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Jayanandaiah A, Ayyappan A, Paramasivan NK, Narasimhaiah D, Sreedharan SE, Thulaseedharan JV, Sylaja PN. Diagnostic accuracy of carotid plaque magnetic resonance imaging compared to histopathology in symptomatic carotid artery stenosis. J Clin Neurosci 2024; 128:110802. [PMID: 39163700 DOI: 10.1016/j.jocn.2024.110802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/10/2024] [Accepted: 08/13/2024] [Indexed: 08/22/2024]
Abstract
INTRODUCTION Vulnerable plaques have been shown to predict ipsilateral cerebral ischemic events and identifying them leads to appropriate secondary stroke prevention strategies. We evaluated the diagnostic accuracy of MR carotid plaque imaging in identifying plaque vulnerability when compared with histopathological findings in patients with symptomatic carotid stenosis who underwent carotid endarterectomy (CEA). METHODS A prospective cohort of forty-five consecutive patients with moderate to severe symptomatic carotid stenosis who underwent CEA at a tertiary Indian hospital had 3 T MRI plaque imaging with multi-parametric protocol between November 2021 and December 2022. Images were analyzed by a vascular radiologist blinded to histopathological data. High-risk plaque characteristics such as lipid rich necrotic core (LRNC), intraplaque hemorrhage (IPH), thin fibrous cap and ulceration were assessed and correlated with histopathological findings as per American Heart Association (AHA) classification using Cohen's kappa statistics to obtain diagnostic accuracies. RESULTS Of the 45 patients, 38(84 %) were males. The mean age was 65 ± 7.7 years and mean duration to CEA from the most recent event was 57 days (57 ± 46 days). A significant correlation between MR plaque imaging and histopathology was noted for IPH (sensitivity-91 %, specificity-86 %, κ = 0.774, p < 0.001), LRNC (sensitivity-92.1 %, specificity-85.7 %, κ = 0.697, p < 0.001), and plaque ulceration (sensitivity-84.6 %, specificity-78.1 %, κ = 0.563, p < 0.001). MRI had an overall sensitivity and specificity of 92.3 % and 84.2 % respectively (κ = 0.77, p < 0.001) in discriminating high risk plaques. CONCLUSION MR plaque imaging shows a very good correlation with histopathology and can identify unstable high-risk plaques with high accuracy. This may have implication in selection of patients for carotid revascularization in symptomatic carotid stenosis.
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Affiliation(s)
- Akash Jayanandaiah
- Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Anoop Ayyappan
- Department of Imaging Science and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Naveen K Paramasivan
- Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Deepthi Narasimhaiah
- Department of Pathology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Sapna E Sreedharan
- Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Jissa V Thulaseedharan
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - P N Sylaja
- Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
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Koori N, Kamekawa H, Naito T, Takatsu Y, Fuse H, Miyakawa S, Yasue K, Takahashi M, Kurata K. Carotid and aortic plaque imaging using 3D gradient-echo imaging and the three-point Dixon method with improved motion-sensitized driven-equilibrium (iMSDE). Magn Reson Imaging 2024; 111:202-209. [PMID: 38547936 DOI: 10.1016/j.mri.2024.03.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/19/2024] [Accepted: 03/25/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND We devised a method that combines the 3D-Dixon-gradientecho (GRE) method with an improved motion-sensitized driven-equilibrium (iMSDE) to suppress blood flow signals. PURPOSE The purpose of this study was to evaluate the effectiveness of the new method we developed plaque imaging method (3D-Dixon-GRE with the iMSDE method). STUDY TYPE Retrospective cohort. POPULATION Thirty-nine patients who underwent cervical plaque imaging. FIELD STRENGTH/SEQUENCE 3.0 T/3D-GRE. ASSESSMENT Signal intensities of the common carotid artery, aorta, plaque, muscle, and subcutaneous fat were measured through the VISTA and the 3D-Dixon-GRE with iMSDE methods, and each contrast was calculated. STATISTICAL TEST Used the Mann Whitney U test. P-values below 0.05 were considered statistically significant. RESULTS Plaque and muscle contrast estimated through the VISTA method and 3D-Dixon-GRE with iMSDE method was 1.60 ± 0.96 and 2.04 ± 1.06, respectively, (P < 0.05). The contrast between the flow (common carotid artery and Aorta) and muscle according to the VISTA method and 3D-Dixon-GRE with iMSDE method was 0.24 ± 0.11 and 0.40 ± 0.12, respectively (P < 0.001). Finally, the mean contrast for subcutaneous fat and muscle at six locations was 3.05 ± 1.25 and 0.81 ± 0.23 for the VISTA method and 3D-Dixon-GRE with the iMSDE method, respectively (P < 0.001). DATA CONCLUSION Compared to the conventional method (VISTA), the 3D-Dixon-GRE with iMSDE method is preferable in relation to the fat suppression effect, but it is disadvantageous regarding blood flow signal suppression. Therefore, the 3D-Dixon-GRE with the iMSDE method could be considered useful for plaque imaging.
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Affiliation(s)
- Norikazu Koori
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences 4669-2 Ami, Ibaraki 300-03, Japan; Division of Health Sciences, Kanazawa University Graduate School of Medical Sciences, 5-11-80 Kodatsuno, Kanazawa, Ishikawa 920-0942, Japan.
| | - Hiroki Kamekawa
- Department of Radiology, Komaki City Hospital, 1-20 Jyoubushi, Komaki, Aichi 485-8520, Japan
| | - Takehiro Naito
- Department of Neurosurgery, Komaki City Hospital, 1-20 Jyoubushi, Komaki, Aichi 485-8520, Japan
| | - Yasuo Takatsu
- Division of Health Sciences, Kanazawa University Graduate School of Medical Sciences, 5-11-80 Kodatsuno, Kanazawa, Ishikawa 920-0942, Japan; School of Medical Sciences, Fujita Health University, Molecular Imaging, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
| | - Hiraku Fuse
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences 4669-2 Ami, Ibaraki 300-03, Japan
| | - Shin Miyakawa
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences 4669-2 Ami, Ibaraki 300-03, Japan
| | - Kenji Yasue
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences 4669-2 Ami, Ibaraki 300-03, Japan
| | - Masato Takahashi
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences 4669-2 Ami, Ibaraki 300-03, Japan
| | - Kazuma Kurata
- Department of Radiology, Komaki City Hospital, 1-20 Jyoubushi, Komaki, Aichi 485-8520, Japan
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Yuan C, Canton G, Hatsukami TS. Unfinished debate: Why IPH-based metrics are still needed-An Editorial for "Signal intensity and volume of carotid intraplaque hemorrhage on magnetic resonance imaging and the risk of ipsilateral cerebrovascular events: the Plaque At RISK (PARISK) study". J Cardiovasc Magn Reson 2024; 26:101071. [PMID: 39121951 PMCID: PMC11421226 DOI: 10.1016/j.jocmr.2024.101071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Affiliation(s)
- Chun Yuan
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA; Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Gador Canton
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington, Seattle, Washington, USA
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Shahbaz R, Charpentier E, Ponnaiah M, Deshours F, Kokabi H, Brochériou I, Le Naour G, Redheuil A, Koskas F, Davaine JM. In vitro analysis of carotid lesions using a preliminary microwave sensor to detect vulnerable plaques: Correlation with histology, Duplex ultrasound examination, and computed tomography scanner: The Imaging and Microwave Phenotyping Assessment of Carotid stenosis Threat (IMPACT) study. JVS Vasc Sci 2023; 5:100182. [PMID: 38384784 PMCID: PMC10879004 DOI: 10.1016/j.jvssci.2023.100182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/03/2023] [Indexed: 02/23/2024] Open
Abstract
Objective Progress in best medical treatment have made identification of best candidates for carotid surgery more difficult. New diagnostic modalities could be helpful in this perspective. Microwaves (MWs) can quantify dielectric properties (complex relative permittivity) of biological tissues and MW technology has emerged as a promising field of research for distinguishing abnormal tissues from healthy ones. We here evaluated the ability of a dedicated MW sensor developed in our laboratory to identify vulnerable carotid lesions. Methods We included 50 carotid lesions in this study. The plaques were analyzed and classified preoperatively by ultrasound (US) examination, computed tomography angiography and tested postoperatively using a MW sensor. Histopathological analysis was used as a gold standard to separate vulnerable plaques (VPs) from nonvulnerable plaques (NVPs). Results VPs were more frequently types 2 or 3 plaques (on US examination), had a greater proportion of low (<60 Hounsfield unit) and moderate (60-130 Hounsfield unit) attenuation components (computed tomography angiography) and displayed higher dielectric constant values (MW) than NVPs, which had an opposite profile. NVPs were more frequently asymptomatic plaques compared with VPs (P = .035). Multivariate analysis showed that US examination and MW identified VPs with a sensitivity of 77% and a specificity of 76% (cutoff value, -0.045; area under the curve, 0.848; P < .0001). Conclusions We found that the presence of types 2 to 3 (on US examination) and high dielectric constant plaques in vitro was highly indicative of a VP based on histological analysis. Further studies are needed to determine the potential of MW to identify the most dangerous asymptomatic carotid lesions.
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Affiliation(s)
- Rania Shahbaz
- Sorbonne Université, CNRS UMR8507, Laboratoire Génie Électrique et Électronique de Paris (GeePs), Paris, France
| | - Etienne Charpentier
- Sorbonne Université, Unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d’Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Paris, France
| | - Maharajah Ponnaiah
- IHU ICAN, Foundation for Innovation in Cardiometabolism and Nutrition, Pitié Salpêtrière Hospital, Paris, France
| | - Frédérique Deshours
- Sorbonne Université, CNRS UMR8507, Laboratoire Génie Électrique et Électronique de Paris (GeePs), Paris, France
| | - Hamid Kokabi
- Sorbonne Université, CNRS UMR8507, Laboratoire Génie Électrique et Électronique de Paris (GeePs), Paris, France
| | | | - Gilles Le Naour
- Sorbonne Université, CNRS UMR8507, Laboratoire Génie Électrique et Électronique de Paris (GeePs), Paris, France
| | - Alban Redheuil
- Sorbonne Université, Unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d’Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, Paris, France
| | - Fabien Koskas
- Department of Vascular and Endovascular Surgery, Pitié-Salpêtrière University Hospital, Paris, France
| | - Jean-Michel Davaine
- Medicine Faculty, Sorbonne Université, Paris, France
- Department of Vascular and Endovascular Surgery, Pitié-Salpêtrière University Hospital, Paris, France
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Benson JC, Saba L, Bathla G, Brinjikji W, Nardi V, Lanzino G. MR Imaging of Carotid Artery Atherosclerosis: Updated Evidence on High-Risk Plaque Features and Emerging Trends. AJNR Am J Neuroradiol 2023; 44:880-888. [PMID: 37385681 PMCID: PMC10411837 DOI: 10.3174/ajnr.a7921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/14/2023] [Indexed: 07/01/2023]
Abstract
MR imaging is well-established as the criterion standard for carotid artery atherosclerosis imaging. The capability of MR imaging to differentiate numerous plaque components has been demonstrated, including those features that are associated with a high risk of sudden changes, thrombosis, or embolization. The field of carotid plaque MR imaging is constantly evolving, with continued insight into the imaging appearance and implications of various vulnerable plaque characteristics. This article will review the most up-to-date knowledge of these high-risk plaque features on MR imaging and will delve into 2 major emerging topics: the role of vulnerable plaques in cryptogenic strokes and the potential use of MR imaging to modify carotid endarterectomy treatment guidelines.
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Affiliation(s)
- J C Benson
- From the Departments of Radiology (J.C.B., G.B., W.B.)
| | - L Saba
- Department of Medical Sciences (L.S.), University of Cagliari, Cagliari, Italy
| | - G Bathla
- From the Departments of Radiology (J.C.B., G.B., W.B.)
| | - W Brinjikji
- From the Departments of Radiology (J.C.B., G.B., W.B.)
| | - V Nardi
- Cardiovascular Medicine (V.N.)
| | - G Lanzino
- Neurosurgery (G.L.), Mayo Clinic, Rochester, Minnesota
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Benson JC, Shahid A, Larson AS, Brinjikji W, Nasr D, Saba L, Lanzino G, Savastano LE. Intraplaque hemorrhage on magnetic resonance angiography: How often do signal abnormalities persist on follow-up imaging? Clin Neurol Neurosurg 2023; 229:107744. [PMID: 37119658 DOI: 10.1016/j.clineuro.2023.107744] [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: 02/11/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND AND PURPOSE Intraplaque hemorrhage (IPH) in carotid atherosclerosis demonstrates increased signal on magnetic resonance angiography images. Little remains known about how this signal changes on subsequent examinations. MATERIALS AND METHODS A retrospective observational study was completed of patients that had IPH on a neck MRA between 1/1/2016 and 3/25/2021, defined as ≥ 200 % signal intensity of the sternocleidomastoid muscle on MPRAGE images. Examinations were excluded if the patients had undergone carotid endarterectomy between examinations or had poor quality imaging. IPH volumes were calculated by manually outlining IPH components. Up to 2 subsequent MRAs, if available, were assessed for both the presence and volume of IPH. RESULTS 102 patients were included, of which 90 (86.5 %) were male. IPH was on the right in 48 patients (average volume = 174.0 mm3), and on the left in 70 patients (average volume 186.9 mm3). 22 had at least one follow-up (average 444.7 days between exams), and 6 had two follow-up MRAs (average 489.5 days between exams). On the first follow-up, 19 (86.4 %) plaques had persistent hyperintense signal in the region of IPH. The second follow-up showed persistent signal in 5/6 plaques (88.3 %). Combined volume of IPH from right and left carotid arteries did not significantly decrease on the first follow-up exam (p = 0.08). CONCLUSIONS IPH usually retains hyperintense signal on follow-up MRAs, possibly representing recurrent hemorrhage or degraded blood products.
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Affiliation(s)
- John C Benson
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
| | - Adnan Shahid
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Deena Nasr
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Luca Saba
- Department of Medical Imaging, Azienda Ospedaliero Universitaria of Cagliari-Polo di Monserrato, Cagliari, Italy
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Larson AS, Brinjikji W, Lekah A, Klaas JP, Lanzino G, Huston J, Saba L, Benson JC. Nonstenotic Carotid Plaques and Embolic Stroke of Undetermined Source: A Multimodality Review. AJNR Am J Neuroradiol 2023; 44:118-124. [PMID: 36549844 PMCID: PMC9891333 DOI: 10.3174/ajnr.a7750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/10/2022] [Indexed: 12/24/2022]
Abstract
Symptomatic nonstenotic carotid artery disease has been increasingly recognized as a thromboembolic source in patients who would otherwise be classified as having embolic stroke of undetermined source. Evidence suggests that certain plaque features seen on sonography, CT, and MR imaging in nonstenotic carotid artery disease may predispose to recurrent stroke in patients with embolic stroke of undetermined source. We performed a focused literature review to further study plaque features in the context of embolic stroke of undetermined source and to determine which plaque features may be associated with ipsilateral ischemic events in such patients. Plaque thickness as seen on both ultrasound and CT appears to have a consistent association with ipsilateral stroke in patients with embolic stroke of undetermined source across multiple studies. Intraplaque hemorrhage as seen on MR imaging is now understood to have a strong association with ipsilateral stroke in patients with embolic stroke of undetermined source. Continued study of various plaque features as seen on different modalities is warranted to uncover other potential associations.
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Affiliation(s)
- A S Larson
- From the Departments of Radiology (A.S.L., W.B., A.L., G.L., J.H., J.C.B.)
| | - W Brinjikji
- From the Departments of Radiology (A.S.L., W.B., A.L., G.L., J.H., J.C.B.)
- Neurosurgery (W.B., G.L.)
| | - A Lekah
- From the Departments of Radiology (A.S.L., W.B., A.L., G.L., J.H., J.C.B.)
| | - J P Klaas
- Neurology (J.P.K.), Mayo Clinic, Rochester, Minnesota
| | - G Lanzino
- From the Departments of Radiology (A.S.L., W.B., A.L., G.L., J.H., J.C.B.)
- Neurosurgery (W.B., G.L.)
| | - J Huston
- From the Departments of Radiology (A.S.L., W.B., A.L., G.L., J.H., J.C.B.)
| | - L Saba
- Department of Medical Sciences (L.S.), University of Cagliari, Cagliari, Italy
| | - J C Benson
- From the Departments of Radiology (A.S.L., W.B., A.L., G.L., J.H., J.C.B.)
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Zhu Y, Chen L, Lu W, Gong Y, Wang X. The application of the nnU-Net-based automatic segmentation model in assisting carotid artery stenosis and carotid atherosclerotic plaque evaluation. Front Physiol 2022; 13:1057800. [PMID: 36561211 PMCID: PMC9763590 DOI: 10.3389/fphys.2022.1057800] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 11/11/2022] [Indexed: 12/12/2022] Open
Abstract
Objective: No new U-net (nnU-Net) is a newly-developed deep learning neural network, whose advantages in medical image segmentation have been noticed recently. This study aimed to investigate the value of the nnU-Net-based model for computed tomography angiography (CTA) imaging in assisting the evaluation of carotid artery stenosis (CAS) and atherosclerotic plaque. Methods: This study retrospectively enrolled 93 CAS-suspected patients who underwent head and neck CTA examination, then randomly divided them into the training set (N = 70) and the validation set (N = 23) in a 3:1 ratio. The radiologist-marked images in the training set were used for the development of the nnU-Net model, which was subsequently tested in the validation set. Results: In the training set, the nnU-Net had already displayed a good performance for CAS diagnosis and atherosclerotic plaque segmentation. Then, its utility was further confirmed in the validation set: the Dice similarity coefficient value of the nnU-Net model in segmenting background, blood vessels, calcification plaques, and dark spots reached 0.975, 0.974 0.795, and 0.498, accordingly. Besides, the nnU-Net model displayed a good consistency with physicians in assessing CAS (Kappa = 0.893), stenosis degree (Kappa = 0.930), the number of calcification plaque (Kappa = 0.922), non-calcification (Kappa = 0.768) and mixed plaque (Kappa = 0.793), as well as the max thickness of calcification plaque (intraclass correlation coefficient = 0.972). Additionally, the evaluation time of the nnU-Net model was shortened compared with the physicians (27.3 ± 4.4 s vs. 296.8 ± 81.1 s, p < 0.001). Conclusion: The automatic segmentation model based on nnU-Net shows good accuracy, reliability, and efficiency in assisting CTA to evaluate CAS and carotid atherosclerotic plaques.
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Affiliation(s)
- Ying Zhu
- First Clinical Medical College, Soochow University, Suzhou, China
| | - Liwei Chen
- Department of Radiology, School of Medicine, Tongren Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wenjie Lu
- Department of Radiology, School of Medicine, Tongren Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yongjun Gong
- Department of Radiology, School of Medicine, Tongren Hospital, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Yongjun Gong, ; Ximing Wang,
| | - Ximing Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China,*Correspondence: Yongjun Gong, ; Ximing Wang,
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Jia Y, Liu X, Zhang L, Kong X, Chen S, Zhang L, Wang J, Shu S, Liu J, Fu X, Liu D, Wang J, Shi H. Integrated head and neck imaging of symptomatic patients with stroke using simultaneous non-contrast cardiovascular magnetic resonance angiography and intraplaque hemorrhage imaging as compared with digital subtraction angiography. J Cardiovasc Magn Reson 2022; 24:19. [PMID: 35307027 PMCID: PMC8935695 DOI: 10.1186/s12968-022-00849-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 02/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Both stenosis rate and intraplaque hemorrhage (IPH) are important predictors of stroke risk. Simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) cardiovascular magnetic resonance (CMR) imaging can detect both stenosis rate and IPH. We aimed to evaluate consistency between SNAP and digital subtraction angiography (DSA) to assess symptomatic patients with stroke and explore the performance of SNAP to identify IPH and the clinical factors associated with IPH. METHODS Eighty-one symptomatic patients with stroke, admitted to Wuhan Union Hospital who underwent CMR high-resolution vessel wall imaging (HR-VWI) and SNAP, were retrospectively identified. For patients who received interventional therapy, the imaging functions of SNAP and HR-VWI were compared with DSA. The diameters of the intracranial and carotid vessels were measured, and stenotic vessels were identified. The consistency of SNAP and HR-VWI in identifying IPH was also examined, and the correlations between IPH and clinical factors were analyzed. RESULTS SNAP was more consistent with DSA than HR-VWI in measuring vascular stenosis (intraclass correlation coefficient [ICC]SNAP-DSA = 0.917, ICC HR-VWI-DSA = 0.878). Regarding the diameter measurements of each intracranial and carotid vessel segment, SNAP was superior or similar to HR-VWI, and both were consistent with DSA in the measurement of major intracranial vascular segments. HR-VWI and SNAP exhibited acceptable agreement in identifying IPH (Kappa = 0.839, 95% confidence interval [CI]: 0.704-0.974). Patients who underwent interventional therapy had a higher plaque burden (P < 0.001). Patients with IPH had lower levels of high-density lipoprotein cholesterol (HDL) (P = 0.038) and higher levels of blood glucose (P = 0.007) and cystatin C (P = 0.040). CONCLUSIONS CMR SNAP is consistent with DSA in measuring vessel diameters and identifying atherosclerosis stenosis in each intracranial and carotid vessel segment. SNAP is also a potential alternative to HR-VWI in identifying stenosis and IPH.
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Affiliation(s)
- Yuxi Jia
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xiaoming Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Lan Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xiangchuang Kong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Haidian District, Beijing, China
| | - Lei Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiazheng Wang
- Clinical & Technical Solutions, Philips Healthcare, Beijing, China
| | - Shenglei Shu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Jia Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xiaona Fu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Dingxi Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Jing Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
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Podlasek A, Simpson RJ. Another Step toward the Understanding of Carotid Artery Pathology. AJNR Am J Neuroradiol 2021; 42:1291-1292. [PMID: 33888453 DOI: 10.3174/ajnr.a7137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- A Podlasek
- National Institute for Health Research Nottingham Biomedical Research CentreUniversity of NottinghamNottingham, United KingdomClinical RadiologyNottingham University Hospitals National Health Service TrustNottingham, United Kingdom
| | - R J Simpson
- Department of Vascular and Endovascular SurgeryNottingham University Hospitals National Health Service TrustNottingham, United Kingdom
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