite element analysis was used to simulate clinical cross-sectional US strain imaging. Computer-simulated, single-slice in vivo MR images were segmented by two MR readers. We investigated multiple scenarios for plaque model elasticity, and consistently found clear separations between estimated tissue elasticity values. The intima C1 (160 kPa scenario) was estimated as 125.8 ± 19.4 kPa (reader 1) and 128.9 ± 24.8 kPa (reader 2). The lipid-rich necrotic core C1 (5 kPa) was estimated as 5.6 ± 2.0 kPa (reader 1) and 8.5 ± 4.5 kPa (reader 2). A scenario with a stiffer wall yielded similar results, while realistic US strain noise and rotating the models had little influence, thus demonstrating robustness of the procedure. The promising findings of this computer-simulation study stimulate applying the proposed methodology in a clinical setting.
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Affiliation(s)
- H A Nieuwstadt
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, The Netherlands.
| | - S Fekkes
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - H H G Hansen
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - C L de Korte
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - A van der Lugt
- Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - J J Wentzel
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, The Netherlands
| | - A F W van der Steen
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, The Netherlands; Department of Imaging Science and Technology, Delft University of Technology, Delft, The Netherlands
| | - F J H Gijsen
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, The Netherlands.
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Zhu XJ, Jiang WJ, Liu L, Hu LB, Wang W, Liu ZJ. Plaques of Nonstenotic Basilar Arteries with Isolated Pontine Infarction on Three-dimensional High Isotropic Resolution Magnetic Resonance Imaging. Chin Med J (Engl) 2015; 128:1433-7. [PMID: 26021496 PMCID: PMC4733765 DOI: 10.4103/0366-6999.157633] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: There are few studies for evaluating plaque characteristics of nonstenotic basilar arteries (BA). Our aim was to determine entire BA plaques with a three-dimensional volumetric isotropic turbo spin-echo acquisition (VISTA) and investigate the differences between the patients with and without isolated pontine infarction (IPI). Methods: Twenty-four consecutive symptomatic patients with nonstenotic BA on time of flight magnetic resonance angiography (TOF MRA) were enrolled from China-Japan Friendship Hospital between January 2014 and December 2014. BA was classified as “normal” or “irregular” based on TOF MRA, and “normal wall”, “slight wall-thickening”, and “plaque” based on three-dimensional VISTA images. Outcomes from MRA and VISTA were compared. Patients were categorized as IPI and non-IPI groups based on the diffusion-weighted imaging. Clinical and plaque characteristics were compared between the two groups. Results: A total of 1024 image slices including 311 (30.37%) plaque slices, 427 (41.70%) slight wall-thickening slices, and 286 (27.93%) normal wall slices for the entire BA from 23 patients were finally included for analysis. VISTA images detected plaques in all the 9 (100%) irregular MRA patients and 7 of 14 (50%) normal MRA patients. IPI was found in 11 (47.83%) patients. Compared to non-IPI group, the IPI group had a higher percentage of plaque slices (P = 0.001) and lower percentage of normal wall slices (P = 0.014) than non-IPI group. Conclusions: Three-dimensional VISTA images enable detection of BA plaques not visualized by MRA. BA plaques could be found in both the IPI and non-IPI group. However, IPI group showed plaques more extensively in BA than the non-IPI group.
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Affiliation(s)
| | | | | | | | | | - Zun-Jing Liu
- Department of Neurology, China-Japan Friendship Hospital, Beijing 100029, China
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Nieuwstadt HA, Kassar ZAM, van der Lugt A, Breeuwer M, van der Steen AFW, Wentzel JJ, Gijsen FJH. A computer-simulation study on the effects of MRI voxel dimensions on carotid plaque lipid-core and fibrous cap segmentation and stress modeling. PLoS One 2015; 10:e0123031. [PMID: 25856094 PMCID: PMC4391711 DOI: 10.1371/journal.pone.0123031] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 02/16/2015] [Indexed: 11/25/2022] Open
Abstract
Background The benefits of a decreased slice thickness and/or in-plane voxel size in carotid MRI for atherosclerotic plaque component quantification accuracy and biomechanical peak cap stress analysis have not yet been investigated in detail because of practical limitations. Methods In order to provide a methodology that allows such an investigation in detail, numerical simulations of a T1-weighted, contrast-enhanced, 2D MRI sequence were employed. Both the slice thickness (2 mm, 1 mm, and 0.5 mm) and the in plane acquired voxel size (0.62x0.62 mm2 and 0.31x0.31 mm2) were varied. This virtual MRI approach was applied to 8 histology-based 3D patient carotid atherosclerotic plaque models. Results A decreased slice thickness did not result in major improvements in lumen, vessel wall, and lipid-rich necrotic core size measurements. At 0.62x0.62 mm2 in-plane, only a 0.5 mm slice thickness resulted in improved minimum fibrous cap thickness measurements (a 2–3 fold reduction in measurement error) and only marginally improved peak cap stress computations. Acquiring voxels of 0.31x0.31 mm2 in-plane, however, led to either similar or significantly larger improvements in plaque component quantification and computed peak cap stress. Conclusions This study provides evidence that for currently-used 2D carotid MRI protocols, a decreased slice thickness might not be more beneficial for plaque measurement accuracy than a decreased in-plane voxel size. The MRI simulations performed indicate that not a reduced slice thickness (i.e. more isotropic imaging), but the acquisition of anisotropic voxels with a relatively smaller in-plane voxel size could improve carotid plaque quantification and computed peak cap stress accuracy.
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Affiliation(s)
- Harm A. Nieuwstadt
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, the Netherlands
| | - Zaid A. M. Kassar
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology, Erasmus MC, Rotterdam, the Netherlands
| | | | - Marcel Breeuwer
- Philips Healthcare, Best, the Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Anton F. W. van der Steen
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, the Netherlands
- Department of Imaging Science and Technology, Delft University of Technology, Delft, the Netherlands
| | - Jolanda J. Wentzel
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, the Netherlands
| | - Frank J. H. Gijsen
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, the Netherlands
- * E-mail:
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Zhao H, Wang J, Liu X, Zhao X, Hippe DS, Cao Y, Wan J, Yuan C, Xu J. Assessment of carotid artery atherosclerotic disease by using three-dimensional fast black-blood MR imaging: comparison with DSA. Radiology 2014; 274:508-16. [PMID: 25286322 DOI: 10.1148/radiol.14132687] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To assess fast three-dimensional (3D) black-blood (BB) magnetic resonance (MR) imaging as a noninvasive alternative to intraarterial digital subtraction angiography (DSA) at quantifying moderate to severe carotid artery atherosclerotic disease. MATERIALS AND METHODS Local ethics committee approval and written informed patient consent were obtained for this study. Sixty-five carotid arteries from 52 patients with at least 50% stenosis underwent 3D BB MR imaging and DSA. Quantitative measurements, including stenosis, lesion length, and the presence or absence of plaque ulceration, obtained with the two modalities were independently determined. Sensitivity and specificity, the intraclass correlation coefficient (ICC), Cohen κ, and Bland-Altman analysis were used to assess the agreement. RESULTS Excellent agreement in measuring luminal stenosis was found between 3D BB MR imaging and DSA (ICC, 0.96; 95% confidence interval [CI]: 0.93, 0.97). Three-dimensional BB MR imaging was also found to have high sensitivity (91.7%), specificity (96.2%), and agreement (Cohen κ, 0.85; 95% CI: 0.66, 0.99) with DSA for detection of ulcers. Good agreement was found between lesion length measured by using 3D BB MR imaging and DSA (ICC, 0.75; 95% CI: 0.51, 0.84). However, lesion length measurements by using 3D BB MR imaging were, on average, 4.0 mm longer than those measured by using DSA (P < .001). CONCLUSION Three-dimensional BB MR imaging is a noninvasive and accurate way to quantify moderate to severe carotid artery atherosclerotic disease. With fast acquisition and large coverage, 3D BB MR imaging has the potential to become an alternative imaging approach in evaluating the severity of atherosclerosis.
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Affiliation(s)
- Huilin Zhao
- From the Departments of Radiology (H.Z., X.L., Y.C., J.X.) and Neurosurgery (J. Wan), Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Road, Shanghai 200127, China; Philips Research North America, Briarliff Manor, NY (J. Wang); Department of Radiology, University of Washington, Seattle, Wash (J. Wang, D.S.H., C.Y.); and Biomedical Engineering & Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China (X.Z.)
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