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Huang Y, Sun X, Ding X, Tan S, Yu Z, Shi X, Li X, Ge H. Pathological Intraplaque Hemorrhage as the Gold Standard to Assess the Efficacy of Ultrasound in Predicting Vulnerable Carotid Plaque Rupture. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024. [PMID: 38962941 DOI: 10.1002/jum.16518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/27/2024] [Accepted: 06/14/2024] [Indexed: 07/05/2024]
Abstract
OBJECTIVE To assess the clinical utility of ultrasound in predicting the risk of carotid vulnerable plaque rupture using pathological intraplaque hemorrhage as the gold standard. METHODS A total of 118 patients who underwent endarterectomy due to symptomatic carotid artery stenosis were enrolled. Conventional ultrasound assessed the plaque thickness, area stenosis rate, echo, and surface morphology. Neovascularization were assessed by contrast-enhanced ultrasound (CEUS) and tracing intraplaque nonenhanced areas. According to neovascularization grade (0-4), plaques were classified as low-, intermediate-, and high risk. Fresh intraplaque hemorrhage within the pathology was adopted as the gold standard for diagnosing plaque rupture risk. Thus, we divided patients into ruptured risk and nonruptured risk groups to assess the value of crucial factors for plaque rupture risk using ultrasound. RESULTS Of the 118 patients, hypertension accounted for 71.2%, hyperlipidemia 68.6%, diabetes 52.5%, and statin history 64.4%. In the rupture risk group, diabetes, smoking, and stenosis rate were significantly higher than the nonrupture risk group (P < .001); plaque thickness ≥4 mm (P > .05); and mainly hypoechoic with irregular surface morphology (P < .001), nonenhanced areas in the plaques (P < .001), and neovascularization >grade 2 (P < .001). Compared with the low-risk group, plaque rupture risk was 7.219 times higher in the medium-risk group and 18.333 times higher in the high-risk group. The kappa value of the interobserver consistency of crucial ultrasound parameters was >0.75, and the intraclass correlation coefficient was 0.919 (P < .01). CONCLUSIONS Both conventional ultrasound and CEUS have significant clinical importance in the prediction of rupture risk in vulnerable carotid plaques, thereby enabling stroke risk stratification and the assessment of plaque rupture risk.
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Affiliation(s)
- Yaping Huang
- Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Department of Ultrasound, Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing, China
| | - Xinping Sun
- Department of Ultrasound, Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing, China
| | - Xu Ding
- Department of Vascular Surgery, Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing, China
| | - Shuping Tan
- Department of Vascular Surgery, Beijing Hospital, Beijing, China
| | - Zexing Yu
- Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xue Shi
- Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xin Li
- Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Huiyu Ge
- Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
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Pakizer D, Kozel J, Taffé P, Elmers J, Feber J, Michel P, Školoudík D, Sirimarco G. Diagnostic accuracy of carotid plaque instability by noninvasive imaging: a systematic review and meta-analysis. Eur Heart J Cardiovasc Imaging 2024:jeae144. [PMID: 38953552 DOI: 10.1093/ehjci/jeae144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/02/2024] [Accepted: 05/27/2024] [Indexed: 07/04/2024] Open
Abstract
AIMS There is increasing evidence that plaque instability in the extracranial carotid artery may lead to an increased stroke risk independently of the degree of stenosis. We aimed to determine diagnostic accuracy of vulnerable and stable plaque using noninvasive imaging modalities when compared to histology in patients with symptomatic and asymptomatic carotid atherosclerosis. METHODS AND RESULTS Medline Ovid, Embase, Cochrane Library, and Web of Science were searched for diagnostic accuracy of noninvasive imaging modalities (CT, MRI, US) in the detection of 1) vulnerable/stable plaque, and 2) vulnerable/stable plaque characteristics, compared to histology. The quality of included studies was assessed by QUADAS-2 and univariate and bivariate random-effect meta-analyses were performed. We included 36 vulnerable and 5 stable plaque studies in the meta-analysis, and out of 211 plaque characteristics from remaining studies, we classified 169 as vulnerable and 42 as stable characteristics (28 CT, 120 MRI, 104 US characteristics). We found that MRI had high accuracy [90% (95% CI: 82-95%)] in the detection of vulnerable plaque, similar to CT [86% (95% CI: 76-92%); P > 0.05], whereas US showed less accuracy [80% (95% CI: 75-84%); P = 0.013]. CT showed high diagnostic accuracy in visualizing characteristics of vulnerable or stable plaques (89% and 90%) similar to MRI (86% and 89%; P > 0.05); however, US had lower accuracy (77%, P < 0.001 and 82%, P > 0.05). CONCLUSION CT and MRI have a similar, high performance in detecting vulnerable carotid plaques, whereas US showed significantly less diagnostic accuracy. Moreover, MRI visualized all vulnerable plaque characteristics allowing for a better stroke risk assessment. REGISTRATION PROSPERO ID CRD42022329690.
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Affiliation(s)
- David Pakizer
- Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - Jiří Kozel
- Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - Patrick Taffé
- Center for Primary Care and Public Health, Division of Biostatistics, University of Lausanne, Route de la Corniche 10, 1010, Lausanne, Switzerland
| | - Jolanda Elmers
- Medical Library, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Janusz Feber
- Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
- Division of Nephrology, Department of Pediatrics, Children's Hospital of Eastern Ontario, University of Ottawa, 401 Smyth Road, ON K1H8L1 Ottawa, Canada
| | - Patrik Michel
- Stroke Center, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - David Školoudík
- Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - Gaia Sirimarco
- Stroke Center, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital, Rue du Bugnon 46, 1011 Lausanne, Switzerland
- Neurology Unit, Department of Internal Medicine, Riviera Chablais Hospital, Route du Vieux-Séquoia 20, 1847 Rennaz, Switzerland
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Wang L, Guo T, Wang L, Yang W, Wang J, Nie J, Cui J, Jiang P, Li J, Zhang H. Improving radiomic modeling for the identification of symptomatic carotid atherosclerotic plaques using deep learning-based 3D super-resolution CT angiography. Heliyon 2024; 10:e29331. [PMID: 38644848 PMCID: PMC11033096 DOI: 10.1016/j.heliyon.2024.e29331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/23/2024] Open
Abstract
Rationale and objectives Radiomic models based on normal-resolution (NR) computed tomography angiography (CTA) images can fail to distinguish between symptomatic and asymptomatic carotid atherosclerotic plaques. This study aimed to explore the effectiveness of a deep learning-based three-dimensional super-resolution (SR) CTA radiomic model for improved identification of symptomatic carotid atherosclerotic plaques. Materials and methods A total of 193 patients with carotid atherosclerotic plaques were retrospectively enrolled and allocated into either a symptomatic (n = 123) or an asymptomatic (n = 70) groups. SR CTA images were derived from NR CTA images using deep learning-based three-dimensional SR technology. Handcrafted radiomic features were extracted from both the SR and NR CTA images and three risk models were developed based on manually measured quantitative CTA characteristics and NR and SR radiomic features. Model performances were assessed via receiver operating characteristic, calibration, and decision curve analyses. Results The SR model exhibited the optimal performance (area under the curve [AUC] 0.820, accuracy 0.802, sensitivity 0.854, F1 score 0.847) in the testing cohort, outperforming the other two models. The calibration curve analyses and Hosmer-Lemeshow test demonstrated that the SR model exhibited the best goodness of fit, and decision curve analysis revealed that SR model had the highest clinical value and potential patient benefits. Conclusions Deep learning-based three-dimensional SR technology could improve the CTA-based radiomic models in identifying symptomatic carotid plaques, potentially providing more accurate and valuable information to guide clinical decision-making to reduce the risk of ischemic stroke.
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Affiliation(s)
- Lingjie Wang
- Department of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
| | - Tiedan Guo
- Department of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
| | - Li Wang
- Department of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
| | - Wentao Yang
- Basic Medical College, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
| | - Jingying Wang
- Department of Endemic Disease Prevention and Control, Shanxi Province Disease Prevention and Control Center, Shanxi Province, 030001, China
| | - Jianlong Nie
- Shanghai United Imaging Intelligence, Co., Ltd., Shanghai City, 200030, China
| | - Jingjing Cui
- Shanghai United Imaging Intelligence, Co., Ltd., Shanghai City, 200030, China
| | - Pengbo Jiang
- Shanghai United Imaging Intelligence, Co., Ltd., Shanghai City, 200030, China
| | - Junlin Li
- Department of Imaging Medicine, Inner Mongolia Autonomous Region People's Hospital, Hohhot, 010017, China
| | - Hua Zhang
- Department of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China
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Lengyel B, Magyar-Stang R, Pál H, Debreczeni R, Sándor ÁD, Székely A, Gyürki D, Csippa B, István L, Kovács I, Sótonyi P, Mihály Z. Non-Invasive Tools in Perioperative Stroke Risk Assessment for Asymptomatic Carotid Artery Stenosis with a Focus on the Circle of Willis. J Clin Med 2024; 13:2487. [PMID: 38731014 PMCID: PMC11084304 DOI: 10.3390/jcm13092487] [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: 03/25/2024] [Revised: 04/17/2024] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
This review aims to explore advancements in perioperative ischemic stroke risk estimation for asymptomatic patients with significant carotid artery stenosis, focusing on Circle of Willis (CoW) morphology based on the CTA or MR diagnostic imaging in the current preoperative diagnostic algorithm. Functional transcranial Doppler (fTCD), near-infrared spectroscopy (NIRS), and optical coherence tomography angiography (OCTA) are discussed in the context of evaluating cerebrovascular reserve capacity and collateral vascular systems, particularly the CoW. These non-invasive diagnostic tools provide additional valuable insights into the cerebral perfusion status. They support biomedical modeling as the gold standard for the prediction of the potential impact of carotid artery stenosis on the hemodynamic changes of cerebral perfusion. Intraoperative risk assessment strategies, including selective shunting, are explored with a focus on CoW variations and their implications for perioperative ischemic stroke and cognitive function decline. By synthesizing these insights, this review underscores the potential of non-invasive diagnostic methods to support clinical decision making and improve asymptomatic patient outcomes by reducing the risk of perioperative ischemic neurological events and preventing further cognitive decline.
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Affiliation(s)
- Balázs Lengyel
- Department of Vascular and Endovascular Surgery, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.L.); (P.S.J.)
| | - Rita Magyar-Stang
- Department of Neurology, Semmelweis University, 1085 Budapest, Hungary; (R.M.-S.); (H.P.); (R.D.)
- Szentágothai Doctoral School of Neurosciences, Semmelweis University, 1085 Budapest, Hungary
| | - Hanga Pál
- Department of Neurology, Semmelweis University, 1085 Budapest, Hungary; (R.M.-S.); (H.P.); (R.D.)
- Szentágothai Doctoral School of Neurosciences, Semmelweis University, 1085 Budapest, Hungary
| | - Róbert Debreczeni
- Department of Neurology, Semmelweis University, 1085 Budapest, Hungary; (R.M.-S.); (H.P.); (R.D.)
- Szentágothai Doctoral School of Neurosciences, Semmelweis University, 1085 Budapest, Hungary
| | - Ágnes Dóra Sándor
- Department of Anesthesiology and Intensive Therapy, Semmelweis University, 1085 Budapest, Hungary; (Á.D.S.); (A.S.)
| | - Andrea Székely
- Department of Anesthesiology and Intensive Therapy, Semmelweis University, 1085 Budapest, Hungary; (Á.D.S.); (A.S.)
| | - Dániel Gyürki
- Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, 1085 Budapest, Hungary; (D.G.); (B.C.)
| | - Benjamin Csippa
- Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, 1085 Budapest, Hungary; (D.G.); (B.C.)
| | - Lilla István
- Department of Ophthalmology, Semmelweis University, 1085 Budapest, Hungary; (L.I.); (I.K.)
| | - Illés Kovács
- Department of Ophthalmology, Semmelweis University, 1085 Budapest, Hungary; (L.I.); (I.K.)
- Department of Ophthalmology, Weill Cornell Medical College, New York, NY 10065, USA
- Department of Clinical Ophthalmology, Faculty of Health Sciences, Semmelweis University, 1085 Budapest, Hungary
| | - Péter Sótonyi
- Department of Vascular and Endovascular Surgery, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.L.); (P.S.J.)
| | - Zsuzsanna Mihály
- Department of Vascular and Endovascular Surgery, Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (B.L.); (P.S.J.)
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Huang LX, Wu XB, Liu YA, Guo X, Liu CC, Cai WQ, Wang SW, Luo B. High-resolution magnetic resonance vessel wall imaging in ischemic stroke and carotid artery atherosclerotic stenosis: A review. Heliyon 2024; 10:e27948. [PMID: 38571643 PMCID: PMC10987942 DOI: 10.1016/j.heliyon.2024.e27948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 03/02/2024] [Accepted: 03/08/2024] [Indexed: 04/05/2024] Open
Abstract
Ischemic stroke is a significant burden on human health worldwide. Carotid Atherosclerosis stenosis plays an important role in the comprehensive assessment and prevention of ischemic stroke patients. High-resolution vessel wall magnetic resonance imaging has emerged as a successful technique for assessing carotid atherosclerosis stenosis. This advanced imaging modality has shown promise in effectively displaying a wide range of characteristics associated with the condition, leading to a comprehensive evaluation. High-resolution vessel wall magnetic resonance imaging not only enables a comprehensive evaluation of the instability of carotid atherosclerosis stenosis plaques but also provides valuable information for understanding the pathogenesis and predicting the prognosis of ischemic stroke patients. The purpose of this article is to review the application of high-resolution magnetic resonance imaging in ischemic stroke and carotid atherosclerotic stenosis.
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Affiliation(s)
- Li-Xin Huang
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xiao-Bing Wu
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yi-Ao Liu
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Xin Guo
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Chi-Chen Liu
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Wang-Qing Cai
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Sheng-Wen Wang
- Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Bin Luo
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
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Fernández-Alvarez V, Linares-Sánchez M, Suárez C, López F, Guntinas-Lichius O, Mäkitie AA, Bradley PJ, Ferlito A. Novel Imaging-Based Biomarkers for Identifying Carotid Plaque Vulnerability. Biomolecules 2023; 13:1236. [PMID: 37627301 PMCID: PMC10452902 DOI: 10.3390/biom13081236] [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: 06/25/2023] [Revised: 07/30/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
Carotid artery disease has traditionally been assessed based on the degree of luminal narrowing. However, this approach, which solely relies on carotid stenosis, is currently being questioned with regard to modern risk stratification approaches. Recent guidelines have introduced the concept of the "vulnerable plaque," emphasizing specific features such as thin fibrous caps, large lipid cores, intraplaque hemorrhage, plaque rupture, macrophage infiltration, and neovascularization. In this context, imaging-based biomarkers have emerged as valuable tools for identifying higher-risk patients. Non-invasive imaging modalities and intravascular techniques, including ultrasound, computed tomography, magnetic resonance imaging, intravascular ultrasound, optical coherence tomography, and near-infrared spectroscopy, have played pivotal roles in characterizing and detecting unstable carotid plaques. The aim of this review is to provide an overview of the evolving understanding of carotid artery disease and highlight the significance of imaging techniques in assessing plaque vulnerability and informing clinical decision-making.
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Affiliation(s)
- Verónica Fernández-Alvarez
- Department of Vascular and Endovascular Surgery, Hospital Universitario de Cabueñes, 33394 Gijón, Spain;
| | - Miriam Linares-Sánchez
- Department of Vascular and Endovascular Surgery, Hospital Universitario de Cabueñes, 33394 Gijón, Spain;
| | - Carlos Suárez
- Instituto de Investigacion Sanitaria del Principado de Asturias, 33011 Oviedo, Spain; (C.S.); (F.L.)
| | - Fernando López
- Instituto de Investigacion Sanitaria del Principado de Asturias, 33011 Oviedo, Spain; (C.S.); (F.L.)
- Department of Otorhinolaryngology, Hospital Universitario Central de Asturias, Instituto Universitario de Oncologia del Principado de Asturias, University of Oviedo, CIBERONC, 33011 Oviedo, Spain
| | | | - Antti A. Mäkitie
- Department of Otorhinolaryngology-Head and Neck Surgery, Helsinki University Hospital, University of Helsinki, P.O. Box 263, 00029 Helsinki, Finland;
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
- Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology, Karolinska Institute and Karolinska University Hospital, 17176 Stockholm, Sweden
| | - Patrick J. Bradley
- Department of ORLHNS, Queens Medical Centre Campus, Nottingham University Hospitals, Derby Road, Nottingham NG7 2UH, UK;
| | - Alfio Ferlito
- Coordinator of the International Head and Neck Scientific Group, 35100 Padua, Italy;
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7
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Obaid DR, Okonji I, Cheng SF, Giannopoulos AA, Kamalathevan P, Halcox J, Rodriguez-Justo M, Richards T. Identification of vulnerable carotid plaque with histologically validated CT-derived plaque maps. Br J Radiol 2023:20220982. [PMID: 37183910 DOI: 10.1259/bjr.20220982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023] Open
Abstract
OBJECTIVES Ruptured carotid plaque causes stroke, but differentiating rupture-prone necrotic core from fibrous tissue with CT is limited by overlap of X-ray attenuation. We investigated the ability of CT-derived plaque maps created from ratios of plaque/contrast attenuation to identify histologically proven vulnerable plaques. METHODS Seventy patients underwent carotid CT angiography and carotid endarterectomy. A derivation cohort of 20 patients had CT images matched with histology and carotid plaque components attenuation defined. In a validation cohort of 50 patients, CT-derived plaque maps were compared in 43 symptomatic vs 40 asymptomatic carotid plaques and accuracy detecting vulnerable plaques calculated. RESULTS In 250 plaque areas co-registered with histology, the median attenuation (HU) of necrotic core 43(26-63), fibrous plaque 127(110-162) and calcified plaque 964 (816-1207) created significantly different ratios of plaque/contrast attenuation. CT-derived plaque maps revealed symptomatic plaques had larger necrotic core than asymptomatic (13.5%(5.9-33.3) vs 7.4%(2.3-14.3), p = 0.004) with large necrotic core predicting symptoms (area under ROC curve 0.68, p = 0.004). Twenty-four of 47 carotid plaques were histologically classified as most vulnerable (Starry-Type VI). Plaque maps revealed Type VI plaques had a greater necrotic core volume than Type IV/V plaques and a necrotic core/fibrous plaque ratio >0.5 distinguished Type VI plaques with sensitivity 75.0% (55.1-88.0) and specificity of 39.1% (22.2-59.2). CONCLUSIONS Carotid plaque components can be differentiated by CT using a ratio of plaque/contrast attenuation. CT-derived plaque map volumes of necrotic core help distinguished the most vulnerable plaques. ADVANCES IN KNOWLEDGE CT-derived plaque maps based on plaque/contrast attenuation may provide new markers of carotid plaque vulnerability.
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Affiliation(s)
| | - Ike Okonji
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Suk F Cheng
- University College London Hospitals NHS Foundation Trust, London, UK
| | | | | | | | | | - Toby Richards
- Department of Surgery, University of Western Australia, Perth, Australia
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8
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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: 2.0] [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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9
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Kaczynski J, Sellers S, Seidman MA, Syed M, Dennis M, Mcnaught G, Jansen M, Semple SI, Alcaide-Corral C, Tavares AAS, MacGillivray T, Debono S, Forsythe R, Tambyraja A, Slomka PJ, Leipsic J, Dweck MR, Whiteley W, Wardlaw J, van Beek EJR, Newby DE, Williams MC. 18F-NaF PET/MRI for Detection of Carotid Atheroma in Acute Neurovascular Syndrome. Radiology 2022; 305:137-148. [PMID: 35670715 PMCID: PMC9523682 DOI: 10.1148/radiol.212283] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 02/28/2022] [Accepted: 04/21/2022] [Indexed: 12/17/2022]
Abstract
Background MRI and fluorine 18-labeled sodium fluoride (18F-NaF) PET can be used to identify features of plaque instability, rupture, and disease activity, but large studies have not been performed. Purpose To evaluate the association between 18F-NaF activity and culprit carotid plaque in acute neurovascular syndrome. Materials and Methods In this prospective observational cohort study (October 2017 to January 2020), participants underwent 18F-NaF PET/MRI. An experienced clinician determined the culprit carotid artery based on symptoms and record review. 18F-NaF uptake was quantified using standardized uptake values and tissue-to-background ratios. Statistical significance was assessed with the Welch, χ2, Wilcoxon, or Fisher test. Multivariable models were used to evaluate the relationship between the imaging markers and the culprit versus nonculprit vessel. Results A total of 110 participants were evaluated (mean age, 68 years ± 10 [SD]; 70 men and 40 women). Of the 110, 34 (32%) had prior cerebrovascular disease, and 26 (24%) presented with amaurosis fugax, 54 (49%) with transient ischemic attack, and 30 (27%) with stroke. Compared with nonculprit carotids, culprit carotids had greater stenoses (≥50% stenosis: 30% vs 15% [P = .02]; ≥70% stenosis: 25% vs 4.5% [P < .001]) and had increased prevalence of MRI-derived adverse plaque features, including intraplaque hemorrhage (42% vs 23%; P = .004), necrotic core (36% vs 18%; P = .004), thrombus (7.3% vs 0%; P = .01), ulceration (18% vs 3.6%; P = .001), and higher 18F-NaF uptake (maximum tissue-to-background ratio, 1.38 [IQR, 1.12-1.82] vs 1.26 [IQR, 0.99-1.66], respectively; P = .04). Higher 18F-NaF uptake was positively associated with necrosis, intraplaque hemorrhage, ulceration, and calcification and inversely associated with fibrosis (P = .04 to P < .001). In multivariable analysis, carotid stenosis at or over 70% (odds ratio, 5.72 [95% CI: 2.2, 18]) and MRI-derived adverse plaque characteristics (odds ratio, 2.16 [95% CI: 1.2, 3.9]) were both associated with the culprit versus nonculprit carotid vessel. Conclusion Fluorine 18-labeled sodium fluoride PET/MRI characteristics were associated with the culprit carotid vessel in study participants with acute neurovascular syndrome. Clinical trial registration no. NCT03215550 and NCT03215563 © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Jakub Kaczynski
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Stephanie Sellers
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Michael A. Seidman
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Maaz Syed
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Martin Dennis
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Gillian Mcnaught
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Maurits Jansen
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Scott I. Semple
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Carlos Alcaide-Corral
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Adriana A. S. Tavares
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Thomas MacGillivray
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Samuel Debono
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Rachael Forsythe
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Andrew Tambyraja
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Piotr J. Slomka
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Jonathon Leipsic
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Marc R. Dweck
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - William Whiteley
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Joanna Wardlaw
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Edwin J. R. van Beek
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - David E. Newby
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
| | - Michelle C. Williams
- From the BHF Centre for Cardiovascular Science, University of
Edinburgh, The Chancellor’s Building, 49 Little France Crescent,
EH16 4SB, Edinburgh, Scotland (J.K., M.S., G.M., M.J., S.I.S., C.A.C.,
A.A.S.T., S.D., M.R.D., E.J.R.v.B., D.E.N., M.C.W.); Centre for Heart Lung
Innovation, St Paul’s Hospital and University of British Columbia,
Vancouver, Canada (S.S., J.L.); Laboratory Medicine Program, University Health
Network, General Hospital, Toronto, Canada (M.A.S.); Royal Infirmary of
Edinburgh, Edinburgh, Scotland (M.D., R.F., A.T., W.W., J.W.); Edinburgh
Imaging, Queen’s Medical Research Institute, Edinburgh, Scotland (G.M.,
S.I.S., T.M., E.J.R.v.B., D.E.N., M.C.W.); and Department of Medicine, Division
of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los
Angeles, Calif (P.J.S.)
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10
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Izquierdo-Garcia D, Diyabalanage H, Ramsay IA, Rotile NJ, Mauskapf A, Choi JK, Witzel T, Humblet V, Jaffer FA, Brownell AL, Tawakol A, Catana C, Conrad MF, Caravan P, Ay I. Imaging High-Risk Atherothrombosis Using a Novel Fibrin-Binding Positron Emission Tomography Probe. Stroke 2022; 53:595-604. [PMID: 34965737 PMCID: PMC8792326 DOI: 10.1161/strokeaha.121.035638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE High-risk atherosclerosis is an underlying cause of cardiovascular events, yet identifying the specific patient population at immediate risk is still challenging. Here, we used a rabbit model of atherosclerotic plaque rupture and human carotid endarterectomy specimens to describe the potential of molecular fibrin imaging as a tool to identify thrombotic plaques. METHODS Atherosclerotic plaques in rabbits were induced using a high-cholesterol diet and aortic balloon injury (N=13). Pharmacological triggering was used in a group of rabbits (n=9) to induce plaque disruption. Animals were grouped into thrombotic and nonthrombotic plaque groups based on gross pathology (gold standard). All animals were injected with a novel fibrin-specific probe 68Ga-CM246 followed by positron emission tomography (PET)/magnetic resonance imaging 90 minutes later. 68Ga-CM246 was quantified on the PET images using tissue-to-background (back muscle) ratios and standardized uptake value. RESULTS Both tissue-to-background (back muscle) ratios and standardized uptake value were significantly higher in the thrombotic versus nonthrombotic group (P<0.05). Ex vivo PET and autoradiography of the abdominal aorta correlated positively with in vivo PET measurements. Plaque disruption identified by 68Ga-CM246 PET agreed with gross pathology assessment (85%). In ex vivo surgical specimens obtained from patients undergoing elective carotid endarterectomy (N=12), 68Ga-CM246 showed significantly higher binding to carotid plaques compared to a D-cysteine nonbinding control probe. CONCLUSIONS We demonstrated that molecular fibrin PET imaging using 68Ga-CM246 could be a useful tool to diagnose experimental and clinical atherothrombosis. Based on our initial results using human carotid plaque specimens, in vivo molecular imaging studies are warranted to test 68Ga-CM246 PET as a tool to stratify risk in atherosclerotic patients.
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Affiliation(s)
- David Izquierdo-Garcia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA,Harvard-MIT Department of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA
| | | | - Ian A. Ramsay
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA,Collagen Medical, LLC, Belmont, MA,The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA,The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA
| | - Adam Mauskapf
- Cardiovascular Research Center, Division of Cardiology, Department of Medicine Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Ji-Kyung Choi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA
| | - Thomas Witzel
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA
| | | | - Farouc A. Jaffer
- Cardiovascular Research Center, Division of Cardiology, Department of Medicine Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Anna-Liisa Brownell
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA
| | - Ahmed Tawakol
- Nuclear Cardiology, Division of Cardiology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA,The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA
| | - Mark F. Conrad
- Division of Vascular and Endovascular Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA,The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA
| | - Ilknur Ay
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA
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11
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Huang X, Mao L, Wang X, Teng Z, Shao M, Gao J, Xia M, Shao Z. Multi-Sequence MRI Registration of Atherosclerotic Carotid Arteries Based on Cross-Scale Siamese Network. Front Cardiovasc Med 2022; 8:785523. [PMID: 35004897 PMCID: PMC8740957 DOI: 10.3389/fcvm.2021.785523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/08/2021] [Indexed: 11/13/2022] Open
Abstract
Cardiovascular disease (CVD) is a common disease with high mortality rate, and carotid atherosclerosis (CAS) is one of the leading causes of cardiovascular disease. Multisequence carotid MRI can not only identify carotid atherosclerotic plaque constituents with high sensitivity and specificity, but also obtain different morphological features, which can effectively help doctors improve the accuracy of diagnosis. However, it is difficult to evaluate the accurate evolution of local changes in carotid atherosclerosis in multi-sequence MRI due to the inconsistent parameters of different sequence images and the geometric space mismatch caused by the motion deviation of tissues and organs. To solve these problems, we propose a cross-scale multi-modal image registration method based on the Siamese U-Net. The network uses sub-networks with image inputs of different sizes to extract various features, and a special padding module is designed to make the network available for training on cross-scale features. In addition, to improve the registration performance, a multi-scale loss function under Gaussian smoothing is applied for optimization. For the experiments, we have collected a multi-sequence MRI image dataset from 11 patients with carotid atherosclerosis for a retrospective study. We evaluate our overall architectures by cross-validation on our carotid dataset. The experimental results show that our method can generate precise and reliable results with cross-scale multi-sequence inputs and the registration accuracy can be greatly improved by using the Gaussian smoothing loss function. The DSC of our Siamese structure can reach 84.1% on the carotid data set with cross-size input. With the use of GDSC loss, the average DSC can be improved by 5.23%, while the average distance between fixed landmarks and moving landmarks can be decreased by 6.46%.Our code is made publicly available at: https://github.com/MingHan98/Cross-scale-Siamese-Unet.
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Affiliation(s)
- Xiaojie Huang
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lizhao Mao
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Xiaoyan Wang
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Zhongzhao Teng
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Minghan Shao
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Jiefei Gao
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Ming Xia
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Zhanpeng Shao
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
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12
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Sanghvi D, Shrivastava M. Carotid plaque imaging: Strategies beyond stenosis. Ann Indian Acad Neurol 2022; 25:11-14. [PMID: 35342272 PMCID: PMC8954334 DOI: 10.4103/aian.aian_483_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/21/2021] [Accepted: 08/03/2021] [Indexed: 11/04/2022] Open
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13
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Trandafir C, Laurent-Chabalier S, Cosma C, Frandon J, Thouvenot E, Renard D. Association of symptomatic atherosclerotic carotid arteries with plaque areas showing low densities on CTA. Eur J Neurol 2021; 29:1056-1061. [PMID: 34941017 DOI: 10.1111/ene.15229] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/12/2021] [Accepted: 12/01/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Intraplaque hemorrhage (IPH) is a key feature of vulnerable carotid atherosclerotic plaque (CAP), associated with low densities (<25 Hounsfield unit, HU) on CTA. This study aimed to analyze CAP on routine CTA performed in patients with symptomatic and asymptomatic carotid stenosis undergoing carotid endarterectomy (CEA) by assessing HU of the CAP area showing the lowest density (CAPALD) using radiological tools available in daily clinical practice, and to compare CAPALD values between symptomatic and asymptomatic carotids. MATERIAL AND METHODS We retrospectively screened pre-operative CTA scans of 206 consecutive adult patients undergoing CEA for symptomatic or asymptomatic stenosis. CAPALD values were compared between symptomatic and asymptomatic carotids. Asymptomatic carotids included arteries contralateral to the symptomatic CEA artery, and asymptomatic stenotic arteries undergoing CEA and their contralateral arteries. Carotids were excluded when <30% stenosis, or when CAP could not be identified or CAPALD not measured. RESULTS In total, 95 symptomatic and 112 asymptomatic carotids (derived from 174 patients) were analysed. In multivariate analysis, symptomatic arteries showed more severe stenosis (median 70% vs. 67%, p=0.0228) and lower CAPALD values (median 17 vs. 25 HU, p=0.049), whereas degree of stenosis and CAPALD values were not correlated (rho=-0.02, p=0.77). HU values <25 were more frequent in symptomatic than asymptomatic carotids (68% vs. 47%, p=0.0022). CONCLUSION On CTA, symptomatic carotids are associated with CAP areas with low densities. CTA analysis of CAP may be interesting to help identifying vulnerable plaques at risk for future stroke, especially in patients lacking strict indications for CEA based on the current guidelines.
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Affiliation(s)
| | - Sabine Laurent-Chabalier
- Department of Biostatistics, Clinical Epidemiology, Public Health, and Innovation in Methodology, CHU Nîmes, Univ. Montpellier, Nîmes, France
| | - Catalin Cosma
- Department of Vascular and Thoracic Surgery, CHU Nîmes, Univ. Montpellier, Nîmes, France
| | - Julien Frandon
- Department of Medical Imaging, CHU Nîmes, Univ. Montpellier, Nîmes, France
| | - Eric Thouvenot
- Department of Neurology, CHU Nîmes, Univ. Montpellier, Nîmes, France.,Institut de Génomique Fonctionnelle, CNRS, UMR5203, INSERM 1191, Univ. Montpellier, Montpellier, France
| | - Dimitri Renard
- Department of Neurology, CHU Nîmes, Univ. Montpellier, Nîmes, France
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14
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Secchi F, Monti CB, Capra D, Vitale R, Mazzaccaro D, Conti M, Jin N, Giese D, Nano G, Sardanelli F, Marrocco-Trischitta MM. Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging. Tomography 2021; 7:513-522. [PMID: 34698250 PMCID: PMC8544659 DOI: 10.3390/tomography7040044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study was to evaluate the level of agreement between flow/velocity data obtained from 2D-phase-contrast (PC) and 4D-flow in patients scheduled for treatment of carotid artery stenosis. Image acquisition was performed using a 1.5 T scanner. We compared mean flow rates, vessel areas, and peak velocities obtained during the acquisition with both techniques in 20 consecutive patients, 15 males and 5 females aged 69 ± 5 years (mean ± standard deviation). There was a good correlation between both techniques for the CCA flow (r = 0.65, p < 0.001), whereas for the ICA flow and ECA flow the correlation was only moderate (r = 0.4, p = 0.011 and r = 0.45, p = 0.003, respectively). Correlations of peak velocities between methods were good for CCA (r = 0.56, p < 0.001) and moderate for ECA (r = 0.41, p = 0.008). There was no correlation for ICA (r = 0.04, p = 0.805). Cross-sectional area values between methods showed no significant correlations for CCA (r = 0.18, p = 0.269), ICA (r = 0.1, p = 0.543), and ECA (r = 0.05, p = 0.767). Conclusion: the 4D-flow imaging provided a good correlation of CCA and a moderate correlation of ICA flow rates against 2D-PC, underestimating peak velocities and overestimating cross-sectional areas in all carotid segments.
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Affiliation(s)
- Francesco Secchi
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20100 Milan, Italy; (C.B.M.); (D.C.); (R.V.); (G.N.); (F.S.)
- Unit of Radiology, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy
- Correspondence:
| | - Caterina Beatrice Monti
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20100 Milan, Italy; (C.B.M.); (D.C.); (R.V.); (G.N.); (F.S.)
| | - Davide Capra
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20100 Milan, Italy; (C.B.M.); (D.C.); (R.V.); (G.N.); (F.S.)
| | - Renato Vitale
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20100 Milan, Italy; (C.B.M.); (D.C.); (R.V.); (G.N.); (F.S.)
| | - Daniela Mazzaccaro
- Unit of Vascular Surgery, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy; (D.M.); (M.M.M.-T.)
| | - Michele Conti
- Department of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy;
| | - Ning Jin
- Siemens Medical Solutions USA, Inc., Malvern, PA 19355, USA;
| | - Daniel Giese
- Magnetic Resonance, Siemens Healthcare GmbH, 91052 Erlangen, Germany;
| | - Giovanni Nano
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20100 Milan, Italy; (C.B.M.); (D.C.); (R.V.); (G.N.); (F.S.)
- Unit of Vascular Surgery, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy; (D.M.); (M.M.M.-T.)
| | - Francesco Sardanelli
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20100 Milan, Italy; (C.B.M.); (D.C.); (R.V.); (G.N.); (F.S.)
- Unit of Radiology, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy
| | - Massimiliano M. Marrocco-Trischitta
- Unit of Vascular Surgery, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy; (D.M.); (M.M.M.-T.)
- Clinical Research Unit, Cardiovascular Department, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy
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Sofogianni A, Tziomalos K, Koletsa T, Pitoulias AG, Skoura L, Pitoulias GA. Using Serum Biomarkers for Identifying Unstable Carotid Plaque: Update of Current Evidence. Curr Pharm Des 2021; 27:1899-1903. [PMID: 33183188 DOI: 10.2174/1381612826666201112094734] [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: 03/05/2020] [Accepted: 08/11/2020] [Indexed: 11/22/2022]
Abstract
Carotid atherosclerosis is responsible for a great proportion of ischemic strokes. Early identification of unstable or vulnerable carotid plaques, and therefore, of patients at high risk for stroke, is of significant medical and socioeconomical value. We reviewed the current literature and discussed the potential role of the most important serum biomarkers in identifying patients with carotid atherosclerosis who are at high risk for atheroembolic stroke.
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Affiliation(s)
- Areti Sofogianni
- First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
| | - Konstantinos Tziomalos
- First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
| | - Triantafyllia Koletsa
- Department of Pathology, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
| | - Apostolos G Pitoulias
- Division of Vascular Surgery, Second Department of Surgery, Medical School, Aristotle University of Thessaloniki, G. Gennimatas Hospital, Thessaloniki, Greece
| | - Lemonia Skoura
- Department of Microbiology, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
| | - Georgios A Pitoulias
- Division of Vascular Surgery, Second Department of Surgery, Medical School, Aristotle University of Thessaloniki, G. Gennimatas Hospital, Thessaloniki, Greece
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16
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Školoudík D, Kešnerová P, Vomáčka J, Hrbáč T, Netuka D, Forostyak S, Roubec M, Herzig R, Belšan T. Shear-Wave Elastography Enables Identification of Unstable Carotid Plaque. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:1704-1710. [PMID: 33931284 DOI: 10.1016/j.ultrasmedbio.2021.03.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/13/2021] [Accepted: 03/23/2021] [Indexed: 06/12/2023]
Abstract
Shear-wave elastography (SWE) is a novel ultrasound technique for quantifying tissue elasticity. The aim of this study was to identify differences in atherosclerotic plaque elasticity measured using SWE among individuals with symptomatic, asymptomatic progressive and asymptomatic stable carotid plaques. Consecutive patients from the Atherosclerotic Plaque Characteristics Associated with a Progression Rate of the Plaque and a Risk of Stroke in Patients with the Carotid Bifurcation Plaque Study were screened for this research. Neurosonography examination of carotid arteries was performed to identify plaque stenosis of ≥50% using B-mode ultrasound and SWE imaging to measure the mean, maximal and minimal elasticity. The set consisted of 97 participants-74 with asymptomatic stable stenosis, 12 with asymptomatic progressive stenosis and 11 with symptomatic stenosis. The mean elasticity in the asymptomatic stable plaque group was significantly higher than in the asymptomatic progressive (52.2 vs. 30.4 kPa; p < 0.001) and symptomatic (52.2 vs. 36.4 kPa; p = 0.033) plaque groups. No significant differences were found between asymptomatic progressive and symptomatic (p > 0.1) plaque groups. Asymptomatic stable, asymptomatic progressive and symptomatic plaques did not differ in echogenicity, calcifications, homogeneity, occurrence of ulcerated surface, or intra-plaque hemorrhage (p > 0.05 in all cases). SWE was a helpful modality for differentiating between stable and unstable atherosclerotic plaques in carotid arteries.
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Affiliation(s)
- David Školoudík
- Center for Health Research, Ostrava University Medical Faculty, Ostrava, Czech Republic; Stroke Center, Vítkovice Hospital, Ostrava, Czech Republic; Comprehensive Stroke Center, Department of Neurosurgery, University Hospital Ostrava, Ostrava, Czech Republic; Faculty of Health Sciences, Palacký University Olomouc, Olomouc, Czech Republic.
| | - Petra Kešnerová
- Comprehensive Stroke Center, 2(nd) Medical Faculty, Charles University Prague and University Hospital Motol, Prague, Czech Republic
| | - Jaroslav Vomáčka
- Faculty of Health Sciences, Palacký University Olomouc, Olomouc, Czech Republic
| | - Tomáš Hrbáč
- Comprehensive Stroke Center, Department of Neurosurgery, University Hospital Ostrava, Ostrava, Czech Republic
| | - David Netuka
- Comprehensive Stroke Center, Department of Neurosurgery, Military Teaching Hospital Prague, Prague, Czech Republic
| | | | - Martin Roubec
- Comprehensive Stroke Center, Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Roman Herzig
- Department of Neurology, Comprehensive Stroke Center, Charles University Faculty of Medicine and University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Tomáš Belšan
- Comprehensive Stroke Center, Department of Radiology, Military Teaching Hospital Prague, Prague, Czech Republic
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17
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Relationship of Neutrophil-to-Lymphocyte Ratio with Carotid Plaque Vulnerability and Occurrence of Vulnerable Carotid Plaque in Patients with Acute Ischemic Stroke. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6894623. [PMID: 34250090 PMCID: PMC8238559 DOI: 10.1155/2021/6894623] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 06/01/2021] [Accepted: 06/11/2021] [Indexed: 11/22/2022]
Abstract
Background Carotid plaque is an undefined risk factor in ischemic stroke and is driven by inflammation. Mounting evidence suggests that neutrophil-to-lymphocyte ratio (NLR) is crucial not only for cerebrovascular events but also in atherosclerosis progression. Here, we aimed to explore the association between the admission NLR and carotid plaque vulnerability as well as the occurrence of vulnerable carotid plaque detected by carotid ultrasonography in patients with acute ischemic stroke (AIS) among Chinese. Methods We conducted a retrospective study composed of 588 patients with AIS and 309 healthy controls free of carotid plaque in the Department of Neurology in The Second Hospital of Lanzhou University from March 2014 to February 2015. All patients were classified as nonplaque, stable plaque, and vulnerable plaque groups on the basis of carotid ultrasonography results. The baseline information was collected and compared among the four different groups. The correlation between variables and carotid plaque vulnerability was tested by Spearman linear correlation analysis. To identify the independent predictors for vulnerable carotid plaque, univariate and multivariate logistic regression analysis was performed. Results The comparisons of age, sex proportion, history of hypertension, diabetes, and smoking, the levels of HDL-C, Lp(a), BMI, SBP, DBP, Fib, CRP, leukocyte, and NLR among the four groups showed a statistically significant difference (P < 0.05); in particular, the NLR was significantly higher in the vulnerable plaque group as compared to the control (P = 0.043), nonplaque (P = 0.022), and stable plaque groups (P = 0.015). The Spearman correlation analysis presented a positive correlation between carotid plaque vulnerability and age (r = 0.302; P < 0.001), SBP (r = 0.163; P < 0.001), and NLR (r = 0.087; P = 0.034), while the lymphocyte was negatively related to the carotid plaque vulnerability (r = −0.089; P = 0.030). The multivariate logistic regression analysis adjusted for confounding factors revealed that age (odds ratio [OR], 1.042; 95% confidence interval [CI], 1.025-1.060; P < 0.001), male gender (OR, 2.005; 95% CI, 1.394-2.884; P < 0.001), diabetes (OR, 1.481; 95% CI, 1.021-2.149; P = 0.039), SBP (OR, 1.012; 95% CI, 1.003-1.021; P = 0.010), and NLR (OR, 1.098; 95% CI, 1.018-1.184; P = 0.015) are independent predictors of vulnerable carotid plaque in patients with AIS. Conclusion The admission NLR is a novel and meaningful biomarker that can be used in predicting carotid plaque vulnerability and the presence of vulnerable carotid plaque assessed by carotid ultrasonography in patients with AIS among Chinese.
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18
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Anagnostakou V, Ughi GJ, Puri AS, Gounis MJ. Optical Coherence Tomography for Neurovascular Disorders. Neuroscience 2021; 474:134-144. [PMID: 34126186 DOI: 10.1016/j.neuroscience.2021.06.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 06/03/2021] [Accepted: 06/06/2021] [Indexed: 11/26/2022]
Abstract
Diagnosis of cerebrovascular disease includes vascular neuroimaging techniques such as computed tomography (CT) angiography, magnetic resonance (MR) angiography (with or without use of contrast agents) and catheter digital subtraction angiography (DSA). These techniques provide mostly information about the vessel lumen. Vessel wall imaging with MR seeks to characterize cerebrovascular pathology, but with resolution that is often insufficient for small lesions. Intravascular imaging techniques such as ultrasound and optical coherence tomography (OCT), used for over a decade in the peripheral circulation, is not amendable to routine deployment in the intracranial circulation due to vessel caliber and tortuosity. However, advances in OCT technology including the probe profile, stiffness and unique distal rotation solution, holds the promise for eventual translation of OCT into the clinical arena. As such, it is apropos to review this technology and present the rationale for utilization of OCT in the cerebrovasculature.
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Affiliation(s)
- Vania Anagnostakou
- University of Massachusetts Medical School, Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, United States
| | - Giovanni J Ughi
- University of Massachusetts Medical School, Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, United States
| | - Ajit S Puri
- University of Massachusetts Medical School, Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, United States
| | - Matthew J Gounis
- University of Massachusetts Medical School, Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, United States.
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Aranzulla TC, Piazza S, Ricotti A, Musumeci G, Gaggiano A. CARotid plaqUe StabilizatiOn and regression with evolocumab: Rationale and design of the CARUSO study. Catheter Cardiovasc Interv 2021; 98:E115-E121. [PMID: 33893754 DOI: 10.1002/ccd.29743] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/06/2021] [Accepted: 04/16/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND While the experience with PCSK9i in patients with coronary artery disease has been wide, and coronary plaque regression has been documented, little is known regarding the role of these drugs on carotid plaque regression. The CARotid plaqUe StabilizatiOn and regression with evolocumab (CARUSO) study is a randomized, single-center, investigator-initiated trial aiming at evaluating carotid plaque morphological stabilization and regression following, respectively, 6 and 12 months of therapy with evolocumab. METHODS Asymptomatic patients with uni- or bilateral de novo carotid artery stenosis ≥50% and LDL-C values ≥100 mg/dl despite maximum tolerated lipid lowering therapy (LLT) will be randomized to evolocumab 140 mg s.c. every 2 weeks on top of ongoing LLT, or no additional treatment. 100 patients (50 in each arm) will be enrolled. Serial carotid duplex ultra-sonography will be performed to monitor the carotid plaque morphology and stenosis over time. RESULTS The primary end point of the study is, (a) carotid plaque morphological stabilization at 6 months, defined as defined as the disappearance of ulcerations and fluffy components and the achievement of a regular plaque morphology with prevalence of fibrous atheroma and/or (b) carotid plaque regression at 12 months, defined as reduction of the entity of the stenosis and/or peak systolic velocity by at least 5%, as compared with baseline. CONCLUSION The CARUSO trial will test the superiority of evolocumab on top of ongoing LLT versus ongoing LLT alone regarding carotid plaque morphological stabilization and regression. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
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Affiliation(s)
| | - Salvatore Piazza
- Vascular Surgery Department, A. O. Ordine Mauriziano di Torino, Turin, Italy
| | - Andrea Ricotti
- Health Department, A. O. Ordine Mauriziano di Torino, Turin, Italy
| | - Giuseppe Musumeci
- Cardiology Department, A. O. Ordine Mauriziano di Torino, Turin, Italy
| | - Andrea Gaggiano
- Vascular Surgery Department, A. O. Ordine Mauriziano di Torino, Turin, Italy
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Sato W, Suto Y, Yamanaka T, Watanabe H. An advanced ultrasound application used to assess peripheral vascular diseases: superb microvascular imaging. J Echocardiogr 2021; 19:150-157. [PMID: 33856650 DOI: 10.1007/s12574-021-00527-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/02/2021] [Accepted: 03/31/2021] [Indexed: 11/29/2022]
Abstract
Over the past several years, a novel ultrasound imaging modality termed superb microvascular imaging (SMI) has enabled visualization of microvessels. SMI ultrasound studies of peripheral artery diseases have significantly extended our knowledge of tissue microcirculation and the arterial microenvironments of atherosclerotic lesions. We here present an overview of current knowledge on the utility of SMI assessment of vascular diseases and highlight certain peripheral microcirculation disorders for which SMI is particularly valuable. The evidence indicates that SMI can detect intraplaque neovascularization and usefully assess carotid plaque vulnerability; vascularization of the carotid arterial wall detected by SMI is a potential marker of disease activity in patients with Takayasu arteritis; SMI reveals the foot microcirculation and yields a quantitative vascular index (in line with the angiosome concept); and, SMI may serve as an auxiliary diagnostic modality for hereditary hemorrhagic telangiectasia and Raynaud syndrome. In general, microcirculatory evaluation by SMI is an attractive field for future research on therapeutic strategies for peripheral vascular diseases.
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Affiliation(s)
- Wakana Sato
- Department of Cardiovascular Medicine, Akita University Graduate School of Medicine, 1-1-1, Hondoh, Akita, 010-8543, Japan
| | - Yuta Suto
- Department of Cardiovascular Medicine, Akita University Graduate School of Medicine, 1-1-1, Hondoh, Akita, 010-8543, Japan
| | - Takayuki Yamanaka
- Department of Cardiovascular Medicine, Akita University Graduate School of Medicine, 1-1-1, Hondoh, Akita, 010-8543, Japan
| | - Hiroyuki Watanabe
- Department of Cardiovascular Medicine, Akita University Graduate School of Medicine, 1-1-1, Hondoh, Akita, 010-8543, Japan.
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Wang D, Yao Y, Wang S, Zhang H, He ZX. The Availability of the α7-Nicotinic Acetylcholine Receptor in Early Identification of Vulnerable Atherosclerotic Plaques: A Study Using a Novel 18F-Label Radioligand PET. Front Bioeng Biotechnol 2021; 9:640037. [PMID: 33777911 PMCID: PMC7994753 DOI: 10.3389/fbioe.2021.640037] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 01/14/2021] [Indexed: 11/17/2022] Open
Abstract
Background: It has been confirmed that the α7-nicotinic acetylcholine receptor (α7nAChR) is an important target for identifying vulnerable atherosclerotic plaques. Previously, we successfully designed and synthesized a series of 18F-labeled PET molecular probes targeting α7nAChR, which are mainly used in the diagnosis of Alzheimer's disease. Based on the characteristics of α7nAChR in blood vessels, we have firstly screened for a suitable novel 18F-labeled PET molecular probe ([18F]YLF-DW), with high selectivity for α7nAChR over α4β2nAChR and a good effect for the imaging of atherosclerotic animal models, to effectively identify vulnerable atherosclerotic plaques at an early stage. Meanwhile, we compared it with the “gold standard” pathological examination of atherosclerosis, to verify the reliability of [18F]YLF-DW in early diagnosis of atherosclerosis. Methods: The vulnerable atherosclerotic plaques model of ApoE-/-mice were successfully established. Then based on the methods of 3D-QSAR and molecular docking, we designed oxazolo[4,5-b] pyridines and fluorenone compounds, which are targeted at α7nAChR. Through further screening, a novel alpha7 nicotinic acetylcholine receptor radioligand ([18F]YLF-DW) was synthesized and automatically 18F-labeled using a Stynthra RNplus module. Subsequently, we employed [18F]YLF-DW for the targeting of α7nAChR in atherosclerotic plaques and control group, using a micro-PET/CT respectively. After imaging, the mice were sacrificed by air embolism and the carotid arteries taken out for making circular sections. The paraffin embedded specimens were sectioned with 5 μm thickness and stained with oil red. After staining, immunohistochemistry experiment was carried out to verify the effect of micro-PET/CT imaging. Results: The micro-PET/CT imaging successfully identified the vulnerable atherosclerotic plaques in the carotid arteries of ApoE-/-mice; whereas, no signal was observed in normal control mice. In addition, compared with the traditional imaging agent [18F]FDG, [18F]YLF-DW had a significant effect on the early plaques imaging of carotid atherosclerosis. The results of oil red staining and immunohistochemistry also showed early formations of carotid plaques in ApoE-/-mice and provided pathological bases for the evaluation of imaging effect. Conclusion: We innovated to apply the novel molecular probe ([18F]YLF-DW) to the identification of vulnerable atherosclerotic plaques in carotid arteries, to detect atherosclerosis early inflammatory response and provide powerful input for the early diagnosis of atherosclerotic lesions, which may play an early warning role in cardiovascular acute events.
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Affiliation(s)
- Dawei Wang
- State Key Laboratory of Cardiovascular Disease, Department of Nuclear Medicine, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Yao
- State Key Laboratory of Cardiovascular Disease, Department of Nuclear Medicine, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuxia Wang
- Key Laboratory of Radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, China
| | - Huabei Zhang
- Key Laboratory of Radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, China
| | - Zuo-Xiang He
- Department of Nuclear Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
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22
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Timmerman N, Galyfos G, Sigala F, Thanopoulou K, de Borst GJ, Davidovic L, Eckstein HH, Filipovic N, Grugni R, Kallmayer M, de Kleijn DPV, Koncar I, Mantzaris MD, Marchal E, Matsagkas M, Mutavdzic P, Palombo D, Pasterkamp G, Potsika VT, Andreakos E, Fotiadis DI. The TAXINOMISIS Project: A multidisciplinary approach for the development of a new risk stratification model for patients with asymptomatic carotid artery stenosis. Eur J Clin Invest 2020; 50:e13411. [PMID: 32954520 PMCID: PMC7757200 DOI: 10.1111/eci.13411] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 08/21/2020] [Accepted: 08/23/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Asymptomatic carotid artery stenosis (ACAS) may cause future stroke and therefore patients with ACAS require best medical treatment. Patients at high risk for stroke may opt for additional revascularization (either surgery or stenting) but the future stroke risk should outweigh the risk for peri/post-operative stroke/death. Current risk stratification for patients with ACAS is largely based on outdated randomized-controlled trials that lack the integration of improved medical therapies and risk factor control. Furthermore, recent circulating and imaging biomarkers for stroke have never been included in a risk stratification model. The TAXINOMISIS Project aims to develop a new risk stratification model for cerebrovascular complications in patients with ACAS and this will be tested through a prospective observational multicentre clinical trial performed in six major European vascular surgery centres. METHODS AND ANALYSIS The risk stratification model will compromise clinical, circulating, plaque and imaging biomarkers. The prospective multicentre observational study will include 300 patients with 50%-99% ACAS. The primary endpoint is the three-year incidence of cerebrovascular complications. Biomarkers will be retrieved from plasma samples, brain MRI, carotid MRA and duplex ultrasound. The TAXINOMISIS Project will serve as a platform for the development of new computer tools that assess plaque progression based on radiology images and a lab-on-chip with genetic variants that could predict medication response in individual patients. CONCLUSION Results from the TAXINOMISIS study could potentially improve future risk stratification in patients with ACAS to assist personalized evidence-based treatment decision-making.
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Affiliation(s)
- Nathalie Timmerman
- Department of Vascular Surgery, Division of Surgical Specialties, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - George Galyfos
- First Propedeutic Department of Surgery, National and Kapodistrian University of Athens, Athens, Greece
| | - Fragiska Sigala
- First Propedeutic Department of Surgery, National and Kapodistrian University of Athens, Athens, Greece
| | - Kalliopi Thanopoulou
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Gert J de Borst
- Department of Vascular Surgery, Division of Surgical Specialties, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Lazar Davidovic
- Clinic for Vascular and Endovascular Surgery, Serbian Clinical Center, Belgrade, Serbia.,School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Hans-Henning Eckstein
- Clinic and Policlinik for vascular and endovascular Surgery, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Nenad Filipovic
- BioIRC, Research and Development Center for Bioengieering, Kragujevac, Serbia.,Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
| | | | - Michael Kallmayer
- Clinic and Policlinik for vascular and endovascular Surgery, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Dominique P V de Kleijn
- Department of Vascular Surgery, Division of Surgical Specialties, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Igor Koncar
- Clinic for Vascular and Endovascular Surgery, Serbian Clinical Center, Belgrade, Serbia.,School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Michalis D Mantzaris
- Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
| | | | - Miltiadis Matsagkas
- Department of Vascular Surgery, Faculty of Medicine, University of Thessaly, Thessaly, Greece
| | - Perica Mutavdzic
- Clinic for Vascular and Endovascular Surgery, Serbian Clinical Center, Belgrade, Serbia
| | - Domenico Palombo
- Division of Vascular and Endovascular Surgery, IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
| | - Gerard Pasterkamp
- Division Laboratories and Pharmacy, Laboratory of Clinical Chemistry and Hematology, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Vassiliki T Potsika
- Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
| | - Evangelos Andreakos
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Dimitrios I Fotiadis
- Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece.,Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
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23
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Age and Sex Differences in Cerebral Circulation in Patients with Cerebral Atherosclerosis and Diabetes mellitus. Fam Med 2020. [DOI: 10.30841/2307-5112.4.2020.217935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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24
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Grubic N, Colledanchise KN, Liblik K, Johri AM. The Role of Carotid and Femoral Plaque Burden in the Diagnosis of Coronary Artery Disease. Curr Cardiol Rep 2020; 22:121. [PMID: 32778953 DOI: 10.1007/s11886-020-01375-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
PURPOSE OF REVIEW With limitations of cardiovascular disease risk stratification by traditional risk factors, the role of noninvasive imaging techniques, such as vascular ultrasound, has emerged as a prominent utility for decision-making in coronary artery disease. A review of current guidelines and contemporary approaches for carotid and femoral plaque assessment is needed to better inform the diagnosis, management, and treatment of atherosclerosis in clinical practice. RECENT FINDINGS The recent consensus-based guidelines for carotid plaque assessment in coronary artery disease have been established, supported by some outcomes-based research. Currently, there is a gap of evidence on the use of femoral ultrasound to detect atherosclerosis, as well as predict adverse cardiovascular outcomes. The quantification and characterization of individualized plaque burden are important to stratify risk in asymptomatic or symptomatic atherosclerosis patients. Standardized quantification guidelines, supported by further outcomes-based research, are required to assess disease severity and progression.
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Affiliation(s)
- Nicholas Grubic
- Department of Medicine, Division of Cardiology, CINQ, Queen's University, 76 Stuart Street, FAPC 3, Kingston, ON, K7L 2V7, Canada.,Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Kayla N Colledanchise
- Department of Medicine, Division of Cardiology, CINQ, Queen's University, 76 Stuart Street, FAPC 3, Kingston, ON, K7L 2V7, Canada
| | - Kiera Liblik
- Department of Medicine, Division of Cardiology, CINQ, Queen's University, 76 Stuart Street, FAPC 3, Kingston, ON, K7L 2V7, Canada
| | - Amer M Johri
- Department of Medicine, Division of Cardiology, CINQ, Queen's University, 76 Stuart Street, FAPC 3, Kingston, ON, K7L 2V7, Canada.
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25
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Johri AM, Nambi V, Naqvi TZ, Feinstein SB, Kim ESH, Park MM, Becher H, Sillesen H. Recommendations for the Assessment of Carotid Arterial Plaque by Ultrasound for the Characterization of Atherosclerosis and Evaluation of Cardiovascular Risk: From the American Society of Echocardiography. J Am Soc Echocardiogr 2020; 33:917-933. [PMID: 32600741 DOI: 10.1016/j.echo.2020.04.021] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Atherosclerotic plaque detection by carotid ultrasound provides cardiovascular disease risk stratification. The advantages and disadvantages of two-dimensional (2D) and three-dimensional (3D) ultrasound methods for carotid arterial plaque quantification are reviewed. Advanced and emerging methods of carotid arterial plaque activity and composition analysis by ultrasound are considered. Recommendations for the standardization of focused 2D and 3D carotid arterial plaque ultrasound image acquisition and measurement for the purpose of cardiovascular disease stratification are formulated. Potential clinical application towards cardiovascular risk stratification of recommended focused carotid arterial plaque quantification approaches are summarized.
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Affiliation(s)
| | | | | | | | - Esther S H Kim
- Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret M Park
- Cleveland Clinic Heart and Vascular Institute, Cleveland, Ohio
| | - Harald Becher
- University of Alberta Hospital, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada
| | - Henrik Sillesen
- Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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26
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Zhu G, Hom J, Li Y, Jiang B, Rodriguez F, Fleischmann D, Saloner D, Porcu M, Zhang Y, Saba L, Wintermark M. Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease. Cardiovasc Diagn Ther 2020; 10:1048-1067. [PMID: 32968660 DOI: 10.21037/cdt.2020.03.10] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Carotid artery plaque is a measure of atherosclerosis and is associated with future risk of atherosclerotic cardiovascular disease (ASCVD), which encompasses coronary, cerebrovascular, and peripheral arterial diseases. With advanced imaging techniques, computerized tomography (CT) and magnetic resonance imaging (MRI) have shown their potential superiority to routine ultrasound to detect features of carotid plaque vulnerability, such as intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous cap (FC), and calcification. The correlation between imaging features and histological changes of carotid plaques has been investigated. Imaging of carotid features has been used to predict the risk of cardiovascular events. Other techniques such as nuclear imaging and intra-vascular ultrasound (IVUS) have also been proposed to better understand the vulnerable carotid plaque features. In this article, we review the studies of imaging specific carotid plaque components and their correlation with risk scores.
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Affiliation(s)
- Guangming Zhu
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jason Hom
- Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Ying Li
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.,Clinical Medical Research Center, Luye Pharma Group Ltd., Beijing 100000, China
| | - Bin Jiang
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Palo Alto, CA, USA
| | - Dominik Fleischmann
- Department of Radiology, Cardiovascular Imaging Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - David Saloner
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Michele Porcu
- Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - Yanrong Zhang
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Luca Saba
- Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - Max Wintermark
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
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27
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Murgia A, Balestrieri A, Francone M, Lucatelli P, Scapin E, Buckler A, Micheletti G, Faa G, Conti M, Suri JS, Guglielmi G, Carriero A, Saba L. Plaque imaging volume analysis: technique and application. Cardiovasc Diagn Ther 2020; 10:1032-1047. [PMID: 32968659 PMCID: PMC7487381 DOI: 10.21037/cdt.2020.03.01] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 02/15/2020] [Indexed: 12/12/2022]
Abstract
The prevention and management of atherosclerosis poses a tough challenge to public health organizations worldwide. Together with myocardial infarction, stroke represents its main manifestation, with up to 25% of all ischemic strokes being caused by thromboembolism arising from the carotid arteries. Therefore, a vast number of publications have focused on the characterization of the culprit lesion, the atherosclerotic plaque. A paradigm shift appears to be taking place at the current state of research, as the attention is gradually moving from the classically defined degree of stenosis to the identification of features of plaque vulnerability, which appear to be more reliable predictors of recurrent cerebrovascular events. The present review will offer a perspective on the present state of research in the field of carotid atherosclerotic disease, focusing on the imaging modalities currently used in the study of the carotid plaque and the impact that such diagnostic means are having in the clinical setting.
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Affiliation(s)
- Alessandro Murgia
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato, s.s. 554 Monserrato (Cagliari) 09045, Italy
| | - Antonella Balestrieri
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato, s.s. 554 Monserrato (Cagliari) 09045, Italy
| | - Marco Francone
- Department of Radiological, Oncological and Anatomopathological Sciences-Radiology, ‘Sapienza’ University of Rome, Rome, Italy
| | - Pierleone Lucatelli
- Department of Radiological, Oncological and Anatomopathological Sciences-Radiology, ‘Sapienza’ University of Rome, Rome, Italy
| | - Elisa Scapin
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato, s.s. 554 Monserrato (Cagliari) 09045, Italy
| | | | - Giulio Micheletti
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato, s.s. 554 Monserrato (Cagliari) 09045, Italy
| | - Gavino Faa
- Department of Pathology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo San Giovanni di Dio, Cagliari (Cagliari) 09045, Italy
| | - Maurizio Conti
- Diagnostic and Monitoring Division, AtheroPoint™ LLC, Roseville, CA, USA
- Department of Electrical Engineering, U of Idaho (Affl.), Idaho, USA
| | - Jasjit S. Suri
- Diagnostic and Monitoring Division, AtheroPoint™ LLC, Roseville, CA, USA
- Department of Electrical Engineering, U of Idaho (Affl.), Idaho, USA
| | | | - Alessandro Carriero
- Department of Radiology, Maggiore della Carità Hospital, Università del Piemonte Orientale, Novara, Italy
| | - 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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28
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Fu Q, Wang X, Wu T, Wang R, Wu X, Wang Y, Feng Z. Carotid atherosclerosis biomarkers in cardiovascular diseases prevention: A systematic review and bibliometric analysis. Eur J Radiol 2020; 129:109133. [PMID: 32610187 DOI: 10.1016/j.ejrad.2020.109133] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 02/09/2020] [Accepted: 06/12/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE While carotid atherosclerosis (CA) biomarkers are valuable surrogates for cardiovascular events, their inadequate utility is highlighted by clinical practice. We performed an interdisciplinary systematic review and bibliometric analysis to identify the knowledge gaps and offer directions for future research. METHODS We applied a comprehensive search strategy to construct a representative dataset of the bibliographic records of CA from 1997 to 2018. A total of 31,793 retrieved articles and 407,473 cited references were included in the analysis. The co-word network and co-citation network were derived to describe the major disciplines and topics of CA research. Milestones detected by burst analysis were reviewed to delineate the evolutionary patterns and emerging trends of research on CA biomarkers. RESULTS CA is a multidisciplinary field of study which could be divided into 3 communities: the primary prevention of CVD, the secondary prevention of CVD and imaging techniques to characterize carotid atherosclerosis. The evolution of a CA biomarker may go through 3 stages: the conceptualization stage, the validation stage and the reclassification stage. Measurements that include different CA plaque features, rather than separately, have shown greater value for cardiovascular risk or clinical decision-making. CONCLUSIONS Although wide variability exists in the evolutionary stages of CA biomarkers, combined evaluation of CA plaque imaging features shows potential value to improve risk prediction and clinical decision-making for CVD prevention.
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Affiliation(s)
- Qian Fu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Xiaojun Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Tailai Wu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Ruoxi Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Xiang Wu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Yang Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China.
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29
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Saxena A, Ng E, Lim ST. Active dynamic thermography to detect the presence of stenosis in the carotid artery. Comput Biol Med 2020; 120:103718. [DOI: 10.1016/j.compbiomed.2020.103718] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/20/2020] [Accepted: 03/20/2020] [Indexed: 01/14/2023]
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30
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de Donato G, Pasqui E, Alba G, Giannace G, Panzano C, Cappelli A, Setacci C, Palasciano G. Clinical considerations and recommendations for OCT-guided carotid artery stenting. Expert Rev Cardiovasc Ther 2020; 18:219-229. [PMID: 32294392 DOI: 10.1080/14779072.2020.1756777] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Introduction: Optical Coherence Tomography (OCT) is an intravascular imaging providing high-resolution images of morphological features of arterial wall. Nowadays, OCT is an accepted intravascular modality to study coronary arteries, stent implantation, and vessel injury. In the last decade, an increasing interest have been focused on the application of OCT in carotid arteries.Areas covered: Literature evidence in the application of OCT in carotid arteries still remains debated. So far, OCT has been used as a research tool, aiming to evaluate atherosclerotic plaques' features and stents' behavior after implantation. This paper is intended to summarize clinical evidences and practices in the use of OCT in carotid arteries district and during CAS procedures. Literature review was completed via Pubmed search using Keywords.Expert opinion: CAS is a safe and effective procedure when performed by trained physicians with a tailored approach. In this scenario, ambiguous pictures at ultrasound, angiography, and IVUS might be clarified using OCT.By providing unprecedented microstructural information on atherosclerotic plaques, OCT may identify the features of vulnerable carotid plaque and, by identifying possible defects after stent implantation as malapposition and plaque prolapse, it may help the tailoring approach to CAS.
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Affiliation(s)
| | - Edoardo Pasqui
- Department of Vascular Surgery, University of Siena, Siena, Italy
| | - Giuseppe Alba
- Department of Vascular Surgery, University of Siena, Siena, Italy
| | | | - Claudia Panzano
- Department of Vascular Surgery, University of Siena, Siena, Italy
| | | | - Carlo Setacci
- Department of Vascular Surgery, University of Siena, Siena, Italy
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31
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Huang S, Yu X, Wang H, Zheng J. Elevated serum sortilin is related to carotid plaque concomitant with calcification. Biomark Med 2020; 14:381-389. [PMID: 32077308 DOI: 10.2217/bmm-2019-0472] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Aim: To explore whether elevated serum sortilin was associated with calcified carotid plaque and ischemic stroke. Methods: A total of 171 patients with cardiovascular risk factors were enrolled. Ultrasonography was performed to evaluate calcified plaques and noncalcified plaques. Serum sortilin concentration was measured by ELISA. Results: Serum sortilin level was higher in patients with calcified carotid plaque and positively related to carotid plaque burden, but not with ischemic stroke during the follow-up. Multivariable logistic regression analysis revealed serum sortilin level was an independent determinant for calcified carotid plaque (p = 0.001). Receiving operating characteristic analysis showed an area under the curve of sortilin for carotid calcification was 0.759. Conclusion: Higher serum sortilin level was associated with carotid calcification and severe carotid plaque score.
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Affiliation(s)
- Shanshan Huang
- Department of Ultrasound, Shenzhen Second People’s Hospital/the First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen 518035, Guangdong, PR China
| | - Xingxing Yu
- Department of Internal Medicine, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, Zhejiang, PR China
| | - Haiqing Wang
- Department of Cardiology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, Zhejiang, PR China
| | - Jianlei Zheng
- Department of Cardiology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, Zhejiang, PR China
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32
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Kubátová H, Poledne R, Piťha J. Immune cells in carotid artery plaques: what can we learn from endarterectomy specimens? INT ANGIOL 2019; 39:37-49. [PMID: 31782285 DOI: 10.23736/s0392-9590.19.04250-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Endarterectomy specimens represent a unique opportunity to study atherosclerosis. This review aims to summarize the recent knowledge of atherogenesis from studies characterizing a cellular composition of carotid endarterectomy specimens. EVIDENCE ACQUISITION A non-systematic literature review was carried out to summarize recent knowledge regarding ex vivo analysis of carotid artery plaque composition. Upon evaluation of their relevance, and elaborate forward and backward search, 95 articles were included in the review. EVIDENCE SYNTHESIS Despite the significant advancement of in vivo imaging techniques, the stroke prediction based on carotid artery plaque morphology is not reliable. Besides analyses of plaque morphology, present studies focus on precise characterization of the different immune cell types and elucidation of their role in plaque development. Plaque content analyses revealed the presence of various immune cells in carotid artery plaques. Presence of different immune cells subpopulations can be connected to some undesirable changes in plaque stability. CONCLUSIONS Since the destabilization of the atherosclerotic plaque is a multifactorial process, a combination of various methods should be used to characterize the unstable plaques more accurately. In this context, studies characterizing plaque content from a cellular point of view could elucidate some processes underlying the plaque progression. Together with morphological evaluation, these analyses could enable more precise assessment of plaque stability.
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Affiliation(s)
- Hana Kubátová
- Atherosclerosis Research Laboratory, Experimental Medicine Center, Institute for Clinical and Experimental Medicine, Prague, Czech Republic - .,Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic -
| | - Rudolf Poledne
- Atherosclerosis Research Laboratory, Experimental Medicine Center, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jan Piťha
- Atherosclerosis Research Laboratory, Experimental Medicine Center, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.,Department of Internal Medicine, Second Medical Faculty, Charles University in Prague and Motol University Hospital, Prague, Czech Republic
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33
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Saxena A, Saha V, Ng EYK. Skin temperature maps as a measure of carotid artery stenosis. Comput Biol Med 2019; 116:103548. [PMID: 31760270 DOI: 10.1016/j.compbiomed.2019.103548] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 11/05/2019] [Accepted: 11/14/2019] [Indexed: 01/12/2023]
Abstract
In this study, the effect of carotid artery stenosis on the neck skin temperature maps was investigated. With the presence of stenosis, alterations in the carotid artery hemodynamics bring about changes in the heat transfer to the surrounding tissue. This is expected to be captured in the resulting temperature map over the external neck skin surface; possibly it correlates to the presence of stenosis. A total of twenty carotid artery samples, from ten patients with both sides normal (0% stenosis), stenosis (>50%) on one side, and stenosis (>50%) on both sides, were studied. Duplex Ultrasound and infrared (IR) thermography examinations were performed. A computational study, on an ideal 3-dimensional (3D) carotid artery and jugular vein model encapsulated with a solid neck tissue phantom resembling the human neck, was carried out. Incorporating the patient-specific geometrical (depth of artery and stenosis) and flow (peak systolic and end diastolic inlet velocity) boundary conditions, conjugate bio-heat transfer was studied using a finite volume numerical scheme. Simulation results and in-vivo thermal maps show that the average temperature on the external neck skin surface is significantly higher for normal patients (32.82 ± 0.53 °C versus 32.00 ± 0.37 °C, p < 0.001). Furthermore, the thermal region of interests (TROIs) were extracted from the in-vivo thermal images, which both qualitatively and quantitatively distinguish the normal and diseased cases. This study suggests the potential of thermal feature-based screening of patients with carotid artery stenosis.
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Affiliation(s)
- Ashish Saxena
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
| | - Vedabit Saha
- Department of Mechanical Engineering, Manipal University Jaipur, India
| | - Eddie Yin Kwee Ng
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.
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34
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Atherosclerosis and the Structural and Functional State of the Vessels of the Carotid and Vertebro-basilar Basins. Fam Med 2019. [DOI: 10.30841/2307-5112.4.2019.185054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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35
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Garoff M, Ahlqvist J, Edin LT, Jensen S, Levring Jäghagen E, Petäjäniemi F, Wester P, Johansson E. Bilateral vessel-outlining carotid artery calcifications in panoramic radiographs: an independent risk marker for vascular events. BMC Cardiovasc Disord 2019; 19:225. [PMID: 31619183 PMCID: PMC6796463 DOI: 10.1186/s12872-019-1211-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Accepted: 09/26/2019] [Indexed: 12/27/2022] Open
Abstract
Background In odontology, panoramic radiographs (PRs) are regularly performed. PRs depict the teeth and jaws as well as carotid artery calcifications (CACs). Patients with CACs on PRs have an increased risk of vascular events compared to healthy controls without CACs, but this association is often caused by more vascular events and risk factors at baseline. However, the risk of vascular events has only been analyzed based on the presence of CACs, and not their shape. Thus, this study determined if the shape of CACs in PRs affects the risk of future vascular events. Methods The study cohort included 117 consecutive patients with CACs in PRs and 121 age-matched controls without CACs. CAC shape in PRs was dichotomized into bilateral vessel-outlining CACs and other CAC shapes. Participants were followed prospectively for an endpoint of vascular events including myocardial infarction, stroke, and vascular death. Results Patients with bilateral vessel-outlining CACs had more previous vascular events than those with other CAC shapes and the healthy controls (p < 0.001, χ2). The mean follow-up duration was 9.5 years. The endpoint was reached in 83 people. Patients with bilateral vessel-outlining CACs had a higher annual risk of vascular events (7.0%) than those with other CAC shapes (4.4%) and the controls (2.6%) (p < 0.001). In multivariate analysis, bilateral vessel-outlining CACs (hazard ratio: 2.2, 95% confidence interval: 1.1–4.5) were independent risk markers for the endpoint. Conclusions Findings of bilateral vessel-outlining CACs in PRs are independent risk markers for future vascular events.
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Affiliation(s)
- Maria Garoff
- Department of Odontology/Oral and Maxillofacial Radiology, Umeå University, SE-901 87, Umeå, Sweden.
| | - Jan Ahlqvist
- Department of Odontology/Oral and Maxillofacial Radiology, Umeå University, SE-901 87, Umeå, Sweden
| | - Linda-Tereza Edin
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Sofia Jensen
- Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - Eva Levring Jäghagen
- Department of Odontology/Oral and Maxillofacial Radiology, Umeå University, SE-901 87, Umeå, Sweden
| | - Fredrik Petäjäniemi
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Per Wester
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,Department of Clinical Sciences, Danderyd hospital, Stockholm, Sweden
| | - Elias Johansson
- Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
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Assessing carotid plaque neovascularity and calcifications in patients prior to endarterectomy. J Vasc Surg 2019; 70:1137-1144. [DOI: 10.1016/j.jvs.2019.02.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 02/02/2019] [Indexed: 12/27/2022]
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Saxena A, Ng EYK, Lim ST. Infrared (IR) thermography as a potential screening modality for carotid artery stenosis. Comput Biol Med 2019; 113:103419. [PMID: 31493579 DOI: 10.1016/j.compbiomed.2019.103419] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/27/2019] [Accepted: 08/27/2019] [Indexed: 11/19/2022]
Abstract
In the present study, an infrared (IR) thermal camera was used to map the temperature of the target skin surface, and the resulting thermal image was evaluated for the presence of carotid artery stenosis (CAS). In the presence of stenosis in the carotid artery, abnormal temperature maps are expected to occur on the external skin surface, which could be captured and quantified using IR thermography. A Duplex Ultrasound (DUS) examination was used to establish the ground truth. In each patient, the background-subtracted thermal image, referred to as full thermal image, was used to extract novel parametric cold thermal feature images. From these images, statistical features, viz., correlation, energy, homogeneity, contrast, entropy, mean, standard deviation (SD), skewness, and kurtosis, were calculated and the two groups of patients (control and diseased: a total of 80 carotid artery samples) were classified. Both cut-off value- and support vector machine (SVM)-based binary classification models were tested. While the cut-off value classification model resulted in a moderate performance (70% accurate), SVM was found to have classified the patients with high accuracy (92% or higher). This preliminary study suggests the potential of IR thermography as a possible screening tool for CAS patients.
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Affiliation(s)
- Ashish Saxena
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
| | - E Y K Ng
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore.
| | - Soo Teik Lim
- Department of Cardiology, National Heart Center Singapore, 5 Hospital Dr, 169609, Singapore
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Pasarikovski CR, Ramjist J, da Costa L, Black SE, Cardinell J, Yang VXD. Optical Coherence Tomography as an Adjunct During Carotid Artery Stenting for Carotid Atherosclerotic Disease. Clin Neuroradiol 2019; 30:503-509. [DOI: 10.1007/s00062-019-00799-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 05/13/2019] [Indexed: 11/29/2022]
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Saxena A, Ng EYK, Lim ST. Imaging modalities to diagnose carotid artery stenosis: progress and prospect. Biomed Eng Online 2019; 18:66. [PMID: 31138235 PMCID: PMC6537161 DOI: 10.1186/s12938-019-0685-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 05/17/2019] [Indexed: 12/25/2022] Open
Abstract
In the past few decades, imaging has been developed to a high level of sophistication. Improvements from one-dimension (1D) to 2D images, and from 2D images to 3D models, have revolutionized the field of imaging. This not only helps in diagnosing various critical and fatal diseases in the early stages but also contributes to making informed clinical decisions on the follow-up treatment profile. Carotid artery stenosis (CAS) may potentially cause debilitating stroke, and its accurate early detection is therefore important. In this paper, the technical development of various CAS diagnosis imaging modalities and its impact on the clinical efficacy is thoroughly reviewed. These imaging modalities include duplex ultrasound (DUS), computed tomography angiography (CTA) and magnetic resonance angiography (MRA). For each of the imaging modalities considered, imaging methodology (principle), critical imaging parameters, and the extent of imaging the vulnerable plaque are discussed. DUS is usually the initial recommended CAS diagnostic examination. However, for the therapeutic intervention, either MRA or CTA is recommended for confirmation, and for added information on intracranial cerebral circulation and aortic arch condition for procedural planning. Over the past few decades, the focus of CAS diagnosis has also shifted from pure stenosis quantification to plaque characterization. This has led to further advancement in the existing imaging tools and development of other potential imaging tools like Optical coherence tomography (OCT), photoacoustic tomography (PAT), and infrared (IR) thermography.
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Affiliation(s)
- Ashish Saxena
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, Block N3, Singapore, 639798, Singapore
| | - Eddie Yin Kwee Ng
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, Block N3, Singapore, 639798, Singapore.
| | - Soo Teik Lim
- Department of Cardiology, National Heart Center Singapore, 5 Hospital Dr, Singapore, 169609, Singapore
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Saba L, Saam T, Jäger HR, Yuan C, Hatsukami TS, Saloner D, Wasserman BA, Bonati LH, Wintermark M. Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. Lancet Neurol 2019; 18:559-572. [PMID: 30954372 DOI: 10.1016/s1474-4422(19)30035-3] [Citation(s) in RCA: 260] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 01/03/2019] [Accepted: 01/04/2019] [Indexed: 01/15/2023]
Abstract
Stroke represents a massive public health problem. Carotid atherosclerosis plays a fundamental part in the occurence of ischaemic stroke. European and US guidelines for prevention of stroke in patients with carotid plaques are based on quantification of the percentage reduction in luminal diameter due to the atherosclerotic process to select the best therapeutic approach. However, better strategies for prevention of stroke are needed because some subtypes of carotid plaques (eg, vulnerable plaques) can predict the occurrence of stroke independent of the degree of stenosis. Advances in imaging techniques have enabled routine characterisation and detection of the features of carotid plaque vulnerability. Intraplaque haemorrhage is accepted by neurologists and radiologists as one of the features of vulnerable plaques, but other characteristics-eg, plaque volume, neovascularisation, and inflammation-are promising as biomarkers of carotid plaque vulnerability. These biomarkers could change current management strategies based merely on the degree of stenosis.
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Affiliation(s)
- Luca Saba
- Department of Medical Sciences, University of Cagliari, Cagliari, Italy.
| | - Tobias Saam
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany; Radiologisches Zentrum Rosenheim, Rosenheim, Germany
| | - H Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | | | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Bruce A Wasserman
- The Russell H Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Leo H Bonati
- Department of Neurology and Stroke Center, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Max Wintermark
- Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA
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Carotid artery plaque characterization with a wide-detector computed tomography using a dedicated post-processing 3D analysis: comparison with histology. Radiol Med 2019; 124:795-803. [PMID: 30903605 DOI: 10.1007/s11547-019-01026-8] [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: 10/15/2018] [Accepted: 03/11/2019] [Indexed: 10/27/2022]
Abstract
PURPOSE The characterization of atherosclerotic carotid plaque plays a key role in the identification of patients at risk. The aim of our work was to evaluate the potentialities of carotid computed tomography angiography (CCTA) in assessing composition of atherosclerotic plaque. MATERIALS AND METHODS We retrospectively evaluated 29 patients (7 women and 22 men, age range 54-81; mean age 69) who underwent carotid endarterectomy. All patients underwent pre-surgical CCTA using a 320-slice scanner. Post-processing reconstructions and analysis were performed using a specific software. Percentage of three different components of the atherosclerotic plaque (adipose, fibrotic and calcific) were classified based on Hounsfield unit values. Post-processing results were compared with histological analysis. Vessel and plaque parameters were compared using the Pearson correlation coefficient (r). Bland-Altman plots with 95% confidence intervals were calculated for correlation. McNemar's test was used for comparison of dichotomous variables. RESULTS A significant correlation between histology and CCTA was found with respect to the areas corresponding to adipose, fibrotic and calcified plaques. The existence of proportional bias was observed between the two quantifying methods with lower discrepancies found for the adipose and fibrotic plaque areas. The Bland-Altman analyses showed a mean bias of 3.2%, 2.5% and 0.6% between histology and CCTA, for adipose, fibrotic and calcified plaque areas, respectively. CONCLUSIONS Multi-detector CT angiography represents a valuable technique to assess quantitatively the composition of atherosclerotic plaques, with particular reference to the prevalence of fibrotic tissue, and is a useful diagnostic tool to improve risk stratification of patients for cerebral stroke.
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Yan L, Zhou X, Zheng Y, Luo W, Yang J, Zhou Y, He Y. Research progress in ultrasound use for the diagnosis and treatment of cerebrovascular diseases. Clinics (Sao Paulo) 2019; 74:e715. [PMID: 30864640 PMCID: PMC6438134 DOI: 10.6061/clinics/2019/e715] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 10/15/2018] [Indexed: 11/18/2022] Open
Abstract
Cerebrovascular diseases pose a serious threat to human survival and quality of life and represent a major cause of human death and disability. Recently, the incidence of cerebrovascular diseases has increased yearly. Rapid and accurate diagnosis and evaluation of cerebrovascular diseases are of great importance to reduce the incidence, morbidity and mortality of cerebrovascular diseases. With the rapid development of medical ultrasound, the clinical relationship between ultrasound imaging technology and the diagnosis and treatment of cerebrovascular diseases has become increasingly close. Ultrasound techniques such as transcranial acoustic angiography, doppler energy imaging, three-dimensional craniocerebral imaging and ultrasound thrombolysis are novel and valuable techniques in the study of cerebrovascular diseases. In this review, we introduce some of the new ultrasound techniques from both published studies and ongoing trials that have been confirmed to be convenient and effective methods. However, additional evidence from future studies will be required before some of these techniques can be widely applied or recommended as alternatives.
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Affiliation(s)
- Li Yan
- Department of Ultrasonography, Xijing Hospital, The Fourth Military Medical University, Xi’an , China
- Department of Ultrasonography, Xi’an Central Hospital, The Third Affiliated Hospital of JiaoTong University, Xi’an, China
| | - Xiaodong Zhou
- Department of Ultrasonography, Xijing Hospital, The Fourth Military Medical University, Xi’an , China
- Corresponding author. E-mail:
| | - Yu Zheng
- Department of Ultrasonography, Xi’an Central Hospital, The Third Affiliated Hospital of JiaoTong University, Xi’an, China
| | - Wen Luo
- Department of Ultrasonography, Xijing Hospital, The Fourth Military Medical University, Xi’an , China
| | - Junle Yang
- Department of CT & MRI, Xi’an Central Hospital, The Third Affiliated Hospital of JiaoTong University, Xi’an, China
| | - Yin Zhou
- Department of Ultrasonography, Xi’an Central Hospital, The Third Affiliated Hospital of JiaoTong University, Xi’an, China
| | - Yang He
- Department of General Surgery, Xi'an Medical University, Xi'an, China
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Pasarikovski CR, Cardinell J, Yang VXD. Perspective review on applications of optics in cerebral endovascular neurosurgery. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-7. [PMID: 30915784 PMCID: PMC6975230 DOI: 10.1117/1.jbo.24.3.030601] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 02/19/2019] [Indexed: 05/20/2023]
Abstract
Cerebral endovascular neurosurgery has transformed the way we manage cerebrovascular disease. Several landmark trials have demonstrated the effectiveness of endovascular techniques leading to continued technological development and applications for various diseases. The utilization of optical technologies and devices is already underway in the field of endovascular neurosurgery. We discuss the contemporary paradigms, challenges, and current optical applications for the most common cerebrovascular diseases: carotid atherosclerotic disease, cerebral aneurysms, intracranial atherosclerosis, and dural arteriovenous fistulas. We also describe needs-based opportunities for future optical applications, with the goal of providing researchers a sense of where we feel optical technologies could impact the way we manage cerebral disease.
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Affiliation(s)
- Christopher R. Pasarikovski
- University of Toronto, Division of Neurosurgery, Department of Surgery, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, NeuroVascular Clinic, Toronto, Ontario, Canada
| | - Jillian Cardinell
- Ryerson University, Bioengineering and Biophotonics Laboratory, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Division of Neurosurgery, Toronto, Ontario, Canada
| | - Victor X. D. Yang
- University of Toronto, Division of Neurosurgery, Department of Surgery, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, NeuroVascular Clinic, Toronto, Ontario, Canada
- Ryerson University, Bioengineering and Biophotonics Laboratory, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Division of Neurosurgery, Toronto, Ontario, Canada
- Address all correspondence to Victor X. D. Yang, E-mail:
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Affiliation(s)
- Shipra Arya
- Division of Vascular Surgery, Stanford University School of Medicine, Standford, CA (S.A.).,Section of Vascular Surgery, Surgical Service Line, Palo Alto VA Healthcare System, Palo Alto, CA (S.A.)
| | - Saket Girotra
- Division of Cardiovascular Diseases, Section of Interventional Cardiology, University of Iowa Carver College of Medicine, Iowa City, IA (S.G.)
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D'Oria M, Chiarandini S, Pipitone MD, Fisicaro M, Calvagna C, Bussani R, Rotelli A, Ziani B. Contrast Enhanced Ultrasound (CEUS) Is Not Able to Identify Vulnerable Plaques in Asymptomatic Carotid Atherosclerotic Disease. Eur J Vasc Endovasc Surg 2018; 56:632-642. [PMID: 30193730 DOI: 10.1016/j.ejvs.2018.07.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 07/13/2018] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Contrast enhanced ultrasound (CEUS) has been suggested as an imaging tool for detection of asymptomatic carotid atherosclerotic disease (ACAD) at high risk of cerebral embolisation. The objective of this study was to evaluate CEUS and immunohistochemical (IHC) patterns in ACAD (i.e., without any neurologic symptoms in the last 6 months) and their correlations with histology. METHODS CEUS analysis was classified on a semiquantitative basis using a three-point classification scale. Plaque morphology was assessed using the American Heart Association (AHA) classification of atherosclerotic plaques, then accordingly assigned as non-vulnerable (AHA Type IV/V) or vulnerable (AHA Type VI). IHC analysis for intra-plaque neo-angiogenesis (IPN) was identified by CD34/VEGF immunostaining and classified on a semiquantitative basis using a four-point classification scale. Both CEUS and IHC analyses were performed and scored by single observers. RESULTS Fifty-eight consecutive asymptomatic patients (mean age 73 years, 33 males) undergoing carotid endarterectomy were included in the final analysis. Nineteen had AHA Class IV/V plaques, and the remaining 39 had AHA Class VI plaques. There were two main findings of the study: (a) histologically proven vulnerable plaques compared with histologically proven non-vulnerable plaques had denser IPN (p = .004), but did not show more pronounced contrast enhancement; (b) the correlation between IHC analysis and CEUS analysis was significant for both vulnerable and non-vulnerable plaques (p = .04 and p = .01, respectively), but it was direct for AHA Type IV/V plaques and inverse for AHA Type VI plaques. CONCLUSIONS The main findings of the study were that histologically proven vulnerable plaques (i.e., AHA Class VI) as compared with histologically proven non-vulnerable plaques (i.e., AHA Class IV/V) had denser neo-vascularisation, but not more pronounced contrast enhancement.
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Affiliation(s)
- Mario D'Oria
- Vascular and Endovascular Surgery, Cardiovascular Department, Cattinara Hospital ASUITs, Trieste, Italy.
| | - Stefano Chiarandini
- Vascular and Endovascular Surgery, Cardiovascular Department, Cattinara Hospital ASUITs, Trieste, Italy
| | - Marco D Pipitone
- Vascular and Endovascular Surgery, Cardiovascular Department, Cattinara Hospital ASUITs, Trieste, Italy
| | - Maurizio Fisicaro
- Cardiovascular Health Services Centre, Cardiovascular Department, Maggiore Hospital ASUITs, Trieste, Italy
| | - Cristiano Calvagna
- Vascular and Endovascular Surgery, Cardiovascular Department, Cattinara Hospital ASUITs, Trieste, Italy
| | - Rossana Bussani
- Surgical Pathology, Surgical, Medical and Health Sciences Department, Cattinara Hospital ASUITs, Trieste, Italy
| | - Alice Rotelli
- Vascular and Endovascular Surgery, Cardiovascular Department, Cattinara Hospital ASUITs, Trieste, Italy
| | - Barbara Ziani
- Vascular and Endovascular Surgery, Cardiovascular Department, Cattinara Hospital ASUITs, Trieste, Italy
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Park SY, Chin SO, Rhee SY, Oh S, Woo JT, Kim SW, Chon S. Cardio-Ankle Vascular Index as a Surrogate Marker of Early Atherosclerotic Cardiovascular Disease in Koreans with Type 2 Diabetes Mellitus. Diabetes Metab J 2018; 42:285-295. [PMID: 30113145 PMCID: PMC6107366 DOI: 10.4093/dmj.2017.0080] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 04/07/2018] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Carotid artery intima medial thickness (IMT), brachial-ankle pulse wave velocity (baPWV), and ankle-brachial index (ABI) are commonly used surrogate markers of subclinical atherosclerosis in patients with type 2 diabetes mellitus (T2DM). The cardio-ankle vascular index (CAVI) is a complement to the baPWV, which is affected by blood pressure. However, it is unclear which marker is the most sensitive predictor of atherosclerotic cardiovascular disease (ASCVD). METHODS This was a retrospective non-interventional study that enrolled 219 patients with T2DM. The correlations among IMT, ABI, and CAVI as well as the relationship of these tests to the 10-year ASCVD risk were also analyzed. RESULTS Among the 219 patients, 39 (17.8%) had ASCVD. In the non-ASCVD group, CAVI correlated significantly with IMT after adjusting for confounding variables, but ABI was not associated with CAVI or IMT. The analyses after dividing the non-ASCVD group into three subgroups according to the CAVI score (<8, ≥8 and <9, and ≥9) demonstrated the significant increase in the mean IMT, 10-year ASCVD risk and number of metabolic syndrome risk factors, and decrease in the mean ABI in the high-CAVI group. A high CAVI was an independent risk factor in the non-ASCVD group for both a high 10-year ASCVD risk (≥7.5%; odds ratio [OR], 2.42; P<0.001) and atherosclerosis (mean IMT ≥1 mm; OR, 1.53; P=0.007). CONCLUSION In Korean patients with T2DM without ASCVD, CAVI was the most sensitive of several surrogate markers for the detection of subclinical atherosclerosis.
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Affiliation(s)
- So Young Park
- Department of Medicine, Graduate School of Medicine, Kyung Hee University, Seoul, Korea
| | - Sang Ook Chin
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Seungjoon Oh
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Jeong Taek Woo
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Sung Woon Kim
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
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Carotid calcifications in panoramic radiographs are associated with future stroke or ischemic heart diseases: a long-term follow-up study. Clin Oral Investig 2018; 23:1171-1179. [DOI: 10.1007/s00784-018-2533-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 06/19/2018] [Indexed: 10/28/2022]
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48
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Veraldi GF, Nocini PF, Eccher A, Fenzi A, Sboarina A, Mezzetto L. Correlation between MDCTA and Carotid Plaque Histological Heterogeneity: A Pilot Study. Eur J Vasc Endovasc Surg 2018; 56:7-14. [DOI: 10.1016/j.ejvs.2018.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 04/02/2018] [Indexed: 01/14/2023]
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18F-FDG Uptake on PET/CT in Symptomatic versus Asymptomatic Carotid Disease: a Meta-Analysis. Eur J Vasc Endovasc Surg 2018; 56:172-179. [PMID: 29730127 PMCID: PMC6105570 DOI: 10.1016/j.ejvs.2018.03.028] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 03/29/2018] [Indexed: 11/23/2022]
Abstract
INTRODUCTION The role of positron emission tomography (PET)/computed tomography (CT) in the determination of inflammation in arterial disease is not well defined. This can provide information about arterial wall inflammation in atherosclerotic disease, and may give insight into plaque stability. The aim of this review was to perform a meta-analysis of PET/CT with 18F-FDG (fluorodeoxyglucose) uptake in symptomatic and asymptomatic carotid artery disease. METHODS This was a systematic review, following PRISMA guidelines, which interrogated the MEDLINE database from January 2001 to May 2017. The search combined the terms, "inflammation", "FDG", and "stroke". The search criteria included all types of studies, with a primary outcome of the degree of arterial vascular inflammation determined by 18F-FDG uptake. Analysis involved an inverse weighted variance estimate of pooled data, using a random effects model. RESULTS A total of 14 articles (539 patients) were included in the meta-analysis. Comparing carotid artery 18F-FDG uptake in symptomatic versus asymptomatic disease yielded a standard mean difference of 0.94 (95% CI 0.58-1.130; p < .0001; I2 = 65%). CONCLUSIONS PET/CT using 18F-FDG can demonstrate carotid plaque inflammation, and is a marker of symptomatic disease. Further studies are required to understand the clinical implication of PET/CT as a risk prediction tool.
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Rovella V, Anemona L, Cardellini M, Scimeca M, Saggini A, Santeusanio G, Bonanno E, Montanaro M, Legramante IM, Ippoliti A, Di Daniele N, Federici M, Mauriello A. The role of obesity in carotid plaque instability: interaction with age, gender, and cardiovascular risk factors. Cardiovasc Diabetol 2018; 17:46. [PMID: 29598820 PMCID: PMC5874994 DOI: 10.1186/s12933-018-0685-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 03/10/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In the last decade, several studies have reported an unexpected and seemingly paradoxical inverse correlation between BMI and incidence of cardiovascular diseases. This so called "obesity paradox effect" has been mainly investigated through imaging methods instead of histologic evaluation, which is still the best method to study the instability of carotid plaque. Therefore, the purpose of our study was to evaluate by histology the role of obesity in destabilization of carotid plaques and the interaction with age, gender and other major cerebrovascular risk factors. METHODS A total of 390 carotid plaques from symptomatic and asymptomatic patients submitted to endarterectomy, for whom complete clinical and laboratory assessment of major cardiovascular risk factors was available, were studied by histology. Patients with a BMI ≥ 30.0 kg/m2 were considered as obese. Data were analyzed by multivariate logistic regression and for each variable in the equation the estimated odds ratio (OR) was calculated. RESULTS Unstable carotid plaque OR for obese patients with age < 70 years was 5.91 (95% CI 1.17-29.80), thus being the highest OR compared to that of other risk factors. Unstable carotid plaque OR decreased to 4.61 (95% CI 0.54-39.19) in males ≥ 70 years, being only 0.93 (95% CI 0.25-3.52) among women. When obesity featured among metabolic syndrome risk factors, the OR for plaque destabilization was 3.97 (95% CI 1.81-6.22), a significantly higher value compared to OR in non-obese individuals with metabolic syndrome (OR = 1.48; 95% CI 0.86-2.31). Similar results were obtained when assessing the occurrence of acute cerebrovascular symptoms. CONCLUSIONS Results from our study appear to do not confirm any paradoxical effect of obesity on the carotid artery district. Conversely, obesity is confirmed to be an independent risk factor for carotid plaque destabilization, particularly in males aged < 70 years, significantly increasing such risk among patients with metabolic syndrome.
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Affiliation(s)
- Valentina Rovella
- Hypertension and Nephrology Unit, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Lucia Anemona
- Anatomic Pathology, Department of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Marina Cardellini
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Manuel Scimeca
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
- IRCCS San Raffaele, Via di Val Cannuta 247, 00166 Rome, Italy
- OrchideaLab S.r.l, Via del Grecale 6, Morlupo, Rome, RM Italy
| | - Andrea Saggini
- Anatomic Pathology, Department of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Giuseppe Santeusanio
- Anatomic Pathology, Department of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Elena Bonanno
- Anatomic Pathology, Department of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | - Manuela Montanaro
- Anatomic Pathology, Department of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
| | | | - Arnaldo Ippoliti
- Vascular Surgery, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Di Daniele
- Hypertension and Nephrology Unit, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Massimo Federici
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Alessandro Mauriello
- Anatomic Pathology, Department of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy
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