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Chen Zhou ZH, Salvador Álvarez E, Hilario A, Cárdenas Del Carre A, Romero Coronado J, Lechuga C, Martínez de Aragón A, Ramos González A. Improved detection of brain metastases using contrast-enhanced 3D black-blood TSE sequences compared to post-contrast 3D T1 GRE: a comparative study on 1.5-T MRI. Eur Radiol 2025:10.1007/s00330-025-11363-0. [PMID: 39841203 DOI: 10.1007/s00330-025-11363-0] [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: 06/30/2024] [Revised: 11/05/2024] [Accepted: 12/15/2024] [Indexed: 01/23/2025]
Abstract
OBJECTIVES Brain metastases are the most common intracranial malignancy in adults, and their detection is crucial for treatment planning. Post-contrast 3D T1 gradient-recalled echo (GRE) sequences are commonly used for this purpose, but contrast-enhanced 3D T1 turbo spin-echo (TSE) sequences with motion-sensitized driven-equilibrium (MSDE) technique ("black blood") may offer improved detection. This study aimed to compare the effectiveness of contrast-enhanced 3D black blood sequences to standard 3D T1 GRE sequences in detecting brain metastases on a 1.5-T MRI. MATERIALS AND METHODS A retrospective analysis of 183 patients with suspected or follow-up brain metastases between May 2022 and September 2023 was conducted. Among these patients, 107 were included in the final analysis. Both post-contrast 3D T1 GRE and 3D black blood sequences were acquired on the same scanner with similar acquisition times. Two neuroradiologists independently evaluated the images for the number, size, and location of metastases. Interobserver variability and statistical analysis were performed. RESULTS Among the 107 patients (mean age 60.8 years ± 13.2 years; 55 males, 52 females), 3D black blood sequences detected a significantly higher number of brain metastases, particularly small lesions (< 5 mm), compared to 3D T1 GRE sequences (p < 0.05). There was no significant difference in detecting large metastases (≥ 5 mm) between the sequences. In addition, the black blood sequences provided better conspicuity of metastases in the majority of patients (85%). CONCLUSION Contrast-enhanced 3D T1 TSE with MSDE ("black blood") sequences offer improved detection of brain metastases, especially small lesions, on 1.5-T MRI compared to standard 3D T1 GRE sequences. KEY POINTS Question Accurate identification of the number and location of brain metastases using MRI is essential for planning and managing effective treatment. Findings Contrast-enhanced 3D T1 TSE black blood sequences detected significantly more small brain metastases than standard 3D T1 GRE sequences on 1.5-T MRI. Clinical relevance The use of 3D black blood sequences on 1.5-T MRI may have the potential to improve the accuracy of detection of brain metastases, leading to better treatment planning and potentially improved patient outcomes.
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Affiliation(s)
- Zhao Hui Chen Zhou
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain.
| | - Elena Salvador Álvarez
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Amaya Hilario
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | - Juan Romero Coronado
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Carmen Lechuga
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Ana Martínez de Aragón
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Ana Ramos González
- Neuroradiology Section, Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
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Won SY, Lee K, Shin I, Choi HS, Choi JH, Kim BS, Shin YS. Reproducibility for carotid wall segmentation using T1-weighted DANTE-SPACE sequence on high-resolution 3-T carotid MRI. Acta Radiol 2024; 65:1196-1204. [PMID: 39113532 DOI: 10.1177/02841851241268467] [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: 10/17/2024]
Abstract
BACKGROUND T1-weighted (T1W) magnetic resonance imaging (MRI) using the delay alternating with nutation for excitation-sampling perfection with application-optimized contrasts using different flip angle evolution (DANTE-SPACE) is the preferred imaging technique for evaluation of the vessel wall. PURPOSE To evaluate the intra- and inter-rater reproducibility of carotid wall segmentation on T1W DANTE-SPACE in patients with symptomatic (acute stroke or transient ischemic attack) internal carotid artery (ICA) stenosis. MATERIAL AND METHODS This prospective study included 25 patients with acute (≤3 months) stroke or transient ischemic attack and 50%-99% stenosis of the ICA. All patients underwent 3.0-T high-resolution carotid MRI. Two radiologists independently performed the manual segmentation of the vessel wall and inner lumen of the bilateral carotid artery on DANTE-SPACE. The intraclass correlation coefficient (ICC), Dice similarity coefficient (DSC), and Hausdorff distance (HD) were calculated. RESULTS The ICCs for intra-rater reproducibility of carotid wall volume, inner lumen volume, and normalized wall index were 0.965, 0.990, and 0.962, respectively. The ICCs for inter-rater reproducibility of carotid wall volume, inner lumen, and normalized wall index were 0.856, 0.981, and 0.904. DSC and HD for intra- and inter-rater reproducibility of carotid wall segmentation were as follows: 0.873 and 0.809 (DSC); and 0.079 and 0.118 (HD), respectively. For evaluation of reproducibility only in the carotid artery with symptomatic stenosis, the ICCs for intra- and inter-rater reproducibility indicated all perfect agreement. CONCLUSION T1W DANTE-SPACE is a reproducible sequence for evaluation of the carotid wall using carotid MRI in patients with symptomatic ICA stenosis.
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Affiliation(s)
- So Yeon Won
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 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
| | - Kijeong Lee
- 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
- Department of Neurology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ilah Shin
- 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
- Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyun Seok Choi
- 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
- Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Radiology, Seoul Medical Center, Seoul, Republic of Korea
| | - Jai Ho Choi
- Department of Neurosurgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Bum-Soo Kim
- Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong Sam Shin
- Department of Neurosurgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
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David E, Grazhdani H, Aliotta L, Gavazzi LM, Foti PV, Palmucci S, Inì C, Tiralongo F, Castiglione D, Renda M, Pacini P, Di Bella C, Solito C, Gigli S, Fazio A, Bella R, Basile A, Cantisani V. Imaging of Carotid Stenosis: Where Are We Standing? Comparison of Multiparametric Ultrasound, CT Angiography, and MRI Angiography, with Recent Developments. Diagnostics (Basel) 2024; 14:1708. [PMID: 39202195 PMCID: PMC11352936 DOI: 10.3390/diagnostics14161708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 07/22/2024] [Accepted: 07/26/2024] [Indexed: 09/03/2024] Open
Abstract
Atherosclerotic disease of the carotid arteries is a crucial risk factor in predicting the likelihood of future stroke events. In addition, emerging studies suggest that carotid stenosis may also be an indicator of plaque load on coronary arteries and thus have a correlation with the risk of acute cardiovascular events. Furthermore, although in symptomatic patients the degree of stenosis is the main morphological parameter studied, recent evidence suggests, especially in asymptomatic patients, that plaque vulnerability should also be evaluated as an emerging and significant imaging parameter. The reference diagnostic methods for the evaluation of carotid stenosis are currently ultrasonography, magnetic resonance imaging (MRI), and computed tomography angiography (CTA). In addition, other more invasive methods such as 123I-metaiodobenzylguanidine (MIBG) scintigraphy and PET-CT, as well as digital subtraction angiography, can be used. Each method has advantages and disadvantages, and there is often some confusion in their use. For example, the usefulness of MRI is often underestimated. In addition, implementations for each method have been developed over the years and are already enabling a significant increase in diagnostic accuracy. The purpose of our study is to make an in-depth analysis of all the methods in use and in particular their role in the diagnostic procedure of carotid stenosis, also discussing new technologies.
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Affiliation(s)
- Emanuele David
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
- Department of Translational and Precision Medicine, “Sapienza” University of Rome, 00185 Rome, Italy
| | | | - Lorenzo Aliotta
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Livio Maria Gavazzi
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Pietro Valerio Foti
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Stefano Palmucci
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Corrado Inì
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Francesco Tiralongo
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Davide Castiglione
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Maurizio Renda
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy; (M.R.); (P.P.); (C.D.B.); (C.S.); (V.C.)
| | - Patrizia Pacini
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy; (M.R.); (P.P.); (C.D.B.); (C.S.); (V.C.)
| | - Chiara Di Bella
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy; (M.R.); (P.P.); (C.D.B.); (C.S.); (V.C.)
| | - Carmen Solito
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy; (M.R.); (P.P.); (C.D.B.); (C.S.); (V.C.)
| | - Silvia Gigli
- Department of Diagnostic Imaging, Sandro Pertini Hospital, Via dei Monti Tiburtini, 385, 00157 Rome, Italy;
| | - Alessandro Fazio
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Rita Bella
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Antonio Basile
- Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”, University Hospital Policlinic “G. Rodolico-San Marco”, 95125 Catania, Italy; (L.A.); (L.M.G.); (P.V.F.); (S.P.); (C.I.); (F.T.); (D.C.); (A.F.); (R.B.); (A.B.)
| | - Vito Cantisani
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy; (M.R.); (P.P.); (C.D.B.); (C.S.); (V.C.)
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Sanghvi D, Shrivastava M. Carotid plaque imaging: Strategies beyond stenosis. Ann Indian Acad Neurol 2022; 25:11-14. [PMID: 35342272 PMCID: PMC8954334 DOI: 10.4103/aian.aian_483_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/21/2021] [Accepted: 08/03/2021] [Indexed: 11/04/2022] Open
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Bandopadhyay R, Singh T, Ghoneim MM, Alshehri S, Angelopoulou E, Paudel YN, Piperi C, Ahmad J, Alhakamy NA, Alfaleh MA, Mishra A. Recent Developments in Diagnosis of Epilepsy: Scope of MicroRNA and Technological Advancements. BIOLOGY 2021; 10:1097. [PMID: 34827090 PMCID: PMC8615191 DOI: 10.3390/biology10111097] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 10/21/2021] [Accepted: 10/21/2021] [Indexed: 12/18/2022]
Abstract
Epilepsy is one of the most common neurological disorders, characterized by recurrent seizures, resulting from abnormally synchronized episodic neuronal discharges. Around 70 million people worldwide are suffering from epilepsy. The available antiepileptic medications are capable of controlling seizures in around 60-70% of patients, while the rest remain refractory. Poor seizure control is often associated with neuro-psychiatric comorbidities, mainly including memory impairment, depression, psychosis, neurodegeneration, motor impairment, neuroendocrine dysfunction, etc., resulting in poor prognosis. Effective treatment relies on early and correct detection of epileptic foci. Although there are currently a few well-established diagnostic techniques for epilepsy, they lack accuracy and cannot be applied to patients who are unsupportive or harbor metallic implants. Since a single test result from one of these techniques does not provide complete information about the epileptic foci, it is necessary to develop novel diagnostic tools. Herein, we provide a comprehensive overview of the current diagnostic tools of epilepsy, including electroencephalography (EEG) as well as structural and functional neuroimaging. We further discuss recent trends and advances in the diagnosis of epilepsy that will enable more effective diagnosis and clinical management of patients.
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Affiliation(s)
- Ritam Bandopadhyay
- Department of Pharmacology, School of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, Punjab, India;
| | - Tanveer Singh
- Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, Bryan, TX 77807, USA;
| | - Mohammed M. Ghoneim
- Department of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Ad Diriyah 13713, Saudi Arabia;
| | - Sultan Alshehri
- Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Efthalia Angelopoulou
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.A.); (C.P.)
| | - Yam Nath Paudel
- Neuropharmacology Research Strength, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Subang Jaya 47500, Selangor, Malaysia;
| | - Christina Piperi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.A.); (C.P.)
| | - Javed Ahmad
- Department of Pharmaceutics, College of Pharmacy, Najran University, Najran 11001, Saudi Arabia;
| | - Nabil A. Alhakamy
- Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia; (N.A.A.); (M.A.A.)
| | - Mohamed A. Alfaleh
- Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia; (N.A.A.); (M.A.A.)
- Vaccines and Immunotherapy Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Awanish Mishra
- Department of Pharmacology, School of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, Punjab, India;
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER)—Guwahati, Changsari, Guwahati 781101, Assam, India
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Evans NR, Tarkin JM, Le EP, Sriranjan RS, Corovic A, Warburton EA, Rudd JH. Integrated cardiovascular assessment of atherosclerosis using PET/MRI. Br J Radiol 2020; 93:20190921. [PMID: 32238077 DOI: 10.1259/bjr.20190921] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Atherosclerosis is a systemic inflammatory disease typified by the development of lipid-rich atheroma (plaques), the rupture of which are a major cause of myocardial infarction and stroke. Anatomical evaluation of the plaque considering only the degree of luminal stenosis overlooks features associated with vulnerable plaques, such as high-risk morphological features or pathophysiology, and hence risks missing vulnerable or ruptured non-stenotic plaques. Consequently, there has been interest in identifying these markers of vulnerability using either MRI for morphology, or positron emission tomography (PET) for physiological processes involved in atherogenesis. The advent of hybrid PET/MRI scanners offers the potential to combine the strengths of PET and MRI to allow comprehensive assessment of the atherosclerotic plaque. This review will discuss the principles and technical aspects of hybrid PET/MRI assessment of atherosclerosis, and consider how combining the complementary modalities of PET and MRI has already furthered our understanding of atherogenesis, advanced drug development, and how it may hold potential for clinical application.
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Affiliation(s)
- Nicholas R Evans
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jason M Tarkin
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Elizabeth Pv Le
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Rouchelle S Sriranjan
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Andrej Corovic
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Elizabeth A Warburton
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - James Hf Rudd
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
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Chen L, Liu Q, Shi Z, Tian X, Peng W, Lu J. Interstudy reproducibility of dark blood high-resolution MRI in evaluating basilar atherosclerotic plaque at 3 Tesla. ACTA ACUST UNITED AC 2018; 24:237-242. [PMID: 30091714 DOI: 10.5152/dir.2018.17373] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE We aimed to evaluate the interscan, intraobserver, and interobserver reproducibility of basilar atherosclerotic plaque employing dark blood high-resolution magnetic resonance imaging (HR-MRI) at 3 Tesla. METHODS Sixteen patients (14 males and 2 females) with > 30% basilar stenosis as identified by conventional magnetic resonance angiography were prospectively recruited for scan and rescan examinations on a 3 Tesla MRI system using T2-weighted turbo spin-echo protocol. Two observers independently measured the areas of vessels and lumens. Wall area was derived by subtracting the lumen area from the vessel area. Areas of vessels, lumens and walls were compared for the evaluation of interscan variability of basilar plaque. To assess the intraobserver variability, one observer reevaluated all the images of the first scan after a 4-week interval. RESULTS Fourteen patients were included in the final analysis. No clinically significant difference was observed for interscan, intraobserver, and interobserver measurements. The intraclass correlations for vessel, lumen, and wall areas were excellent and ranged from 0.973 to 0.981 for the interscan measurements, 0.997 to 0.998 for the intraobserver measurements and 0.979 to 0.985 for the interobserver measurements. The coefficients of variation for quantitative basilar morphology measurements were 4.31%-10.35% for the interscan measurements, 1.41%-4.62% for the intraobserver measurements and 3.79%-8.46% for the interobserver measurements. Compared with the interscan and interobserver measurements, narrow intervals of the scatterplots were observed for the intraobserver measurements by Bland-Altman plots. CONCLUSION Basilar atherosclerotic plaque imaging demonstrates excellent reproducibility at 3 Tesla. The study proves that dark blood HR-MRI may serve as a reliable tool for clinical studies focused on the progression and treatment response of basilar atherosclerosis.
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Affiliation(s)
- Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China
| | - Qi Liu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China
| | - Zhang Shi
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China
| | - Xia Tian
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China
| | - Wenjia Peng
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China
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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: 2.6] [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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9
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Khosa F, Clough RE, Wang X, Madhuranthakam AJ, Greenman RL. The potential role of IDEAL MRI for identification of lipids and hemorrhage in carotid artery plaques. Magn Reson Imaging 2018; 49:25-31. [DOI: 10.1016/j.mri.2017.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Accepted: 12/03/2017] [Indexed: 02/06/2023]
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10
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Yuan J, Usman A, Reid SA, King KF, Patterson AJ, Gillard JH, Graves MJ. Three-dimensional black-blood multi-contrast carotid imaging using compressed sensing: a repeatability study. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 31:183-190. [PMID: 28653214 PMCID: PMC5813054 DOI: 10.1007/s10334-017-0640-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 06/09/2017] [Accepted: 06/16/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The purpose of this work is to evaluate the repeatability of a compressed sensing (CS) accelerated multi-contrast carotid protocol at 3 T. MATERIALS AND METHODS Twelve volunteers and eight patients with carotid disease were scanned on a 3 T MRI scanner using a CS accelerated 3-D black-blood multi-contrast protocol which comprises T 1w, T 2w and PDw without CS, and with a CS factor of 1.5 and 2.0. The volunteers were scanned twice, the lumen/wall area and wall thickness were measured for each scan. Eight patients were scanned once, the inter/intra-observer reproducibility of the measurements was calculated. RESULTS In the repeated volunteer scans, the interclass correlation coefficient (ICC) for the wall area measurement using a CS factor of 1.5 in PDw, T 1w and T 2w were 0.95, 0.81, and 0.97, respectively. The ICC for lumen area measurement using a CS factor of 1.5 in PDw, T 1w and T 2w were 0.96, 0.92, and 0.96, respectively. In patients, the ICC for inter/intra-observer measurements of lumen/wall area, and wall thickness were all above 0.81 in all sequences. CONCLUSION The results show a CS accelerated 3-D black-blood multi-contrast protocol is a robust and reproducible method for carotid imaging. Future protocol design could use CS to reduce the scanning time.
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Affiliation(s)
- Jianmin Yuan
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital, Hills Rd, Cambridge, CB2 0QQ, UK.
| | - Ammara Usman
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital, Hills Rd, Cambridge, CB2 0QQ, UK
| | | | | | - Andrew J Patterson
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jonathan H Gillard
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital, Hills Rd, Cambridge, CB2 0QQ, UK
| | - Martin J Graves
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital, Hills Rd, Cambridge, CB2 0QQ, UK
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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11
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Ishizaka K, Kudo K, Harada K, Shirai T, Fujiwara T, Aoike S, Takamori S, Shirato H. Simple modification of arm position improves B1
+
and signal homogeneity in the thoracolumbar spine at 3T. J Magn Reson Imaging 2017; 47:123-130. [DOI: 10.1002/jmri.25767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 05/08/2017] [Indexed: 11/05/2022] Open
Affiliation(s)
- Kinya Ishizaka
- Department of Radiological Technology; Hokkaido University Hospital; Sapporo Japan
| | - Kohsuke Kudo
- Division of Diagnostic and Interventional Radiology; Hokkaido University Hospital; Sapporo Japan
| | | | - Toru Shirai
- Hitachi, Ltd., Research and Development Group; Tokyo Japan
| | - Taro Fujiwara
- Department of Radiological Technology; Hokkaido University Hospital; Sapporo Japan
| | - Suzuko Aoike
- Department of Radiological Technology; Hokkaido University Hospital; Sapporo Japan
| | - Sayaka Takamori
- Department of Radiological Technology; Hokkaido University Hospital; Sapporo Japan
| | - Hiroki Shirato
- Department of Radiation Medicine; Hokkaido University Graduate School of Medicine; Sapporo Japan
- Global Station for Quantum Medical Science and Engineering; Global Institution for Collaborative Research and Education, Hokkaido University; Sapporo Japan
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12
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Domi T, Vossough A, Stence NV, Felling RJ, Leung J, Krishnan P, Watson CG, Grant PE, Kassner A. The Potential for Advanced Magnetic Resonance Neuroimaging Techniques in Pediatric Stroke Research. Pediatr Neurol 2017; 69:24-36. [PMID: 28237248 DOI: 10.1016/j.pediatrneurol.2016.12.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 12/23/2016] [Accepted: 12/24/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND This article was written to provide clinicians and researchers with an overview of a number of advanced neuroimaging techniques in an effort to promote increased utility and the design of future studies using advanced neuroimaging in childhood stroke. The current capabilities of advanced magnetic resonance imaging techniques provide the opportunity to build on our knowledge of the consequences of stroke on the developing brain. These capabilities include providing information about the physiology, metabolism, structure, and function of the brain that are not routinely evaluated in the clinical setting. METHODS During the Proceedings of the Stroke Imaging Laboratory for Children Workshop in Toronto in June 2015, a subgroup of clinicians and imaging researchers discussed how the application of advanced neuroimaging techniques could further our understanding of the mechanisms of stroke injury and repair in the pediatric population. This subgroup was established based on their interest and commitment to design collaborative, advanced neuroimaging studies in the pediatric stroke population. RESULTS In working toward this goal, we first sought to describe here the magnetic resonance imaging techniques that are currently available for use, and how they have been applied in other stroke populations (e.g., adult and perinatal stroke). CONCLUSIONS With the continued improvement in advanced neuroimaging techniques, including shorter acquisition times, there is an opportunity to apply these techniques to their full potential in the research setting and learn more about the effects of stroke in the developing brain.
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Affiliation(s)
- Trish Domi
- Department of Physiology, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Experimental Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Arastoo Vossough
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nicholas V Stence
- Department of Radiology, University of Colorado School of Medicine, Aurora, Colorado
| | - Ryan J Felling
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jackie Leung
- Department of Physiology, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Experimental Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Pradeep Krishnan
- Department of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Christopher G Watson
- Department of Computational Neuroscience, Division of Graduate Medical Sciences, Boston University School of Medicine, Boston, Massachusetts; Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - P Ellen Grant
- Division of Newborn Medicine, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Andrea Kassner
- Department of Physiology, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Experimental Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
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13
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Abstract
Magnetic resonance imaging (MRI) plays a key role in the investigation of cerebrovascular diseases. Compared with computed tomography (CT) and digital subtraction angiography (DSA), its advantages in diagnosing cerebrovascular pathology include its superior tissue contrast, its ability to visualize blood vessels without the use of a contrast agent, and its use of magnetic fields and radiofrequency pulses instead of ionizing radiation. In recent years, ultrahigh field MRI at 7 tesla (7 T) has shown promise in the diagnosis of many cerebrovascular diseases. The increased signal-to-noise ratio (SNR; 2.3x and 4.7x increase compared with 3 and 1.5 T, respectively) and contrast-to-noise ratio (CNR) at this higher field strength can be exploited to obtain a higher spatial resolution and higher lesion conspicuousness, enabling assessment of smaller brain structures and lesions. Cerebrovascular diseases can be assessed at different tissue levels; for instance, changes of the arteries feeding the brain can be visualized to determine the cause of ischemic stroke, regional changes in brain perfusion can be mapped to predict outcome after revascularization, and tissue damage, including old and recent ischemic infarcts, can be evaluated as a marker of ischemic burden. For the purpose of this review, we will discriminate 3 levels of assessment of cerebrovascular diseases using MRI: Pipes, Perfusion, and Parenchyma (3 Ps). The term Pipes refers to the brain-feeding arteries from the heart and aortic arch, upwards to the carotid arteries, vertebral arteries, circle of Willis, and smaller intracranial arterial branches. Perfusion is the amount of blood arriving at the brain tissue level, and includes the vascular reserve and perfusion territories. Parenchyma refers to the acute and chronic burden of brain tissue damage, which includes larger infarcts, smaller microinfarcts, and small vessel disease manifestations such as white matter lesions, lacunar infarcts, and microbleeds. In this review, we will describe the key developments in the last decade of 7-T MRI of cerebrovascular diseases, subdivided for these 3 levels of assessment.
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14
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Abstract
Advances in atherosclerosis imaging technology and research have provided a range of diagnostic tools to characterize high-risk plaque in vivo; however, these important vascular imaging methods additionally promise great scientific and translational applications beyond this quest. When combined with conventional anatomic- and hemodynamic-based assessments of disease severity, cross-sectional multimodal imaging incorporating molecular probes and other novel noninvasive techniques can add detailed interrogation of plaque composition, activity, and overall disease burden. In the catheterization laboratory, intravascular imaging provides unparalleled access to the world beneath the plaque surface, allowing tissue characterization and measurement of cap thickness with micrometer spatial resolution. Atherosclerosis imaging captures key data that reveal snapshots into underlying biology, which can test our understanding of fundamental research questions and shape our approach toward patient management. Imaging can also be used to quantify response to therapeutic interventions and ultimately help predict cardiovascular risk. Although there are undeniable barriers to clinical translation, many of these hold-ups might soon be surpassed by rapidly evolving innovations to improve image acquisition, coregistration, motion correction, and reduce radiation exposure. This article provides a comprehensive review of current and experimental atherosclerosis imaging methods and their uses in research and potential for translation to the clinic.
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Affiliation(s)
- Jason M Tarkin
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Marc R Dweck
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Nicholas R Evans
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Richard A P Takx
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Adam J Brown
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Ahmed Tawakol
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Zahi A Fayad
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - James H F Rudd
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.).
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15
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Skagen K, Evensen K, Scott H, Krohg-Sørensen K, Vatnehol SA, Hol PK, Skjelland M, Russell D. Semiautomated Magnetic Resonance Imaging Assessment of Carotid Plaque Lipid Content. J Stroke Cerebrovasc Dis 2016; 25:2004-10. [PMID: 27234919 DOI: 10.1016/j.jstrokecerebrovasdis.2016.01.043] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 12/16/2015] [Accepted: 01/29/2016] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The composition of a carotid plaque is important for plaque vulnerability and stroke risk. The main aim of this study was to assess the potential of semiautomated segmentation of carotid plaque magnetic resonance imaging (MRI) in the assessment of the size of the lipid-rich necrotic core (LRNC). METHODS Thirty-four consecutive patients with carotid stenosis of 70% or higher, who were scheduled for carotid endarterectomy, underwent a clinical neurological examination, Color duplex ultrasound, 3-T MRI with an 8-channel carotid coil, and blood tests. All examinations were performed less than 24 hours prior to surgery and plaques were assessed histologically immediately following endarterectomy. Plaques were defined as symptomatic when associated with ipsilateral cerebral ischemic symptoms within 30 days prior to inclusion. The level of agreement between the size of the LRNC and calcification on MRI to the histological estimation of the same tissue components, plaque echolucency on ultrasound, and symptoms was assessed. RESULTS The size of the LRNC on MRI was significantly correlated to the percentage amount of lipid per plaque on histological assessment (P = .010, r = .5), and to echogenicity on ultrasound with echolucent plaques having larger LRNC than echogenic plaques (P = .001, r = -.7). CONCLUSIONS In this study, we found that semiautomated MRI assessments of the percentage LRNC in carotid plaques were significantly correlated to the percentage LRNC per plaque on histological assessment, and to echogenicity on ultrasound with echolucent plaques having larger LRNC than echogenic plaques.
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Affiliation(s)
- Karolina Skagen
- Department of Neurology, Oslo University Hospital, Norway; Institute of Clinical Medicine, University of Oslo, Norway.
| | - Kristin Evensen
- Department of Neurology, Oslo University Hospital, Norway; Vestre Viken, Drammen Hospital, Norway
| | - Helge Scott
- Department of Pathology, Oslo University Hospital, Norway
| | | | | | - Per Kristian Hol
- Institute of Clinical Medicine, University of Oslo, Norway; The Intervention Centre, Oslo University Hospital, Norway
| | - Mona Skjelland
- Department of Neurology, Oslo University Hospital, Norway
| | - David Russell
- Department of Neurology, Oslo University Hospital, Norway; Institute of Clinical Medicine, University of Oslo, Norway
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16
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Rose KAM, Vera JH, Drivas P, Banya W, Keenan N, Pennell DJ, Winston A. Atherosclerosis is Evident in Treated HIV-Infected Subjects With Low Cardiovascular Risk by Carotid Cardiovascular Magnetic Resonance. J Acquir Immune Defic Syndr 2016; 71:514-21. [PMID: 26579986 PMCID: PMC4782218 DOI: 10.1097/qai.0000000000000900] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Premature atherosclerosis has been observed among HIV-infected individuals with high cardiovascular risk using one-dimensional ultrasound carotid intima-media thickness. We evaluated the assessment of HIV-infected individuals with low traditional cardiovascular disease risk using cardiovascular magnetic resonance, which allows three-dimensional assessment of the carotid artery wall. METHODS Carotid cardiovascular magnetic resonance was performed in 33 HIV-infected individuals (cases) (19 male, 14 female), and 35 HIV-negative controls (20 male, 15 female). Exclusion criteria included smoking, hypertension, hyperlipidemia (total cholesterol/HDL ratio > 5) or family history of premature atherosclerosis. Cases were stable on combination antiretroviral therapy with plasma HIV-1 RNA <50 copies per milliliter. Using computer modeling, the arterial wall, lumen, and total vessel volumes were calculated for a 4-cm length of each carotid artery centered on the bifurcation. The wall/outer-wall ratio (W/OW), an index of vascular thickening, was compared between the groups. RESULTS Cases had a median CD4 cell count of 690 cells per microliter. Mean (±SD) age and 10-year Framingham coronary risk scores were similar for cases and controls (45.2 ± 9.7 years versus 46.9 ± 11.6 years and 3.97% ± 3.9% versus 3.72% ± 3.5%, respectively). W/OW was significantly increased in cases compared with controls (36.7% versus 32.5%, P < 0.0001); this was more marked in HIV-infected females. HIV status was significantly associated with increased W/OW after adjusting for age (P < 0.0001). No significant association between antiretroviral type and W/OW was found-W/OW lowered comparing abacavir to zidovudine (P = 0.038), but statistical model fits poorly. CONCLUSIONS In a cohort of treated HIV-infected individuals with low measurable cardiovascular risk, we have observed evidence of premature subclinical atherosclerosis.
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Affiliation(s)
- Kathleen A M Rose
- *Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom; †Section of Infectious Diseases, Department of Medicine, Imperial College London, London, United Kingdom; and ‡Division of Medicine, Brighton and Sussex Medical School, United Kingdom
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Lopez Gonzalez M, Foo S, Holmes W, Stewart W, Muir K, Condon B, Welch G, Forbes K. Atherosclerotic Carotid Plaque Composition: A 3T and 7T MRI-Histology Correlation Study. J Neuroimaging 2016; 26:406-13. [PMID: 26919134 DOI: 10.1111/jon.12332] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 12/18/2015] [Indexed: 11/30/2022] Open
Affiliation(s)
- M.R. Lopez Gonzalez
- Department of Clinical Physics and Bioengineering; Glasgow Royal Infirmary; Glasgow UK
| | - S.Y. Foo
- ST1, West of Scotland Radiology Training Scheme, NHS; Glasgow UK
| | - W.M. Holmes
- Glasgow Experimental MRI Centre; Institute of Neuroscience and Psychology, University of Glasgow; UK
| | - W. Stewart
- Department of Neuropathology, Laboratory Medicine Building; Queen Elizabeth University Hospital; Glasgow UK
| | - K.W. Muir
- Centre for Stroke and Brain Imaging Research, Institute of Neuroscience and Psychology; University of Glasgow; UK
| | - B. Condon
- Institute of Neurological Sciences; Queen Elizabeth University Hospital; UK
| | - G. Welch
- Vascular Surgery; Queen Elizabeth University Hospital; Glasgow UK
| | - K.P. Forbes
- Institute of Neurological Sciences; Queen Elizabeth University Hospital; UK
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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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Singh N, Moody AR, Roifman I, Bluemke DA, Zavodni AEH. Advanced MRI for carotid plaque imaging. Int J Cardiovasc Imaging 2015; 32:83-9. [PMID: 26293362 PMCID: PMC4706840 DOI: 10.1007/s10554-015-0743-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 08/13/2015] [Indexed: 10/28/2022]
Abstract
Atherosclerosis is the ubiquitous underling pathological process that manifests in heart attack and stroke, cumulating in the death of one in three North American adults. High-resolution magnetic resonance imaging (MRI) is able to delineate atherosclerotic plaque components and total plaque burden within the carotid arteries. Using dedicated hardware, high resolution images can be obtained. Combining pre- and post-contrast T1, T2, proton-density, and magnetization-prepared rapid acquisition gradient echo weighted fat-saturation imaging, plaque components can be defined. Post-processing software allows for semi- and fully automated quantitative analysis. Imaging correlation with surgical specimens suggests that this technique accurately differentiates plaque features. Total plaque burden and specific plaque components such as a thin fibrous cap, large fatty or necrotic core and intraplaque hemorrhage are accepted markers of neuroischemic events. Given the systemic nature of atherosclerosis, emerging science suggests that the presence of carotid plaque is also an indicator of coronary artery plaque burden, although the preliminary data primarily involves patients with stable coronary disease. While the availability and cost-effectiveness of MRI will ultimately be important determinants of whether carotid MRI is adopted clinically in cardiovascular risk assessment, the high accuracy and reliability of this technique suggests that it has potential as an imaging biomarker of future risk.
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Affiliation(s)
- Navneet Singh
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Room AG56b, Toronto, ON, M4N 3M5, Canada
| | - Alan R Moody
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Room AG56b, Toronto, ON, M4N 3M5, Canada
| | - Idan Roifman
- Division of Cardiology, Department of Internal Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - David A Bluemke
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Anna E H Zavodni
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Room AG56b, Toronto, ON, M4N 3M5, Canada.
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20
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Usman A, Sadat U, Graves MJ, Gillard JH. Magnetic resonance imaging of atherothrombotic plaques. J Clin Neurosci 2015; 22:1722-6. [PMID: 26254092 DOI: 10.1016/j.jocn.2015.03.060] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Accepted: 03/28/2015] [Indexed: 11/27/2022]
Abstract
Atherosclerosis remains the leading cause of long term morbidity and mortality worldwide, despite significant advances in its management. Vulnerable atherothrombotic plaques are predominantly responsible for thromboembolic ischaemic events in arterial beds, such as the carotid, coronary and lower limb arteries. MRI has emerged as a non-invasive, non-irradiating and highly reproducible imaging technique which allows detailed morphological and functional assessment of such plaques. It also has the potential to monitor the efficacy of established and evolving anti-atherosclerosis drugs. It is envisaged that by careful identification and understanding of the underlying cellular and molecular mechanisms that govern atherosclerosis, novel treatment strategies can be formulated which may reduce the persistent high mortality and morbidity rates associated with this disease. MRI shows promise in achieving this goal.
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Affiliation(s)
- Ammara Usman
- University Department of Radiology, Addenbrooke's Hospital, Post Office Box 218, Level 5, Hills Road, Cambridge CB20QQ, UK.
| | - Umar Sadat
- Cambridge Vascular Unit, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK
| | - Martin J Graves
- University Department of Radiology, Addenbrooke's Hospital, Post Office Box 218, Level 5, Hills Road, Cambridge CB20QQ, UK
| | - Jonathan H Gillard
- University Department of Radiology, Addenbrooke's Hospital, Post Office Box 218, Level 5, Hills Road, Cambridge CB20QQ, UK
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21
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Gao S, van 't Klooster R, van Wijk DF, Nederveen AJ, Lelieveldt BPF, van der Geest RJ. Repeatability of in vivo quantification of atherosclerotic carotid artery plaque components by supervised multispectral classification. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2015; 28:535-45. [PMID: 26162931 PMCID: PMC4651977 DOI: 10.1007/s10334-015-0495-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 06/24/2015] [Accepted: 06/29/2015] [Indexed: 12/17/2022]
Abstract
Objective
To evaluate the agreement and scan–rescan repeatability of automated and manual plaque segmentation for the quantification of in vivo carotid artery plaque components from multi-contrast MRI. Materials and methods Twenty-three patients with 30–70 % stenosis underwent two 3T MR carotid vessel wall exams within a 1 month interval. T1w, T2w, PDw and TOF images were acquired around the region of maximum vessel narrowing. Manual delineation of the vessel wall and plaque components (lipid, calcification, loose matrix) by an experienced observer provided the reference standard for training and evaluation of an automated plaque classifier. Areas of different plaque components and fibrous tissue were quantified and compared between segmentation methods and scan sessions. Results In total, 304 slices from 23 patients were included in the segmentation experiment, in which 144 aligned slice pairs were available for repeatability analysis. The correlation between manual and automated segmented areas was 0.35 for lipid, 0.66 for calcification, 0.50 for loose matrix and 0.82 for fibrous tissue. For the comparison between scan sessions, the coefficient of repeatability of area measurement obtained by automated segmentation was lower than by manual delineation for lipid (9.9 vs. 17.1 mm2), loose matrix (13.8 vs. 21.2 mm2) and fibrous tissue (24.6 vs. 35.0 mm2), and was similar for calcification (20.0 vs. 17.6 mm2). Conclusion Application of an automated classifier for segmentation of carotid vessel wall plaque components from in vivo MRI results in improved scan–rescan repeatability compared to manual analysis.
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Affiliation(s)
- Shan Gao
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Ronald van 't Klooster
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Diederik F van Wijk
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Boudewijn P F Lelieveldt
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Rob J van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
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Increasing the Spatial Resolution of 3T Carotid MRI Has No Beneficial Effect for Plaque Component Measurement Reproducibility. PLoS One 2015; 10:e0130878. [PMID: 26161783 PMCID: PMC4498614 DOI: 10.1371/journal.pone.0130878] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Accepted: 05/26/2015] [Indexed: 11/19/2022] Open
Abstract
Purpose Different in-plane resolutions have been used for carotid 3T MRI. We compared the reproducibility, as well as the within- and between reader variability of high and routinely used spatial resolution in scans of patients with atherosclerotic carotid artery disease. Since no consensus exists about the optimal segmentation method, we analysed all imaging data using two different segmentation methods. Materials and Methods In 31 patient with carotid atherosclerosis a high (0.25 × 0.25 mm2; HR) and routinely used (0.50 × 0.50 mm2; LR) spatial resolution carotid MRI scan were performed within one month. A fully blinded closed and a simultaneously open segmentation were used to quantify the lipid rich necrotic core (LRNC), calcified and loose matrix (LM) plaque area and the fibrous cap (FC) thickness. Results No significant differences were observed between scan-rescan reproducibility for HR versus LR measurements, nor did we find any significant difference between the within-reader and between-reader reproducibility. The same applies for differences between the open and closed reads. All intraclass correlation coefficients between scans and rescans for the LRNC, calcified and LM plaque area, as well as the FC thickness measurements with the open segmentation method were excellent (all above 0.75). Conclusions Increasing the spatial resolution at the expense of the contrast-to-noise ratio does not improve carotid plaque component scan-rescan reproducibility in patients with atherosclerotic carotid disease, nor does using a different segmentation method.
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Rajiah P, Bolen MA. Cardiovascular MR imaging at 3 T: opportunities, challenges, and solutions. Radiographics 2015; 34:1612-35. [PMID: 25310420 DOI: 10.1148/rg.346140048] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Although 3-T magnetic resonance (MR) imaging is well established in neuroradiology and musculoskeletal imaging, it is in the nascent stages in cardiovascular imaging applications, and there is limited literature on this topic. The primary advantage of 3 T over 1.5 T is a higher signal-to-noise ratio (SNR), which can be used as such or traded off to improve spatial or temporal resolution and decrease acquisition time. However, the actual gain in SNR is limited by other factors and modifications in sequences adapted for use at 3 T. Higher resonance frequencies result in improved spectral resolution, which is beneficial for fat suppression and spectroscopy. The higher T1 values of tissues at 3 T aid in myocardial tagging, angiography, and perfusion and delayed-enhancement sequences. However, there are substantial challenges with 3-T cardiac MR imaging, including higher magnetic field and radiofrequency inhomogeneities and susceptibility effects, which diminish image quality. Off-resonance artifacts are particularly challenging, especially with steady-state free precession sequences. These artifacts can be managed by using higher-order shimming, frequency scouts, or low repetition times. B1 inhomogeneities can be managed by using radiofrequency shimming, multitransmit coils, or adiabatic pulses. Chemical shifts are also increased at 3 T. The higher radiofrequency results in higher radiofrequency deposition power and a higher specific absorption rate. MR angiography, dynamic first-pass perfusion sequences, myocardial tagging, and MR spectroscopy are more effective at 3 T, whereas delayed-enhancement, flow quantification, and black-blood sequences are comparable at 1.5 T and 3 T. Knowledge of the relevant physics helps in identifying artifacts and modifying sequences to optimize image quality. Online supplemental material is available for this article.
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Affiliation(s)
- Prabhakar Rajiah
- From the Cardiothoracic Imaging Section, Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106 (P.R.); and Cardiovascular Imaging Laboratory, Imaging Institute, Cleveland Clinic Foundation, Cleveland, Ohio (M.A.B.)
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24
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Strang AC, van Wijk DF, Mutsaerts HJMM, Stroes ESG, Nederveen AJ, Rotmans JI, Rabelink TJ, Box FMA. Guideline treatment results in regression of atherosclerosis in type 2 diabetes mellitus. Diab Vasc Dis Res 2015; 12:126-32. [PMID: 25589481 DOI: 10.1177/1479164114559511] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Efficacy of guideline cardiovascular disease prevention regimens may differ between patients with or without type II diabetes mellitus. We therefore compared change in carotid artery wall dimensions in type II diabetes mellitus and non-type II diabetes mellitus patients with a history of a major cardiovascular disease event, using magnetic resonance imaging. METHODS Thirty type II diabetes mellitus patients and 29 age- and sex-matched non-diabetes mellitus patients with a history of stroke or myocardial infarction and a carotid artery stenosis (15%-70%) were included. In all patients, treatment was according to cardiovascular risk management guidelines. At baseline and follow-up, carotid artery vessel wall dimensions were measured using 1.5 T magnetic resonance imaging. RESULTS After 2 years of follow-up, total wall volume of the carotid artery in type II diabetes mellitus patients decreased by 9.6% (p = 0.016). In contrast, stabilization rather than regression of carotid artery wall dimensions was observed in non-diabetes mellitus patients over a 2-year period. Body mass index was identified as a predictor of total wall volume decrease. CONCLUSIONS Guideline treatment arrests atherogenesis in non-diabetes mellitus patients and even decreases vessel wall dimensions in type II diabetes mellitus patients. Baseline body mass index predicts cardiovascular disease prevention efficacy expressed as decrease in total wall volume. These data emphasize the importance of optimal cardiovascular-prevention, particularly in diabetes patients with a high body mass index.
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Affiliation(s)
- Aart C Strang
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Diederik F van Wijk
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | | | - Erik S G Stroes
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Joris I Rotmans
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ton J Rabelink
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frieke M A Box
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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25
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Quam DJ, Gundert TJ, Ellwein L, Larkee CE, Hayden P, Migrino RQ, Otake H, LaDisa JF. Immersive visualization for enhanced computational fluid dynamics analysis. J Biomech Eng 2014; 137:1934918. [PMID: 25378201 DOI: 10.1115/1.4029017] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Indexed: 11/08/2022]
Abstract
Modern biomedical computer simulations produce spatiotemporal results that are often viewed at a single point in time on standard 2D displays. An immersive visualization environment (IVE) with 3D stereoscopic capability can mitigate some shortcomings of 2D displays via improved depth cues and active movement to further appreciate the spatial localization of imaging data with temporal computational fluid dynamics (CFD) results. We present a semi-automatic workflow for the import, processing, rendering, and stereoscopic visualization of high resolution, patient-specific imaging data, and CFD results in an IVE. Versatility of the workflow is highlighted with current clinical sequelae known to be influenced by adverse hemodynamics to illustrate potential clinical utility.
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26
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Zhang Y, Guallar E, Qiao Y, Wasserman BA. Is carotid intima-media thickness as predictive as other noninvasive techniques for the detection of coronary artery disease? Arterioscler Thromb Vasc Biol 2014; 34:1341-5. [PMID: 24764454 DOI: 10.1161/atvbaha.113.302075] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Carotid intima-media thickness (CIMT) measured by B-mode ultrasound is the most widely used noninvasive imaging method to assess atherosclerosis and cardiovascular risk. CIMT has been consistently associated with coronary artery disease and stroke; however, recent meta-analyses and systematic reviews suggest that its clinical usefulness may be limited because the addition of CIMT to traditional risk factors has not improved the risk prediction of cardiovascular events in the general population. Characterizing the carotid wall by MRI may have greater clinical utility compared with CIMT measurements by ultrasound. Unlike CIMT, MRI measurements of wall thickness include the adventitia and may be sensitive to adventitial thickening that results from vasa vasorum proliferation as a sign of early plaque development. MRI also has the ability to image the entire circumference of the carotid wall, including the outer wall of the carotid bulb where plaque forms in its earliest stage, and identify plaque components such as the lipid core, fibrous cap, and intraplaque hemorrhage that are closely related to plaque vulnerability and cardiovascular risk. Additional research is needed to assess the added prognostic value of MRI measurements of wall and plaque features in risk prediction beyond traditional risk factors.
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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.); and Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, MD (Y.Q., B.A.W.)
| | - 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.); and Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, MD (Y.Q., B.A.W.)
| | - 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.); and Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, MD (Y.Q., B.A.W.)
| | - 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.); and Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, MD (Y.Q., B.A.W.).
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Chung JW, Kim BJ, Choi BS, Sohn CH, Bae HJ, Yoon BW, Lee SH. High-resolution Magnetic Resonance Imaging Reveals Hidden Etiologies of Symptomatic Vertebral Arterial Lesions. J Stroke Cerebrovasc Dis 2014; 23:293-302. [PMID: 23541422 DOI: 10.1016/j.jstrokecerebrovasdis.2013.02.021] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Revised: 02/23/2013] [Accepted: 02/25/2013] [Indexed: 11/17/2022] Open
Affiliation(s)
- Jong-Won Chung
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Clinical Research Center for Stroke, Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Clinical Research Center for Stroke, Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Neurology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Byung Se Choi
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Chul Ho Sohn
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Clinical Research Center for Stroke, Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Byung-Woo Yoon
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung-Hoon Lee
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
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Nederveen AJ, Avril S, Speelman L. MRI strain imaging of the carotid artery: present limitations and future challenges. J Biomech 2014; 47:824-33. [PMID: 24468207 DOI: 10.1016/j.jbiomech.2014.01.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2014] [Indexed: 11/18/2022]
Abstract
Rupture of atherosclerotic plaques in the carotid artery is a main cause of stroke. Current diagnostics are not sufficient to identify all rupture-prone plaques, and studies have shown that biomechanical factors improve current plaque risk assessment. Strain imaging may be a valuable contribution to this risk assessment. MRI is a versatile imaging technique that offers various methods that are capable of measuring tissue strain. In this review, MR imaging techniques with displacement (DENSE), velocity (PC MRI), or strain (SENC) encoding protocols are discussed, together with post-processing techniques based on time-resolved MRI data. Although several MRI techniques are being developed to improve time-resolved MR imaging, current technical limitations related to spatial and temporal resolutions render MRI strain imaging currently unfit for carotid plaque strain evaluation. A novel approach using non-rigid image registration of MR images to determine strain in carotid arteries based on black blood cine MRI is proposed in this review. This and other post-processing techniques based on time-resolved MRI data may provide a good estimate of plaque strain, but are also dependent on the spatial and temporal resolution of the MR images. However, they seem to be the most promising approach for MRI based plaque strain analysis in the near future.
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Affiliation(s)
- Aart J Nederveen
- Department of Radiology, Academic Medical Center Amsterdam, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Stéphane Avril
- Center for Biomedical and Healthcare Engineering, Ecole Nationale Supérieure des Mines de Saint-Étienne, France
| | - Lambert Speelman
- Department of Biomedical Engineering, Erasmus MC Rotterdam, The Netherlands
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Naim C, Douziech M, Therasse E, Robillard P, Giroux MF, Arsenault F, Cloutier G, Soulez G. Vulnerable atherosclerotic carotid plaque evaluation by ultrasound, computed tomography angiography, and magnetic resonance imaging: an overview. Can Assoc Radiol J 2013; 65:275-86. [PMID: 24360724 DOI: 10.1016/j.carj.2013.05.003] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Accepted: 05/31/2013] [Indexed: 01/23/2023] Open
Abstract
Ischemic syndromes associated with carotid atherosclerotic disease are often related to plaque rupture. The benefit of endarterectomy for high-grade carotid stenosis in symptomatic patients has been established. However, in asymptomatic patients, the benefit of endarterectomy remains equivocal. Current research seeks to risk stratify asymptomatic patients by characterizing vulnerable, rupture-prone atherosclerotic plaques. Plaque composition, biology, and biomechanics are studied by noninvasive imaging techniques such as magnetic resonance imaging, computed tomography, ultrasound, and ultrasound elastography. These techniques are at a developmental stage and have yet to be used in clinical practice. This review will describe noninvasive techniques in ultrasound, magnetic resonance imaging, and computed tomography imaging modalities used to characterize atherosclerotic plaque, and will discuss their potential clinical applications, benefits, and drawbacks.
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Affiliation(s)
- Cyrille Naim
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada; Research Centre of the Centre Hospitalier de l'Université de Montréal and Université de Montréal, Montreal, Québec, Canada
| | - Maxime Douziech
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada
| | - Eric Therasse
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada
| | - Pierre Robillard
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada
| | - Marie-France Giroux
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada
| | - Frederic Arsenault
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada
| | - Guy Cloutier
- Research Centre of the Centre Hospitalier de l'Université de Montréal and Université de Montréal, Montreal, Québec, Canada; Research Centre of the Centre Hospitalier de l'Université de Montréal and Université de Montréal, Montreal, Québec, Canada
| | - Gilles Soulez
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montreal, Québec, Canada; Research Centre of the Centre Hospitalier de l'Université de Montréal and Université de Montréal, Montreal, Québec, Canada.
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van Wijk DF, Strang AC, Duivenvoorden R, Enklaar DJF, van der Geest RJ, Kastelein JJP, de Groot E, Stroes ESG, Nederveen AJ. Increasing spatial resolution of 3T MRI scanning improves reproducibility of carotid arterial wall dimension measurements. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2013; 27:219-26. [PMID: 24046072 DOI: 10.1007/s10334-013-0407-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2013] [Revised: 09/04/2013] [Accepted: 09/04/2013] [Indexed: 10/26/2022]
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31
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Du J, Peterson M, Kansal N, Bydder GM, Kahn A. Mineralization in calcified plaque is like that of cortical bone-Further evidence from ultrashort echo time (UTE) magnetic resonance imaging of carotid plaque calcification and cortical bone. Med Phys 2013; 40:102301. [DOI: 10.1118/1.4819944] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Hingwala D, Kesavadas C, Sylaja PN, Thomas B, Kapilamoorthy TR. Multimodality imaging of carotid atherosclerotic plaque: Going beyond stenosis. Indian J Radiol Imaging 2013; 23:26-34. [PMID: 23986615 PMCID: PMC3737614 DOI: 10.4103/0971-3026.113616] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Apart from the degree of stenosis, the morphology of carotid atherosclerotic plaques and presence of neovascularization are important factors that may help to evaluate the risk and ‘vulnerability’ of plaques and may also influence the choice of treatment. In this article, we aim to describe the techniques and imaging findings on CTA, high resolution MRI and contrast enhanced ultrasound in the evaluation of carotid atherosclerotic plaques. We also discuss a few representative cases from our institute with the related clinical implications.
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Affiliation(s)
- Divyata Hingwala
- Department of Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
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Kröner E, Westenberg J, van der Geest R, Brouwer N, Doornbos J, Kooi M, van der Wall E, Lamb H, Siebelink H. High field carotid vessel wall imaging: A study on reproducibility. Eur J Radiol 2013; 82:680-5. [DOI: 10.1016/j.ejrad.2012.11.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Revised: 10/24/2012] [Accepted: 11/20/2012] [Indexed: 11/26/2022]
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Bodle JD, Feldmann E, Swartz RH, Rumboldt Z, Brown T, Turan TN. High-resolution magnetic resonance imaging: an emerging tool for evaluating intracranial arterial disease. Stroke 2012. [PMID: 23204050 DOI: 10.1161/strokeaha.112.664680] [Citation(s) in RCA: 106] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jeffrey D Bodle
- Department of Neurosciences, Medical University of South Carolina, Charleston, SC 29425, USA
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36
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Magnetic Resonance Imaging of Carotid Atherosclerosis and the Risk of Stroke. CURRENT CARDIOVASCULAR IMAGING REPORTS 2012. [DOI: 10.1007/s12410-012-9178-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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37
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Gupta A, Verma HK, Gupta S. Technology and research developments in carotid image registration. Biomed Signal Process Control 2012. [DOI: 10.1016/j.bspc.2012.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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38
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Yuan C, Wang J, Balu N. High-field atherosclerotic plaque magnetic resonance imaging. Neuroimaging Clin N Am 2012; 22:271-84, xi. [PMID: 22548932 DOI: 10.1016/j.nic.2012.02.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Manifestations of atherosclerotic plaque in different arterial beds range from perfusion deficits to overt ischemia such as stroke and myocardial infarction. Atherosclerotic plaque composition is associated with its propensity to rupture and cause vascular events. Magnetic resonance (MR) imaging of atherosclerotic plaque using clinical 1.5 T scanners can detect plaque composition. Plaque MR imaging at higher field strengths offers both opportunities and challenges to improving the high spatial resolution and contrast required for this type of imaging. This article summarizes the technological requirements required for high-field plaque MR imaging and its application in detecting plaque components.
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Affiliation(s)
- Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA 98109, USA.
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39
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Strecker C, Harloff A, Wallis W, Markl M. Flow-sensitive 4D MRI of the thoracic aorta: Comparison of image quality, quantitative flow, and wall parameters at 1.5 T and 3 T. J Magn Reson Imaging 2012; 36:1097-103. [DOI: 10.1002/jmri.23735] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2011] [Accepted: 05/17/2012] [Indexed: 11/09/2022] Open
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40
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Young VE, Patterson AJ, Tunnicliffe EM, Sadat U, Graves MJ, Tang TY, Priest AN, Kirkpatrick PJ, Gillard JH. Signal-to-noise ratio increase in carotid atheroma MRI: a comparison of 1.5 and 3 T. Br J Radiol 2012; 85:937-44. [PMID: 22294703 DOI: 10.1259/bjr/70496948] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVES This study reports quantitative comparisons of signal-to-noise ratio (SNR) at 1.5 and 3 T from images of carotid atheroma obtained using a multicontrast, cardiac-gated, blood-suppressed fast spin echo protocol. METHODS 18 subjects, with carotid atherosclerosis (>30% stenosis) confirmed on ultrasound, were imaged on both 1.5 and 3 T systems using phased-array coils with matched hardware specifications. T(1) weighted (T(1)W), T(2) weighted (T(2)W) and proton density-weighted (PDW) images were acquired with identical scan times. Multiple slices were prescribed to encompass both the carotid bifurcation and the plaque. Image quality was quantified using the SNR and contrast-to-noise ratio (CNR). A phantom experiment was also performed to validate the SNR method and confirm the size of the improvement in SNR. Comparisons of the SNR values from the vessel wall with muscle and plaque/lumen CNR measurements were performed at a patient level. To account for the multiple comparisons a Bonferroni correction was applied. RESULTS One subject was excluded from the protocol owing to image quality and protocol failure. The mean improvement in SNR in plaque was 1.9, 2.1 and 2.1 in T(1)W, T(2)W and PDW images, respectively. All plaque SNR improvements were statistically significant at the p<0.05 level. The phantom experiment reported an improvement in SNR of 2.4 for PDW images. CONCLUSIONS Significant gains in SNR can be obtained for carotid atheroma imaging at 3 T compared with 1.5 T. There was also a trend towards increased CNR. However, this was not significant after the application of the Bonferroni correction.
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Affiliation(s)
- V E Young
- Department of Radiology, Addenbrookes Hospital, Cambridge, UK.
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41
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Thrysoe SA, Stegmann AF, Eldrup N, Klærke A, Paaske W, Kim WY, Nygaard JV. The Effect of Carotid Plaque Morphology on Longitudinal Fibrous Cap Stress Levels. ACTA ACUST UNITED AC 2012. [DOI: 10.4236/wjm.2012.24026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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42
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Yoshida K, Sadamasa N, Narumi O, Chin M, Yamagata S, Miyamoto S. Symptomatic Low-Grade Carotid Stenosis With Intraplaque Hemorrhage and Expansive Arterial Remodeling Is Associated With a High Relapse Rate Refractory to Medical Treatment. Neurosurgery 2011; 70:1143-50; discussion 1150-1. [DOI: 10.1227/neu.0b013e31823fe50b] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
BACKGROUND:
Carotid plaque characteristics influence future risk of stroke considerably. However, the severity of stenosis does not accurately reflect plaque burden in patients with expansive arterial remodeling.
OBJECTIVE:
To determine the therapeutic outcome of symptomatic carotid low-grade stenosis with vulnerable plaque based on magnetic resonance imaging (MRI) characterization.
METHODS:
We studied 25 (male, n = 23; age, 74.2 ± 5.6 years) of 29 consecutive patients with symptomatic carotid low-grade stenosis (<50%) and both high-signal plaque and expansive remodeling on T1-weighted MRIs. The remaining 4 were excluded because of impending stroke. A single antithrombotic and statin were administered, and recurrent ischemic stroke was treated with dual antithrombotics. We considered carotid endarterectomy when recurrence was refractory to aggressive medical treatment.
RESULTS:
During a 31.3 ± 16.4-month follow-up, 11 of the 25 patients developed a total of 30 recurrent ischemic events (46.0% per patient-year). The patients' characteristics did not differ significantly between the groups with and without recurrence (n = 11 and n = 14, respectively). Seven of 11 patients in the recurrence group treated with carotid endarterectomy remained free of ischemic events during a postoperative follow-up of 19.1 ± 14.6 months.
CONCLUSION:
Symptomatic low-grade carotid stenosis with vulnerable plaque confirmed by MRI was associated with a high rate of stroke recurrence that was refractory to aggressive medical treatment. However, carotid endarterectomy was safe and effective for such patients. Plaque characterization by MRI has the potential for more accurate stroke risk stratification in the management of carotid low-grade stenosis.
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Affiliation(s)
- Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University School of Medicine, Kyoto, Japan
| | - Nobutake Sadamasa
- Department of Neurosurgery, Kurashiki Central Hospital, Okayama, Japan
| | - Osamu Narumi
- Department of Neurosurgery, Kurashiki Central Hospital, Okayama, Japan
| | - Masaki Chin
- Department of Neurosurgery, Shizuoka General Hospital, Shizuoka, Japan
| | - Sen Yamagata
- Department of Neurosurgery, Kurashiki Central Hospital, Okayama, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University School of Medicine, Kyoto, Japan
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43
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Migrino RQ, Bowers M, Harmann L, Prost R, LaDisa JF. Carotid plaque regression following 6-month statin therapy assessed by 3T cardiovascular magnetic resonance: comparison with ultrasound intima media thickness. J Cardiovasc Magn Reson 2011; 13:37. [PMID: 21812992 PMCID: PMC3166901 DOI: 10.1186/1532-429x-13-37] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2011] [Accepted: 08/03/2011] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) allows volumetric carotid plaque measurement that has advantage over 2-dimensional ultrasound (US) intima-media thickness (IMT) in evaluating treatment response. We tested the hypothesis that 6-month statin treatment in patients with carotid plaque will lead to plaque regression when measured by 3 Tesla CMR but not by IMT. METHODS Twenty-six subjects (67 ± 2 years, 7 females) with known carotid plaque (> 1.1 mm) and coronary or cerebrovascular atherosclerotic disease underwent 3T CMR (T1, T2, proton density and time of flight sequences) and US at baseline and following 6 months of statin therapy (6 had initiation, 7 had increase and 13 had maintenance of statin dosing). CMR plaque volume (PV) was measured in the region 12 mm below and up to 12 mm above carotid flow divider using software. Mean posterior IMT in the same region was measured. Baseline and 6-month CMR PV and US IMT were compared. Change in lipid rich/necrotic core (LR/NC) and calcification plaque components from CMR were related to change in PV. RESULTS Low-density lipoprotein cholesterol decreased (86 ± 6 to 74 ± 4 mg/dL, p = 0.046). CMR PV decreased 5.8 ± 2% (1036 ± 59 to 976 ± 65 mm3, p = 0.018). Mean IMT was unchanged (1.12 ± 0.06 vs. 1.14 ± 0.06 mm, p = NS). Patients with initiation or increase of statins had -8.8 ± 2.8% PV change (p = 0.001) while patients with maintenance of statin dosing had -2.7 ± 3% change in PV (p = NS). There was circumferential heterogeneity in CMR plaque thickness with greatest thickness in the posterior carotid artery, in the region opposite the flow divider. Similarly there was circumferential regional difference in change of plaque thickness with significant plaque regression in the anterior carotid region in region of the flow divider. Change in LR/NC (R = 0.62, p = 0.006) and calcification (R = 0.45, p = 0.03) correlated with PV change. CONCLUSIONS Six month statin therapy in patients with carotid plaque led to reduced plaque volume by 3T CMR, but ultrasound posterior IMT did not show any change. The heterogeneous spatial distribution of plaque and regional differences in magnitude of plaque regression may explain the difference in findings and support volumetric measurement of plaque. 3T CMR has potential advantage over ultrasound IMT to assess treatment response in individuals and may allow reduced sample size, duration and cost of clinical trials of plaque regression.
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MESH Headings
- Aged
- Aged, 80 and over
- Carotid Artery Diseases/blood
- Carotid Artery Diseases/diagnosis
- Carotid Artery Diseases/diagnostic imaging
- Carotid Artery Diseases/drug therapy
- Carotid Artery Diseases/pathology
- Carotid Artery, Common/diagnostic imaging
- Carotid Artery, Common/drug effects
- Carotid Artery, Common/pathology
- Female
- Humans
- Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use
- Image Interpretation, Computer-Assisted
- Lipids/blood
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Necrosis
- Plaque, Atherosclerotic/blood
- Plaque, Atherosclerotic/diagnosis
- Plaque, Atherosclerotic/diagnostic imaging
- Plaque, Atherosclerotic/drug therapy
- Plaque, Atherosclerotic/pathology
- Predictive Value of Tests
- Prospective Studies
- Time Factors
- Treatment Outcome
- Tunica Intima/diagnostic imaging
- Tunica Intima/drug effects
- Tunica Intima/pathology
- Tunica Media/diagnostic imaging
- Tunica Media/drug effects
- Tunica Media/pathology
- Ultrasonography
- Vascular Calcification/diagnosis
- Vascular Calcification/drug therapy
- Wisconsin
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Affiliation(s)
- Raymond Q Migrino
- Department of Medicine, Marquette University, 1120 W. Wisconsin Avenue, Wilwaukee, WI 53233, USA
- Radiology Department, Medical College of Wisconsin, 8701 Watertown Plank Road | Milwaukee, WI 53226, USA
- Cardiology Department, Phoenix Veterans Affairs Health Care System, 650 E. Indian School Rd., Phoenix, AZ 85012-1892, USA
| | - Mark Bowers
- Department of Medicine, Marquette University, 1120 W. Wisconsin Avenue, Wilwaukee, WI 53233, USA
| | - Leanne Harmann
- Department of Medicine, Marquette University, 1120 W. Wisconsin Avenue, Wilwaukee, WI 53233, USA
| | - Robert Prost
- Radiology Department, Medical College of Wisconsin, 8701 Watertown Plank Road | Milwaukee, WI 53226, USA
| | - John F LaDisa
- Department of Medicine, Marquette University, 1120 W. Wisconsin Avenue, Wilwaukee, WI 53233, USA
- Biomedical Engineering Department, Marquette University, 1120 W. Wisconsin Avenue, Wilwaukee, WI 53233, USA
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Kraff O, Bitz AK, Breyer T, Kruszona S, Maderwald S, Brote I, Gizewski ER, Ladd ME, Quick HH. A Transmit/Receive Radiofrequency Array for Imaging the Carotid Arteries at 7 Tesla. Invest Radiol 2011; 46:246-54. [DOI: 10.1097/rli.0b013e318206cee4] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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45
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Chen H, Li F, Zhao X, Yuan C, Rutt B, Kerwin WS. Extended graphical model for analysis of dynamic contrast-enhanced MRI. Magn Reson Med 2011; 66:868-78. [DOI: 10.1002/mrm.22819] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2010] [Revised: 12/13/2010] [Accepted: 12/14/2010] [Indexed: 12/31/2022]
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Zhu DC, Vu AT, Ota H, DeMarco JK. An optimized 3D spoiled gradient recalled echo pulse sequence for hemorrhage assessment using inversion recovery and multiple echoes (3D SHINE) for carotid plaque imaging. Magn Reson Med 2011; 64:1341-51. [PMID: 20574968 DOI: 10.1002/mrm.22517] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Intraplaque hemorrhage into the carotid atherosclerotic plaque has been shown to create instability and progression. We have developed an optimized 3D Spoiled Gradient recalled echo pulse sequence for Hemorrhage assessment using INversion recovery and multiple Echoes (3D SHINE) for carotid plaque imaging. The sequence was developed by incorporating multiecho acquisition to its clinically validated optimized single-echo counterpart 3D inversion recovery prepared fast spoiled gradient recalled sequence. With similar scan time (4 min), 3D spoiled gradient recalled echo pulse sequence for hemorrhage assessment using inversion recovery and multiple echoes maintained comparable high-resolution volumetric coverage, black-blood effect, contrast, signal-to-noise and contrast-to-noise ratios, and similar sensitivity and specificity in detecting whether intraplaque hemorrhage was present on an artery. The multiple echoes acquired with 3D SHINE allowed the estimation of intraplaque hemorrhage T*(2) and then the subsequent characterization of intraplaque hemorrhage (T*(2) for type I < 14 msec, and for type II > 14 msec). The type I intraplaque hemorrhage size estimated by 3D SHINE was significantly and positively correlated with the size estimated manually by an expert reviewer using the histology-validated multicontrast MRI technique (r = 0.836 ± 0.080, p < 0.001). With only one fast sequence, 3D SHINE can detect and characterize intraplaque hemorrhage that has previously required a multicontrast approach using a combination of black-blood T(1)-weighted, black-blood T(2)-weighted, and time-of-flight imaging techniques.
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Affiliation(s)
- David C Zhu
- Department of Radiology, Michigan State University, East Lansing, Michigan 48824, USA.
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47
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Chen H, Cai J, Zhao X, Underhill H, Ota H, Oikawa M, Dong L, Yuan C, Kerwin WS. Localized measurement of atherosclerotic plaque inflammatory burden with dynamic contrast-enhanced MRI. Magn Reson Med 2011; 64:567-73. [PMID: 20665799 DOI: 10.1002/mrm.22369] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Inflammation plays an important role in progression and rupture of atherosclerotic plaque. Dynamic contrast-enhanced MRI has been proposed as a tool to evaluate inflammation in vivo by measuring the transfer constant and partial plasma volume, which are influenced by inflammation. This study sought to demonstrate the ability of dynamic contrast-enhanced MRI to provide localized measurements of transfer constant and partial plasma volume within plaque regions of different compositions. In order to do that, a highly automatic procedure for localized measurement of dynamic contrast-enhanced MRI parameters was developed. In 47 subjects, the average transfer constant and partial plasma volume were highest in loose matrix and fibrous tissue and substantially lower in intraplaque hemorrhage, lipid rich/necrotic core, and calcification. In addition, except for hemorrhage and calcification, statistically significant differences of transfer constant and partial plasma volume were observed for any pair of these components. This suggests that transfer constant and partial plasma volume could be helpful to differentiate different plaque components and that dynamic contrast-enhanced MRI has the potential to assess inflammatory burden in specific regions.
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Affiliation(s)
- Huijun Chen
- Department of Radiology, University of Washington, Seattle, Washington, USA
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48
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Abstract
Vessel wall imaging of large vessels has the potential to identify culprit atherosclerotic plaques that lead to cardiovascular events. Comprehensive assessment of atherosclerotic plaque size, composition, and biological activity is possible with magnetic resonance imaging (MRI). Magnetic resonance imaging of the atherosclerotic plaque has demonstrated high accuracy and measurement reproducibility for plaque size. The accuracy of in vivo multicontrast MRI for identification of plaque composition has been validated against histological findings. Magnetic resonance imaging markers of plaque biological activity such as neovasculature and inflammation have been demonstrated. In contrast to other plaque imaging modalities, MRI can be used to study multiple vascular beds noninvasively over time. In this review, we compare the status of in vivo plaque imaging by MRI to competing imaging modalities. Recent MR technological improvements allow fast, accurate, and reproducible plaque imaging. An overview of current MRI techniques required for carotid plaque imaging including hardware, specialized pulse sequences, and processing algorithms are presented. In addition, the application of these techniques to coronary, aortic, and peripheral vascular beds is reviewed.
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49
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Du J, Corbeil J, Znamirowski R, Angle N, Peterson M, Bydder GM, Kahn AM. Direct imaging and quantification of carotid plaque calcification. Magn Reson Med 2010; 65:1013-20. [PMID: 21413065 DOI: 10.1002/mrm.22682] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2010] [Revised: 09/10/2010] [Accepted: 09/19/2010] [Indexed: 11/09/2022]
Abstract
Carotid plaque calcification normally appears as a signal void with clinical MR sequences. Here, we describe the use of an adiabatic inversion recovery prepared two-dimensional ultrashort echo time sequence to image and characterize carotid plaque calcification using a clinical 3-T scanner. T(1), T 2*, and free water content were measured for seven carotid samples, and the results were compared with micro-CT imaging. Conventional gradient echo and fast spin echo images were also acquired for comparison. Correlations between T(1), T 2*, free water concentration, and mineral density were performed. There was a close correspondence between inversion recovery prepared two-dimensional ultrashort echo time morphologic and micro-CT appearances. Carotid plaque calcification varied significantly from sample to sample, with T(1) s ranging from 94 ± 19 to 328 ± 21 msec, T 2*s ranging from 0.31 ± 0.12 to 2.15 ± 0.25 msec, and free water concentration ranging from 5.7 ± 2.3% to 16.8 ± 3.4%. There was a significant positive correlation between T(1)(R = 0.709; P < 0.074), T 2* (R = 0.816; P < 0.025), and free water concentration, a negative correlation between T(1) (R = 0.773; P < 0.042), T 2* (R = 0.948; P < 0.001) and CT measured mineral density, and a negative correlation between free water concentration (R = 0.936; P < 0.002) and mineral density.
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Affiliation(s)
- Jiang Du
- Department of Radiology, University of California, San Diego, California 92103-8226, USA.
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50
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Dong L, Wang J, Yarnykh VL, Underhill HR, Neradilek MB, Polissar N, Hatsukami TS, Yuan C. Efficient flow suppressed MRI improves interscan reproducibility of carotid atherosclerosis plaque burden measurements. J Magn Reson Imaging 2010; 32:452-8. [PMID: 20677277 DOI: 10.1002/jmri.22274] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To determine if better flow suppression can meaningfully improve the reproducibility of measurements associated with carotid atherosclerotic disease, particularly for lumen and wall areas. MATERIALS AND METHODS Eighteen subjects with carotid artery stenosis identified by duplex ultrasound (11 with 16%-49% stenosis; 7 with 50%-79% stenosis) underwent two carotid magnetic resonance imaging (MRI) examinations on a 3T scanner with a 4-channel phased array coil. High-resolution intermediate-weighted TSE (TR/TE = 4000/8.5 msec, 0.55 mm in-plane resolution, 2 mm slice thickness, 16 slices, 3-minute scan time) with two different flow-suppression techniques (multislice double inversion recovery [mDIR] and motion-sensitized driven-equilibrium [MSDE]) were obtained separately. For each subject, bilateral arteries were reviewed. One radiologist blinded to timepoints, flow suppression techniques, and clinical information measured the arterial lumen area, wall area, and total vessel wall area. RESULTS Compared to mDIR, the MSDE technique had a smaller interscan standard deviation (SD) in lumen (SD: 3.6 vs. 5.2 mm(2), P = 0.02), wall area measurements (SD: 4.5 vs. 6.4 mm(2), P = 0.02), and a trend towards smaller SD in total vessel area measurement (SD: 4.4 vs. 4.9 mm(2), P = 0.07). CONCLUSION The results from this study demonstrate that vessel wall imaging could quantify atherosclerotic plaque measurements more reliably with an improved blood suppression technique. This relationship between flow-suppression efficiency and reproducibility of plaque measurements is important, as more reliable area measurements will be useful in clinical diagnosis and in serial MRI studies that monitor carotid atherosclerotic lesion progression and regression.
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Affiliation(s)
- Li Dong
- Department of Radiology, University of Washington, Seattle, Washington 98109, USA
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