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Kassem M, Gorissen T, Albenwan M, Bierens J, van Dam-Nolen DHK, Liem MI, Hofman PAM, Wildberger JE, Hendrikse J, Mess W, Nederkoorn PJ, Bos D, Nelemans P, van Oostenbrugge RJ, Kooi ME. The relationship between fibrous cap status or plaque surface morphology and intraplaque hemorrhage volume over time: The PARISK Study. J Stroke Cerebrovasc Dis 2025; 34:108283. [PMID: 40081118 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108283] [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: 12/16/2024] [Revised: 03/06/2025] [Accepted: 03/07/2025] [Indexed: 03/15/2025] Open
Abstract
BACKGROUND Carotid intraplaque hemorrhage (IPH) is a strong predictor of stroke, but factors contributing to IPH development are incompletely understood. Therefore, we investigate the longitudinal relationship between a thin/ruptured fibrous cap (TRFC)/disrupted plaque surface and IPH volume. METHODS 116 ischemic TIA/stroke patients with ipsilateral carotid plaques underwent baseline and two-year follow-up MRI. IPH and fibrous cap status (thick versus TRFC) on MRI and disruption of the plaque surface (smooth versus fissure/ulceration) on CTA were assessed. RESULTS In the TRFC and disrupted plaque surface groups, the median IPH volume (tended) to decrease during follow-up (baseline: 97.3 IQR: [3.2-193.3] mm3 versus follow-up: 29.7 [0.0-115.1] mm3, p = 0.09, and baseline: 25.1 [0.0-166.2] mm3 versus follow-up: 11.2 [0.0-68.3] mm3, p = 0.04, respectively). In the group with a thick fibrous cap/smooth plaque surface, the median IPH volumes were zero at baseline and follow-up. The risk of IPH progression was higher in the TRFC/disrupted plaque groups (risk ratio (RR): 2.9 and 2.0, respectively) than in patients with a thick fibrous cap/smooth plaque surface. CONCLUSION TIA/stroke patients with a TRFC/disrupted plaque showed a net decrease in IPH volume over time, indicating plaque healing in some patients, but patients with a TRFC/disrupted plaque are still at increased risk for IPH progression. TRIAL REGISTRATION ClinicalTrials.gov NCT01208025.
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Affiliation(s)
- Mohamed Kassem
- CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Tahnee Gorissen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Mohammad Albenwan
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Juul Bierens
- CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Madieke I Liem
- Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| | - Paul A M Hofman
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joachim E Wildberger
- CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Werner Mess
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Patty Nelemans
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Robert J van Oostenbrugge
- CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M Eline Kooi
- CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
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2
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Song J, Zou L, Li Y, Wang X, Qiu J, Gong K. Combining artificial intelligence assisted image segmentation and ultrasound based radiomics for the prediction of carotid plaque stability. BMC Med Imaging 2025; 25:89. [PMID: 40098096 PMCID: PMC11917087 DOI: 10.1186/s12880-025-01621-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Accepted: 02/26/2025] [Indexed: 03/19/2025] Open
Abstract
PURPOSE Utilizing artificial intelligence (AI) technology for the segmentation of plaques on ultrasound images to evaluate the stability of carotid artery plaques and analyze its diagnostic accuracy in differentiating vulnerable plaques from stable ones. METHODS A retrospective study was conducted on 202 patients with ischemic stroke, who were divided into vulnerable plaque group (85 cases) and stable plaque group (117 cases) based on the results of carotid color Doppler ultrasound examination. From the vulnerable plaque group, 63 cases were randomly selected as the modeling group and 22 cases as the validation group; similarly, from the stable plaque group, 87 cases were randomly selected as the modeling group and 30 cases as the validation group. Based on the ultrasound images of the modeling group, plaques were segmented using artificial intelligence technology, and 1414 radiomics features were extracted. These features were then subjected to dimensionality reduction and feature selection using the least absolute shrinkage and selection operator (LASSO) method. Subsequently, a Support Vector Machine (SVM) model was constructed and validated using the selected features. The sensitivity, specificity, and Area Under the Curve (AUC) of the model were evaluated through the analysis of the receiver operating characteristic (ROC) curve. RESULTS A total of 43 radiomics feature parameters were selected by the LASSO method. The training group for the SVM model had an AUC of 89.42% (95% CI: 80.74-98.10%), sensitivity of 79.84%, and specificity of 93.10%, while the validation group had an AUC of 82.73% (95% CI: 71.64-93.81%), sensitivity of 81.82%, and specificity of 80.00%. CONCLUSION The use of artificial intelligence technology for the segmentation of plaques in ultrasound images, coupled with the analysis of radiomics models, can efficiently distinguish the stability of carotid artery plaques, providing a diagnostic basis for the clinical prediction of ischemic stroke. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Jiajia Song
- Department of Physical Diagnosis, Affiliated Nanjing Brain Hospital, Nanjing Medical University, No. 264, Guangzhou Road, Gulou District, Nanjing, Jiangsu, 210008, China
| | - Liwen Zou
- School of Mathematics, Nanjing University, Nanjing, 210093, China
| | - Yu Li
- School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - Xiaoyin Wang
- Department of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210008, China
| | - Junlan Qiu
- Department of Ultrasound Medicine, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, 210000, China.
| | - Kailin Gong
- Department of Physical Diagnosis, Affiliated Nanjing Brain Hospital, Nanjing Medical University, No. 264, Guangzhou Road, Gulou District, Nanjing, Jiangsu, 210008, China.
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Jezovnik MK, Poredos P, Poredos P. Benefits of prophylactic carotid revascularization in patients with asymptomatic carotid artery stenosis undergoing coronary artery bypass surgery: A narrative review. Vasc Med 2025; 30:93-102. [PMID: 39462235 DOI: 10.1177/1358863x241291450] [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: 10/29/2024]
Abstract
Patients undergoing coronary artery bypass grafting (CABG) are at increased risk of perioperative stroke. Carotid atherosclerosis has been identified as an independent risk factor for stroke during and in the early postoperative period of cardiac surgery. However, the pathogenesis of peri-CABG stroke is multifactorial and frequently involves other noncarotid causes, such as cardiac emboli and aortic atheroma. Therefore, routine population-wide screening of carotid stenosis is not recommended, but target screening of patients at high risk of carotid-related perioperative stroke can have benefits. Carotid duplex sonography is recommended as an initial screening tool. Elimination of carotid stenosis before cardiac surgery is indicated in patients in whom carotid atherosclerosis is suspected to be the primary contributor to perioperative stroke. In patients with advanced carotid atherosclerosis, an individualized revascularization approach, including simultaneous or staged procedures, is advocated. The prevailing consensus is that synchronous surgery is safer than staged procedures. Carotid artery stenting represents a less invasive alternative, but its role in high-risk patients requires further investigation. In conclusion, the risk of perioperative stroke in patients undergoing CABG involves different factors, and carotid artery stenosis is involved in its pathogenesis only in some patients. Therefore, individualized approaches and careful consideration of patient risk factors are essential in determining the need for carotid screening and revascularization before CABG.
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Affiliation(s)
- Mateja Kaja Jezovnik
- Department of Advanced Cardiopulmonary Therapies and Transplantation, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Pavel Poredos
- Department of Vascular Disease, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Peter Poredos
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Anaesthesiology and Surgical Intensive Care, University Medical Centre Ljubljana, Ljubljana, Slovenia
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4
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Aizaz M, Bierens J, Gijbels MJJ, Schreuder THCML, van Orshoven NP, Daemen JWHC, Mess WH, Flohr T, van Oostenbrugge RJ, Postma AA, Kooi ME. Differentiation of Atherosclerotic Carotid Plaque Components With Dual-Energy Computed Tomography. Invest Radiol 2025:00004424-990000000-00284. [PMID: 39836610 DOI: 10.1097/rli.0000000000001153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2025]
Abstract
OBJECTIVES Carotid plaque vulnerability is a strong predictor of recurrent ipsilateral stroke, but differentiation of plaque components using conventional computed tomography (CT) is suboptimal. The aim of our study was to evaluate the ability of dual-energy CT (DECT) to characterize atherosclerotic carotid plaque components based on the effective atomic number and effective electron density using magnetic resonance imaging (MRI) and, where possible, histology as the reference standard. MATERIALS AND METHODS Patients with recent cerebral ischemia and a ≥2-mm carotid plaque underwent computed tomography angiography and MRI. A subgroup underwent carotid endarterectomy. Trained observers delineated plaque components on histology or MRI, independent of computed tomography angiography. DECT was coregistered with MRI and/or histology. Intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous tissue, and calcifications were delineated on DECT, and ρeff and Zeff values were determined in the derivation cohort (n = 55). Spatial separation of these components was evaluated in a ρeff-Zeff-cluster plot. Ranges that optimally differentiate plaque features were determined. For validation, plaque components were quantified in the validation cohort (n = 29) using these ρeff-Zeff ranges and literature-based Hounsfield unit (HU) ranges and correlated to MRI volumes. RESULTS Eighty-four participants (68 ± 8 years; 55 male) were evaluated. In the derivation cohort, plaque components were well separated on the cluster plot, resulting in the following ranges: IPH:ρeff < 1.15, Zeff < 7.5, LRNC:ρeff < 1.15, Zeff:7.5-8.75, fibrous tissue:ρeff < 1.15, Zeff > 8.75, and calcifications: ρeff > 1.15, Zeff > 0. In the validation cohort, significant correlations were found between ρeff-Zeff-based and MRI plaque volumes for fibrous tissue (r = 0.69, P < 0.001), LRNC (r = 0.94, P < 0.001), IPH (r = 0.35, P = 0.03), and calcifications (r = 0.70, P < 0.001). Lower correlations were found between HU-based and MRI plaque volumes for fibrous tissue (r = 0.40, P = 0.02), LRNC (r = 0.86, P < 0.001), and calcifications (r = 0.47, P = 0.005), with no correlation for IPH (r = 0.02, P = 0.45). CONCLUSIONS We determined ρeff-Zeff ranges for plaque assessment. ρeff-Zeff-based volumes showed strong-to-very strong correlations with MRI for LRNC, fibrous tissue, and calcifications and a weak correlation for IPH. ρeff-Zeff-based volumes demonstrated superior agreement with MRI for all plaque components compared with HU-based volumes, highlighting the potential of DECT for the identification of patients with vulnerable plaques.
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Affiliation(s)
- Mueez Aizaz
- From the Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands (M.A., J.B., T.F., A.A.P., M.E.K.); CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands (M.A., J.B., M.J.J.G., W.H.M., R.J.v.O., M.E.K.); Department of Pathology, Maastricht University Medical Center, Maastricht, the Netherlands (M.J.J.G.); Department of Medical Biochemistry, Amsterdam Cardiovascular Sciences: Atherosclerosis & Ischemic Syndrome; Amsterdam Infection and Immunity: Inflammatory Diseases; Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands (M.J.J.G.); Department of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands (T.H.C.M.L.S.); Department of Neurology, Zuyderland Medical Center, Sittard, the Netherlands (N.P.v.O.); Department of Vascular Surgery, Maastricht University Medical Center, Maastricht, the Netherlands (J.-W.H.C.D.); Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands (W.H.M.); Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands (R.J.v.O.); and School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands (A.A.P.)
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Barkas F, Sener YZ, Golforoush PA, Kheirkhah A, Rodriguez-Sanchez E, Novak J, Apellaniz-Ruiz M, Akyea RK, Bianconi V, Ceasovschih A, Chee YJ, Cherska M, Chora JR, D'Oria M, Demikhova N, Kocyigit Burunkaya D, Rimbert A, Macchi C, Rathod K, Roth L, Sukhorukov V, Stoica S, Scicali R, Storozhenko T, Uzokov J, Lupo MG, van der Vorst EPC, Porsch F. Advancements in risk stratification and management strategies in primary cardiovascular prevention. Atherosclerosis 2024; 395:117579. [PMID: 38824844 DOI: 10.1016/j.atherosclerosis.2024.117579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/29/2024] [Accepted: 05/14/2024] [Indexed: 06/04/2024]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality worldwide, highlighting the urgent need for advancements in risk assessment and management strategies. Although significant progress has been made recently, identifying and managing apparently healthy individuals at a higher risk of developing atherosclerosis and those with subclinical atherosclerosis still poses significant challenges. Traditional risk assessment tools have limitations in accurately predicting future events and fail to encompass the complexity of the atherosclerosis trajectory. In this review, we describe novel approaches in biomarkers, genetics, advanced imaging techniques, and artificial intelligence that have emerged to address this gap. Moreover, polygenic risk scores and imaging modalities such as coronary artery calcium scoring, and coronary computed tomography angiography offer promising avenues for enhancing primary cardiovascular risk stratification and personalised intervention strategies. On the other hand, interventions aiming against atherosclerosis development or promoting plaque regression have gained attention in primary ASCVD prevention. Therefore, the potential role of drugs like statins, ezetimibe, proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, omega-3 fatty acids, antihypertensive agents, as well as glucose-lowering and anti-inflammatory drugs are also discussed. Since findings regarding the efficacy of these interventions vary, further research is still required to elucidate their mechanisms of action, optimize treatment regimens, and determine their long-term effects on ASCVD outcomes. In conclusion, advancements in strategies addressing atherosclerosis prevention and plaque regression present promising avenues for enhancing primary ASCVD prevention through personalised approaches tailored to individual risk profiles. Nevertheless, ongoing research efforts are imperative to refine these strategies further and maximise their effectiveness in safeguarding cardiovascular health.
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Affiliation(s)
- Fotios Barkas
- Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece.
| | - Yusuf Ziya Sener
- Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | | | - Azin Kheirkhah
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elena Rodriguez-Sanchez
- Division of Cardiology, Department of Medicine, Department of Physiology, and Molecular Biology Institute, UCLA, Los Angeles, CA, USA
| | - Jan Novak
- 2(nd) Department of Internal Medicine, St. Anne's University Hospital in Brno and Faculty of Medicine of Masaryk University, Brno, Czech Republic; Department of Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Maria Apellaniz-Ruiz
- Genomics Medicine Unit, Navarra Institute for Health Research - IdiSNA, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Ralph Kwame Akyea
- Centre for Academic Primary Care, School of Medicine, University of Nottingham, United Kingdom
| | - Vanessa Bianconi
- Department of Medicine and Surgery, University of Perugia, Italy
| | - Alexandr Ceasovschih
- Internal Medicine Department, Grigore T. Popa University of Medicine and Pharmacy, Iasi, Romania
| | - Ying Jie Chee
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore
| | - Mariia Cherska
- Cardiology Department, Institute of Endocrinology and Metabolism, Kyiv, Ukraine
| | - Joana Rita Chora
- Unidade I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; Universidade de Lisboa, Faculdade de Ciências, BioISI - Biosystems & Integrative Sciences Institute, Lisboa, Portugal
| | - Mario D'Oria
- Division of Vascular and Endovascular Surgery, Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Nadiia Demikhova
- Sumy State University, Sumy, Ukraine; Tallinn University of Technology, Tallinn, Estonia
| | | | - Antoine Rimbert
- Nantes Université, CNRS, INSERM, l'institut du Thorax, Nantes, France
| | - Chiara Macchi
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy
| | - Krishnaraj Rathod
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Barts Interventional Group, Barts Heart Centre, St. Bartholomew's Hospital, London, United Kingdom
| | - Lynn Roth
- Laboratory of Physiopharmacology, University of Antwerp, Antwerp, Belgium
| | - Vasily Sukhorukov
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Petrovsky National Research Centre of Surgery, Moscow, Russia
| | - Svetlana Stoica
- "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania; Institute of Cardiovascular Diseases Timisoara, Timisoara, Romania
| | - Roberto Scicali
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Tatyana Storozhenko
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Department of Prevention and Treatment of Emergency Conditions, L.T. Malaya Therapy National Institute NAMSU, Kharkiv, Ukraine
| | - Jamol Uzokov
- Republican Specialized Scientific Practical Medical Center of Therapy and Medical Rehabilitation, Tashkent, Uzbekistan
| | | | - Emiel P C van der Vorst
- Institute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University, 52074, Aachen, Germany; Aachen-Maastricht Institute for CardioRenal Disease (AMICARE), RWTH Aachen University, 52074, Aachen, Germany; Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians-University Munich, 80336, Munich, Germany; Interdisciplinary Center for Clinical Research (IZKF), RWTH Aachen University, 52074, Aachen, Germany
| | - Florentina Porsch
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
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Rajan T, M G, K S, L E. Association Between Calculated Small Dense Low-Density Lipoprotein Cholesterol (sdLDL-C) and Soft Carotid Plaques on CT Angiogram of the Head and Neck. Cureus 2024; 16:e65292. [PMID: 39184631 PMCID: PMC11343439 DOI: 10.7759/cureus.65292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Cerebrovascular accident (CVA), also commonly known as stroke, is an acute condition characterized by jeopardized perfusion of the brain tissue. Atherosclerosis is a common converging point for the various risk factors for CVA. It is a chronic, evolving condition of the vessel wall characterized by peculiar lesions known as atheromas. Low-density lipoprotein cholesterol (LDL-C) has been one of the established and traditional risk factors for the development of plaques in atherosclerosis. Small dense LDL-C (sdLDL-C) is a subclass of LDL-C that is considered more atherogenic, and its role in atherosclerotic plaque formation has been very well established. Hence, in this study, we aimed to find the association between calculated sdLDL-C and atherosclerotic carotid plaque (including various plaque characteristics). MATERIALS AND METHODS This retrospective cross-sectional study was conducted at Sri Ramachandra Medical College and Research Institute between December 2022 and December 2023 after getting ethics approval from the Institutional Ethics Committee. Patients who underwent CT angiogram (312) were included in the study, and their lipid profile data were collected from the Laboratory Information System. Participants were divided into groups depending on the presence or absence of carotid plaque, the characteristics of the plaque, and the narrowing caused by the plaque. sdLDL-C was calculated using Sampson formula from the lipid parameters in these groups. Statistical analysis was done using SPSS Statistics version 16.0 (SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.). A p-value of <0.05 was considered significant. RESULTS sdLDL-C was significantly higher in the plaque group (37.25 ± 13.69 mg/dL) when compared to the group without plaques on CT angiogram (34.09 ± 11.64 mg/dL) (p<0.05), wherein the LDL-C wasn't significantly different between the two groups. sdLDL-C was also elevated in the soft plaque sub-group (39.46 ± 13.63 mg/dL) when compared to the calcific plaque sub-group (35.41 ± 13.05 mg/dL), which was statistically significant (p<0.05). CONCLUSION sdLDL-C is associated with atherosclerotic carotid plaques, especially the soft plaques on CT angiogram, which are considered to be vulnerable plaques. Thus, calculated sdLDL-C can be utilized as a cost-effective tool to assess plaque vulnerability and monitor hypolipidemic treatment in addition to LDL-C.
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Affiliation(s)
- Thulasi Rajan
- Biochemistry, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
| | - Ganesh M
- Biochemistry, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
| | - Sowmya K
- Biochemistry, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
| | - Easwar L
- Radiodiagnosis, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
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7
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Nies KPH, Aizaz M, van Dam-Nolen DHK, Goring TCD, Schreuder TAHCML, van Orshoven NP, Postma AA, Bos D, Hendrikse J, Nederkoorn P, van der Geest R, van Oostenbrugge RJ, Mess WH, Kooi ME. 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; 26:101049. [PMID: 38878969 PMCID: PMC11282977 DOI: 10.1016/j.jocmr.2024.101049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/17/2024] [Accepted: 06/06/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND The Plaque At RISK (PARISK) study demonstrated that patients with a carotid plaque with intraplaque hemorrhage (IPH) have an increased risk of recurrent ipsilateral ischemic cerebrovascular events. It was previously reported that symptomatic carotid plaques with IPH showed higher IPH signal intensity ratios (SIR) and larger IPH volumes than asymptomatic plaques. We explored whether IPH SIR and IPH volume are associated with future ipsilateral ischemic cerebrovascular events beyond the presence of IPH. METHODS Transient ischemic attack and ischemic stroke patients with mild-to-moderate carotid stenosis and an ipsilateral IPH-positive carotid plaque (n = 89) from the PARISK study were included. The clinical endpoint was a new ipsilateral ischemic cerebrovascular event during 5 years of follow-up, while the imaging-based endpoint was a new ipsilateral brain infarct on brain magnetic resonance imaging (MRI) after 2 years (n = 69). Trained observers delineated IPH, a hyperintense region compared to surrounding muscle tissue on hyper T1-weighted magnetic resonance images. The IPH SIR was the maximal signal intensity in the IPH region divided by the mean signal intensity of adjacent muscle tissue. The associations between IPH SIR or volume and the clinical and imaging-based endpoint were investigated using Cox proportional hazard models and logistic regression, respectively. RESULTS During 5.1 (interquartile range: 3.1-5.6) years of follow-up, 21 ipsilateral cerebrovascular ischemic events were identified. Twelve new ipsilateral brain infarcts were identified on the 2-year neuro MRI. There was no association for IPH SIR or IPH volume with the clinical endpoint (hazard ratio (HR): 0.89 [95% confidence interval: 0.67-1.10] and HR: 0.91 [0.69-1.19] per 100-µL increase, respectively) nor with the imaging-based endpoint (odds ratio (OR): 1.04 [0.75-1.45] and OR: 1.21 [0.87-1.68] per 100-µL increase, respectively). CONCLUSION IPH SIR and IPH volume were not associated with future ipsilateral ischemic cerebrovascular events. Therefore, quantitative assessment of IPH of SIR and volume does not seem to provide additional value beyond the presence of IPH for stroke risk assessment. TRIAL REGISTRATION The PARISK study was registered on ClinicalTrials.gov with ID NCT01208025 on September 21, 2010 (https://clinicaltrials.gov/study/NCT01208025).
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Affiliation(s)
- Kelly P H Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mueez Aizaz
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Neurology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Timothy C D Goring
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | | | - Narender P van Orshoven
- Department of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands; Department of Neurology, Zuyderland Medical Center, Sittard, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs) Maastricht University, Maastricht, the Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jeroen Hendrikse
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Paul Nederkoorn
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Rob van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Robert J van Oostenbrugge
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Werner H Mess
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Clinical Neurophysiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - M Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
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Meddings Z, Rundo L, Sadat U, Zhao X, Teng Z, Graves MJ. Robustness and classification capabilities of MRI radiomic features in identifying carotid plaque vulnerability. Br J Radiol 2024; 97:1118-1124. [PMID: 38711198 PMCID: PMC11135795 DOI: 10.1093/bjr/tqae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 01/18/2024] [Accepted: 03/07/2024] [Indexed: 05/08/2024] Open
Abstract
OBJECTIVES To assess how radiomic features may be combined with plaque morphological and compositional features identified by multi-contrast MRI to improve upon conventional risk assessment models in determining culprit carotid artery lesions. METHODS Fifty-five patients (mean age: 62.6; 35 males) with bilateral carotid stenosis who experienced transient ischaemic attack (TIA) or stroke were included from the CARE-II multi-centre carotid imaging trial (ClinicalTrials.gov Identifier: NCT02017756). They underwent MRI within 2 weeks of the event. Classification capability in distinguishing culprit lesions was assessed by machine learning. Repeatability and reproducibility of the results were investigated by assessing the robustness of the radiomic features. RESULTS Radiomics combined with a relatively conventional plaque morphological and compositional metric-based model provided incremental value over a conventional model alone (area under curve [AUC], 0.819 ± 0.002 vs 0.689 ± 0.019, respectively, P = .014). The radiomic model alone also provided value over the conventional model (AUC, 0.805 ± 0.003 vs 0.689 ± 0.019, respectively, P = .031). T2-weighted imaging-based radiomic features had consistently higher robustness and classification capabilities compared with T1-weighted images. Higher-dimensional radiomic features outperformed first-order features. Grey Level Co-occurrence Matrix, Grey Level Dependence Matrix, and Grey Level Size Zone Matrix sub-types were particularly useful in identifying textures which could detect vulnerable lesions. CONCLUSIONS The combination of MRI-based radiomic features and lesion morphological and compositional parameters provided added value to the reference-standard risk assessment for carotid atherosclerosis. This may improve future risk stratification for individuals at risk of major adverse ischaemic cerebrovascular events. ADVANCES IN KNOWLEDGE The clinical relevance of this work is that it addresses the need for a more comprehensive method of risk assessment for patients at risk of ischaemic stroke, beyond conventional stenosis measurement. This paper shows that in the case of carotid stroke, high-dimensional radiomics features can improve classification capabilities compared with stenosis measurement alone.
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Affiliation(s)
- Zakaria Meddings
- Department of Radiology, University of Cambridge, Cambridge, CB2 0QQ, United Kingdom
| | - Leonardo Rundo
- Department of Radiology, University of Cambridge, Cambridge, CB2 0QQ, United Kingdom
- Department of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, 84084 Fisciano SA, Italy
| | - Umar Sadat
- Department of Vascular Surgery, Lister Hospital, East and North Hertfordshire NHS Trust, Stevenage, SG1 4AB, United Kingdom
- Cambridge Mathematics of Information in Healthcare, University of Cambridge, Cambridge, CB3 0WA, United Kingdom
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Zhongzhao Teng
- Department of Radiology, University of Cambridge, Cambridge, CB2 0QQ, United Kingdom
- Tenoke Ltd, Cambridge, CB1 3RR, United Kingdom
- Nanjing Jingsan Medical Science and Technology, Jiangsu, 211166, China
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge, CB2 0QQ, United Kingdom
- Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, United Kingdom
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Guimarães J, de Almeida J, Mendes PL, Ferreira MJ, Gonçalves L. Advancements in non-invasive imaging of atherosclerosis: Future perspectives. J Clin Lipidol 2024; 18:e142-e152. [PMID: 38142178 DOI: 10.1016/j.jacl.2023.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 12/25/2023]
Abstract
Atherosclerosis is a chronic inflammatory disease characterized by the buildup of plaques in arterial walls, leading to cardiovascular diseases and high morbidity and mortality rates worldwide. Non-invasive imaging techniques play a crucial role in evaluating patients with suspected or established atherosclerosis. However, there is a growing body of evidence suggesting the need to visualize the underlying processes of plaque progression and rupture to enhance risk stratification. This review explores recent advancements in non-invasive assessment of atherosclerosis, focusing on computed tomography, magnetic resonance imaging, and nuclear imaging. These advancements provide valuable insights into the assessment and management of atherosclerosis, potentially leading to better risk stratification and improved patient outcomes.
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Affiliation(s)
- Joana Guimarães
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal.
| | - José de Almeida
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal
| | - Paulo Lázaro Mendes
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal
| | - Maria João Ferreira
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal; Faculty of Medicine, Coimbra's University, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
| | - Lino Gonçalves
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal; Faculty of Medicine, Coimbra's University, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
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10
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Kassem M, Crombag GA, Stegers J, Liem MI, Koornstra E, Schreuder FH, van Dam-Nolen DH, Lucci C, van der Geest RJ, Daemen MJ, van der Steen AF, Hendrikse J, Mess WH, Bos D, Wildberger JE, van Oostenbrugge RJ, Nederkoorn PJ, Kooi ME. Association between Antiplatelet Therapy and Changes in Intraplaque Hemorrhage in Patients with Mild to Moderate Symptomatic Carotid Stenosis: A Longitudinal MRI Study. Cerebrovasc Dis 2023; 53:598-606. [PMID: 37984345 PMCID: PMC11446319 DOI: 10.1159/000535274] [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: 04/29/2023] [Accepted: 11/07/2023] [Indexed: 11/22/2023] Open
Abstract
INTRODUCTION Carotid atherosclerotic intraplaque hemorrhage (IPH) predicts stroke. Patients with a history of stroke are treated with antiplatelet agents to prevent secondary cardiovascular events. A positive association between previous antiplatelet use and IPH was reported in a cross-sectional analysis. We investigated the changes in IPH over 2 years in patients who recently started versus those with continued antiplatelet use. METHODS In the Plaque at Risk (PARISK) study, symptomatic patients with <70% ipsilateral carotid stenosis underwent carotid plaque magnetic resonance imaging (MRI) at the baseline and after 2 years to determine IPH presence and volume. Participants were categorized into new users (starting antiplatelet therapy following the index event) and continued users (previous use of antiplatelet therapy before the index event). The association between previous antiplatelet therapy and the presence of IPH at baseline MRI was investigated using multivariable logistic regression analysis. The IPH volume change over a period of 2 years, defined as the difference in volume between follow-up and baseline, was investigated in each group with a Wilcoxon signed-rank test. The IPH volume change was categorized as progression, regression, or no change. Using multivariable logistic regression, we investigated the association between new antiplatelet use and (1) newly developed ipsilateral or contralateral IPH and (2) IPH volume progression. RESULTS A total of 108 patients underwent carotid MRI at the baseline and follow-up. At the baseline, previous antiplatelet therapy was associated with any IPH (OR = 5.6, 95% CI: 1.3-23.1; p = 0.02). Ipsilateral IPH volume did not change significantly during the 2 years in patients who continued receiving antiplatelet agents (86.4 mm3 [18.2-235.9] vs. 59.3 mm3 [11.4-260.3]; p = 0.6) nor in the new antiplatelet users (n = 31) (61.5 mm3 [0.0-166.9] vs. 27.7 mm3 [9.5-106.4]; p = 0.4). Similar results of a nonsignificant change in contralateral IPH volume during those 2 years were observed in both groups (p > 0.05). No significant associations were found between new antiplatelet use and newly developed IPH at 2 years (odds ratio [OR] = 1.0, 95% CI: 0.1-7.4) or the progression of IPH (ipsilateral: OR = 2.4, 95% CI: 0.3-19.1; contralateral: OR = 0.3, 95% CI: 0.01-8.5). CONCLUSION Although the baseline association between IPH and previous antiplatelet therapy was confirmed in this larger cohort, the new onset of antiplatelet therapy after transient ischemic attack/stroke was not associated with the newly developed IPH or progression of IPH volume over the subsequent 2 years.
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Affiliation(s)
- Mohamed Kassem
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Geneviève A.J.C. Crombag
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jens Stegers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Madieke I. Liem
- Department of Neurology, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - Eline Koornstra
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Floris H.B.M. Schreuder
- Department of Neurology, Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dianne H.K. van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carlo Lucci
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rob J. van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mat J. Daemen
- Department of Pathology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Anton F.W. van der Steen
- Department of Biomedical Engineering, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Werner H. Mess
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joachim E. Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Robert J. van Oostenbrugge
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Paul J. Nederkoorn
- Department of Neurology, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
| | - M. Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
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11
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Kassem M, de Kam SS, van Velzen TJ, van der Geest R, Wagner B, Sokolska M, Pizzini FB, Nederkoorn PJ, Rolf Jäger H, Brown MM, van Oostenbrugge RJ, Bonati LH, Eline Kooi M. Application of mask images of contrast-enhanced MR angiography to detect carotid intraplaque hemorrhage in patients with moderate to severe symptomatic and asymptomatic carotid stenosis. Eur J Radiol 2023; 168:111145. [PMID: 37837923 DOI: 10.1016/j.ejrad.2023.111145] [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: 10/19/2022] [Revised: 12/21/2022] [Accepted: 10/05/2023] [Indexed: 10/16/2023]
Abstract
PURPOSE Carotid intraplaque hemorrhage (IPH) on MRI predicts stroke. Magnetization-prepared rapid acquisition gradient (MP-RAGE) is widely used to detect IPH. CE-MRA is used routinely to assess stenosis. Initial studies indicated that IPH can be identified on mask images of CE-MRA, while Time-of-Flight (TOF) images were reported to have high specificity but lower sensitivity. We investigated the diagnostic accuracy of detecting IPH on mask images of CE-MRA and TOF. METHODS Thirty-six patients with ≥ 50% stenosis enrolled in the ongoing 2nd European Carotid Surgery Trial underwent carotid MRI. A 5-point quality score was used. Inter-observer agreement between two independent readers was determined. The sensitivity and specificity of IPH detection on mask MRA and TOF were calculated with MP-RAGE as a reference standard. RESULTS Of the 36 patients included in the current analysis, 66/72 carotid arteries could be scored. The inter-observer agreements for identifying IPH on MP-RAGE, mask, and TOF were outstanding (κ: 0.93, 0.96, and 0.85). The image quality of mask (1.42 ± 0.66) and TOF (2.42 ± 0.66) was significantly lower than MP-RAGE (3.47 ± 0.61). When T1w images were used to delineate the outer carotid wall, very high specificities (>95%) of IPH detection on mask and TOF images were found, while the sensitivity was high for mask images (>81%) and poor for TOF (50-60%). Without these images, the specificity was still high (>97%), while the sensitivity reduced to 62-71%. CONCLUSION Despite the lower image quality, routinely acquired mask images from CE-MRA, but not TOF, can be used as an alternative to MP-RAGE images to visualize IPH.
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Affiliation(s)
- Mohamed Kassem
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Soraya S de Kam
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Twan J van Velzen
- Department of Neurology, Amsterdam UMC: De Boelelaan 1108, 1081 HV Amsterdam, the Netherlands
| | - Rob van der Geest
- Department of Radiology, Leiden University Medical Centre: Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Benjamin Wagner
- Department of Neurology, University Hospital Basel: Universitätsspital CH, Petersgraben 4, 4031 Basel, Switzerland
| | - Magdalena Sokolska
- Department of Imaging, University College London Hospitals NHS Foundation Trust: 250 Euston Rd, London NW1 2PG, UK; Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust: 250 Euston Rd, London NW1 2PG, UK
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona: Via S. Francesco, 22, 37129 Verona VR, Italy
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam UMC: De Boelelaan 1108, 1081 HV Amsterdam, the Netherlands
| | - H Rolf Jäger
- Department of Imaging, University College London Hospitals NHS Foundation Trust: 250 Euston Rd, London NW1 2PG, UK
| | - Martin M Brown
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London: Queen Square, London WC1N 3BG, UK
| | - Robert J van Oostenbrugge
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Leo H Bonati
- Department of Neurology, University Hospital Basel: Universitätsspital CH, Petersgraben 4, 4031 Basel, Switzerland
| | - M Eline Kooi
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands.
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12
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Kassem M, Nies KPH, Boswijk E, van der Pol J, Aizaz M, Gijbels MJJ, Li D, Bucerius J, Mess WH, Wildberger JE, van Oostenbrugge RJ, Moonen RPM, Fan Z, Kooi ME. Quantification of carotid plaque composition with a multi-contrast atherosclerosis characterization (MATCH) MRI sequence. Front Cardiovasc Med 2023; 10:1227495. [PMID: 37680565 PMCID: PMC10481960 DOI: 10.3389/fcvm.2023.1227495] [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: 05/23/2023] [Accepted: 07/18/2023] [Indexed: 09/09/2023] Open
Abstract
Background and purpose Carotid atherosclerotic plaques with a large lipid-rich necrotic core (LRNC), intraplaque hemorrhage (IPH), and a thin or ruptured fibrous cap are associated with increased stroke risk. Multi-sequence MRI can be used to quantify carotid atherosclerotic plaque composition. Yet, its clinical implementation is hampered by long scan times and image misregistration. Multi-contrast atherosclerosis characterization (MATCH) overcomes these limitations. This study aims to compare the quantification of plaque composition with MATCH and multi-sequence MRI. Methods MATCH and multi-sequence MRI were used to image 54 carotid arteries of 27 symptomatic patients with ≥2 mm carotid plaque on a 3.0 T MRI scanner. The following sequence parameters for MATCH were used: repetition time/echo time (TR/TE), 10.1/4.35 ms; field of view, 160 mm × 160 mm × 2 mm; matrix size, 256 × 256; acquired in-plane resolution, 0.63 mm2× 0.63 mm2; number of slices, 18; and flip angles, 8°, 5°, and 10°. Multi-sequence MRI (black-blood pre- and post-contrast T1-weighted, time of flight, and magnetization prepared rapid acquisition gradient echo; acquired in-plane resolution: 0.63 mm2 × 0.63 mm2) was acquired according to consensus recommendations, and image quality was scored (5-point scale). The interobserver agreement in plaque composition quantification was assessed by the intraclass correlation coefficient (ICC). The sensitivity and specificity of MATCH in identifying plaque composition were calculated using multi-sequence MRI as a reference standard. Results A significantly lower image quality of MATCH compared to that of multi-sequence MRI was observed (p < 0.05). The scan time for MATCH was shorter (7 vs. 40 min). Interobserver agreement in quantifying plaque composition on MATCH images was good to excellent (ICC ≥ 0.77) except for the total volume of calcifications and fibrous tissue that showed moderate agreement (ICC ≥ 0.61). The sensitivity and specificity of detecting plaque components on MATCH were ≥89% and ≥91% for IPH, ≥81% and 85% for LRNC, and ≥71% and ≥32% for calcifications, respectively. Overall, good-to-excellent agreement (ICC ≥ 0.76) of quantifying plaque components on MATCH with multi-sequence MRI as the reference standard was observed except for calcifications (ICC = 0.37-0.38) and fibrous tissue (ICC = 0.59-0.70). Discussion and conclusion MATCH images can be used to quantify plaque components such as LRNC and IPH but not for calcifications. Although MATCH images showed a lower mean image quality score, short scan time and inherent co-registration are significant advantages.
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Affiliation(s)
- Mohamed Kassem
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Kelly P. H. Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Ellen Boswijk
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam, Netherlands
| | - Jochem van der Pol
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Mueez Aizaz
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Marion J. J. Gijbels
- Department of Pathology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Amsterdam Infection and Immunity, Amsterdam UMC, Amsterdam, Netherlands
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Jan Bucerius
- Department of Nuclear Medicine, Georg-August University Göttingen, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Werner H. Mess
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Joachim E. Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Robert J. van Oostenbrugge
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Rik P. M. Moonen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Zhaoyang Fan
- Department of Radiology, University of Southern California, Los Angeles, CA, United States
| | - M. Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
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Chemaly M, Marlevi D, Iglesias MJ, Lengquist M, Kronqvist M, Bos D, van Dam-Nolen DHK, van der Kolk A, Hendrikse J, Kassem M, Matic L, Odeberg J, de Vries MR, Kooi ME, Hedin U. Biliverdin Reductase B Is a Plasma Biomarker for Intraplaque Hemorrhage and a Predictor of Ischemic Stroke in Patients with Symptomatic Carotid Atherosclerosis. Biomolecules 2023; 13:882. [PMID: 37371462 DOI: 10.3390/biom13060882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Intraplaque hemorrhage (IPH) is a hallmark of atherosclerotic plaque instability. Biliverdin reductase B (BLVRB) is enriched in plasma and plaques from patients with symptomatic carotid atherosclerosis and functionally associated with IPH. OBJECTIVE We explored the biomarker potential of plasma BLVRB through (1) its correlation with IPH in carotid plaques assessed by magnetic resonance imaging (MRI), and with recurrent ischemic stroke, and (2) its use for monitoring pharmacotherapy targeting IPH in a preclinical setting. METHODS Plasma BLVRB levels were measured in patients with symptomatic carotid atherosclerosis from the PARISK study (n = 177, 5 year follow-up) with and without IPH as indicated by MRI. Plasma BLVRB levels were also measured in a mouse vein graft model of IPH at baseline and following antiangiogenic therapy targeting vascular endothelial growth factor receptor 2 (VEGFR-2). RESULTS Plasma BLVRB levels were significantly higher in patients with IPH (737.32 ± 693.21 vs. 520.94 ± 499.43 mean fluorescent intensity (MFI), p = 0.033), but had no association with baseline clinical and biological parameters. Plasma BLVRB levels were also significantly higher in patients who developed recurrent ischemic stroke (1099.34 ± 928.49 vs. 582.07 ± 545.34 MFI, HR = 1.600, CI [1.092-2.344]; p = 0.016). Plasma BLVRB levels were significantly reduced following prevention of IPH by anti-VEGFR-2 therapy in mouse vein grafts (1189 ± 258.73 vs. 1752 ± 366.84 MFI; p = 0.004). CONCLUSIONS Plasma BLVRB was associated with IPH and increased risk of recurrent ischemic stroke in patients with symptomatic low- to moderate-grade carotid stenosis, indicating the capacity to monitor the efficacy of IPH-preventive pharmacotherapy in an animal model. Together, these results suggest the utility of plasma BLVRB as a biomarker for atherosclerotic plaque instability.
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Affiliation(s)
- Melody Chemaly
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - David Marlevi
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Maria-Jesus Iglesias
- Science for Life Laboratory, Department of Protein Science, School of Engineering Sciences in Chemistry/Biotechnology and Health, KTH Royal Institute of Technology, 11428 Stockholm, Sweden
| | - Mariette Lengquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Malin Kronqvist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Anja van der Kolk
- Department of Medical Imaging, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
- Department of Radiology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Mohamed Kassem
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Ljubica Matic
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Jacob Odeberg
- Science for Life Laboratory, Department of Protein Science, School of Engineering Sciences in Chemistry/Biotechnology and Health, KTH Royal Institute of Technology, 11428 Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Huddinge, 14152 Stockholm, Sweden
- Department of Clinical Medicine, UiT-The Arctic University of Norway, 9019 Tromsø, Norway
| | - Margreet R de Vries
- Einthoven Laboratory, Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Ulf Hedin
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
- Department of Vascular Surgery, Karolinska University Hospital, 17176 Stockholm, Sweden
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14
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Cau R, Gupta A, Kooi ME, Saba L. Pearls and Pitfalls of Carotid Artery Imaging: Ultrasound, Computed Tomography Angiography, and MR Imaging. Radiol Clin North Am 2023; 61:405-413. [PMID: 36931758 DOI: 10.1016/j.rcl.2023.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Stroke represents a major cause of morbidity and mortality worldwide with carotid atherosclerosis responsible for a large proportion of ischemic strokes. Given the high burden of the disease , early diagnosis and optimal secondary prevention are essential elements in clinical practice. For a long time, the degree of stenosis had been considered the parameter to judge the severity of carotid atherosclerosis. Over the last 30 years, literature has shifted attention from stenosis to structural characteristics of atherosclerotic lesion, eventually leading to the "vulnerable plaque" model. These "vulnerable plaques" frequently demonstrate high-risk imaging features that can be assessed by various non-invasive imaging modalities.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554, Monserrato, Cagliari 09045, Italy
| | - Ajay Gupta
- Department of Radiology Weill Cornell Medical College, New York, NY, USA
| | - Marianne Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554, Monserrato, Cagliari 09045, Italy.
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15
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Tang Y, Zhang J, Liu W, Jin W, Li S, Qian Z, Kong X, Zhang R, Hu J, Li B, Yuan W, Zhang Y. Analysis of carotid vulnerable plaque MRI high-risk features and clinical risk factors associated with concomitant acute cerebral infarction. BMC Cardiovasc Disord 2023; 23:173. [PMID: 36997869 PMCID: PMC10064680 DOI: 10.1186/s12872-023-03199-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 03/22/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND This study aimed to investigate the correlation between the high-risk characteristics of high-resolution MRI carotid vulnerable plaques and the clinical risk factors and concomitant acute cerebral infarction (ACI). METHODS Forty-five patients diagnosed with a single vulnerable carotid plaque by MRI were divided into two groups based on whether they had ipsilateral ACI. The clinical risk factors and the observation values or frequency of occurrence of high-risk MRI phenotypes of plaque volume, LRNC, IPH and ulcer were statistically compared between the two groups. RESULTS A total of 45 vulnerable carotid artery plaques were found in 45 patients, 23 patients with ACI and 22 patients without ACI. There were no significant differences in age, sex, smoking, serum TC, TG and LDL between the two groups (all P > 0.05), but the ACI group had significantly more patients with hypertension (P < 0.05) and the without ACI group coronary heart disease (P < 0.05). The volume of vulnerable carotid plaque in the group with ACI (1004.19 ± 663.57 mm3) was significantly larger than that in the group without ACI (487.21 ± 238.64 mm3) (P < 0.05). The phenotype of vulnerable carotid artery plaque was 13 cases of LRNC, 8 cases of LRNC + IPH, 5 cases of LRNC + Ulcer, and 19 cases of LRNC + IPH + Ulcer. There was no significant difference in this distribution between the two groups (all P > 0.05) with the exception of LRNC + IPH + Ulcer. The 14 cases of LRNC + IPH + LRNC + IPH + Ulcer (60.87%) in the group with ACI and was significantly greater than the 5 (22.73%) in patients without ACI (P < 0.05). CONCLUSION It is preliminarily thought that hypertension is the main clinical risk factor for vulnerable carotid plaques with ACI and the combination of plaque volume with vulnerable carotid plaque and LRNC + IPH + Ulcer is a high-risk factor for complicated ACI. It has high clinical therapeutic value due to the accurate diagnosis of responsible vessels and plaques with high-resolution MRI.
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Affiliation(s)
- Yongxiang Tang
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Jinping Zhang
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China.
| | - Weizhou Liu
- Department of Neurology, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Wei Jin
- Department of Neurology, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Shijian Li
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Zhen Qian
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Xiaoquan Kong
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Ran Zhang
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Juanjuan Hu
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Baolin Li
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Weiming Yuan
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
| | - Yifan Zhang
- Department of Medical Image Center, Tongling People's Hospital, Bijiashan Road 468, Tongling, 244000, Anhui, China
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16
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Weng ST, Lai QL, Cai MT, Wang JJ, Zhuang LY, Cheng L, Mo YJ, Liu L, Zhang YX, Qiao S. Detecting vulnerable carotid plaque and its component characteristics: Progress in related imaging techniques. Front Neurol 2022; 13:982147. [PMID: 36188371 PMCID: PMC9515377 DOI: 10.3389/fneur.2022.982147] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022] Open
Abstract
Carotid atherosclerotic plaque rupture and thrombosis are independent risk factors for acute ischemic cerebrovascular disease. Timely identification of vulnerable plaque can help prevent stroke and provide evidence for clinical treatment. Advanced invasive and non-invasive imaging modalities such as computed tomography, magnetic resonance imaging, intravascular ultrasound, optical coherence tomography, and near-infrared spectroscopy can be employed to image and classify carotid atherosclerotic plaques to provide clinically relevant predictors used for patient risk stratification. This study compares existing clinical imaging methods, and the advantages and limitations of different imaging techniques for identifying vulnerable carotid plaque are reviewed to effectively prevent and treat cerebrovascular diseases.
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Affiliation(s)
- Shi-Ting Weng
- The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, China
| | - Qi-Lun Lai
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Meng-Ting Cai
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jun-Jun Wang
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Li-Ying Zhuang
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Lin Cheng
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Ye-Jia Mo
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Lu Liu
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Yin-Xi Zhang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Yin-Xi Zhang
| | - Song Qiao
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
- Song Qiao
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17
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Abstract
Vessel wall MR imaging (VW-MRI) has been introduced into clinical practice and applied to a variety of diseases, and its usefulness has been reported. High-resolution VW-MRI is essential in the diagnostic workup and provides more information than other routine MR imaging protocols. VW-MRI is useful in assessing lesion location, morphology, and severity. Additional information, such as vessel wall enhancement, which is useful in the differential diagnosis of atherosclerotic disease and vasculitis could be assessed by this special imaging technique. This review describes the VW-MRI technique and its clinical applications in arterial disease, venous disease, vasculitis, and leptomeningeal disease.
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18
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Park SJ, Chan WY, Ng M, Chung YC, Chong TT, Bhakoo K, Chan JMS. Development of Molecular Magnetic Resonance Imaging Tools for Longitudinal Tracking of Carotid Atherosclerotic Disease Using Fast Imaging with Steady-State Precession. Transl Stroke Res 2022; 14:357-363. [PMID: 35856131 PMCID: PMC10159972 DOI: 10.1007/s12975-022-01067-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/31/2022] [Accepted: 07/13/2022] [Indexed: 11/25/2022]
Abstract
Identification of patients with high-risk asymptomatic carotid plaques remains a challenging but essential step in stroke prevention. Current selection criteria for intervention in carotid disease are still determined by symptomatology and degree of luminal stenosis. This strategy has been less effective in identifying the high-risk asymptomatic individual patients. Inflammation is the key factor that drives plaque instability causing clinical sequelae. Currently, there is no imaging tool in routine clinical practice to assess the inflammatory status within atherosclerotic plaques. Herein we describe the development of a novel molecular magnetic resonance imaging (MRI) strategy to interrogate plaque inflammation, and hence its vulnerability in vivo, using dual-targeted iron particle-based probes and fast imaging with steady-state precession (FISP) sequence, adding further prognostic information to luminal stenosis alone. A periarterial cuff was used to generate high-risk plaques at specific timepoints and location of the carotid artery in an apolipoprotein-E-deficient mouse model. Using this platform, we demonstrated that in vivo dual-targeted iron particles with enhanced FISP can (i) target and characterise high-risk vulnerable plaques and (ii) quantitatively report and track the inflammatory activity within carotid plaques longitudinally. This molecular imaging tool may permit (i) accurate monitoring of the risk of carotid plaques and (ii) timely identification of high-risk asymptomatic patients for prophylactic carotid intervention, achieving early stroke prevention.
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Affiliation(s)
- Sung-Jin Park
- Translational Cardiovascular Imaging Group, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Wan Ying Chan
- Division of Oncologic Imaging, National Cancer Centre, Singapore, Singapore
| | - Michael Ng
- Translational Cardiovascular Imaging Group, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | | | - Tze Tec Chong
- Department of Vascular Surgery, Singapore General Hospital, SingHealth, Singapore, Singapore
| | - Kishore Bhakoo
- Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Joyce M S Chan
- Translational Cardiovascular Imaging Group, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Vascular Surgery, Singapore General Hospital, SingHealth, Singapore, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
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19
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Jiang H, Ren K, Li T, Qian C, Gong S, Wang T, Zhu L. Correlation of the characteristics of symptomatic intracranial atherosclerotic plaques with stroke types and risk of stroke recurrence: a cohort study. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:658. [PMID: 35845483 PMCID: PMC9279796 DOI: 10.21037/atm-22-2586] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022]
Abstract
Background Symptomatic intracranial atherosclerotic stenosis (sICAS) patients had a higher risk of stroke recurrence, and the risk of acute ischemic stroke (AIS) was higher than transient ischemic attack (TIA). Therefore, it is important to explore the risk factors associated with sICAS clinical subtypes and the risk of stroke recurrence. The purpose of this study was to investigate the association between intracranial arterial culprit plaque characteristics with sICAS clinical subtypes and the risk of stroke recurrence. Methods A total of 206 patients with sICAS were included. Baseline demographic data and relevant serologic indices were collected from all participants. All participants were assessed by high-resolution vessel wall imaging (HR-VWI) for culprit vessel and culprit plaque characteristics. The follow-up method was outpatient or telephone follow-up. Associated factors for sICAS clinical subtypes were analyzed by binary logistic regression. Cox proportional hazard regression analysis were used to analysis the independent risk factors for recurrent stroke. Results In this group, there were 154 patients with AIS, 52 patients with TIA, 124 patients with anterior circulation ischemic symptom (ACiS), and 82 patients with posterior circulation ischemic symptom (PCiS). Male gender [odds ratio (OR) =5.575, 95% confidence interval (CI): 2.120 to 14.658], history of previous statin use (OR =0.309, 95% CI: 0.113 to 0.843) and serum apolipoprotein A/B values (OR =0.363, 95% CI: 0.139 to 0.948) were associated factors for AIS. A total of 24 patients (11.7%) experienced stroke recurrence during the 1-year follow-up period. Hyperintensity on T1 weighted imaging (T1WI) in the culprit plaque [hazard ratio (HR) =3.798, 95% CI: 1.433 to 10.062] was an independent risk factor for stroke recurrence. The incidence of significant enhancement (62.2% vs. 39.5%, χ2=9.681, P=0.002), positive remodeling (69.5% vs. 52.4%, χ2=5.661, P=0.020), and hyperintensity on T1WI (42.7% vs. 22.6%, χ2=16.472, P=0.003) was higher in the posterior circulation than in the anterior circulation. Conclusions The characteristics of intracranial arterial culprit plaques were independent risk factors for recurrent stroke, and there were differences in the plaque characteristics of anterior and posterior circulation. Early HR-VWI examination for sICAS patients is of great significance for patient risk stratification and personalized management.
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Affiliation(s)
- Huayun Jiang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Kaixuan Ren
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Tiantian Li
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Chengqun Qian
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Shenchu Gong
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Tianle Wang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Li Zhu
- Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China
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20
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Saba L, Antignani PL, Gupta A, Cau R, Paraskevas KI, Poredos P, Wasserman B, Kamel H, Avgerinos ED, Salgado R, Caobelli F, Aluigi L, Savastano L, Brown M, Hatsukami T, Hussein E, Suri JS, Mansilha A, Wintermark M, Staub D, Montequin JF, Rodriguez RTT, Balu N, Pitha J, Kooi ME, Lal BK, Spence JD, Lanzino G, Marcus HS, Mancini M, Chaturvedi S, Blinc A. International Union of Angiology (IUA) consensus paper on imaging strategies in atherosclerotic carotid artery imaging: From basic strategies to advanced approaches. Atherosclerosis 2022; 354:23-40. [DOI: 10.1016/j.atherosclerosis.2022.06.1014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 12/24/2022]
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21
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Zhang M, Xie Z, Long H, Ren K, Hou L, Wang Y, Xu X, Lei W, Yang Z, Ahmed S, Zhang H, Zhao G. Current advances in the imaging of atherosclerotic vulnerable plaque using nanoparticles. Mater Today Bio 2022; 14:100236. [PMID: 35341094 PMCID: PMC8943324 DOI: 10.1016/j.mtbio.2022.100236] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 02/13/2022] [Accepted: 03/05/2022] [Indexed: 01/29/2023]
Abstract
Vulnerable atherosclerotic plaques of the artery wall that pose a significant risk of cardio-cerebral vascular accidents remain the global leading cause of morbidity and mortality. Thus, early delineation of vulnerable atherosclerotic plaques is of clinical importance for prevention and treatment. The currently available imaging technologies mainly focus on the structural assessment of the vascular wall. Unfortunately, several disadvantages in these strategies limit the improvement in imaging effect. Nanoparticle technology is a novel diagnostic strategy for targeting and imaging pathological biomarkers. New functionalized nanoparticles that detect hallmarks of vulnerable plaques are promising for advance further control of this critical illness. The review aims to address the current opportunities and challenges for the use of nanoparticle technology in imagining vulnerable plaques.
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22
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Gimnich OA, Zil-E-Ali A, Brunner G. Imaging Approaches to the Diagnosis of Vascular Diseases. Curr Atheroscler Rep 2022; 24:85-96. [PMID: 35080717 PMCID: PMC11619728 DOI: 10.1007/s11883-022-00988-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Vascular imaging is a complex field including numerous modalities and imaging markers. This review is focused on important and recent findings in atherosclerotic carotid artery plaque imaging with an emphasis on developments in magnetic resonance imaging (MRI) and computed tomography (CT). RECENT FINDINGS Recent evidence shows that carotid plaque characteristics and not only established measures of carotid plaque burden and stenosis are associated independently with cardiovascular outcomes. On carotid MRI, the presence of a lipid-rich necrotic core (LRNC) has been associated with incident cardiovascular disease (CVD) events independent of wall thickness, a traditional measure of plaque burden. On carotid MRI, intraplaque hemorrhage (IPH) presence has been identified as an independent predictor of stroke. The presence of a fissured carotid fibrous cap has been associated with contrast enhancement on CT angiography imaging. Carotid artery plaque characteristics have been associated with incident CVD events, and advanced plaque imaging techniques may gain additional prominence in the clinical treatment decision process.
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Affiliation(s)
- Olga A Gimnich
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Ahsan Zil-E-Ali
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Gerd Brunner
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA.
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23
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Nies KPH, Smits LJM, Kassem M, Nederkoorn PJ, van Oostenbrugge RJ, Kooi ME. Emerging Role of Carotid MRI for Personalized Ischemic Stroke Risk Prediction in Patients With Carotid Artery Stenosis. Front Neurol 2021; 12:718438. [PMID: 34413828 PMCID: PMC8370465 DOI: 10.3389/fneur.2021.718438] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 07/09/2021] [Indexed: 01/04/2023] Open
Abstract
Rupture of a vulnerable carotid plaque is an important cause of ischemic stroke. Prediction models can support medical decision-making by estimating individual probabilities of future events, while magnetic resonance imaging (MRI) can provide detailed information on plaque vulnerability. In this review, prediction models for medium to long-term (>90 days) prediction of recurrent ischemic stroke among patients on best medical treatment for carotid stenosis are evaluated, and the emerging role of MRI of the carotid plaque for personalized ischemic stroke prediction is discussed. A systematic search identified two models; the European Carotid Surgery Trial (ECST) medical model, and the Symptomatic Carotid Atheroma Inflammation Lumen stenosis (SCAIL) score. We critically appraised these models by means of criteria derived from the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies) and PROBAST (Prediction model Risk Of Bias ASsessment Tool). We found both models to be at high risk of bias. The ECST model, the most widely used model, was derived from data of large but relatively old trials (1980s and 1990s), not reflecting lower risks of ischemic stroke resulting from improvements in drug treatment (e.g., statins and anti-platelet therapy). The SCAIL model, based on the degree of stenosis and positron emission tomography/computed tomography (PET/CT)-based plaque inflammation, was derived and externally validated in limited samples. Clinical implementation of the SCAIL model can be challenging due to high costs and low accessibility of PET/CT. MRI is a more readily available, lower-cost modality that has been extensively validated to visualize all the hallmarks of plaque vulnerability. The MRI methods to identify the different plaque features are described. Intraplaque hemorrhage (IPH), a lipid-rich necrotic core (LRNC), and a thin or ruptured fibrous cap (TRFC) on MRI have shown to strongly predict stroke in meta-analyses. To improve personalized risk prediction, carotid plaque features should be included in prediction models. Prediction of stroke in patients with carotid stenosis needs modernization, and carotid MRI has potential in providing strong predictors for that goal.
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Affiliation(s)
- Kelly P H Nies
- Department of Radiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Luc J M Smits
- Department of Epidemiology, Maastricht University, Maastricht, Netherlands
| | - Mohamed Kassem
- Department of Radiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Robert J van Oostenbrugge
- Department of Radiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - M Eline Kooi
- Department of Radiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
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24
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Florea A, Kooi ME, Mess W, Schurgers LJ, Bucerius J, Mottaghy FM. Effects of Combined Vitamin K2 and Vitamin D3 Supplementation on Na[ 18F]F PET/MRI in Patients with Carotid Artery Disease: The INTRICATE Rationale and Trial Design. Nutrients 2021; 13:nu13030994. [PMID: 33808652 PMCID: PMC8003489 DOI: 10.3390/nu13030994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/13/2021] [Accepted: 03/17/2021] [Indexed: 11/29/2022] Open
Abstract
INTRICATE is a prospective double-blind placebo-controlled feasibility study, assessing the influence of combined vitamin K2 and vitamin D3 supplementation on micro-calcification in carotid artery disease as imaged by hybrid Sodium [18F]Fluoride (Na[18F]F) positron emission tomography (PET)/ magnetic resonance imaging (MRI). Arterial calcification is an actively regulated process and results from the imbalance between calcification promoting and inhibiting factors. Considering the recent advancements in medical imaging, ultrasound (US), PET/MRI, and computed tomography (CT) can be used for the selection and stratification of patients with atherosclerosis. Fifty-two subjects with asymptomatic carotid artery disease on at least one side of the neck will be included in the study. At baseline, an Na[18F]F PET/MRI and CT examination will be performed. Afterwards, subjects will be randomized (1:1) to a vitamin K (400 µg MK-7/day) and vitamin D3 (80 µg/day) or to placebo. At the 3-month follow-up, subjects will undergo a second Na[18F]F PET/MRI and CT scan. The primary endpoint is the change in Na[18F]F PET/MRI (baseline vs. after 3 months) in the treatment group as compared to the placebo arm. Secondary endpoints are changes in plaque composition and in blood-biomarkers. The INTRICATE trial bears the potential to open novel avenues for future large scale randomized controlled trials to intervene in the plaque development and micro-calcification progression.
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Affiliation(s)
- Alexandru Florea
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany;
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229HX Maastricht, The Netherlands; (M.E.K.); (J.B.)
- School for Cardiovascular Diseases (CARIM), Maastricht University, 6229HX Maastricht, The Netherlands;
| | - M. Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229HX Maastricht, The Netherlands; (M.E.K.); (J.B.)
- School for Cardiovascular Diseases (CARIM), Maastricht University, 6229HX Maastricht, The Netherlands;
| | - Werner Mess
- Department of Clinical Neurophysiology, Maastricht University Medical Center, 6229HX Maastricht, The Netherlands;
| | - Leon J. Schurgers
- School for Cardiovascular Diseases (CARIM), Maastricht University, 6229HX Maastricht, The Netherlands;
- Department of Biochemistry, Maastricht University, 6229HX Maastricht, The Netherlands
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52074 Aachen, Germany
| | - Jan Bucerius
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229HX Maastricht, The Netherlands; (M.E.K.); (J.B.)
- School for Cardiovascular Diseases (CARIM), Maastricht University, 6229HX Maastricht, The Netherlands;
- Department of Nuclear Medicine, University of Göttingen, 37075 Göttingen, Germany
| | - Felix M. Mottaghy
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany;
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229HX Maastricht, The Netherlands; (M.E.K.); (J.B.)
- School for Cardiovascular Diseases (CARIM), Maastricht University, 6229HX Maastricht, The Netherlands;
- Correspondence: ; Tel.: +49-241-80-88741
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25
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Potential Role of Melatonin as an Adjuvant for Atherosclerotic Carotid Arterial Stenosis. Molecules 2021; 26:molecules26040811. [PMID: 33557283 PMCID: PMC7914857 DOI: 10.3390/molecules26040811] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/27/2021] [Accepted: 02/02/2021] [Indexed: 12/23/2022] Open
Abstract
Carotid artery stenosis (CAS) is an atherosclerotic disease characterized by a narrowing of the artery lumen and a high risk of ischemic stroke. Risk factors of atherosclerosis, including smoking, hypertension, hyperglycemia, hyperlipidemia, aging, and disrupted circadian rhythm, may potentiate atherosclerosis in the carotid artery and further reduce the arterial lumen. Ischemic stroke due to severe CAS and cerebral ischemic/reperfusion (I/R) injury after the revascularization of CAS also adversely affect clinical outcomes. Melatonin is a pluripotent agent with potent anti-inflammatory, anti-oxidative, and neuroprotective properties. Although there is a shortage of direct clinical evidence demonstrating the benefits of melatonin in CAS patients, previous studies have shown that melatonin may be beneficial for patients with CAS in terms of reducing endothelial damage, stabilizing arterial plaque, mitigating the harm from CAS-related ischemic stroke and cerebral I/R injury, and alleviating the adverse effects of the related risk factors. Additional pre-clinical and clinical are required to confirm this speculation.
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26
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Florea A, Sigl JP, Morgenroth A, Vogg A, Sahnoun S, Winz OH, Bucerius J, Schurgers LJ, Mottaghy FM. Sodium [ 18F]Fluoride PET Can Efficiently Monitor In Vivo Atherosclerotic Plaque Calcification Progression and Treatment. Cells 2021; 10:cells10020275. [PMID: 33573188 PMCID: PMC7911917 DOI: 10.3390/cells10020275] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/07/2021] [Accepted: 01/27/2021] [Indexed: 12/13/2022] Open
Abstract
Given the high sensitivity and specificity of sodium [18F]Fluoride (Na[18F]F) for vascular calcifications and positive emerging data of vitamin K on vascular health, the aim of this study is to assess the ability of Na[18F]F to monitor therapy and disease progression in a unitary atherosclerotic mouse model. ApoE−/− mice were placed on a Western-type diet for 12-weeks and then split into four groups. The early stage atherosclerosis group received a chow diet for an additional 12-weeks, while the advanced atherosclerosis group continued the Western-type diet. The Menaquinone-7 (MK-7) and Warfarin groups received MK-7 or Warfarin supplementation during the additional 12-weeks, respectively. Control wild type mice were fed a chow diet for 24-weeks. All of the mice were scanned with Na[18F]F using a small animal positron emission tomography (PET)/computed tomography (CT). The Warfarin group presented spotty calcifications on the CT in the proximal aorta. All of the spots corresponded to dense mineralisations on the von Kossa staining. After the control, the MK-7 group had the lowest Na[18F]F uptake. The advanced and Warfarin groups presented the highest uptake in the aortic arch and left ventricle. The advanced stage group did not develop spotty calcifications, however Na[18F]F uptake was still observed, suggesting the presence of micro-calcifications. In a newly applied mouse model, developing spotty calcifications on CT exclusively in the proximal aorta, Na[18F]F seems to efficiently monitor plaque progression and the beneficial effects of vitamin K on cardiovascular disease.
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Affiliation(s)
- Alexandru Florea
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
- School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
| | - Julius P. Sigl
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
| | - Agnieszka Morgenroth
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
| | - Andreas Vogg
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
| | - Sabri Sahnoun
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
| | - Oliver H. Winz
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
| | - Jan Bucerius
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
- School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
- Department of Nuclear Medicine, University of Göttingen, 37075 Göttingen, Germany
| | - Leon J. Schurgers
- School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
- Department of Biochemistry, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52074 Aachen, Germany
| | - Felix M. Mottaghy
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany; (A.F.); (J.P.S.); (A.M.); (A.V.); (S.S.); (O.H.W.)
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
- School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
- Correspondence: ; Tel.: +49-241-80-88741
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27
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Abstract
PURPOSE OF REVIEW Cryptogenic stroke represents a heterogenous but clinically important collection of stroke etiologies for which our understanding continues to grow. Here, we review our current knowledge and most recent recommendations on secondary prevention for common causes of cryptogenic stroke including paroxysmal atrial fibrillation, atrial cardiopathy, patent foramen ovale, and substenotic atherosclerotic disease as well as the under-recognized mechanisms of occult malignancy, heart failure, and, most recently, infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). RECENT FINDINGS The results from recent observational studies and randomized clinical trials have provided greater insight into the causal relationship and attributable risk of these suspected etiologies and have identified potential strategies to reduce the rates of recurrence. However, further clinical trials are needed to confirm the benefits of specific stroke prevention strategies, including the patient populations most likely to benefit from anticoagulation. There is ongoing research aimed at both reducing the proportion of ischemic strokes classified as cryptogenic and resolving much of the clinical equipoise that still exists. The results of these studies have the potential to provide us with a better understanding of these occult mechanisms and allow for more targeted interventions.
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Affiliation(s)
- Chinwe Ibeh
- grid.413734.60000 0000 8499 1112Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and New York-Presbyterian Hospital, 710 W 168th St, New York, NY USA
| | - Mitchell S. V. Elkind
- grid.413734.60000 0000 8499 1112Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University and New York-Presbyterian Hospital, 710 W 168th St, New York, NY USA ,grid.21729.3f0000000419368729Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY USA
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