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Onishi S, Ohba S, Isobe N, Ito Y, Takano M, Maeda Y, Horie N. T1-T2 Mismatch Sign as a Predictor of Ipsilateral Ischemic Change After Carotid Artery Stenting. World Neurosurg 2023; 179:e450-e457. [PMID: 37660840 DOI: 10.1016/j.wneu.2023.08.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 08/26/2023] [Accepted: 08/28/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Magnetic resonance (MR)-plaque imaging reflects the characteristics of carotid plaque. We evaluated the relationship between MR-plaque images and ischemic change after carotid artery stenting (CAS). METHODS MR-plaque images were acquired from patients with carotid artery stenosis before CAS treatment. We calculated the relative signal intensity of plaque components compared with that of the sternocleidomastoid muscle and evaluated the presence/absence of T1-T2 mismatch and match sign. We then assessed the appearance of new ischemic lesions after CAS on diffusion-weighted imaging (DWI). Factors associated with the appearance of a high-intensity lesion on DWI were retrospectively analyzed. RESULTS A total of 64 patients with carotid artery stenoses treated with CAS were included in this study. In univariate analysis, T1-T2 mismatch sign was associated with the appearance of high-intensity lesions on DWI after CAS (odds ratio [OR], 12.00; 95% confidence interval [CI], 3.593-40.072; P < 0.0001), whereas T1-T2 match sign and high intensity on T2-weighted imaging were negatively associated (OR, 0.061, 95% CI, 0.007-0.502, P = 0.009 and OR, 0.085; 95% CI, 0.022-0.334, P = 0.0004, respectively). In multivariate logistic regression analysis, T1-T2 mismatch sign was independently associated with the appearance of a high-intensity lesion on DWI after CAS (OR, 16.695; 95% CI, 1.324-210.52; P = 0.0295). CONCLUSIONS T1-T2 mismatch sign on MR-plaque imaging is significantly associated with the appearance of new ischemic lesions after CAS. T1-T2 mismatch sign may be useful in considering treatment strategies for carotid artery stenosis.
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Affiliation(s)
- Shumpei Onishi
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
| | - Shinji Ohba
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Naoyuki Isobe
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Yoko Ito
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Motoki Takano
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Yugo Maeda
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Nobutaka Horie
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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Llop D, Feliu A, Ibarretxe D, Escribano J, Plana N, Borjabad-Rodríguez C, Masana L, Vallvé JC. Lipoprotein profile assessed by 1H NMR, BMI and blood pressure are associated with vascular alterations in children with familial hypercholesterolaemia. Nutr Metab Cardiovasc Dis 2023; 33:2035-2043. [PMID: 37543518 DOI: 10.1016/j.numecd.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/07/2023] [Accepted: 06/16/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND AND AIMS Children with familial hypercholesterolaemia (FH) have elevated low-density lipoprotein cholesterol (LDL-C) concentrations since birth, which increases the risk of cardiovascular disease in adulthood. Arterial injury and stiffness parameters, including carotid intima media thickness (cIMT), pulse wave velocity (PWV) and distensibility (DIST), can be detected early in childhood. We studied the associations between cIMT, PWV and DIST with the lipoprotein profile assessed by proton nuclear magnetic resonance (1H NMR) and with influential variables such as blood pressure (BP) or body mass index (BMI) in children with FH. METHODS AND RESULTS In this cross-sectional study, we included 201 children (96 with FH and 105 non-FH controls). Clinical history, physical examination and standard biochemical studies were performed. FH genetic testing was performed when clinically indicated. Carotid ultrasonography and an advanced lipoprotein profile by 1H NMR were performed. Multivariate and classification methods were used. There were no differences between cIMT, PWV and DIST between FH and non-FH children. FH children presented more total LDL and large, medium and small particles. Small LDL particles, BMI and systolic BP determined the presence of pathological IMT in the FH group. LDL size, high-density lipoproteins and very low-density lipoprotein particles together with blood pressure determined the presence of pathological arterial wall elasticity. CONCLUSIONS Alterations in lipoprotein parameters assessed by are associated with early structural and functional arterial characteristics in children with FH. BMI and BP act as boosting factors. Cardiovascular prevention should start early in children with FH, encompassing all components of a healthy lifestyle.
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Affiliation(s)
- D Llop
- Unitat de Recerca de Lípids I Arteriosclerosi, Universitat Rovira I Virgili, Reus, Catalonia, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain
| | - A Feliu
- Pediatric Nutrition and Human Development Research Unit, Universitat Rovira I Virgili, IISPV, Reus, Spain
| | - D Ibarretxe
- Unitat de Recerca de Lípids I Arteriosclerosi, Universitat Rovira I Virgili, Reus, Catalonia, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain; Servicio de Medicina Interna, Hospital Universitario Sant Joan, Reus, Catalonia, Spain
| | - J Escribano
- Pediatric Nutrition and Human Development Research Unit, Universitat Rovira I Virgili, IISPV, Reus, Spain
| | - N Plana
- Unitat de Recerca de Lípids I Arteriosclerosi, Universitat Rovira I Virgili, Reus, Catalonia, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain; Servicio de Medicina Interna, Hospital Universitario Sant Joan, Reus, Catalonia, Spain
| | - C Borjabad-Rodríguez
- Unitat de Recerca de Lípids I Arteriosclerosi, Universitat Rovira I Virgili, Reus, Catalonia, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain; Servicio de Medicina Interna, Hospital Universitario Sant Joan, Reus, Catalonia, Spain
| | - L Masana
- Unitat de Recerca de Lípids I Arteriosclerosi, Universitat Rovira I Virgili, Reus, Catalonia, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain; Servicio de Medicina Interna, Hospital Universitario Sant Joan, Reus, Catalonia, Spain
| | - J C Vallvé
- Unitat de Recerca de Lípids I Arteriosclerosi, Universitat Rovira I Virgili, Reus, Catalonia, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain.
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Vinci P, Di Girolamo FG, Panizon E, Tosoni LM, Cerrato C, Pellicori F, Altamura N, Pirulli A, Zaccari M, Biasinutto C, Roni C, Fiotti N, Schincariol P, Mangogna A, Biolo G. Lipoprotein(a) as a Risk Factor for Cardiovascular Diseases: Pathophysiology and Treatment Perspectives. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6721. [PMID: 37754581 PMCID: PMC10531345 DOI: 10.3390/ijerph20186721] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/31/2023] [Accepted: 08/09/2023] [Indexed: 09/28/2023]
Abstract
Cardiovascular disease (CVD) is still a leading cause of morbidity and mortality, despite all the progress achieved as regards to both prevention and treatment. Having high levels of lipoprotein(a) [Lp(a)] is a risk factor for cardiovascular disease that operates independently. It can increase the risk of developing cardiovascular disease even when LDL cholesterol (LDL-C) levels are within the recommended range, which is referred to as residual cardiovascular risk. Lp(a) is an LDL-like particle present in human plasma, in which a large plasminogen-like glycoprotein, apolipoprotein(a) [Apo(a)], is covalently bound to Apo B100 via one disulfide bridge. Apo(a) contains one plasminogen-like kringle V structure, a variable number of plasminogen-like kringle IV structures (types 1-10), and one inactive protease region. There is a large inter-individual variation of plasma concentrations of Lp(a), mainly ascribable to genetic variants in the Lp(a) gene: in the general po-pulation, Lp(a) levels can range from <1 mg/dL to >1000 mg/dL. Concentrations also vary between different ethnicities. Lp(a) has been established as one of the risk factors that play an important role in the development of atherosclerotic plaque. Indeed, high concentrations of Lp(a) have been related to a greater risk of ischemic CVD, aortic valve stenosis, and heart failure. The threshold value has been set at 50 mg/dL, but the risk may increase already at levels above 30 mg/dL. Although there is a well-established and strong link between high Lp(a) levels and coronary as well as cerebrovascular disease, the evidence regarding incident peripheral arterial disease and carotid atherosclerosis is not as conclusive. Because lifestyle changes and standard lipid-lowering treatments, such as statins, niacin, and cholesteryl ester transfer protein inhibitors, are not highly effective in reducing Lp(a) levels, there is increased interest in developing new drugs that can address this issue. PCSK9 inhibitors seem to be capable of reducing Lp(a) levels by 25-30%. Mipomersen decreases Lp(a) levels by 25-40%, but its use is burdened with important side effects. At the current time, the most effective and tolerated treatment for patients with a high Lp(a) plasma level is apheresis, while antisense oligonucleotides, small interfering RNAs, and microRNAs, which reduce Lp(a) levels by targeting RNA molecules and regulating gene expression as well as protein production levels, are the most widely explored and promising perspectives. The aim of this review is to provide an update on the current state of the art with regard to Lp(a) pathophysiological mechanisms, focusing on the most effective strategies for lowering Lp(a), including new emerging alternative therapies. The purpose of this manuscript is to improve the management of hyperlipoproteinemia(a) in order to achieve better control of the residual cardiovascular risk, which remains unacceptably high.
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Affiliation(s)
- Pierandrea Vinci
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Filippo Giorgio Di Girolamo
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
- SC Assistenza Farmaceutica, Cattinara Hospital, Azienda Sanitaria Universitaria Integrata di Trieste, 34149 Trieste, Italy; (C.B.); (C.R.); (P.S.)
| | - Emiliano Panizon
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Letizia Maria Tosoni
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Carla Cerrato
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Federica Pellicori
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Nicola Altamura
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Alessia Pirulli
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Michele Zaccari
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Chiara Biasinutto
- SC Assistenza Farmaceutica, Cattinara Hospital, Azienda Sanitaria Universitaria Integrata di Trieste, 34149 Trieste, Italy; (C.B.); (C.R.); (P.S.)
| | - Chiara Roni
- SC Assistenza Farmaceutica, Cattinara Hospital, Azienda Sanitaria Universitaria Integrata di Trieste, 34149 Trieste, Italy; (C.B.); (C.R.); (P.S.)
| | - Nicola Fiotti
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
| | - Paolo Schincariol
- SC Assistenza Farmaceutica, Cattinara Hospital, Azienda Sanitaria Universitaria Integrata di Trieste, 34149 Trieste, Italy; (C.B.); (C.R.); (P.S.)
| | - Alessandro Mangogna
- Institute for Maternal and Child Health, I.R.C.C.S “Burlo Garofolo”, 34137 Trieste, Italy;
| | - Gianni Biolo
- Clinica Medica, Cattinara Hospital, Department of Medical Surgical and Health Science, University of Trieste, 34149 Trieste, Italy; (F.G.D.G.); (E.P.); (L.M.T.); (C.C.); (F.P.); (N.A.); (A.P.); (M.Z.); (N.F.); (G.B.)
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van Dam-Nolen DH, van Egmond NC, Koudstaal PJ, van der Lugt A, Bos D. Sex Differences in Carotid Atherosclerosis: A Systematic Review and Meta-Analysis. Stroke 2023; 54:315-326. [PMID: 36444718 PMCID: PMC9855762 DOI: 10.1161/strokeaha.122.041046] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
BACKGROUND Over the last decades, several individual studies on sex differences in carotid atherosclerosis have been performed covering a wide range of plaque characteristics and including different populations. This systematic review and meta-analysis aims to summarize previously reported results on sex differences in carotid atherosclerosis and present a roadmap explaining next steps needed for implementing this knowledge in clinical practice. METHODS We systematically searched PubMed, Embase, Web of Science, Cochrane Central, and Google Scholar for eligible studies including both male and female participants reporting prevalence of imaging characteristics of carotid atherosclerosis and meta-analyzed these studies. Studies had to report at least the following: (1) calcifications; (2) lipid-rich necrotic core; (3) intraplaque hemorrhage; (4) thin-or-ruptured fibrous cap; (5) plaque ulceration; (6) degree of stenosis; (7) plaque size; or (8) plaque inflammation. We prespecified which imaging modalities had to be used per plaque characteristic and excluded ultrasonography. RESULTS We included 42 articles in our meta-analyses (ranging from 2 through 23 articles per plaque characteristic). Men had more frequently a larger plaque compared to women and, moreover, had more often plaques with calcifications (odds ratio=1.57 [95% CI, 1.23-2.02]), lipid-rich necrotic core (odds ratio=1.87 [95% CI, 1.36-2.57]), and intraplaque hemorrhage (odds ratio=2.52 [95% CI, 1.74-3.66]), or an ulcerated plaque (1.81 [95% CI, 1.30-2.51]). Furthermore, we found more pronounced sex differences for lipid-rich necrotic core in symptomatic opposed to asymptomatic participants. CONCLUSIONS In this systematic review and meta-analysis, we demonstrate convincing evidence for sex differences in carotid atherosclerosis. All kinds of plaque features-plaque size, composition, and morphology-were more common or larger in men compared to women. Our results highlight that sex is an important variable to include in both study design and clinical-decision making. Further investigation of sex-specific stroke risks with regard to plaque composition is warranted.
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Affiliation(s)
- Dianne H.K. van Dam-Nolen
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.,Department of Neurology (D.H.K.v.D.-N., P.J.K.), Erasmus University Medical Center Rotterdam, the Netherlands
| | - Nina C.M. van Egmond
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands
| | - Peter J. Koudstaal
- Department of Neurology (D.H.K.v.D.-N., P.J.K.), Erasmus University Medical Center Rotterdam, the Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.,the Department of Epidemiology (D.B.), Erasmus University Medical Center Rotterdam, the Netherlands
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Zhao XQ, Sun J, Hippe DS, Isquith DA, Canton G, Yamada K, Balu N, Crouse JR, Anderson TJ, Huston J, O’Brien KD, Hatsukami TS, Yuan C. Magnetic Resonance Imaging of Intraplaque Hemorrhage and Plaque Lipid Content With Continued Lipid-Lowering Therapy: Results of a Magnetic Resonance Imaging Substudy in AIM-HIGH. Circ Cardiovasc Imaging 2022; 15:e014229. [PMID: 36378778 PMCID: PMC9773914 DOI: 10.1161/circimaging.122.014229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Intraplaque hemorrhage (IPH) is associated with plaque progression and ischemic events, and plaque lipid content (% lipid core) predicts the residual atherosclerotic cardiovascular disease risk. This study examined the impact of IPH on lipid content change in the setting of intensive lipid-lowering therapy. METHODS In total, 214 AIM-HIGH (Atherothrombosis Intervention in Metabolic Syndrome with Low High-Density Lipoprotein/High Triglycerides: Impact on Global Health Outcomes) participants with clinically established ASCVD and low high-density lipoprotein cholesterol received cartoid MRI at baseline and 2 years to assess changes in carotid morphology and composition. Patients were randomized to extended-release niacin or placebo, and all received simvastatin with optional ezetimibe as necessary to lower low-density lipoprotein cholesterol to 40 to 80 mg/dL. Changes in lipid content and carotid morphology were tested using the Wilcoxon signed-rank test. Differences between subjects with and without IPH and between subjects assigned extended-release niacin or placebo were tested using the Wilcoxon rank-sum test. Linear regression was used to test the association of IPH and lipid content changes after adjusting for clinical risk factors. RESULTS Among 156 patients (61±9 years; 81% men) with complete MRI, prior statin use: <1 year, 26%; 1 to 5 years, 37%; >5 years, 37%. Triglycerides and ApoB decreased significantly, whereas high-density lipoprotein cholesterol and ApoA1 increased significantly over time. Plaque lipid content was significantly reduced (-0.5±2.4 %/year, P = 0.017) without a significant difference between the 2 treatment groups. However, the lipid content increased in plaques with IPH but regressed in plaques without IPH (1.2±2.5 %/year versus -1.0±2.2, P = 0.006). Additionally, IPH was associated with a decrease in lumen area (-0.4±0.9 mm2/year versus 0.3±1.4, P = 0.033). IPH remained significantly associated with increase in lipid content in multivariable analysis (54.4%, 95% CI: 26.8, 88.0, P < 0.001). CONCLUSIONS Carotid plaques under continued intensive lipid-lowering therapy moved toward stabilization. However, plaques with IPH showed greater increases in lipid content and greater decreases in lumen area than plaques without IPH. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT01178320.
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Affiliation(s)
- Xue-Qiao Zhao
- Department of Medicine (Division of Cardiology), University of Washington, Seattle, Washington
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, Washington
| | - Daniel S. Hippe
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Daniel A. Isquith
- Department of Medicine (Division of Cardiology), University of Washington, Seattle, Washington
| | - Gador Canton
- Department of Radiology, University of Washington, Seattle, Washington
| | - Kiyofumi Yamada
- Department of Radiology, University of Washington, Seattle, Washington
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington
| | - John R. Crouse
- Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Todd J. Anderson
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - John Huston
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Kevin D. O’Brien
- Department of Medicine (Division of Cardiology), University of Washington, Seattle, Washington
| | - Thomas S. Hatsukami
- Department of Surgery (Division of Vascular Surgery), University of Washington, Seattle, Washington
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington
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Cilla S, Macchia G, Lenkowicz J, Tran EH, Pierro A, Petrella L, Fanelli M, Sardu C, Re A, Boldrini L, Indovina L, De Filippo CM, Caradonna E, Deodato F, Massetti M, Valentini V, Modugno P. CT angiography-based radiomics as a tool for carotid plaque characterization: a pilot study. Radiol Med 2022; 127:743-753. [DOI: 10.1007/s11547-022-01505-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/20/2022] [Indexed: 11/27/2022]
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7
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Verwer MC, Waissi F, Mekke JM, Dekker M, Stroes ESG, de Borst GJ, Kroon J, Hazenberg CEVB, de Kleijn DPV. High lipoprotein(a) is associated with major adverse limb events after femoral artery endarterectomy. Atherosclerosis 2021; 349:196-203. [PMID: 34857353 DOI: 10.1016/j.atherosclerosis.2021.11.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/25/2021] [Accepted: 11/17/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUNDS AND AIMS Elevated lipoprotein(a) (Lp[a]) has been identified as a causal risk factor for cardiovascular disease including peripheral arterial disease (PAD). Although Lp(a) is associated with the diagnosis of PAD, it remains elusive whether there is an association of Lp(a) with cardiovascular and limb events in patients with severe PAD. METHODS Preoperative plasma Lp(a) levels were measured in 384 consecutive patients that underwent iliofemoral endarterectomy and were included in the Athero-Express biobank. Our primary objective was to assess the association of Lp(a) levels with Major Adverse Limb Events (MALE). Our secondary objective was to relate Lp(a) levels to Major Adverse Cardiovascular Events (MACE) and femoral plaque composition that was acquired from baseline surgery. RESULTS During a median follow-up time of 5.6 years, a total of 225 MALE were recorded in 132 patients. Multivariable analysis, including history of peripheral intervention, age, diabetes mellitus, end stage renal disease and PAD disease stages, showed that Lp(a) was independently associated with first (HR of 1.36 (95% CI 1.02-1.82) p = .036) and recurrent MALE (HR 1.36 (95% CI 1.10-1.67) p = .004). A total of 99 MACE were recorded but Lp(a) levels were not associated with MACE.sLp(a) levels were significantly associated with a higher presence of smooth muscle cells in the femoral plaque, although this was not associated with MALE or MACE. CONCLUSIONS Plasma Lp(a) is independently associated with first and consecutive MALE after iliofemoral endarterectomy. Hence, in patients who undergo iliofemoral endarterectomy, Lp(a) could be considered as a biomarker to enhance risk stratification for future MALE.
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Affiliation(s)
- Maarten C Verwer
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands.
| | - Farahnaz Waissi
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands; Netherlands Heart Institute, Moreelsepark 1, 3511, EP, Utrecht, the Netherlands; Department of Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands
| | - Joost M Mekke
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands
| | - Mirthe Dekker
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands; Netherlands Heart Institute, Moreelsepark 1, 3511, EP, Utrecht, the Netherlands; Department of Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands
| | - Gert J de Borst
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands
| | - Jeffrey Kroon
- Department of Experimental Vascular Medicine, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands
| | - Constantijn E V B Hazenberg
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands
| | - Dominique P V de Kleijn
- Department of Vascular Surgery, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands; Laboratory of Experimental Cardiology, University Medical Center Utrecht, PO Box 85500, 3508, GA, Utrecht, the Netherlands; Netherlands Heart Institute, Moreelsepark 1, 3511, EP, Utrecht, the Netherlands.
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8
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Good E, Ziegler M, Warntjes M, Dyverfeldt P, de Muinck E. Quantitative Magnetic Resonance Imaging Assessment of the Relationships Between Fat Fraction and R2* Inside Carotid Plaques, and Circulating Lipoproteins. J Magn Reson Imaging 2021; 55:1260-1270. [PMID: 34390516 DOI: 10.1002/jmri.27890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/04/2021] [Accepted: 08/05/2021] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Lipid-rich necrotic core (LRNC) and intraplaque hemorrhage (IPH) are morphological features of high-risk atherosclerotic plaques. However, their relationship to circulating lipoproteins is unclear. PURPOSE To study associations between changes in lipoproteins vs. changes in LRNC (represented by fat fraction [FF]) and IPH (represented by R2*). STUDY TYPE Prospective. SUBJECTS Fifty-two patients with carotid plaques, 33 males (63.5%), mean age 72 (±5). FIELD STRENGTH/SEQUENCE Four-point fast gradient Dixon magnetic resonance imaging (MRI) was used to quantify FF and R2* (to measure IPH) inside plaques and in vessel wall. Turbo-spin echo was used for T1 weighted sequences to guide manual segmentation. ASSESSMENT Carotid MRI and serum lipid levels were assessed at baseline and at 1-year follow-up. For patients, lipid-lowering therapy was customized to reduce low-density lipoprotein (LDL) levels below 1.8 mmol/L. Segmentation was performed with one set of regions of interest for the plaque and one for the vessel wall at the location of the plaque. Thereby MRI data for FF, R2*, and volumes in plaque- and vessel-wall segmentations could be obtained from baseline and follow-up, as well as changes over the study year. STATISTICAL TESTS Pearson correlation coefficient for correlations. Paired samples t-test for changes over time. Significance at P < 0.05, 95% confidence interval. RESULTS LDL decreased significantly (2.19-1.88 mmol/L, Z - 2.9), without correlation to changes in plaque composition, nor to the significant reduction in vessel-wall volume (-106.3 mm3 ). Plaque composition remained unchanged, FF +8.5% (P = 0.366) and R2* +3.5% (P = 0.304). Compared to plaque segmentations, R2* was significantly lower in the vessel-wall segmentations both at baseline (-9.3%) and at follow-up (-9.1%). DATA CONCLUSION The absence of correlations between changes in lipoproteins and changes in plaque composition indicates more complex relationships between these parameters than previously anticipated. The significant differences in both R2* and volume dynamics comparing plaque segmentations and vessel-wall segmentations suggest differences in their pathobiology of atherosclerosis. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 4.
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Affiliation(s)
- Elin Good
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Magnus Ziegler
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Marcel Warntjes
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,SyntheticMR AB, Linköping, Sweden
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Ebo de Muinck
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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9
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Lipoprotein(a) levels and atherosclerotic plaque characteristics in the carotid artery: The Plaque at RISK (PARISK) study. Atherosclerosis 2021; 329:22-29. [PMID: 34216874 DOI: 10.1016/j.atherosclerosis.2021.06.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 05/01/2021] [Accepted: 06/03/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS Lipoprotein(a) is an independent risk factor for cardiovascular disease and recurrent ischemic stroke. Lipoprotein(a) levels are known to be associated with carotid artery stenosis, but the relation of lipoprotein(a) levels to carotid atherosclerotic plaque composition and morphology is less known. We hypothesize that higher lipoprotein(a) levels and lipoprotein(a)-related SNPs are associated with a more vulnerable carotid plaque and that this effect is sex-specific. METHODS In 182 patients of the Plaque At RISK study we determined lipoprotein(a) concentrations, apo(a) KIV-2 repeats and LPA SNPs. Imaging characteristics of carotid atherosclerosis were determined by MDCTA (n = 161) and/or MRI (n = 171). Regressions analyses were used to investigate sex-stratified associations between lipoprotein(a) levels, apo(a) KIV-2 repeats, and LPA SNPs and imaging characteristics. RESULTS Lipoprotein(a) was associated with presence of lipid-rich necrotic core (LRNC) (aOR = 1.07, 95% CI: 1.00; 1.15), thin-or-ruptured fibrous cap (TRFC) (aOR = 1.07, 95% CI: 1.01; 1.14), and degree of stenosis (β = 0.44, 95% CI: 0.00; 0.88). In women, lipoprotein(a) was associated with presence of intraplaque hemorrhage (IPH) (aOR = 1.25, 95% CI: 1.06; 1.61). In men, lipoprotein(a) was associated with degree of stenosis (β = 0.58, 95% CI: 0.04; 1.12). Rs10455872 was significantly associated with increased calcification volume (β = 1.07, 95% CI: 0.25; 1.89) and absence of plaque ulceration (aOR = 0.25, 95% CI: 0.04; 0.93). T3888P was associated with absence of LRNC (aOR = 0.36, 95% CI: 0.16; 0.78) and smaller maximum vessel wall area (β = -10.24, 95%CI: -19.03; -1.44). CONCLUSIONS In patients with symptomatic carotid artery stenosis, increased lipoprotein(a) levels were associated with degree of stenosis, and IPH, LRNC, and TRFC, known as vulnerable plaque characteristics, in the carotid artery. T3888P was associated with lower LRNC prevalence and smaller maximum vessel wall area. Further research in larger study populations is needed to confirm these results.
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10
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Lepor NE, Sun J, Canton G, Contreras L, Hippe DS, Isquith DA, Balu N, Kedan I, Simonini AA, Yuan C, Hatsukami TS, Zhao XQ. Regression in carotid plaque lipid content and neovasculature with PCSK9 inhibition: A time course study. Atherosclerosis 2021; 327:31-38. [PMID: 34038761 DOI: 10.1016/j.atherosclerosis.2021.05.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 05/07/2021] [Accepted: 05/12/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND AIMS Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors reduce cardiovascular events, but their effects on atherosclerotic plaque remain elusive. Using serial magnetic resonance imaging (MRI), we studied changes in carotid plaque lipid content and neovasculature under PCSK9 inhibition with alirocumab. METHODS Among patients with low-density lipoprotein cholesterol (LDL-C) ≥70 mg/dl but ineligible for high-dose statin therapy, those with lipid core on carotid MRI were identified to receive alirocumab 150 mg every 2 weeks. Follow-up MRI was performed at 3, 6, and 12 months after treatment. Pre- and post-contrast MRI were acquired to measure percent lipid core volume (% lipid core). Dynamic contrast-enhanced MRI was acquired to measure the extravasation rate of gadolinium contrast (Ktrans), a marker of plaque neovasculature. RESULTS Of 31 patients enrolled, 27 completed the study (mean age: 69 ± 9; male: 67%). From 9.8% at baseline, % lipid core was progressively reduced to 8.4% at 3 months, 7.5% at 6 months, and 7.2% at 12 months (p = 0.014 for trend), which was accompanied by a progressive increase in % fibrous tissue (p = 0.009) but not % calcification (p = 0.35). Ktrans was not reduced until 12 months (from 0.069 ± 0.019 min-1 to 0.058 ± 0.020 min-1; p = 0.029). Lumen and wall areas did not change significantly during the study period. CONCLUSIONS Regression in plaque composition and neovasculature were observed under PCSK9 inhibition on carotid MRI, which provides unique insight into the biological process of plaque stabilization with disease-modifying therapies.
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Affiliation(s)
- Norman E Lepor
- Westside Medical Associates of Los Angeles, Beverly Hills, CA, USA; Smidt Cedars-Sinai Heart Institute, Los Angeles, CA, USA
| | - Jie Sun
- University of Washington, Seattle, WA, USA.
| | | | - Laurn Contreras
- Westside Medical Associates of Los Angeles, Beverly Hills, CA, USA
| | | | | | | | - Ilan Kedan
- Smidt Cedars-Sinai Heart Institute, Los Angeles, CA, USA
| | | | - Chun Yuan
- University of Washington, Seattle, WA, USA
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11
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Yuan C, Miller Z, Zhao XQ. Magnetic Resonance Imaging: Cardiovascular Applications for Clinical Trials. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00059-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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12
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Sun X, Chen R, Yan G, Chen Z, Yuan H, Huang W, Lu Y. Gender-specific associations between apolipoprotein A1 and arterial stiffness in patients with nonalcoholic fatty liver disease. PeerJ 2020; 8:e9757. [PMID: 32874784 PMCID: PMC7441919 DOI: 10.7717/peerj.9757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/28/2020] [Indexed: 12/14/2022] Open
Abstract
Background Lipid metabolism factors may play an important role in the progression of nonalcoholic fatty liver disease (NAFLD) and its related cardiovascular dysfunctions. The study aims to assess whether Apolipoprotein A-1 (ApoA1) was associated with vascular stiffness in NAFLD patients. Methods From 2012 to 2013, we included 2,295 non-alcohol users with fatty liver disease (1,306 male patients) and completely excluded subjects who drank any alcohol ever to eliminate the effect of alcohol intake. The serum ApoA1 levels and the brachial-ankle pulse wave velocity (baPWV) were measured. Results The baPWV in men was much higher than in female patients (1,412.79 cm/s vs. 1,358.69 cm/s, P < 0.001). ApoA1 level was positively associated with baPWV odd ratio (OR), 4.18; 95% confidence interval (CI) [1.16-15.1], P < 0.05) in patients with AST/ALT < 1 and (OR, 4.70; 95% CI [1.36-16.23], P < 0.05) in patients with AST/ALT ≥ 1 respectively. Only arterial stiffness in men was associated with ApoA1 (OR, 3.96; 95% CI [1.29-12.30], P < 0.05) in logistics regression models adjusted for age, gender, body mass index, education attainment, physical activity, smoking, history of hypertension and high-density lipoprotein. The relationship between ApoA1 and baPWV in male NAFLD patients remained significant (confidence, 156.42; 95% CI [49.34-263.50], P < 0.05) in the fully adjusted linear regression model. Conclusion The serum ApoA1 was associated with arterial stiffness in male NAFLD patients. Increased ApoA1 level should be considered as an independent risk factor for arterial stiffness in male NAFLD patients, suggesting that NAFLD may alter arterial stiffness by "ApoA1-related" mechanism in men.
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Affiliation(s)
- Xulong Sun
- Clinical Research Center, The Third Xiangya Hospital of Central South University, Changsha, China.,Department of General Surgery, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Ruifang Chen
- Clinical Research Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Guangyu Yan
- Clinical Research Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zhiheng Chen
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Hong Yuan
- Clinical Research Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Wei Huang
- Clinical Research Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Yao Lu
- Clinical Research Center, The Third Xiangya Hospital of Central South University, Changsha, China.,Department of Life Science and Medicine, King's College London, London, UK
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13
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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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14
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Liberale L, Camici GG. The Role of Vascular Aging in Atherosclerotic Plaque Development and Vulnerability. Curr Pharm Des 2020; 25:3098-3111. [PMID: 31470777 DOI: 10.2174/1381612825666190830175424] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 08/24/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND The ongoing demographical shift is leading to an unprecedented aging of the population. As a consequence, the prevalence of age-related diseases, such as atherosclerosis and its thrombotic complications is set to increase in the near future. Endothelial dysfunction and vascular stiffening characterize arterial aging and set the stage for the development of cardiovascular diseases. Atherosclerotic plaques evolve over time, the extent to which these changes might affect their stability and predispose to sudden complications remains to be determined. Recent advances in imaging technology will allow for longitudinal prospective studies following the progression of plaque burden aimed at better characterizing changes over time associated with plaque stability or rupture. Oxidative stress and inflammation, firmly established driving forces of age-related CV dysfunction, also play an important role in atherosclerotic plaque destabilization and rupture. Several genes involved in lifespan determination are known regulator of redox cellular balance and pre-clinical evidence underlines their pathophysiological roles in age-related cardiovascular dysfunction and atherosclerosis. OBJECTIVE The aim of this narrative review is to examine the impact of aging on arterial function and atherosclerotic plaque development. Furthermore, we report how molecular mechanisms of vascular aging might regulate age-related plaque modifications and how this may help to identify novel therapeutic targets to attenuate the increased risk of CV disease in elderly people.
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Affiliation(s)
- Luca Liberale
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, CH-8952 Schlieren, Switzerland
| | - Giovanni G Camici
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, CH-8952 Schlieren, Switzerland.,University Heart Center, University Hospital Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland.,Department of Research and Education, University Hospital Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland
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15
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Baradaran H, Gupta A. Carotid Vessel Wall Imaging on CTA. AJNR Am J Neuroradiol 2020; 41:380-386. [PMID: 32029468 DOI: 10.3174/ajnr.a6403] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 12/17/2019] [Indexed: 02/06/2023]
Abstract
Vessel wall imaging has been increasingly used to characterize plaque beyond luminal narrowing to identify patients who may be at the highest risk of cerebrovascular ischemia. Although detailed plaque information can be obtained from many imaging modalities, CTA is particularly appealing for carotid plaque imaging due to its relatively low cost, wide availability, operator independence, and ability to discern high-risk features. The present Review Article describes the current understanding of plaque characteristics on CTA by describing commonly encountered plaque features, including calcified and soft plaque, surface irregularities, neovascularization, and inflammation. The goal of this Review Article was to provide a more robust understanding of clinically relevant plaque features detectable on routine CTA of the carotid arteries.
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Affiliation(s)
- H Baradaran
- From the Department of Radiology (H.B.), University of Utah, Salt Lake City, Utah
| | - A Gupta
- Department of Radiology (A.G.), Weill Cornell Medicine, New York, New York
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16
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Wu J, Xin J, Yang X, Sun J, Xu D, Zheng N, Yuan C. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI. Med Phys 2019; 46:5544-5561. [PMID: 31356693 DOI: 10.1002/mp.13739] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 06/14/2019] [Accepted: 07/11/2019] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic resonance imaging (MRI) (VW-MRI) images can prevent the progression of cardiovascular disease. However, the manual inspection process of the VW-MRI images is cumbersome and has low reproducibility. Therefore in this paper, by using the convolutional neural networks (CNNs), we develop a deep morphology aided diagnosis (DeepMAD) network for automated segmentation of the VW of carotid artery and for automated diagnosis of the carotid atherosclerosis with the black-blood (BB) VW-MRI (i.e., the T1-weighted MRI) in a slice-by-slice manner. METHODS The proposed DeepMAD network consists of a segmentation subnetwork and a diagnosis subnetwork for performing the segmentation and diagnosis tasks on the BB-VW-MRI images, where the manual labeled lumen area, the manual labeled outer wall area and the manual labeled lesion Types based on the modified American Heart Association (AHA) criteria are used as the ground-truth. Specifically, a deep U-shape CNN with a weighted fusion layer is designed as the segmentation subnetwork, where the lumen area and the outer wall area can be simultaneously segmented under the supervision of the triple Dice loss to provide the vessel wall map as morphological information. Then, the image stream from the BB-VWMRI image and the morphology stream from the obtained vessel wall map are extracted from two deep CNNs and combined to obtain the diagnosis results of atherosclerosis in the diagnosis subnetwork. In addition, the triple input set is formed by three carotid regions of interest (ROIs) from three consecutive slices of the MRI sequence and input to the DeepMAD network, where the first and last slices used as additional adjacent slices to provide 2.5D spatial information along the carotid artery centerline for the intermediate slice, which is the target slice for segmentation and diagnosis in the study. RESULTS Compared to other existing methods, the DeepMAD network can achieve promising segmentation performances (0.9594 Dice for the lumen and 0.9657 Dice for the outer wall) and better diagnosis Accuracy of the carotid atherosclerosis (0.9503 AUC and 0.8916 Accuracy) in the test dataset (including invisible subjects) from same source as the training dataset. In addition, the trained DeepMAD model can be successfully transferred to another test dataset for segmentation and diagnosis tasks with remarkable performance (0.9475 Dice for the lumen and 0.9542 Dice for the outer wall, 0. 9227 AUC and 0.8679 Accuracy for diagnosis). CONCLUSIONS Even without the intervention of reviewers required for previous works, the proposed DeepMAD network automatically segments the lumen and the outer wall together and diagnoses the carotid atherosclerosis with high performances. The DeepMAD network can be used in clinical trials to help radiologists get rid of tedious reading tasks, such as screening review to separate the normal carotid from the atherosclerotic arteries and outlining the vessel wall contours.
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Affiliation(s)
- Jiayi Wu
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jingmin Xin
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiaofeng Yang
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Dongxiang Xu
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Nanning Zheng
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
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17
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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: 263] [Impact Index Per Article: 52.6] [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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18
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Aggarwal V, Gupta A. Integrating Morphological Edge Detection and Mutual Information for Nonrigid Registration of Medical Images. Curr Med Imaging 2019; 15:292-300. [DOI: 10.2174/1573405614666180103163430] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 12/04/2017] [Accepted: 12/21/2017] [Indexed: 11/22/2022]
Abstract
Background:
Medical images are widely used within healthcare and medical research.
There is an increased interest in precisely correlating information in these images through registration
techniques for investigative and therapeutic purposes. This work proposes and evaluates an
improved measure function for registration of carotid ultrasound and magnetic resonance images
(MRI) taken at different times.
Methods:
To achieve this, a morphological edge detection operator has been designed to extract
the vital edge information from images which is integrated with the Mutual Information (MI) to
carry out the registration process. The improved performance of proposed registration measure
function is demonstrated using four quality metrics: Correlation Coefficient (CC), Structural Similarity
Index (SSIM), Visual Information Fidelity (VIF) and Gradient Magnitude Similarity Deviation
(GMSD). The qualitative validation has also been done through visual inspection of the registered
image pairs by clinical radiologists.
Results:
The experimental results showed that the proposed method outperformed the existing
method (based on integrated MI and standard edge detection) for both ultrasound and MR images
in terms of CC by about 4.67%, SSIM by 3.21%, VIF by 18.5%, and decreased GMSD by 37.01%.
Whereas, in comparison to the standard MI based method, the proposed method has increased CC
by 16.29%, SSIM by 16.13%, VIF by 52.56% and decreased GMSD by 66.06%, approximately.
Conclusion:
Thus, the proposed method improves the registration accuracy when the original images
are corrupted by noise, have low intensity values or missing data.
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Affiliation(s)
- Vivek Aggarwal
- Department of Mechanical Engineering, I. K. Gujral Punjab Technical University, Main Campus, Kapurthala-144603, Punjab, India
| | - Anupama Gupta
- Department of Computer Science and Engineering, Giani Zail Singh Campus College of Engineering and Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda-151001, Punjab, India
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19
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Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE. Eur Radiol 2018; 29:4114-4122. [PMID: 30523455 DOI: 10.1007/s00330-018-5862-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 09/27/2018] [Accepted: 10/25/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVES To compare visualization of carotid plaques and vessel walls between 3D T1-fast spin echo imaging with conventional SPACE (T1-SPACE) and with a prototype compressed sensing T1-SPACE (CS-T1-SPACE) METHODS: This retrospective study was approved by the institutional review board. Participants comprised 43 patients (36 males, 7 females; mean age, 71 years) who underwent carotid MRI including T1-SPACE and CS-T1-SPACE. The quality of visualization for carotid plaques and vessel walls was evaluated using a 5-point scale, and signal intensity ratios (SRs) of the carotid plaques were measured and normalized to the adjacent sternomastoid muscle. Scores for the quality of visualization were compared between T1-SPACE and CS-T1-SPACE using the Wilcoxon signed-rank test. Statistical differences between SRs of plaques with T1-SPACE and CS-T1-SPACE were also evaluated using the Wilcoxon signed-rank test, and Spearman's correlation coefficient was calculated to investigate correlations. RESULTS Visualization scores were significantly higher for CS-T1-SPACE than for T1-SPACE when evaluating carotid plaques (p = 0.0212) and vessel walls (p < 0.001). The SR of plaques did not differ significantly between T1-SPACE and CS-T1-SPACE (p = 0.5971). Spearman's correlation coefficient was significant (0.884; p < 0.0001). CONCLUSIONS CS-T1-SPACE allowed better visualization scores and sharpness compared with T1-SPACE in evaluating carotid plaques and vessel walls, with a 2.5-fold accelerated scan time with comparable image quality. CS-T1-SPACE appears promising as a method for investigating carotid vessel walls, offering better image quality with a shorter acquisition time. KEY POINTS • CS-T1-SPACE allowed better visualization compared with T1-SPACE in evaluating carotid plaques and vessel walls, with a 2.5-fold accelerated scan time with comparable image quality. • CS-T1-SPACE offers a promising method for investigating carotid vessel walls due to the better image quality with shorter acquisition time. • Physiological movements such as swallowing, arterial pulsations, and breathing induce motion artifacts in vessel wall imaging, and a shorter acquisition time can reduce artifacts from physiological movements.
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Saba L, Yuan C, Hatsukami TS, Balu N, Qiao Y, DeMarco JK, Saam T, Moody AR, Li D, Matouk CC, Johnson MH, Jäger HR, Mossa-Basha M, Kooi ME, Fan Z, Saloner D, Wintermark M, Mikulis DJ, Wasserman BA. Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2018; 39:E9-E31. [PMID: 29326139 DOI: 10.3174/ajnr.a5488] [Citation(s) in RCA: 176] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Identification of carotid artery atherosclerosis is conventionally based on measurements of luminal stenosis and surface irregularities using in vivo imaging techniques including sonography, CT and MR angiography, and digital subtraction angiography. However, histopathologic studies demonstrate considerable differences between plaques with identical degrees of stenosis and indicate that certain plaque features are associated with increased risk for ischemic events. The ability to look beyond the lumen using highly developed vessel wall imaging methods to identify plaque vulnerable to disruption has prompted an active debate as to whether a paradigm shift is needed to move away from relying on measurements of luminal stenosis for gauging the risk of ischemic injury. Further evaluation in randomized clinical trials will help to better define the exact role of plaque imaging in clinical decision-making. However, current carotid vessel wall imaging techniques can be informative. The goal of this article is to present the perspective of the ASNR Vessel Wall Imaging Study Group as it relates to the current status of arterial wall imaging in carotid artery disease.
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Affiliation(s)
- L Saba
- From the Department of Medical Imaging (L.S.), University of Cagliari, Cagliari, Italy
| | - C Yuan
- Departments of Radiology (C.Y., N.B., M.M.-B.)
| | - T S Hatsukami
- Surgery (T.S.H.), University of Washington, Seattle, Washington
| | - N Balu
- Departments of Radiology (C.Y., N.B., M.M.-B.)
| | - Y Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - J K DeMarco
- Department of Radiology (J.K.D.), Walter Reed National Military Medical Center, Bethesda, Maryland
| | - T Saam
- Department of Radiology (T.S.), Ludwig-Maximilian University Hospital, Munich, Germany
| | - A R Moody
- Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - D Li
- Biomedical Imaging Research Institute (D.L., Z.F.), Cedars-Sinai Medical Center, Los Angeles, California
| | - C C Matouk
- Departments of Neurosurgery, Neurovascular and Stroke Programs (C.C.M., M.H.J.).,Radiology and Biomedical Imaging (C.C.M., M.H.J.)
| | - M H Johnson
- Departments of Neurosurgery, Neurovascular and Stroke Programs (C.C.M., M.H.J.).,Radiology and Biomedical Imaging (C.C.M., M.H.J.).,Surgery (M.H.J.), Yale University School of Medicine, New Haven, Connecticut
| | - H R Jäger
- Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | | | - M E Kooi
- Department of Radiology (M.E.K.), CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Z Fan
- Biomedical Imaging Research Institute (D.L., Z.F.), Cedars-Sinai Medical Center, Los Angeles, California
| | - D Saloner
- Department of Radiology and Biomedical Imaging (D.S.), University of California, San Francisco, California
| | - M Wintermark
- Department of Radiology (M.W.), Neuroradiology Division, Stanford University, Stanford, California
| | - D J Mikulis
- Division of Neuroradiology (D.J.M.), Department of Medical Imaging, University Health Network
| | - B A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
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21
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Hippe DS, Phan BAP, Sun J, Isquith DA, O'Brien KD, Crouse JR, Anderson T, Huston J, Marcovina SM, Hatsukami TS, Yuan C, Zhao XQ. Lp(a) (Lipoprotein(a)) Levels Predict Progression of Carotid Atherosclerosis in Subjects With Atherosclerotic Cardiovascular Disease on Intensive Lipid Therapy: An Analysis of the AIM-HIGH (Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides: Impact on Global Health Outcomes) Carotid Magnetic Resonance Imaging Substudy-Brief Report. Arterioscler Thromb Vasc Biol 2018; 38:673-678. [PMID: 29301785 DOI: 10.1161/atvbaha.117.310368] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 12/21/2017] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To assess whether Lp(a) (lipoprotein(a)) levels and other lipid levels were predictive of progression of atherosclerosis burden as assessed by carotid magnetic resonance imaging in subjects who have been treated with LDL-C (low-density lipoprotein cholesterol)-lowering therapy and participated in the AIM-HIGH trial (Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides: Impact on Global Health Outcomes). APPROACH AND RESULTS AIM-HIGH was a randomized, double-blind study of subjects with established vascular disease, elevated triglycerides, and low HDL-C (high-density lipoprotein cholesterol). One hundred fifty-two AIM-HIGH subjects underwent both baseline and 2-year follow-up carotid artery magnetic resonance imaging. Plaque burden was measured by the percent wall volume (%WV) of the carotid artery. Associations between annualized change in %WV with baseline and on-study (1 year) lipid variables were evaluated using multivariate linear regression and the Bonferroni correction to account for multiple comparisons. Average %WV at baseline was 41.6±6.8% and annualized change in %WV over 2 years ranged from -3.2% to 3.7% per year (mean: 0.2±1.1% per year; P=0.032). Increases in %WV were significantly associated with higher baseline Lp(a) (β=0.34 per 1-SD increase of Lp(a); 95% confidence interval, 0.15-0.52; P<0.001) after adjusting for clinical risk factors and other lipid levels. On-study Lp(a) had a similar positive association with %WV progression (β=0.33; 95% confidence interval, 0.15-0.52; P<0.001). CONCLUSIONS Despite intensive lipid therapy, aimed at aggressively lowering LDL-C to <70 mg/dL, carotid atherosclerosis continued to progress as assessed by carotid magnetic resonance imaging and that elevated Lp(a) levels were independent predictors of increases in atherosclerosis burden.
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Affiliation(s)
- Daniel S Hippe
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Binh An P Phan
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Jie Sun
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Daniel A Isquith
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Kevin D O'Brien
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - John R Crouse
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Todd Anderson
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - John Huston
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Santica M Marcovina
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Thomas S Hatsukami
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Chun Yuan
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.)
| | - Xue-Qiao Zhao
- From the Department of Radiology (D.S.H., J.S., C.Y.), Division of Cardiology (D.A.I., K.D.O., X.-Q.Z.), and Department of Surgery, Division of Vascular Surgery (T.S.H.), University of Washington School of Medicine, Seattle; Division of Cardiology, San Francisco General Hospital, University of California (B.A.P.P.); Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC (J.R.C.); Libin Cardiovascular Institute of Alberta, University of Calgary, Canada (T.A.); Department of Radiology, Mayo Clinic, Rochester, MN (J.H.); and Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle (S.M.M.).
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Sun J, Zhao XQ, Balu N, Neradilek MB, Isquith DA, Yamada K, Cantón G, Crouse JR, Anderson TJ, Huston J, O'Brien K, Hippe DS, Polissar NL, Yuan C, Hatsukami TS. Carotid Plaque Lipid Content and Fibrous Cap Status Predict Systemic CV Outcomes: The MRI Substudy in AIM-HIGH. JACC Cardiovasc Imaging 2017; 10:241-249. [PMID: 28279371 DOI: 10.1016/j.jcmg.2016.06.017] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 06/09/2016] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The aim of this study was to investigate whether and what carotid plaque characteristics predict systemic cardiovascular outcomes in patients with clinically established atherosclerotic disease. BACKGROUND Advancements in atherosclerosis imaging have allowed assessment of various plaque characteristics, some of which are more directly linked to the pathogenesis of acute cardiovascular events compared to plaque burden. METHODS As part of the event-driven clinical trial AIM-HIGH (Atherothrombosis Intervention in Metabolic Syndrome with Low HDL/High Triglycerides: Impact on Global Health Outcomes), subjects with clinically established atherosclerotic disease underwent multicontrast carotid magnetic resonance imaging (MRI) to detect plaque tissue composition and high-risk features. Prospective associations between MRI measurements and the AIM-HIGH primary endpoint (fatal and nonfatal myocardial infarction, ischemic stroke, hospitalization for acute coronary syndrome, and symptom-driven revascularization) were analyzed using Cox proportional hazards survival models. RESULTS Of the 232 subjects recruited, 214 (92.2%) with diagnostic image quality constituted the study population (82% male, mean age 61 ± 9 years, 94% statin use). During median follow-up of 35.1 months, 18 subjects (8.4%) reached the AIM-HIGH endpoint. High lipid content (hazard ratio [HR] per 1 SD increase in percent lipid core volume: 1.57; p = 0.002) and thin/ruptured fibrous cap (HR: 4.31; p = 0.003) in carotid plaques were strongly associated with the AIM-HIGH endpoint. Intraplaque hemorrhage had a low prevalence (8%) and was marginally associated with the AIM-HIGH endpoint (HR: 3.00; p = 0.053). High calcification content (HR per 1 SD increase in percent calcification volume: 0.66; p = 0.20), plaque burden metrics, and clinical risk factors were not significantly associated with the AIM-HIGH endpoint. The associations between carotid plaque characteristics and the AIM-HIGH endpoint changed little after adjusting for clinical risk factors, plaque burden, or AIM-HIGH randomized treatment assignment. CONCLUSIONS Among patients with clinically established atherosclerotic disease, carotid plaque lipid content and fibrous cap status were strongly associated with systemic cardiovascular outcomes. Markers of carotid plaque vulnerability may serve as novel surrogate markers for systemic atherothrombotic risk.
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Affiliation(s)
- Jie Sun
- Department of Radiology, University of Washington, Seattle, Washington
| | - Xue-Qiao Zhao
- Department of Medicine, University of Washington, Seattle, Washington
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington
| | | | - Daniel A Isquith
- Department of Medicine, University of Washington, Seattle, Washington
| | - Kiyofumi Yamada
- Department of Radiology, University of Washington, Seattle, Washington
| | - Gádor Cantón
- Department of Mechanical Engineering, University of Washington, Seattle, Washington
| | - John R Crouse
- Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Todd J Anderson
- Libin Cardiovascular Institute of Alberta and Cumming School of Medicine, Calgary, Alberta, Canada
| | - John Huston
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Kevin O'Brien
- Department of Medicine, University of Washington, Seattle, Washington
| | - Daniel S Hippe
- Department of Radiology, University of Washington, Seattle, Washington
| | | | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington
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Sun B, Li X, Liu X, Ge X, Lu Q, Zhao X, Pu J, Xu J, Zhao H. Association between carotid plaque characteristics and acute cerebral infarction determined by MRI in patients with type 2 diabetes mellitus. Cardiovasc Diabetol 2017; 16:111. [PMID: 28893252 PMCID: PMC5594451 DOI: 10.1186/s12933-017-0592-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 08/28/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) might aggravate the carotid plaque vulnerability, and increase the risk for ischemic stroke. Few studies reported the acute stroke subtype with carotid plaque characteristics in T2DM patients. This study aimed to investigate the association between carotid plaque characteristics and acute cerebral infarct (ACI) lesion features determined by MRI in T2DM patients. METHODS Patients with acute cerebrovascular syndrome in internal carotid artery territory were recruited. All patients were stratified into T2DM and non-T2DM groups and underwent both carotid and brain MRI scans. Ipsilateral carotid plaque morphological and compositional characteristics, intracranial and extracranial carotid artery stenosis were also determined. Stroke subtype based on the Trial of ORG 10172 in Acute Stroke Treatment classification and ACI lesion patterns were evaluated. RESULTS Of the recruited 140 patients, 68 (48.6%) patients had T2DM (mean age 64.16 ± 11.38 years, 40 males). T2DM patients exhibited higher prevalence of carotid type IV-VI lesions, larger plaque burden as well as larger lipid-rich necrotic core (LRNC) compared with non-T2DM patients. Among the patients with carotid LRNC on symptomatic side, more concomitant large perforating artery infarct patterns and larger ACI size in the internal carotid artery territory were found in T2DM group than those in non-T2DM group. Carotid plaque with LRNC% > 22.0% was identified as an independent risk factor for the presence of ACI lesions confined to the carotid territory in T2DM patients, regardless of other risk factors. CONCLUSIONS This study shows that more concomitant large perforating artery infarct patterns and larger ACI size in the internal carotid artery territory were found in the T2DM patients with ipsilateral carotid LRNC plaque than those in non-T2DM patients. Quantification of the carotid plaque characteristics, particularly the LRNC% by MRI has the potential usefulness for stroke risk stratification.
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Affiliation(s)
- Beibei Sun
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China
| | - Xiao Li
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China
| | - Xiaosheng Liu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China.
| | - Xiaoqian Ge
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China
| | - Qing Lu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Jun Pu
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China.
| | - Jianrong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China
| | - Huilin Zhao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, China.
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McNally JS, Kim SE, Mendes J, Hadley JR, Sakata A, De Havenon AH, Treiman GS, Parker DL. Magnetic Resonance Imaging Detection of Intraplaque Hemorrhage. MAGNETIC RESONANCE INSIGHTS 2017; 10:1-8. [PMID: 28469441 PMCID: PMC5348123 DOI: 10.1177/1178623x17694150] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Accepted: 01/25/2017] [Indexed: 11/16/2022]
Abstract
Carotid artery atherosclerosis is a major cause of ischemic stroke. For more than 30 years, future stroke risk and carotid stroke etiology have been determined using percent diameter stenosis based on clinical trials in the 1990s. In the past 10 years, magnetic resonance imaging (MRI) sequences have been developed to detect carotid intraplaque hemorrhage. By detecting carotid intraplaque hemorrhage, MRI identifies potential stroke sources that are often overlooked by lumen imaging. In addition, MRI can dramatically improve assessment of future stroke risk beyond lumen stenosis alone. In this review, we discuss the use of heavily T1-weighted MRI sequences used to detect carotid intraplaque hemorrhage. In addition, advances in ciné imaging, motion robust techniques, and specialized neck coils will be reviewed. Finally, the clinical use and future impact of MRI plaque hemorrhage imaging will be discussed.
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Affiliation(s)
- J Scott McNally
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
| | - Seong-Eun Kim
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
| | - Jason Mendes
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
| | - J Rock Hadley
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
| | - Akihiko Sakata
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
| | - Adam H De Havenon
- Department of Neurology, The University of Utah, Salt Lake City, UT, USA
| | - Gerald S Treiman
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
| | - Dennis L Parker
- Utah Center for Advanced Imaging Research, Department of Radiology and Imaging Sciences, The University of Utah, Salt Lake City, UT, USA
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Pelisek J, Wendorff H, Wendorff C, Kuehnl A, Eckstein HH. Age-associated changes in human carotid atherosclerotic plaques. Ann Med 2016; 48:541-551. [PMID: 27595161 DOI: 10.1080/07853890.2016.1204468] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Little is known about changes in carotid plaque morphology during aging and the possible impact on cardiovascular events. Only few studies addressed so far age-related modifications within atherosclerotic lesions. Therefore, in this work we endeavored to summarize the current knowledge about changing of plaque composition in elderly. The data from hitherto existing studies confirm that atherosclerotic plaques undergo distinct alternations with advanced age. However, the results are often ambiguous and the changes do not seem to be as disastrous as expected. Interestingly, none of the studies could definitely evidence increased plaque vulnerability with advanced age. Nevertheless, based on the previous work showing decrease in elastin fibers, fibroatheroma, SMCs, overall cellularity and increase in the area of lipid core, hemorrhage, and calcification, the plaque morphology appears to transform toward unstable plaques. Otherwise, even if inflammatory cells often accumulate in plaques of younger patients, their amount is reduced in the older age and so far no clear association has been observed between thin fibrous cap and aging. Thus, the accurate contribution of age-related changes in plaque morphology to cardiovascular events has yet to be elucidated. KEY MESSAGES Composition of carotid atherosclerotic lesions changes during aging. These alternations are however, just moderate and depend upon additional variables, such as life style, accompanying disease, genetics, and other factors that have yet to be determined. Based on the current data, the age-associated plaque morphology seems to transform toward vulnerable plaques. However, the changes do not seem to be as disastrous as expected.
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Affiliation(s)
- Jaroslav Pelisek
- a Department of Vascular and Endovascular Surgery , Klinikum rechts der Isar der Technischen Universitaet Muenchen , Munich , Germany
| | - Heiko Wendorff
- a Department of Vascular and Endovascular Surgery , Klinikum rechts der Isar der Technischen Universitaet Muenchen , Munich , Germany
| | - Carina Wendorff
- a Department of Vascular and Endovascular Surgery , Klinikum rechts der Isar der Technischen Universitaet Muenchen , Munich , Germany
| | - Andreas Kuehnl
- a Department of Vascular and Endovascular Surgery , Klinikum rechts der Isar der Technischen Universitaet Muenchen , Munich , Germany
| | - Hans-Henning Eckstein
- a Department of Vascular and Endovascular Surgery , Klinikum rechts der Isar der Technischen Universitaet Muenchen , Munich , Germany
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Zhao XQ, Yuan C, Shah PK. Imaging to Assess the Effect of Anti-Inflammatory Therapy in Aortic and Carotid Atherosclerosis. J Am Coll Cardiol 2016; 68:1781-1784. [PMID: 27737745 DOI: 10.1016/j.jacc.2016.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 08/14/2016] [Indexed: 10/20/2022]
Affiliation(s)
- Xue-Qiao Zhao
- Department of Cardiology, University of Washington, Seattle, Washington
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington.
| | - Prediman K Shah
- Department of Medicine, Cedars-Sinai Heart Institute, West Hollywood, California
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Bulwa Z, Kim A, Singh K, Kantorovich A, Suhail F. Recurrent Embolic Strokes of Undetermined Source in a Patient with Extreme Lipoprotein(a) Levels. Front Neurol 2016; 7:144. [PMID: 27630613 PMCID: PMC5005326 DOI: 10.3389/fneur.2016.00144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 08/22/2016] [Indexed: 11/29/2022] Open
Abstract
Lipoprotein(a) is a plasma lipoprotein and known cardiovascular risk factor, most recently implicated in the development of high-risk carotid atherosclerotic plaques without significant carotid stenosis. We present a case of a young African-American female with recurrent embolic strokes of undetermined source. After our thorough investigation, we identified the link between a small, irregular plaque in the right internal carotid artery, and an extremely elevated plasma level of lipoprotein(a) as the source of her embolic strokes.
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Affiliation(s)
- Zachary Bulwa
- Internal Medicine, University of Chicago - NorthShore University Health System , Evanston, IL , USA
| | - Audrey Kim
- Rosalind Franklin University of Medicine and Science , North Chicago, IL , USA
| | - Karandeep Singh
- Rosalind Franklin University of Medicine and Science , North Chicago, IL , USA
| | - Alexander Kantorovich
- College of Pharmacy, Chicago State University, Chicago, IL, USA; Internal Medicine, Advocate Christ Medical Center, Chicago, IL, USA
| | - Faten Suhail
- Internal Medicine, Advocate Christ Medical Center , Chicago, IL , USA
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O'Brien KD, Hippe DS, Chen H, Neradilek MB, Probstfield JL, Peck S, Isquith DA, Canton G, Yuan C, Polissar NL, Zhao XQ, Kerwin WS. Longer duration of statin therapy is associated with decreased carotid plaque vascularity by magnetic resonance imaging. Atherosclerosis 2016; 245:74-81. [PMID: 26708287 PMCID: PMC8629315 DOI: 10.1016/j.atherosclerosis.2015.11.032] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/06/2015] [Accepted: 11/26/2015] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Plaque neovasculature is a major route for lipoprotein and leukocyte ingress into plaques, and has been identified as a risk factor for carotid plaque disruption. Vp, a variable derived from pharmacokinetic modeling of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), correlates with plaque neovasculature density. Because lipid-lowering therapy has been associated with regression of neovasculature in animal models, we sought to determine clinical correlates of carotid plaque neovasculature (as assessed by Vp) in participants on statin therapy for established cardiovascular disease. METHODS 98 participants from an AIM-HIGH sub-study underwent DCE-MRI of their carotid arteries. Expert readers who were blinded to all clinical variables analyzed the MR images to measure carotid plaque Vp in all participants. Associations between Vp and duration of statin therapy and other clinical risk factors were analyzed. RESULTS Prior duration of statin treatment at enrollment ranged from <1 year (21%) 1-5 years (40%) and >5 years (39%). In univariate analyses, shorter duration of statin therapy (P = 0.01), the presence of metabolic syndrome (P = 0.02), and higher body mass index (P = 0.01) and lipoprotein(a) (P = 0.01) were all significantly associated with higher baseline Vp values. In multivariate analyses, significant associations remained between shorter duration of statin therapy (P = 0.004) and lipoprotein(a) (P = 0.04). CONCLUSIONS These are the first human, in vivo findings suggesting a relationship between duration of statin therapy and regression of carotid plaque neovasculature. Future longitudinal studies are warranted both to confirm this finding and to address whether changes in neovasculature may translate into change in risk for plaque disruption. CLINICALTRIALS. GOV IDENTIFIERS NCT00880178, NCT01178320 and NCT00120289.
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Affiliation(s)
- Kevin D O'Brien
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA.
| | - Daniel S Hippe
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Huijun Chen
- Center for Biomedical Imaging Research, Tsinghua University, Beijing, China
| | | | - Jeffrey L Probstfield
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Suzanne Peck
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA
| | - Daniel A Isquith
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Gador Canton
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | | | - Xue-Qiao Zhao
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
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Dong C, Della-Morte D, Cabral D, Wang L, Blanton SH, Seemant C, Sacco RL, Rundek T. Sirtuin/uncoupling protein gene variants and carotid plaque area and morphology. Int J Stroke 2015; 10:1247-52. [PMID: 26332421 PMCID: PMC6561468 DOI: 10.1111/ijs.12623] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Accepted: 06/22/2015] [Indexed: 12/19/2022]
Abstract
BACKGROUND Sirtuins and uncoupling proteins have been implicated in cardiovascular diseases by controlling oxidative stress. AIMS We sought to investigate the association of sirtuins and uncoupling proteins single nucleotide polymorphisms with total carotid plaque area and morphology measured by ultrasonographic gray scale median. METHODS We analyzed 1356 stroke-free subjects (60% women, mean age = 68 ± 9 years) from the Northern Manhattan Study. Multiple linear regression models were used to evaluate the association of 85 single nucleotide polymorphisms in 11 sirtuins/uncoupling protein genes with total plaque area and gray scale median after controlling for demographics, vascular risk factors (RFs), and population stratification. We investigated effect modifications of these relationship by gender and RFs and performed stratified analysis if the interaction effect had P < 0·005. RESULTS Among individuals with present plaque (55%), the mean total plaque area was 20·3 ± 20·8 mm(2) and gray scale median 90 ± 29. After adjustment, SIRT6 rs107251 was significantly associated with total plaque area (β = 0·30 per copy of T allele increase, Bonferroni-corrected P = 0·005). T allele carriers of rs1430583 in UCP1 showed a decreased gray scale median in women but not in men. The minor allele carriers of rs4980329 and rs12363280 in SIRT3 had higher gray scale median in men but not in women. Variants in UCP3 gene were significantly associated with higher mean gray scale median in individuals with dyslipidemia. CONCLUSION Our findings suggest that polymorphisms in SIRT6/UCP1 genes may be important for increased carotid plaque burden and echodensity, but translation of these findings to an individual risk of cerebrovascular events needs further investigation. Significant associations of rs1430583 in women, rs12363280 in men, and rs1685354 in those with dyslipidemia also deserve further investigations.
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Affiliation(s)
- Chuanhui Dong
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - David Della-Morte
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Systems Medicine, School of Medicine, University of Rome Tor Vergata, Rome, Italy
- IRCCS San Raffaele Pisana, Rome, Italy
| | - Digna Cabral
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Liyong Wang
- John T. McDonald Department of Human Genetics, John P Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Susan H. Blanton
- John T. McDonald Department of Human Genetics, John P Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Chaturvedi Seemant
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Ralph L. Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
- John T. McDonald Department of Human Genetics, John P Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Epidemiology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Epidemiology, Miller School of Medicine, University of Miami, Miami, FL, USA
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McLaughlin MS, Hinckley PJ, Treiman SM, Kim SE, Stoddard GJ, Parker DL, Treiman GS, McNally JS. Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers. AJNR Am J Neuroradiol 2015; 36:2360-6. [PMID: 26338923 DOI: 10.3174/ajnr.a4454] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Accepted: 05/03/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE MR imaging detects intraplaque hemorrhage with high accuracy by using the magnetization-prepared rapid acquisition of gradient echo sequence. Still, MR imaging is not readily available for all patients, and many undergo CTA instead. Our goal was to determine essential clinical and lumen imaging predictors of intraplaque hemorrhage, as indicators of its presence and clues to its pathogenesis. MATERIALS AND METHODS In this retrospective cross-sectional study, patients undergoing stroke work-up with MR imaging/MRA underwent carotid intraplaque hemorrhage imaging. We analyzed 726 carotid plaques, excluding vessels with non-carotid stroke sources (n = 420), occlusions (n = 7), or near-occlusions (n = 3). Potential carotid imaging predictors of intraplaque hemorrhage included percentage diameter and millimeter stenosis, plaque thickness, ulceration, and intraluminal thrombus. Clinical predictors were recorded, and a multivariable logistic regression model was fitted. Backward elimination was used to determine essential intraplaque hemorrhage predictors with a thresholded 2-sided P < .10. Receiver operating characteristic analysis was also performed. RESULTS Predictors of carotid intraplaque hemorrhage included plaque thickness (OR = 2.20, P < .001), millimeter stenosis (OR = 0.46, P < .001), ulceration (OR = 4.25, P = .020), age (OR = 1.11, P = .001), and male sex (OR = 3.23, P = .077). The final model discriminatory value was excellent (area under the curve = 0.932). This was significantly higher than models using only plaque thickness (area under the curve = 0.881), millimeter stenosis (area under the curve = 0.830), or ulceration (area under the curve= 0.715, P < .001). CONCLUSIONS Optimal discrimination of carotid intraplaque hemorrhage requires information on plaque thickness, millimeter stenosis, ulceration, age, and male sex. These factors predict intraplaque hemorrhage with high discriminatory power and may provide clues to the pathogenesis of intraplaque hemorrhage. This model could be used to predict the presence of intraplaque hemorrhage when MR imaging is contraindicated.
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Affiliation(s)
- M S McLaughlin
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
| | - P J Hinckley
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
| | - S M Treiman
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
| | - S-E Kim
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
| | - G J Stoddard
- Department of Orthopedics (G.J.S.), Study Design and Biostatistics Center
| | - D L Parker
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
| | - G S Treiman
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research Department of Surgery (G.S.T.), University of Utah, Salt Lake City, Utah Department of Surgery (G.S.T.), VA Salt Lake City Health Care System, Salt Lake City, Utah
| | - J S McNally
- From the Department of Radiology (M.S.M., P.J.H., S.M.T., S.-E.K., D.L.P., G.S.T., J.S.M.), Utah Center for Advanced Imaging Research
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In vivo semi-automatic segmentation of multicontrast cardiovascular magnetic resonance for prospective cohort studies on plaque tissue composition: initial experience. Int J Cardiovasc Imaging 2015; 32:73-81. [PMID: 26169389 DOI: 10.1007/s10554-015-0704-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 07/06/2015] [Indexed: 10/23/2022]
Abstract
Automatic in vivo segmentation of multicontrast (multisequence) carotid magnetic resonance for plaque composition has been proposed as a substitute for manual review to save time and reduce inter-reader variability in large-scale or multicenter studies. Using serial images from a prospective longitudinal study, we sought to compare a semi-automatic approach versus expert human reading in analyzing carotid atherosclerosis progression. Baseline and 6-month follow-up multicontrast carotid images from 59 asymptomatic subjects with 16-79 % carotid stenosis were reviewed by both trained radiologists with 2-4 years of specialized experience in carotid plaque characterization with MRI and a previously reported automatic atherosclerotic plaque segmentation algorithm, referred to as morphology-enhanced probabilistic plaque segmentation (MEPPS). Agreement on measurements from individual time points, as well as on compositional changes, was assessed using the intraclass correlation coefficient (ICC). There was good agreement between manual and MEPPS reviews on individual time points for calcification (CA) (area: ICC; 0.85-0.91; volume: ICC; 0.92-0.95) and lipid-rich necrotic core (LRNC) (area: ICC; 0.78-0.82; volume: ICC; 0.84-0.86). For compositional changes, agreement was good for CA volume change (ICC; 0.78) and moderate for LRNC volume change (ICC; 0.49). Factors associated with LRNC progression as detected by MEPPS review included intraplaque hemorrhage (positive association) and reduction in low-density lipoprotein cholesterol (negative association), which were consistent with previous findings from manual review. Automatic classifier for plaque composition produced results similar to expert manual review in a prospective serial MRI study of carotid atherosclerosis progression. Such automatic classification tools may be beneficial in large-scale multicenter studies by reducing image analysis time and avoiding bias between human reviewers.
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32
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Gupta A, Gialdini G, Lerario MP, Baradaran H, Giambrone A, Navi BB, Marshall RS, Iadecola C, Kamel H. Magnetic resonance angiography detection of abnormal carotid artery plaque in patients with cryptogenic stroke. J Am Heart Assoc 2015; 4:e002012. [PMID: 26077590 PMCID: PMC4599540 DOI: 10.1161/jaha.115.002012] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Magnetic resonance imaging of carotid plaque can aid in stroke risk stratification in patients with carotid stenosis. However, the prevalence of complicated carotid plaque in patients with cryptogenic stroke is uncertain, especially as assessed by plaque imaging techniques routinely included in acute stroke magnetic resonance imaging protocols. We assessed whether the magnetic resonance angiography–defined presence of intraplaque high-intensity signal (IHIS), a marker of intraplaque hemorrhage, is associated with ipsilateral cryptogenic stroke. Methods and Results Cryptogenic stroke patients with magnetic resonance imaging evidence of unilateral anterior circulation infarction and without hemodynamically significant (≥50%) stenosis of the cervical carotid artery were identified from a prospective stroke registry at a tertiary-care hospital. High-risk plaque was assessed by evaluating for IHIS on routine magnetic resonance angiography source images using a validated technique. To compare the presence of IHIS on the ipsilateral versus contralateral side within individual patients, we used McNemar’s test for correlated proportions. A total of 54 carotid arteries in 27 unique patients were included. A total of 6 patients (22.2%) had IHIS-positive nonstenosing carotid plaque ipsilateral to the side of ischemic stroke compared to 0 patients who had IHIS-positive carotid plaques contralateral to the side of stroke (P=0.01). Stroke severity measures, diagnostic evaluations, and prevalence of vascular risk factors were not different between the IHIS-positive and IHIS-negative groups. Conclusions Our findings suggest that a proportion of strokes classified as cryptogenic may be mechanistically related to complicated, nonhemodynamically significant cervical carotid artery plaque that can easily be detected by routine magnetic resonance imaging/magnetic resonance angiography acute stroke protocols.
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Affiliation(s)
- Ajay Gupta
- Department of Radiology, Weill Cornell Medical College (WCMC), New York, NY (A.G., H.B.) Feil Family Brain and Mind Research Institute, Weill Cornell Medical College (WCMC), New York, NY (A.G., G.G., B.B.N., C.I., H.K.)
| | - Gino Gialdini
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College (WCMC), New York, NY (A.G., G.G., B.B.N., C.I., H.K.)
| | - Michael P Lerario
- Department of Neurology, Weill Cornell Medical College (WCMC), New York, NY (M.P.L., B.B.N., C.I., H.K.)
| | - Hediyeh Baradaran
- Department of Radiology, Weill Cornell Medical College (WCMC), New York, NY (A.G., H.B.)
| | - Ashley Giambrone
- Department of Healthcare Policy and Research, Weill Cornell Medical College (WCMC), New York, NY (A.G.)
| | - Babak B Navi
- Department of Neurology, Weill Cornell Medical College (WCMC), New York, NY (M.P.L., B.B.N., C.I., H.K.) Feil Family Brain and Mind Research Institute, Weill Cornell Medical College (WCMC), New York, NY (A.G., G.G., B.B.N., C.I., H.K.)
| | - Randolph S Marshall
- Department of Neurology, Columbia University Medical Center, New York, NY (R.S.M.)
| | - Costantino Iadecola
- Department of Neurology, Weill Cornell Medical College (WCMC), New York, NY (M.P.L., B.B.N., C.I., H.K.) Feil Family Brain and Mind Research Institute, Weill Cornell Medical College (WCMC), New York, NY (A.G., G.G., B.B.N., C.I., H.K.)
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medical College (WCMC), New York, NY (M.P.L., B.B.N., C.I., H.K.) Feil Family Brain and Mind Research Institute, Weill Cornell Medical College (WCMC), New York, NY (A.G., G.G., B.B.N., C.I., H.K.)
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