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Shen R, Tong X, Zhao C, Qiao H, Ning Z, Li J, Zhao H, Yuan C, Zhao X. Atherosclerotic plaque characteristics in extracranial carotid artery may indicate closer association with white matter hyperintensities than intracranial arteries: A CARE-II study. Eur J Radiol 2024; 170:111208. [PMID: 37988960 DOI: 10.1016/j.ejrad.2023.111208] [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: 09/03/2023] [Accepted: 11/16/2023] [Indexed: 11/23/2023]
Abstract
PURPOSE This study aimed to investigate the associations of atherosclerotic plaque characteristics in intracranial and extracranial carotid arteries with severity of white matter hyperintensities (WMHs) in symptomatic patients using magnetic resonance (MR) imaging. METHOD Patients with cerebrovascular symptoms and carotid plaque were recruited from the cross-sectional, multicenter study of CARE-II. Luminal stenosis of intracranial and extracranial carotid arteries, carotid plaque compositional features, and WMHs were evaluated by brain structural and vascular MR imaging. The atherosclerotic plaque characteristics in intracranial and extracranial carotid arteries were compared between patients with and without moderate-to-severe WMHs (Fazekas score > 2), and their associations with severity of WMHs were analyzed using logistic regression. RESULTS Of the recruited 622 patients (mean age, 58.7 ± 10.9 years; 422 males), 221 (35.5 %) had moderate-to-severe WMHs with higher prevalence of moderate-to-severe luminal stenosis (17.0 % vs. 10.4 %), intraplaque hemorrhage (15.7 % vs. 9.0 %), thin/ruptured fibrous cap (30.2 % vs. 20.4 %), calcification (44.4 % vs. 22.2 %) and lipid-rich necrotic core (63.8 % vs. 51.1 %) in carotid artery compared to those without (all P < 0.05). Multivariate logistic regression showed that carotid calcification (OR, 1.854; 95 % CI, 1.187-2.898; P = 0.007) was independently associated with moderate-to-severe WMHs after adjusting for confounding factors. No significant association was found between intracranial atherosclerotic stenosis and moderate-to-severe WMHs (P > 0.05). CONCLUSION Carotid atherosclerotic plaque features, particularly presence of calcification, were independently associated with severity of WMHs, but such association was not found in intracranial atherosclerotic stenosis, suggesting that carotid atherosclerotic plaque characteristics may have closer association with severity of WMHs compared to intracranial atherosclerosis.
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Affiliation(s)
- Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xinyu Tong
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Chenyang Zhao
- Department of Radiology, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Jin Li
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Huilin Zhao
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
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Zhu KL, Shang ZY, Liu BJ, Wang Y, Li J, Yang BQ, Ntaios G, Chen HS. The association of intracranial atherosclerosis with cerebral small vessel disease imaging markers: a high-resolution magnetic resonance imaging study. Sci Rep 2023; 13:17017. [PMID: 37813922 PMCID: PMC10562462 DOI: 10.1038/s41598-023-44240-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/05/2023] [Indexed: 10/11/2023] Open
Abstract
To evaluate the association of intracranial non-stenotic atherosclerotic plaque with cerebral small vessel disease (CSVD) imaging markers in a CSVD population using 3.0 T high-resolution magnetic resonance imaging (HRMRI), which was validated in embolic stroke of undetermined source (ESUS) cohort. We retrospectively recruited consecutive patients who were diagnosed with CSVD or ESUS from January 2015 to December 2019. All patients underwent intracranial HRMRI to assess intracranial non-stenotic atherosclerotic plaques. Baseline and imaging data were collected and were measured among all patients. Among 153 patients with CSVD, there were 59 with intracranial atherosclerotic plaque (IAP) and 94 with non-IAP, including 36 with intracranial atherosclerotic complicated plaque (IACP). Among 227 ESUS patients, there were 155 with IAP and 72 with non-IAP, including 127 with IACP. In the CSVD population, we found that: (1) CSVD burden was associated with IAP (p = 0.036) and IACP (p = 0.008); (2) IAP was associated with white matter hyperintensity (51% vs. 34%; P = 0.039), and IACP was associated with lacunes (69% vs. 35%; P = 0.009) and enlarge perivascular space (69% vs. 39%; P = 0.022). A similar association of CSVD imaging markers with IAP or IACP was found in the ESUS population. Furthermore, the association of unilateral IAP or IACP with CSVD imaging markers of ipsilateral hemisphere was identified in the two cohorts. This is the first report that intracranial non-stenotic atherosclerotic plaque, especially complicated plaque, is closely associated with CSVD imaging markers, which provide further evidence for the association of large artery atherosclerosis with CSVD.
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Affiliation(s)
- Kang-Li Zhu
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China
| | - Zi-Yang Shang
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China
| | - Bai-Jun Liu
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China
| | - Ying Wang
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China
| | - Jing Li
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China
| | - Ben-Qiang Yang
- Department of Radiology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China
| | - George Ntaios
- Department of Internal Medicine, School of Health Sciences, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Hui-Sheng Chen
- Department of Neurology, General Hospital of Northern Theater Command, Shenyang, People's Republic of China.
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Nardi V, Benson JC, Saba L, Bois MC, Meyer FB, Lanzino G, Lerman LO, Lerman A. Patients with Carotid Intraplaque Hemorrhage Have Higher Incidence of Cerebral Microbleeds. Curr Probl Cardiol 2023:101779. [PMID: 37172877 DOI: 10.1016/j.cpcardiol.2023.101779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 05/07/2023] [Indexed: 05/15/2023]
Abstract
AIMS Carotid intraplaque hemorrhage (IPH) is considered a marker of plaque vulnerability. Cerebral microbleeds (CMBs) are recognized on magnetic resonance imaging (MRI) in patients with cerebrovascular disease. Any connection between carotid IPH and CMBs remains scantly investigated. This study aimed to determine whether the histologic evidence of carotid IPH is related to CMBs. METHODS We retrospectively enrolled 101 consecutive patients undergoing carotid endarterectomy with symptomatic (ischemic stroke, TIA, and amaurosis fugax) or asymptomatic ipsilateral carotid artery disease. The presence and the extent (%) of IPH were identified on carotid plaques stained with Movat Pentachrome. CMBs were localized on T2*-weighted gradient-recalled echo or susceptibility-weighted imaging sequence on brain MRI before surgery. The degree of carotid stenosis was measured by neck CTA. RESULTS IPH was identified in 57 (56.4%) patients, and CMBs were found in 24 (23.7%) patients. CMBs were more commonly observed in patients with carotid IPH compared to those without [19 (33.3%) vs 5 (11.4%); p=0.010]. The carotid IPH extent was significantly higher in patients with CMBs than in those without [9.0 % (2.8-27.1%) vs 0.9% (0.0-13.9%); p=0.004] and was associated with the number of CMBs (p=0.004). Logistic regression analysis demonstrated an independent association between carotid IPH extent and the presence of CMBs [OR 1.051 (95% CI 1.012-1.090); p=0.009]. Additionally, patients with CMBs had a lower degree of ipsilateral carotid stenosis compared to those without [40% (35-65%) vs 70% (50-80%); p=0.049]. CONCLUSIONS CMBs may be potential markers of the ongoing process of carotid IPH, especially in those with nonobstructive plaques.
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Affiliation(s)
- Valentina Nardi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - John C Benson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Luca Saba
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Department of Radiology, University of Cagliari, Italy
| | - Melanie C Bois
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Fredric B Meyer
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Giuseppe Lanzino
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Lilach O Lerman
- Department of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Amir Lerman
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
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Yasin S, Tasdemir R. An Investigation of the Relationship Between Carotid Artery Stenosis and White Matter Hyperintensities. Cureus 2023; 15:e39468. [PMID: 37378251 PMCID: PMC10292070 DOI: 10.7759/cureus.39468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Introduction White matter hyperintensities (WMHs) are frequently detected on magnetic resonance imaging (MRI) with age. Although the etiology of WMH has not been fully explained, it was reported to be associated with internal carotid artery (ICA) stenosis as well as small vessel diseases. The number and volume of these lesions might increase in cases of internal carotid artery (ICA) stenosis. The present study aimed to calculate the localization and volumes of white matter lesions in the VolBrain Program and investigate the relationship between age and sex in patients with symptomatic and asymptomatic internal carotid artery stenosis. Methods MRI scans of patients with carotid stenosis with T1-weighted and fluid-attenuated inversion recovery (FLAIR) sequences were performed retrospectively for the present study, which had a retrospective design. The patients were divided into two groups (<70% and ≥70%) because endovascular intervention was considered in patients with asymptomatic stenosis over 70%. Digital subtraction angiography was used to detect carotid artery stenosis. They were also divided into four groups. According to laterality and degree of stenosis, ICA stenosis was separated as those with <70% stenosis on both sides (group 1), right side ICA <70%, left side ≥70% stenosis (group 2), right side ICA ≥70%, left side <70% stenosis (group 3), and ≥70% stenosis on both sides (group 4). A total of 102 patient images were selected that met the inclusion criteria. The measurements of white matter lesion volumes were made using the LesionBrain application in the VolBrain Program. Results The MRI of 82 patients (mean age: 65.55 ± 9.28 years), 28 females and 54 males, were used in the present study. According to LesionBrain Analysis, the total WMH volume was seen in the first and third groups at most. When analyzed in regional terms, stenosis was mostly detected in the first and third groups in the periventricular region. WMH volume was less in all areas in group 4. When examined according to the number of lesions, the most lesions were detected in the third group in the juxtacortical region. When the difference between the groups was examined, a significant difference was detected only in the volume change in the deep white region (p=0.011). No significant differences were found between WMH volumes and age and gender (p>0.05). Conclusion Stenosis of the external internal carotid artery might cause hypoperfusion and silent embolization in the brain. As a result, as well as pathological conditions in cortical areas, ischemic areas in the white matter might also cause cognitive disorders.
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Affiliation(s)
- Sedat Yasin
- Department of Neurology, Faculty of Medicine, Gaziantep University, Gaziantep, TUR
| | - Rabia Tasdemir
- Department of Anatomy, School of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, TUR
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Rimmele DL, Petersen EL, Schlemm E, Kessner SS, Petersen M, Mayer C, Cheng B, Zeller T, Waldeyer C, Behrendt CA, Gerloff C, Thomalla G. Association of Carotid Plaque and Flow Velocity With White Matter Integrity in a Middle-aged to Elderly Population. Neurology 2022; 99:e2699-e2707. [PMID: 36123124 DOI: 10.1212/wnl.0000000000201297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES It is uncertain whether there is an association of carotid plaques (CPs) and flow velocities with peak width mean diffusivity (PSMD) and white matter hyperintensities (WMH) independent of shared risk factors. We aimed to study this association controlling for biomarkers of inflammation and cardiac dysfunction and typical cardiovascular risk factors and spatial distribution. METHODS We included participants from the population-based Hamburg City Health Study, recruiting citizens between 45 and 74 years of age. Medical history was obtained from structured interviews and extended laboratory tests, physical examinations, MRI of the head, echocardiography, and abdominal and carotid ultrasound were performed. We performed multivariable regression analysis with PSMD and periventricular, deep, and total volume of WMH (pWMH, dWMH, tWMH) as dependent variables. PSMD was calculated as the difference between the 95th and 5th percentiles of MD values on the white skeleton in standard space. Volumes of WMH were determined by the application of a manually trained k-nearest neighbor segmentation algorithm. WMH measured within a distance of 1 cm from the surface of the lateral ventricles were defined as pWMH and above 1 cm as dWMH. RESULTS Two thousand six hundred twenty-three participants were included. The median age was 65 years, and 56% were women. Their median tWMH was 946 mm3(IQR:419, 2,164), PSMD 2.24 mm2/s × 10-4 (IQR: 2.04, 2.47), peak systolic velocity (PSV) of internal carotid arteries 0.70m/second (IQR:0.60, 0.81), and 35% had CPs. Adjusted for age, sex, high-sensitive CRP, NT-proBNP, and commonly measured cardiovascular risk and systemic hemodynamic factors, both CPs (B = 0.15; CI: 0.04, 0.26; p = 0.006) and low PSV (B = -0.49; CI: -0.87, -0.11; p = 0.012) were significantly associated with a higher tWMH and PSMD. Low PSV (B = -0.48; CI: -0.87, -0.1; p = 0.013) was associated with pWMH and the presence of CP with pWMH (B = 0.15; CI: 0.04, 0.26; p = 0.008) and dWMH (B = 0.42; CI: 0.11, 0.74; p < 0.009). DISCUSSION Low PSV and CP are associated with WMH and PSMD independent of cardiovascular risk factors and biomarkers of inflammation and cardiac dysfunction. This points toward pathophysiologic pathways underlying both large and small vessel disease beyond the common cardiovascular risk profile. TRIAL REGISTRATION INFORMATION The trial was submitted at clinicaltrials.gov, under NCT03934957 on January 4, 2019. The first participant was enrolled in February 2016.
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Affiliation(s)
- David Leander Rimmele
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany.
| | - Elina Larissa Petersen
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Eckhard Schlemm
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Simon S Kessner
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Marvin Petersen
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Carola Mayer
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Bastian Cheng
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Tanja Zeller
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Christoph Waldeyer
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Christian-Alexander Behrendt
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Christian Gerloff
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Götz Thomalla
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
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Ölmez B, Togay Işikay C, Peker E, Sorgun MH. The Relationship Between Renal Function and Imaging Markers and Total Burden of Cerebral Small Vessel Disease. Neurologist 2022; 27:157-163. [PMID: 34855677 DOI: 10.1097/nrl.0000000000000388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Previous studies demonstrating the association between renal functions and cerebral small vessel diseases have usually focused on white matter hyperintensity in the general population or lacunar stroke patients. This study aimed to investigate the effects of renal function on imaging markers of cerebral small vessel disease and etiologic subtypes of stroke in patients with acute ischemic stroke or transient ischemic attack. MATERIALS AND METHODS A total of 356 consecutive patients with acute ischemic stroke or transient ischemic attack who were admitted to the Stroke Unit and underwent brain magnetic resonance imaging were evaluated. Demographic data, vascular risk factors, stroke etiology, estimated glomerular filtration rate and severity of cerebral small vessel disease markers, and total cerebral small vessel disease burden were evaluated. RESULTS There was a significant inverse correlation between estimated glomerular filtration rate and total number of lacunes, periventricular and deep subcortical Fazekas scores, grade of enlarged perivascular spaces in the centrum semiovale, lobar and total cerebral microbleeds, and total cerebral small vessel disease burden. Impaired renal function was an independent risk factor for the presence of lacunes, deep cerebral microbleeds, and increased total burden. Renal function impairment and periventricular white matter hyperintensities were significantly associated with the etiologic subgroup of small vessel occlusion. The results were still significant after the exclusion of patients below 50 years of age. CONCLUSION Our results indicate that there is a relationship between renal function impairment and increased total burden, as well as acute ischemic stroke/transient ischemic attack due to small vessel occlusion.
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Affiliation(s)
| | | | - Elif Peker
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
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Sliz E, Shin J, Ahmad S, Williams DM, Frenzel S, Gauß F, Harris SE, Henning AK, Hernandez MV, Hu YH, Jiménez B, Sargurupremraj M, Sudre C, Wang R, Wittfeld K, Yang Q, Wardlaw JM, Völzke H, Vernooij MW, Schott JM, Richards M, Proitsi P, Nauck M, Lewis MR, Launer L, Hosten N, Grabe HJ, Ghanbari M, Deary IJ, Cox SR, Chaturvedi N, Barnes J, Rotter JI, Debette S, Ikram MA, Fornage M, Paus T, Seshadri S, Pausova Z. Circulating Metabolome and White Matter Hyperintensities in Women and Men. Circulation 2022; 145:1040-1052. [PMID: 35050683 PMCID: PMC9645366 DOI: 10.1161/circulationaha.121.056892] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH), identified on T2-weighted magnetic resonance images of the human brain as areas of enhanced brightness, are a major risk factor of stroke, dementia, and death. There are no large-scale studies testing associations between WMH and circulating metabolites. METHODS We studied up to 9290 individuals (50.7% female, average age 61 years) from 15 populations of 8 community-based cohorts. WMH volume was quantified from T2-weighted or fluid-attenuated inversion recovery images or as hypointensities on T1-weighted images. Circulating metabolomic measures were assessed with mass spectrometry and nuclear magnetic resonance spectroscopy. Associations between WMH and metabolomic measures were tested by fitting linear regression models in the pooled sample and in sex-stratified and statin treatment-stratified subsamples. Our basic models were adjusted for age, sex, age×sex, and technical covariates, and our fully adjusted models were also adjusted for statin treatment, hypertension, type 2 diabetes, smoking, body mass index, and estimated glomerular filtration rate. Population-specific results were meta-analyzed using the fixed-effect inverse variance-weighted method. Associations with false discovery rate (FDR)-adjusted P values (PFDR)<0.05 were considered significant. RESULTS In the meta-analysis of results from the basic models, we identified 30 metabolomic measures associated with WMH (PFDR<0.05), 7 of which remained significant in the fully adjusted models. The most significant association was with higher level of hydroxyphenylpyruvate in men (PFDR.full.adj=1.40×10-7) and in both the pooled sample (PFDR.full.adj=1.66×10-4) and statin-untreated (PFDR.full.adj=1.65×10-6) subsample. In men, hydroxyphenylpyruvate explained 3% to 14% of variance in WMH. In men and the pooled sample, WMH were also associated with lower levels of lysophosphatidylcholines and hydroxysphingomyelins and a larger diameter of low-density lipoprotein particles, likely arising from higher triglyceride to total lipids and lower cholesteryl ester to total lipids ratios within these particles. In women, the only significant association was with higher level of glucuronate (PFDR=0.047). CONCLUSIONS Circulating metabolomic measures, including multiple lipid measures (eg, lysophosphatidylcholines, hydroxysphingomyelins, low-density lipoprotein size and composition) and nonlipid metabolites (eg, hydroxyphenylpyruvate, glucuronate), associate with WMH in a general population of middle-aged and older adults. Some metabolomic measures show marked sex specificities and explain a sizable proportion of WMH variance.
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Affiliation(s)
- Eeva Sliz
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Jean Shin
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Dylan M. Williams
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Friederike Gauß
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sarah E. Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Yi-Han Hu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Beatriz Jiménez
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - Carole Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London
- School of Biomedical Engineering & Imaging Sciences, King’s College London
| | - Ruiqi Wang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, and Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Petroula Proitsi
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthew R. Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ian J. Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Simon R. Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- ECOGENE-21, Chicoutimi, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
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8
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Brown R, Low A, Markus HS. Rate of, and risk factors for, white matter hyperintensity growth: a systematic review and meta-analysis with implications for clinical trial design. J Neurol Neurosurg Psychiatry 2021; 92:1271-1277. [PMID: 34344790 DOI: 10.1136/jnnp-2021-326569] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/05/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are a highly prevalent MRI marker of cerebral small vessel disease (SVD), which predict stroke and dementia risk, and are being increasingly used as a surrogate marker in clinical trials. However, the influence of study population selection on WMH progression rate has not been studied and the effect of individual patient factors for WMH growth are not fully understood. METHODS We performed a systematic review and meta-analysis of the literature on progression of WMHs in longitudinal studies to determine rates of WMH growth, and how these varied according to population characteristics and cardiovascular risk factors. We used these data to calculate necessary sample sizes for clinical trials using WMH as an endpoint. RESULTS WMH growth rate was highest in SVD (2.50cc/year), intermediate in unselected stroke patients (1.29cc/year) and lower in patients with non-stroke cardiovascular disease, and with cognitive impairment. Age was significantly associated with progression (correlation coefficient 0.15cc/year, 95% CI 0.02 to 0.28cc/year) as was baseline lesion volume (0.6cc/year, 95% CI 0.13 to 1.06 cc/year). Both hypertension (OR 1.72, 95% CI 1.19 to 2.46) and current smoking (OR 1.48, 95% CI 1.02 to 2.16) were associated with WMH growth. Sample sizes for a clinical trial varied greatly with patient population selection and baseline lesion volume; estimates are provided. CONCLUSIONS WMH progression varies markedly according to the characteristics of the population being studied and this will have a major impact on sample sizes required in a clinical trial. Our sample size estimates provide data for planning clinical trials using WMH as an outcome measure. PROSPERO REGISTRATION NUMBER CRD42020191781.
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Affiliation(s)
- Robin Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Audrey Low
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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9
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Fan X, Zhang X, Lai Z, Lin T, You H, Liu C, Feng F. Cerebral Small Vessel Disease Burden Related to Carotid Intraplaque Hemorrhage Serves as an Imaging Marker for Clinical Symptoms in Carotid Stenosis. Front Neurol 2021; 12:731237. [PMID: 34721263 PMCID: PMC8551444 DOI: 10.3389/fneur.2021.731237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/07/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: In patients with carotid stenosis, to investigate the relationship between carotid intraplaque hemorrhage (IPH) and total burden of cerebral small vessel disease (CSVD) and preliminarily explore whether the total CSVD burden as an imaging marker can distinguish the severity of clinical symptoms. Methods: A total of 108 patients (the mean age was 66 ± 7 years, and 85.2% were male) with unilateral carotid stenosis ≥50% underwent brain MRI and high-resolution MRI for carotid plaque characterization. The total burden of CSVD was calculated by accumulating one point according to the presence or severity of each of the four MRI markers: white matter hyperintensities, lacunes, perivascular spaces, and cerebral microbleeds. Recent clinical symptoms including transient ischemic attack, amaurosis fugax, and ischemic stroke were recorded. The association between intraplaque hemorrhage (IPH) and total CSVD burden was examined adjusted for other risk factors. The symmetry of CSVD burdens between the ipsilateral and contralateral hemispheres of IPH was tested. Imaging features (CSVD score, IPH, degree of stenosis, and completeness of the circle of Willis) were correlated with clinical symptoms by Kruskal-Wallis H test, Chi-square test, and Fisher's exact test. Results: Multivariable logistic regression analysis showed that IPH (OR = 2.98, 95% CI [1.39, 6.40], p = 0.005) was independently associated with a higher CSVD score. The presence of unilateral IPH was associated with the inter-hemispheric CSVD score difference (p = 0.004). Patients with stroke had a higher ipsilateral CSVD score than asymptomatic patients (p = 0.004) and those with transient ischemic attack/amaurosis fugax (p = 0.008). The statistical difference was marginally significant between symptoms and IPH (p = 0.057). No statistical difference was found between the symptoms and degree of stenosis and the completeness of the circle of Willis (p > 0.05). Conclusions: Carotid IPH is associated with an elevated total burden of CSVD in patients with carotid stenosis. Compared with the degree of stenosis, primary collaterals, and IPH, the total CSVD score might be a more effective imaging marker linked with clinical symptoms.
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Affiliation(s)
- Xiaoyuan Fan
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoqian Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhichao Lai
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tianye Lin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hui You
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Changwei Liu
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,State Key Laboratory of Difficult, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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10
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Ammirati E, Moroni F, Magnoni M, Rocca MA, Messina R, Anzalone N, De Filippis C, Scotti I, Besana F, Spagnolo P, Rimoldi OE, Chiesa R, Falini A, Filippi M, Camici PG. Extent and characteristics of carotid plaques and brain parenchymal loss in asymptomatic patients with no indication for revascularization. IJC HEART & VASCULATURE 2020; 30:100619. [PMID: 32904369 PMCID: PMC7452655 DOI: 10.1016/j.ijcha.2020.100619] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/01/2020] [Accepted: 08/10/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Extent of subclinical atherosclerosis has been associated with brain parenchymal loss in community-dwelling aged subjects. Identification of patient-related and plaque-related markers could identify subjects at higher risk of brain atrophy, independent of cerebrovascular accidents. Aim of the study was to investigate the relation between extent and characteristics of carotid plaques and brain atrophy in asymptomatic patients with no indication for revascularization. METHODS AND RESULTS Sixty-four patients (aged 69 ± 8 years, 45% females) with carotid stenosis <70% based on Doppler flow velocity were enrolled in the study. Potential causes of cerebral damage other than atherosclerosis, including history of atrial fibrillation, heart failure, previous cardiac or neurosurgery and neurological disorders were excluded. All subjects underwent carotid computed tomography angiography, contrast enhanced ultrasound for assessment of plaque neovascularization and brain magnetic resonance imaging for measuring brain volumes. On multivariate regression analysis, age and fibrocalcific plaques were independently associated with lower total brain volumes (β = -3.13 and β = -30.7, both p < 0.05). Fibrocalcific plaques were also independently associated with lower gray matter (GM) volumes (β = -28.6, p = 0.003). On the other hand, age and extent of carotid atherosclerosis were independent predictors of lower white matter (WM) volumes. CONCLUSIONS WM and GM have different susceptibility to processes involved in parenchymal loss. Contrary to common belief, our results show that presence of fibrocalcific plaques is associated with brain atrophy.
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Affiliation(s)
- Enrico Ammirati
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
- De Gasperis Cardio Center, Niguarda Ca’ Granda Hospital, Milan, Italy
| | | | - Marco Magnoni
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
| | - Maria A Rocca
- Vita-Salute University and Neuroimaging Research Unit, Institute of Experimental Neurology, and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Roberta Messina
- Vita-Salute University and Neuroimaging Research Unit, Institute of Experimental Neurology, and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Nicoletta Anzalone
- Vita-Salute University and Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - Costantino De Filippis
- Vita-Salute University and Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - Isabella Scotti
- Department of Rheumatology, Istituto Ortopedico Gaetano Pini, Milan, Italy
| | - Francesca Besana
- Cardiovascular Prevention Center, San Raffaele Institute, Milan, Italy
| | - Pietro Spagnolo
- Cardiovascular Prevention Center, San Raffaele Institute, Milan, Italy
- Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy
| | | | - Roberto Chiesa
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
| | - Andrea Falini
- Vita-Salute University and Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Vita-Salute University and Neuroimaging Research Unit, Institute of Experimental Neurology, and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Paolo G Camici
- Vita-Salute University and San Raffaele Hospital, Milan, Italy
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11
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Porcu M, Cocco L, Saloner D, Suri JS, Montisci R, Carriero A, Saba L. Extracranial Carotid Artery Stenosis: The Effects on Brain and Cognition with a Focus on Resting‐State Functional Connectivity. J Neuroimaging 2020; 30:736-745. [DOI: 10.1111/jon.12777] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/10/2020] [Accepted: 08/11/2020] [Indexed: 12/27/2022] Open
Affiliation(s)
- Michele Porcu
- Department of Radiology, AOU of Cagliari University of Cagliari Cagliari Italy
| | - Luigi Cocco
- Department of Neurology University of Genova Genova Italy
| | - David Saloner
- Department of Radiology and Biomedical Imaging University of California San Francisco CA
| | - Jasjit S. Suri
- Diagnostic and Monitoring Division AtheroPoint™ Roseville CA
| | - Roberto Montisci
- Department of Vascular Surgery AOU of Cagliari University of Cagliari Cagliari Italy
| | - Alessandro Carriero
- Radiology Department, University of Eastern Piedmont “Maggiore della Carità” Hospital Novara Italy
| | - Luca Saba
- Department of Radiology, AOU of Cagliari University of Cagliari Cagliari Italy
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12
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Moroni F, Ammirati E, Hainsworth AH, Camici PG. Association of White Matter Hyperintensities and Cardiovascular Disease: The Importance of Microcirculatory Disease. Circ Cardiovasc Imaging 2020; 13:e010460. [PMID: 33232175 DOI: 10.1161/circimaging.120.010460] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Cardiac and cerebrovascular diseases are currently the leading causes of mortality and disability worldwide. Both the heart and brain display similar vascular anatomy, with large conduit arteries running on the surface of the organ providing tissue perfusion through an intricate network of penetrating small vessels. Both organs rely on fine tuning of local blood flow to match metabolic demand. Blood flow regulation requires adequate functioning of the microcirculation in both organs, with loss of microvascular function, termed small vessel disease (SVD) underlying different potential clinical manifestations. SVD in the heart, known as coronary microvascular dysfunction, can cause chronic or acute myocardial ischemia and may lead to development of heart failure. In the brain, cerebral SVD can cause an acute stroke syndrome known as lacunar stroke or more subtle pathological alterations of the brain parenchyma, which may eventually lead to neurological deficits or cognitive decline in the long term. Coronary microcirculation cannot be visualized in vivo in humans, and functional information can be deduced by measuring the coronary flow reserve. The diagnosis of cerebral SVD is largely based on brain magnetic resonance imaging, with white matter hyperintensities, microbleeds, and brain atrophy reflecting key structural changes. There is evidence that such structural changes reflect underlying cerebral SVD. Here, we review interactions between SVD and cardiovascular risk factors, and we discuss the evidence linking cerebral SVD with large vessel atheroma, atrial fibrillation, heart failure, and heart valve disease.
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Affiliation(s)
- Francesco Moroni
- Cardiothoracic and Vascular Department, Vita-Salute University and San Raffaele Hospital, Milan, Italy (F.M., P.G.C.)
| | - Enrico Ammirati
- De Gasperis Cardio Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy (E.A.)
| | - Atticus H Hainsworth
- Molecular and Clinical Sciences Research Institute, St George's, University of London, United Kingdom (A.H.H.)
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, United Kingdom (A.H.H.)
| | - Paolo G Camici
- Cardiothoracic and Vascular Department, Vita-Salute University and San Raffaele Hospital, Milan, Italy (F.M., P.G.C.)
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13
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Wang Y, Jiang C, Huang H, Liu N, Wang Y, Chen Z, Liang S, Wu M, Jiang Y, Wang X, Zhou T, Chen H, Zhang L, Li H. Correlation of Cerebral White Matter Lesions with Carotid Intraplaque Neovascularization assessed by Contrast-enhanced Ultrasound. J Stroke Cerebrovasc Dis 2020; 29:104928. [PMID: 32689582 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104928] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 04/27/2020] [Accepted: 04/29/2020] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Carotid atherosclerotic plaque is closely associated with cerebral white matter lesions (WMLs), while intraplaque neovascularization (IPN) contributes significantly to arterial remodeling and plaque vulnerability. In this study, we aim to evaluate the correlation of carotid IPN with cerebral WMLs. METHODS The presence of IPN and WMLs were assessed by contrast-enhanced ultrasound (CEUS) and MRI respectively. IPN was evaluated utilizing semi-quantification visual grading scale and WMLs was divided according to Fazekas grading scale. We investigated the baseline data, Fazekas grades, and IPN grades among 269 participants. We explored the influences of each variable on Fazekas grades using ordinal logistic regression and evaluated the relationship between IPN grades and WMLs Fazekas grades. RESULTS Increased age (OR: 1.06, P<0.001), hypertension (OR: 2.17, P=0.002), cerebral infarction (OR: 1.74, P=0.046), and elevated carotid IPN grading were significantly associated with aggravated Fazekas grades (grade 2 or 3). To be specific, people having grade 3, 2, and 1 carotid IPN were 25.84 (P<0.001), 10.64 (P<0.001), and 5.96 (P=0.010) times as likely to have elevated Fazekas grades compared with those who having grade 0 carotid IPN. CONCLUSION Increased carotid IPN is independently correlated with aggravated cerebral WMLs.
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Affiliation(s)
- Yuxuan Wang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine, Nanjing, China.
| | - Chao Jiang
- Department of Public Health, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Hui Huang
- Department of Ultrasound, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Niu Liu
- Department of Ultrasound, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yi Wang
- Department of Neurosurgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Zhaoyao Chen
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Sen Liang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Minghua Wu
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yajun Jiang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xiaoxiao Wang
- GCP Center, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Tingting Zhou
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Hu Chen
- Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Lin Zhang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
| | - Hui Li
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
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