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Nies KPH, Aizaz M, van Dam-Nolen DHK, Goring TCD, Schreuder TAHCML, van Orshoven NP, Postma AA, Bos D, Hendrikse J, Nederkoorn P, van der Geest R, van Oostenbrugge RJ, Mess WH, Kooi ME. Signal intensity and volume of carotid intraplaque hemorrhage on magnetic resonance imaging and the risk of ipsilateral cerebrovascular events: The Plaque At RISK (PARISK) study. J Cardiovasc Magn Reson 2024; 26:101049. [PMID: 38878969 PMCID: PMC11282977 DOI: 10.1016/j.jocmr.2024.101049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/17/2024] [Accepted: 06/06/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND The Plaque At RISK (PARISK) study demonstrated that patients with a carotid plaque with intraplaque hemorrhage (IPH) have an increased risk of recurrent ipsilateral ischemic cerebrovascular events. It was previously reported that symptomatic carotid plaques with IPH showed higher IPH signal intensity ratios (SIR) and larger IPH volumes than asymptomatic plaques. We explored whether IPH SIR and IPH volume are associated with future ipsilateral ischemic cerebrovascular events beyond the presence of IPH. METHODS Transient ischemic attack and ischemic stroke patients with mild-to-moderate carotid stenosis and an ipsilateral IPH-positive carotid plaque (n = 89) from the PARISK study were included. The clinical endpoint was a new ipsilateral ischemic cerebrovascular event during 5 years of follow-up, while the imaging-based endpoint was a new ipsilateral brain infarct on brain magnetic resonance imaging (MRI) after 2 years (n = 69). Trained observers delineated IPH, a hyperintense region compared to surrounding muscle tissue on hyper T1-weighted magnetic resonance images. The IPH SIR was the maximal signal intensity in the IPH region divided by the mean signal intensity of adjacent muscle tissue. The associations between IPH SIR or volume and the clinical and imaging-based endpoint were investigated using Cox proportional hazard models and logistic regression, respectively. RESULTS During 5.1 (interquartile range: 3.1-5.6) years of follow-up, 21 ipsilateral cerebrovascular ischemic events were identified. Twelve new ipsilateral brain infarcts were identified on the 2-year neuro MRI. There was no association for IPH SIR or IPH volume with the clinical endpoint (hazard ratio (HR): 0.89 [95% confidence interval: 0.67-1.10] and HR: 0.91 [0.69-1.19] per 100-µL increase, respectively) nor with the imaging-based endpoint (odds ratio (OR): 1.04 [0.75-1.45] and OR: 1.21 [0.87-1.68] per 100-µL increase, respectively). CONCLUSION IPH SIR and IPH volume were not associated with future ipsilateral ischemic cerebrovascular events. Therefore, quantitative assessment of IPH of SIR and volume does not seem to provide additional value beyond the presence of IPH for stroke risk assessment. TRIAL REGISTRATION The PARISK study was registered on ClinicalTrials.gov with ID NCT01208025 on September 21, 2010 (https://clinicaltrials.gov/study/NCT01208025).
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Affiliation(s)
- Kelly P H Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mueez Aizaz
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Neurology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Timothy C D Goring
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | | | - Narender P van Orshoven
- Department of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands; Department of Neurology, Zuyderland Medical Center, Sittard, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs) Maastricht University, Maastricht, the Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jeroen Hendrikse
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Paul Nederkoorn
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Rob van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Robert J van Oostenbrugge
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Werner H Mess
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Clinical Neurophysiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - M Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
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Camarasa R, Kervadec H, Kooi ME, Hendrikse J, Nederkoorn PJ, Bos D, de Bruijne M. Nested star-shaped objects segmentation using diameter annotations. Med Image Anal 2023; 90:102934. [PMID: 37688981 DOI: 10.1016/j.media.2023.102934] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 08/02/2023] [Accepted: 08/10/2023] [Indexed: 09/11/2023]
Abstract
Most current deep learning based approaches for image segmentation require annotations of large datasets, which limits their application in clinical practice. We observe a mismatch between the voxelwise ground-truth that is required to optimize an objective at a voxel level and the commonly used, less time-consuming clinical annotations seeking to characterize the most important information about the patient (diameters, counts, etc.). In this study, we propose to bridge this gap for the case of multiple nested star-shaped objects (e.g., a blood vessel lumen and its outer wall) by optimizing a deep learning model based on diameter annotations. This is achieved by extracting in a differentiable manner the boundary points of the objects at training time, and by using this extraction during the backpropagation. We evaluate the proposed approach on segmentation of the carotid artery lumen and wall from multisequence MR images, thus reducing the annotation burden to only four annotated landmarks required to measure the diameters in the direction of the vessel's maximum narrowing. Our experiments show that training based on diameter annotations produces state-of-the-art weakly supervised segmentations and performs reasonably compared to full supervision. We made our code publicly available at https://gitlab.com/radiology/aim/carotid-artery-image-analysis/nested-star-shaped-objects.
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Affiliation(s)
- Robin Camarasa
- Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
| | - Hoel Kervadec
- Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Academic Medical Center University of Amsterdam, Amsterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Computer Science, University of Copenhagen, Denmark.
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3
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Kassem M, Nies KPH, Boswijk E, van der Pol J, Aizaz M, Gijbels MJJ, Li D, Bucerius J, Mess WH, Wildberger JE, van Oostenbrugge RJ, Moonen RPM, Fan Z, Kooi ME. Quantification of carotid plaque composition with a multi-contrast atherosclerosis characterization (MATCH) MRI sequence. Front Cardiovasc Med 2023; 10:1227495. [PMID: 37680565 PMCID: PMC10481960 DOI: 10.3389/fcvm.2023.1227495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/18/2023] [Indexed: 09/09/2023] Open
Abstract
Background and purpose Carotid atherosclerotic plaques with a large lipid-rich necrotic core (LRNC), intraplaque hemorrhage (IPH), and a thin or ruptured fibrous cap are associated with increased stroke risk. Multi-sequence MRI can be used to quantify carotid atherosclerotic plaque composition. Yet, its clinical implementation is hampered by long scan times and image misregistration. Multi-contrast atherosclerosis characterization (MATCH) overcomes these limitations. This study aims to compare the quantification of plaque composition with MATCH and multi-sequence MRI. Methods MATCH and multi-sequence MRI were used to image 54 carotid arteries of 27 symptomatic patients with ≥2 mm carotid plaque on a 3.0 T MRI scanner. The following sequence parameters for MATCH were used: repetition time/echo time (TR/TE), 10.1/4.35 ms; field of view, 160 mm × 160 mm × 2 mm; matrix size, 256 × 256; acquired in-plane resolution, 0.63 mm2× 0.63 mm2; number of slices, 18; and flip angles, 8°, 5°, and 10°. Multi-sequence MRI (black-blood pre- and post-contrast T1-weighted, time of flight, and magnetization prepared rapid acquisition gradient echo; acquired in-plane resolution: 0.63 mm2 × 0.63 mm2) was acquired according to consensus recommendations, and image quality was scored (5-point scale). The interobserver agreement in plaque composition quantification was assessed by the intraclass correlation coefficient (ICC). The sensitivity and specificity of MATCH in identifying plaque composition were calculated using multi-sequence MRI as a reference standard. Results A significantly lower image quality of MATCH compared to that of multi-sequence MRI was observed (p < 0.05). The scan time for MATCH was shorter (7 vs. 40 min). Interobserver agreement in quantifying plaque composition on MATCH images was good to excellent (ICC ≥ 0.77) except for the total volume of calcifications and fibrous tissue that showed moderate agreement (ICC ≥ 0.61). The sensitivity and specificity of detecting plaque components on MATCH were ≥89% and ≥91% for IPH, ≥81% and 85% for LRNC, and ≥71% and ≥32% for calcifications, respectively. Overall, good-to-excellent agreement (ICC ≥ 0.76) of quantifying plaque components on MATCH with multi-sequence MRI as the reference standard was observed except for calcifications (ICC = 0.37-0.38) and fibrous tissue (ICC = 0.59-0.70). Discussion and conclusion MATCH images can be used to quantify plaque components such as LRNC and IPH but not for calcifications. Although MATCH images showed a lower mean image quality score, short scan time and inherent co-registration are significant advantages.
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Affiliation(s)
- Mohamed Kassem
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Kelly P. H. Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Ellen Boswijk
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam, Netherlands
| | - Jochem van der Pol
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Mueez Aizaz
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Marion J. J. Gijbels
- Department of Pathology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Amsterdam Infection and Immunity, Amsterdam UMC, Amsterdam, Netherlands
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Jan Bucerius
- Department of Nuclear Medicine, Georg-August University Göttingen, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Werner H. Mess
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Joachim E. Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Robert J. van Oostenbrugge
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Rik P. M. Moonen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Zhaoyang Fan
- Department of Radiology, University of Southern California, Los Angeles, CA, United States
| | - M. Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
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4
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Chemaly M, Marlevi D, Iglesias MJ, Lengquist M, Kronqvist M, Bos D, van Dam-Nolen DHK, van der Kolk A, Hendrikse J, Kassem M, Matic L, Odeberg J, de Vries MR, Kooi ME, Hedin U. Biliverdin Reductase B Is a Plasma Biomarker for Intraplaque Hemorrhage and a Predictor of Ischemic Stroke in Patients with Symptomatic Carotid Atherosclerosis. Biomolecules 2023; 13:882. [PMID: 37371462 DOI: 10.3390/biom13060882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Intraplaque hemorrhage (IPH) is a hallmark of atherosclerotic plaque instability. Biliverdin reductase B (BLVRB) is enriched in plasma and plaques from patients with symptomatic carotid atherosclerosis and functionally associated with IPH. OBJECTIVE We explored the biomarker potential of plasma BLVRB through (1) its correlation with IPH in carotid plaques assessed by magnetic resonance imaging (MRI), and with recurrent ischemic stroke, and (2) its use for monitoring pharmacotherapy targeting IPH in a preclinical setting. METHODS Plasma BLVRB levels were measured in patients with symptomatic carotid atherosclerosis from the PARISK study (n = 177, 5 year follow-up) with and without IPH as indicated by MRI. Plasma BLVRB levels were also measured in a mouse vein graft model of IPH at baseline and following antiangiogenic therapy targeting vascular endothelial growth factor receptor 2 (VEGFR-2). RESULTS Plasma BLVRB levels were significantly higher in patients with IPH (737.32 ± 693.21 vs. 520.94 ± 499.43 mean fluorescent intensity (MFI), p = 0.033), but had no association with baseline clinical and biological parameters. Plasma BLVRB levels were also significantly higher in patients who developed recurrent ischemic stroke (1099.34 ± 928.49 vs. 582.07 ± 545.34 MFI, HR = 1.600, CI [1.092-2.344]; p = 0.016). Plasma BLVRB levels were significantly reduced following prevention of IPH by anti-VEGFR-2 therapy in mouse vein grafts (1189 ± 258.73 vs. 1752 ± 366.84 MFI; p = 0.004). CONCLUSIONS Plasma BLVRB was associated with IPH and increased risk of recurrent ischemic stroke in patients with symptomatic low- to moderate-grade carotid stenosis, indicating the capacity to monitor the efficacy of IPH-preventive pharmacotherapy in an animal model. Together, these results suggest the utility of plasma BLVRB as a biomarker for atherosclerotic plaque instability.
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Affiliation(s)
- Melody Chemaly
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - David Marlevi
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Maria-Jesus Iglesias
- Science for Life Laboratory, Department of Protein Science, School of Engineering Sciences in Chemistry/Biotechnology and Health, KTH Royal Institute of Technology, 11428 Stockholm, Sweden
| | - Mariette Lengquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Malin Kronqvist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Anja van der Kolk
- Department of Medical Imaging, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
- Department of Radiology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Mohamed Kassem
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Ljubica Matic
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Jacob Odeberg
- Science for Life Laboratory, Department of Protein Science, School of Engineering Sciences in Chemistry/Biotechnology and Health, KTH Royal Institute of Technology, 11428 Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Huddinge, 14152 Stockholm, Sweden
- Department of Clinical Medicine, UiT-The Arctic University of Norway, 9019 Tromsø, Norway
| | - Margreet R de Vries
- Einthoven Laboratory, Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Ulf Hedin
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden
- Department of Vascular Surgery, Karolinska University Hospital, 17176 Stockholm, Sweden
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5
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Zadi T, van Dam-Nolen DHK, Aizaz M, van der Kolk AG, Nederkoorn PJ, Hendrikse J, Kooi ME, van der Lugt A, Bos D. Changes in intra- and extracranial carotid plaque calcification: a 2-year follow-up study. Sci Rep 2023; 13:8384. [PMID: 37225731 DOI: 10.1038/s41598-023-34223-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 04/26/2023] [Indexed: 05/26/2023] Open
Abstract
Extra- and intracranial carotid plaque calcification might have plaque-stabilizing effects, yet information on changes in plaque calcification remains scarce. We evaluated changes in carotid plaque calcification over 2 years follow-up in patients with symptomatic carotid artery disease. This study is based on the PARISK-study, a multicenter cohort study, with TIA/minor stroke patients with ipsilateral mild-to-moderate carotid artery stenosis (< 70%). We included 79 patients (25% female, mean age 66 years) who underwent CTA imaging with 2 year interval. We assessed the volume of extra- and intracranial carotid artery calcification (ECAC and ICAC) and calculated the difference between baseline and follow-up ECAC and ICAC volume. We performed multivariable regression analyses to investigate the association between change of ECAC or ICAC with cardiovascular determinants. ECAC. We found increase (46.2%) and decrease (34%) in ECAC volume during 2 year follow-up, both significantly correlation with baseline ECAC volume (OR = 0.72, 95% CI 0.58-0.90 respectively OR = 2.24, 95% CI 1.60-3.13).We found significant correlation for change in ECAC volume with diabetes (β = 0.46, 95% CI 0.03-0.89) and baseline ECAC volume (β = 0.81, 95% CI 0.73-0.88). ICAC. We found increase (45.0%) and decrease (25.0%) in ICAC volume. The ICAC decrease was significantly correlated with baseline ICAC volume (OR = 2.17, 95% CI 1.48-3.16), age (OR = 2.00, 95% CI 1.19-3.38) and use of antihypertensive drugs (OR = 3.79, 95% CI 1.20-11.96]).The overall change of ICAC volume was also significantly correlated with diabetes (β = 0.92, 95% CI 1.59-7.02), use of oral hypoglycemic drugs (β = 0.86, 95% CI 0.12-1.59) and baseline ICAC volume (β = 0.71, 95% CI 0.55-0.87). We provide novel insights into the dynamics of carotid plaque calcification in symptomatic stroke patients.
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Affiliation(s)
- T Zadi
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molenwaterplein 40, 3015 GD, Rotterdam, The Netherlands.
| | - D H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molenwaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - M Aizaz
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - A G van der Kolk
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - P J Nederkoorn
- Department of Neurology, Academic Medical Center, Amsterdam, The Netherlands
| | - J Hendrikse
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M E Kooi
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - A van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molenwaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - D Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molenwaterplein 40, 3015 GD, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
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van Velzen TJ, Stolp J, van Dam-Nolen D, Kassem M, Hendrikse J, Kooi ME, Bos D, Nederkoorn PJ. Higher Leukocyte Count Is Associated with Lower Presence of Carotid Lipid-Rich Necrotic Core: A Sub-Study in the Plaque at RISK (PARISK) Study. J Clin Med 2023; 12:jcm12041370. [PMID: 36835906 PMCID: PMC9961713 DOI: 10.3390/jcm12041370] [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] [Received: 01/02/2023] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Increasing evidence suggests that inflammation inside the vessel wall has a prominent role in atherosclerosis. In carotid atherosclerosis in particular, vulnerable plaque characteristics are strongly linked to an increased stroke risk. An association between leukocytes and plaque characteristics has not been investigated before and could help with gaining knowledge on the role of inflammation in plaque vulnerability, which could contribute to a new target for intervention. In this study, we investigated the association of the leukocyte count with carotid vulnerable plaque characteristics. METHODS All patients from the Plaque At RISK (PARISK) study whom had complete data on their leukocyte count and CTA- and MRI-based plaque characteristics were included. Univariable logistic regression was used to detect associations of the leukocyte count with the separate plaque characteristics (intra-plaque haemorrhage (IPH), lipid-rich-necrotic core (LRNC), thin or ruptured fibrous cap (TRFC), plaque ulceration and plaque calcifications). Subsequently, other known risk factors for stroke were included as covariates in a multivariable logistic regression model. RESULTS 161 patients were eligible for inclusion in this study. Forty-six (28.6%) of these patients were female with a mean age of 70 [IQR 64-74]. An association was found between a higher leukocyte count and lower prevalence of LRNC (OR 0.818 (95% CI 0.687-0.975)) while adjusting for covariates. No associations were found between the leucocyte count and the presence of IPH, TRFC, plaque ulceration or calcifications. CONCLUSIONS The leukocyte count is inversely associated with the presence of LRNC in the atherosclerotic carotid plaque in patients with a recently symptomatic carotid stenosis. The exact role of leukocytes and inflammation in plaque vulnerability deserves further attention.
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Affiliation(s)
- Twan Jowan van Velzen
- Department of Neurology, Amsterdam UMC, Location AMC, 1105 AZ Amsterdam, The Netherlands
- Correspondence: ; Tel.: +31-20-566-9111
| | - Jeffrey Stolp
- Department of Neurology, Amsterdam UMC, Location AMC, 1105 AZ Amsterdam, The Netherlands
| | - Dianne van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Mohamed Kassem
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, 6229 HX Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, UMC Utrecht Brain Center, 3584 CX Utrecht, The Netherlands
| | - Marianne Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, 6229 HX Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 GE Rotterdam, The Netherlands
| | - Paul J. Nederkoorn
- Department of Neurology, Amsterdam UMC, Location AMC, 1105 AZ Amsterdam, The Netherlands
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7
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Sakai Y, Lehman VT, Eisenmenger LB, Obusez EC, Kharal GA, Xiao J, Wang GJ, Fan Z, Cucchiara BL, Song JW. Vessel wall MR imaging of aortic arch, cervical carotid and intracranial arteries in patients with embolic stroke of undetermined source: A narrative review. Front Neurol 2022; 13:968390. [PMID: 35968273 PMCID: PMC9366886 DOI: 10.3389/fneur.2022.968390] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/01/2022] [Indexed: 11/13/2022] Open
Abstract
Despite advancements in multi-modal imaging techniques, a substantial portion of ischemic stroke patients today remain without a diagnosed etiology after conventional workup. Based on existing diagnostic criteria, these ischemic stroke patients are subcategorized into having cryptogenic stroke (CS) or embolic stroke of undetermined source (ESUS). There is growing evidence that in these patients, non-cardiogenic embolic sources, in particular non-stenosing atherosclerotic plaque, may have significant contributory roles in their ischemic strokes. Recent advancements in vessel wall MRI (VW-MRI) have enabled imaging of vessel walls beyond the degree of luminal stenosis, and allows further characterization of atherosclerotic plaque components. Using this imaging technique, we are able to identify potential imaging biomarkers of vulnerable atherosclerotic plaques such as intraplaque hemorrhage, lipid rich necrotic core, and thin or ruptured fibrous caps. This review focuses on the existing evidence on the advantages of utilizing VW-MRI in ischemic stroke patients to identify culprit plaques in key anatomical areas, namely the cervical carotid arteries, intracranial arteries, and the aortic arch. For each anatomical area, the literature on potential imaging biomarkers of vulnerable plaques on VW-MRI as well as the VW-MRI literature in ESUS and CS patients are reviewed. Future directions on further elucidating ESUS and CS by the use of VW-MRI as well as exciting emerging techniques are reviewed.
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Affiliation(s)
- Yu Sakai
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Vance T. Lehman
- Department of Radiology, The Mayo Clinic, Rochester, MN, United States
| | - Laura B. Eisenmenger
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | | | - G. Abbas Kharal
- Department of Neurology, Cerebrovascular Center, Neurological Institute, Cleveland, OH, United States
| | - Jiayu Xiao
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Grace J. Wang
- Department of Vascular Surgery and Endovascular Therapy, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Zhaoyang Fan
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Brett L. Cucchiara
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Jae W. Song
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
- *Correspondence: Jae W. Song
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8
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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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9
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de Vries JJ, Autar ASA, van Dam-Nolen DHK, Donkel SJ, Kassem M, van der Kolk AG, van Velzen TJ, Kooi ME, Hendrikse J, Nederkoorn PJ, Bos D, van der Lugt A, de Maat MPM, van Beusekom HMM. Association between plaque vulnerability and neutrophil extracellular traps (NETs) levels: The Plaque At RISK study. PLoS One 2022; 17:e0269805. [PMID: 35679310 PMCID: PMC9182254 DOI: 10.1371/journal.pone.0269805] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 05/06/2022] [Indexed: 11/18/2022] Open
Abstract
Carotid atherosclerotic plaque rupture and its sequelae are among the leading causes of acute ischemic stroke. The risk of rupture and subsequent thrombosis is, among others, determined by vulnerable plaque characteristics and linked to activation of the immune system, in which neutrophil extracellular traps (NETs) potentially play a role. The aim of this study was to investigate how plaque vulnerability is associated with NETs levels. We included 182 patients from the Plaque At RISK (PARISK) study in whom carotid imaging was performed to measure plaque ulceration, fibrous cap integrity, intraplaque hemorrhage, lipid-rich necrotic core, calcifications and plaque volume. Principal component analysis generated a ‘vulnerability index’ comprising all plaque characteristics. Levels of the NETs marker myeloperoxidase-DNA complex were measured in patient plasma. The association between the vulnerability index and low or high NETs levels (dependent variable) was assessed by logistic regression. No significant association between the vulnerability index and NETs levels was detected in the total population (odds ratio 1.28, 95% confidence interval 0.90–1.83, p = 0.18). However, in the subgroup of patients naive to statins or antithrombotic medication prior to the index event, this association was statistically significant (odds ratio 2.08, 95% confidence interval 1.04–4.17, p = 0.04). Further analyses revealed that this positive association was mainly driven by intraplaque hemorrhage, lipid-rich necrotic core and ulceration. In conclusion, plaque vulnerability is positively associated with plasma levels of NETs, but only in patients naive to statins or antithrombotic medication prior to the index event.
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Affiliation(s)
- Judith J. de Vries
- Department of Hematology, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anouchska S. A. Autar
- Department of Hematology, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Experimental Cardiology, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Dianne H. K. van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Samantha J. Donkel
- Department of Hematology, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mohamed Kassem
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Anja G. van der Kolk
- Department of Radiology, Netherlands Cancer Institute / Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Twan J. van Velzen
- Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands
| | - M. Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paul J. Nederkoorn
- Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Moniek P. M. de Maat
- Department of Hematology, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Heleen M. M. van Beusekom
- Department of Experimental Cardiology, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, The Netherlands
- * E-mail:
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10
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van Dam-Nolen DH, Truijman MT, van der Kolk AG, Liem MI, Schreuder FH, Boersma E, Daemen MJ, Mess WH, van Oostenbrugge RJ, van der Steen AF, Bos D, Koudstaal PJ, Nederkoorn PJ, Hendrikse J, van der Lugt A, Kooi ME. Carotid Plaque Characteristics Predict Recurrent Ischemic Stroke and TIA. JACC Cardiovasc Imaging 2022; 15:1715-1726. [DOI: 10.1016/j.jcmg.2022.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/18/2022] [Accepted: 04/01/2022] [Indexed: 01/01/2023]
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11
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Shah GV. Editorial for "Quantitative Magnetic Resonance Imaging Assessment of the Relationships Between Fat Fraction and R2* Inside Carotid Plaques, and Circulating Lipoproteins". J Magn Reson Imaging 2022; 55:1271-1272. [PMID: 35238101 DOI: 10.1002/jmri.28129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 02/14/2022] [Indexed: 11/11/2022] Open
Affiliation(s)
- Gaurang V Shah
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
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12
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Crombag G, Aizaz M, Schreuder F, Benali F, van Dam-Nolen D, Liem M, Lucci C, van der Steen A, Daemen M, Mess W, van der Lugt A, Nederkoorn P, Hendrikse J, Hofman P, van Oostenbrugge R, Wildberger J, Kooi M. Proximal Region of Carotid Atherosclerotic Plaque Shows More Intraplaque Hemorrhage: The Plaque at Risk Study. AJNR Am J Neuroradiol 2022; 43:265-271. [PMID: 35121587 PMCID: PMC8985675 DOI: 10.3174/ajnr.a7384] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/14/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE Intraplaque hemorrhage contributes to lipid core enlargement and plaque progression, leading to plaque destabilization and stroke. The mechanisms that contribute to the development of intraplaque hemorrhage are not completely understood. A higher incidence of intraplaque hemorrhage and thin/ruptured fibrous cap (upstream of the maximum stenosis in patients with severe [≥70%] carotid stenosis) has been reported. We aimed to noninvasively study the distribution of intraplaque hemorrhage and a thin/ruptured fibrous cap in patients with mild-to-moderate carotid stenosis. MATERIALS AND METHODS Eighty-eight symptomatic patients with stroke (<70% carotid stenosis included in the Plaque at Risk study) demonstrated intraplaque hemorrhage on MR imaging in the carotid artery plaque ipsilateral to the side of TIA/stroke. The intraplaque hemorrhage area percentage was calculated. A thin/ruptured fibrous cap was scored by comparing pre- and postcontrast black-blood TSE images. Differences in mean intraplaque hemorrhage percentages between the proximal and distal regions were compared using a paired-samples t test. The McNemar test was used to reveal differences in proportions of a thin/ruptured fibrous cap. RESULTS We found significantly larger areas of intraplaque hemorrhage in the proximal part of the plaque at 2, 4, and 6 mm from the maximal luminal narrowing, respectively: 14.4% versus 9.6% (P = .04), 14.7% versus 5.4% (P < .001), and 11.1% versus 2.2% (P = .001). Additionally, we found an increased proximal prevalence of a thin/ruptured fibrous cap on MR imaging at 2, 4, 6, and 8 mm from the MR imaging section with the maximal luminal narrowing, respectively: 33.7% versus 18.1%, P = .007; 36.1% versus 7.2%, P < .001; 33.7% versus 2.4%, P = .001; and 30.1% versus 3.6%, P = .022. CONCLUSIONS We demonstrated that intraplaque hemorrhage and a thin/ruptured fibrous cap are more prevalent on the proximal side of the plaque compared with the distal side in patients with mild-to-moderate carotid stenosis.
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Affiliation(s)
- G.A.J.C. Crombag
- From the Departments of Radiology and Nuclear Medicine (G.A.J.C.C., M.A., F.B., P.A.M.H., J.E.W., M.E.K.),CARIM School for Cardiovascular Diseases (G.A.J.C.C., M.A., R.J.v.O., J.E.W., M.E.K.), Maastricht University, Maastricht, the Netherlands
| | - M. Aizaz
- From the Departments of Radiology and Nuclear Medicine (G.A.J.C.C., M.A., F.B., P.A.M.H., J.E.W., M.E.K.),CARIM School for Cardiovascular Diseases (G.A.J.C.C., M.A., R.J.v.O., J.E.W., M.E.K.), Maastricht University, Maastricht, the Netherlands
| | - F.H.B.M. Schreuder
- Department of Neurology & Donders Institute for Brain Cognition & Behaviour (F.H.B.M.S.), Radboud University Medical Center, Nijmegen, the Netherlands
| | - F. Benali
- From the Departments of Radiology and Nuclear Medicine (G.A.J.C.C., M.A., F.B., P.A.M.H., J.E.W., M.E.K.)
| | | | - M.I. Liem
- Departments of Neurology (M.I.L., P.J.N.)
| | - C. Lucci
- Department of Radiology (C.L., J.H.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - A.F. van der Steen
- Biomedical Engineering (A.F.v.d.S.), Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M.J.A.P. Daemen
- Pathology (M.J.A.P.D.), Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | | | - A. van der Lugt
- Departments of Radiology and Nuclear Medicine (D.H.K.v.D.-N., A.v.d.L.)
| | | | - J. Hendrikse
- Department of Radiology (C.L., J.H.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - P.A.M. Hofman
- From the Departments of Radiology and Nuclear Medicine (G.A.J.C.C., M.A., F.B., P.A.M.H., J.E.W., M.E.K.)
| | - R.J. van Oostenbrugge
- Neurology (R.J.v.O.), Maastricht University Medical Center, Maastricht, the Netherlands,CARIM School for Cardiovascular Diseases (G.A.J.C.C., M.A., R.J.v.O., J.E.W., M.E.K.), Maastricht University, Maastricht, the Netherlands
| | - J.E. Wildberger
- From the Departments of Radiology and Nuclear Medicine (G.A.J.C.C., M.A., F.B., P.A.M.H., J.E.W., M.E.K.),CARIM School for Cardiovascular Diseases (G.A.J.C.C., M.A., R.J.v.O., J.E.W., M.E.K.), Maastricht University, Maastricht, the Netherlands
| | - M.E. Kooi
- From the Departments of Radiology and Nuclear Medicine (G.A.J.C.C., M.A., F.B., P.A.M.H., J.E.W., M.E.K.),CARIM School for Cardiovascular Diseases (G.A.J.C.C., M.A., R.J.v.O., J.E.W., M.E.K.), Maastricht University, Maastricht, the Netherlands
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13
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van Dam-Nolen DH, van Egmond NC, Dilba K, Nies K, van der Kolk AG, Liem MI, Kooi ME, Hendrikse J, Nederkoorn PJ, Koudstaal PJ, van der Lugt A, Bos D. Sex Differences in Plaque Composition and Morphology Among Symptomatic Patients With Mild-to-Moderate Carotid Artery Stenosis. Stroke 2022; 53:370-378. [PMID: 34983237 PMCID: PMC8785521 DOI: 10.1161/strokeaha.121.036564] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Supplemental Digital Content is available in the text. Background and Purpose: Incidence of ischemic stroke differs between men and women, with substantially higher rates in men. The underlying mechanism of this difference remains poorly understood but may be because of differences in carotid atherosclerosis. Using an in-depth imaging-based approach, we investigated differences between carotid plaque composition and morphology in male and female patients with stroke, taking into account differences in total plaque burden. Additionally, we investigated all possible within-artery combinations of plaque characteristics to explore differences between various plaque phenotypes. Methods: We included 156 men and 68 women from the PARISK (Plaque At Risk) study, a prospective cohort study of patients with recent ischemic cerebrovascular symptoms and <70% ipsilateral carotid stenosis. Plaque characteristics (intraplaque hemorrhage [IPH], lipid-rich necrotic core [LRNC], calcifications, thin-or-ruptured fibrous cap, ulcerations, total plaque volume) were assessed with magnetic resonance imaging and multidetector-row computed tomography angiography. We used multivariable logistic and linear regression analyses to assess sex differences in plaque characteristics. Results: We found significant difference in total plaque volume between men and women (β=22.9 mm3 [95% CI, 15.4–30.5]; mean volume in men 1399±425 mm3, in women 1011±242 mm3). Additionally, men were more likely to have IPH (odds ratio [OR]=2.8 [95% CI, 1.3–6.3]; IPH proportion in men 49%, in women 16%) and LRNC (OR=2.4 [95% CI, 1.2–4.7]; LRNC proportion in men 73%, in women 41%) even after adjustment for total plaque volume. We found no sex-specific differences in plaque volume-corrected volumes of IPH, LRNC, and calcifications. In terms of coexistence of plaque characteristics, we found that men had more often a plaque with coexistence of calcifications, LRNC, and IPH (OR=2.7 [95% CI, 1.2–7.0]), with coexistence of thin-or-ruptured fibrous cap/ulcerations, LRNC, and IPH (OR=2.4 [95% CI, 1.1–5.9]), and with coexistence of all plaque characteristics (OR=3.0 [95% CI, 1.2–8.6]). Conclusions: In symptomatic patients with mild-to-moderate carotid stenosis, men are more likely to have a high-risk carotid plaque with IPH and LRNC than women, regardless of total plaque burden. Men also have more often a plaque with multiple vulnerable plaque components, which could comprise an even higher stroke risk. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01208025.
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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., K.D., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Neurology (D.H.K.v.D.-N., P.J.K.), Erasmus University Medical Center Rotterdam, 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., K.D., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Kristine Dilba
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., K.D., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Kelly Nies
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.N., E.K.)
| | - Anja G. van der Kolk
- Department of Radiology, University Medical Center Utrecht, the Netherlands (A.G.v.d.K., J.H.)
- Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands (A.G.v.d.K.)
| | - Madieke I. Liem
- Department of Neurology, Academic Medical Center, Amsterdam, the Netherlands (M.I.L., P.J.N.)
| | - M. Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.N., E.K.)
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, the Netherlands (A.G.v.d.K., J.H.)
| | - Paul J. Nederkoorn
- Department of Neurology, Academic Medical Center, Amsterdam, the Netherlands (M.I.L., P.J.N.)
| | - Peter J. Koudstaal
- Department of Neurology (D.H.K.v.D.-N., P.J.K.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., K.D., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., K.D., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology (D.B.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
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14
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Dilba K, van Dam-Nolen DHK, Korteland SA, van der Kolk AG, Kassem M, Bos D, Koudstaal PJ, Nederkoorn PJ, Hendrikse J, Kooi ME, Gijsen FJH, van der Steen AFW, van der Lugt A, Wentzel JJ. The Association Between Time-Varying Wall Shear Stress and the Development of Plaque Ulcerations in Carotid Arteries From the Plaque at Risk Study. Front Cardiovasc Med 2021; 8:732646. [PMID: 34869634 PMCID: PMC8636734 DOI: 10.3389/fcvm.2021.732646] [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: 06/29/2021] [Accepted: 10/06/2021] [Indexed: 11/24/2022] Open
Abstract
Background and Purpose: Shear stress (WSS) is involved in the pathophysiology of atherosclerotic disease and might affect plaque ulceration. In this case-control study, we compared carotid plaques that developed a new ulcer during follow-up and plaques that remained silent for their exposure to time-dependent oscillatory shear stress parameters at baseline. Materials and Methods: Eighteen patients who underwent CTA and MRI of their carotid arteries at baseline and 2 years follow-up were included. These 18 patients consisted of six patients who demonstrated a new ulcer and 12 control patients selected from a larger cohort with similar MRI-based plaque characteristics as the ulcer group. (Oscillatory) WSS parameters [time average WSS, oscillatory shear index (OSI), and relative residence time (RRT)] were calculated using computational fluid dynamics applying the MRI-based geometry of the carotid arteries and compared among plaques (wall thickness>2 mm) with and without ulceration (Mann–Whitney U test) and ulcer-site vs. non-ulcer-site within the plaque (Wilcoxon signed rank test). More detailed analysis on ulcer cases was performed and the predictive value of oscillatory WSS parameters was calculated using linear and logistic mixed-effect regression models. Results: The ulcer group demonstrated no difference in maximum WSS [9.9 (6.6–18.5) vs. 13.6 (9.7–17.7) Pa, p = 0.349], a lower maximum OSI [0.04 (0.01–0.10) vs. 0.12 (0.06–0.20) p = 0.019] and lower maximum RRT [1.25 (0.78–2.03) Pa−1 vs. 2.93 (2.03–5.28) Pa−1, p = 0.011] compared to controls. The location of the ulcer (ulcer-site) within the plaque was not always at the maximal WSS, but demonstrated higher average WSS, lower average RRT and OSI at the ulcer-site compared to the non-ulcer-sites. High WSS (WSS>4.3 Pa) and low RRT (RRT < 0.25 Pa) were associated with ulceration with an odds ratio of 3.6 [CI 2.1–6.3] and 2.6 [CI 1.54–4.44] respectively, which remained significant after adjustment for wall thickness. Conclusion: In this explorative study, ulcers were not exclusively located at plaque regions exposed to the highest WSS, OSI, or RRT, but high WSS and low RRT regions had a significantly higher odds to present ulceration within the plaque even after adjustment for wall thickness.
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Affiliation(s)
- Kristine Dilba
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Suze-Anne Korteland
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Anja G van der Kolk
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Mohamed Kassem
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, University Medical Centers Amsterdam, Amsterdam, Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Frank J H Gijsen
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Anton F W van der Steen
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jolanda J Wentzel
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
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15
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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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16
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Dilba K, van Dam-Nolen DHK, Crombag GAJC, van der Kolk AG, Koudstaal PJ, Nederkoorn PJ, Hendrikse J, Kooi ME, van der Steen AFW, Wentzel JJ, van der Lugt A, Bos D. Dolichoarteriopathies of the extracranial internal carotid artery: The Plaque At RISK study. Eur J Neurol 2021; 28:3133-3138. [PMID: 34133824 PMCID: PMC8457194 DOI: 10.1111/ene.14982] [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: 03/18/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Dolichoarteriopathies of the extracranial part of the internal carotid artery (ICA) are associated with cerebrovascular events, yet information on their prevalence and risk factors remains limited. The aim of the present study therefore was to study the prevalence and risk factors of dolichoarteriopathies in a sample of patients with cerebrovascular symptoms from the Plaque At RISK (PARISK) study. METHODS In a random sample of 100 patients from the PARISK study, multidetector computed tomography angiography (MDCTA) was performed as part of clinical workup. On MDCTA, we evaluated the extracranial trajectory of the ICA by measuring the length (in millimeters), the tortuosity index (TI; defined as the ICA length divided by the shortest possible distance from bifurcation to skull base), and dolichoarteriopathy type (tortuosity, coiling or kinking). Next, we investigated the association between cardiovascular risk factors and these measurements using linear and logistic regression analyses. RESULTS The mean (standard deviation) length of the ICA was 93 (± 14) mm, with a median (interquartile range) TI of 1.2 (1.1-1.3). The overall prevalence of dolichoarteriopathies was 69%, with tortuosity being the most common (72%), followed by coiling (20%), and kinking (8%). We found that age and obesity were associated with a higher TI: difference per 10-year increase in age: 0.05 (95% confidence interval [CI] 0.02-0.08) and 0.16 (95% CI 0.07-0.25) for obesity. Obesity and hypercholesterolemia were associated with a more severe type of dolichoarteriopathy (odds ratio [OR] 2.07 [95% CI 1.04-4.12] and OR 2.17 [95% CI 1.02-4.63], respectively). CONCLUSION Dolichoarteriopathies in the extracranial ICA are common in patients with cerebrovascular symptoms, and age, obesity and hypercholesterolemia may play an important role in the pathophysiology of these abnormalities.
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Affiliation(s)
- Kristine Dilba
- Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Dianne H K van Dam-Nolen
- Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Geneviève A J C Crombag
- Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Peter J Koudstaal
- Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Paul J Nederkoorn
- Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jeroen Hendrikse
- Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marianne Eline Kooi
- Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Jolanda J Wentzel
- Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Daniel Bos
- Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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17
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Cardiac Magnetic Resonance in Cardio-Oncology: Advantages, Importance of Expediency, and Considerations to Navigate Pre-Authorization. JACC: CARDIOONCOLOGY 2021; 3:191-200. [PMID: 34396324 PMCID: PMC8352183 DOI: 10.1016/j.jaccao.2021.04.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/15/2021] [Accepted: 04/26/2021] [Indexed: 12/12/2022]
Abstract
Diagnosis of acute and late cardiotoxicity from cancer therapeutics has become increasingly important as the scope of cardio-oncology increases exponentially, both in terms of the number of people affected and the types of therapies it encompasses. Cardiac magnetic resonance (CMR) is a tool that can offer unparalleled diagnostic information compared with other imaging modalities, but its utilization is often delayed, at the expense of patient care, due to the need for insurance pre-authorization. This paper highlights situations in which CMR is preferred as the diagnostic modality and provides examples of diagnoses more likely to be approved by insurance companies. It also provides specific cardio-oncology diagnoses or questions to help the clinical cardio-oncologist navigate the pre-authorization process. Evolving therapies for cancer improve patient survival but can result in cardiotoxicity. CMR can help diagnose, prognosticate, and offer insight to guide the management of cardiotoxicity. Pre-authorization for CMR, used by insurance companies, often leads to consequential delays in patient care. Advocacy and education of insurance payers and providers are essential to overcome these obstacles.
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Key Words
- 2D, 2-dimensional
- ACC, American College of Cardiology
- CAD, coronary artery disease
- CMR, cardiac magnetic resonance
- CTRCD, cancer treatment–related cardiac dysfunction
- ECV, extracellular volume
- GLS, global longitudinal strain
- ICI, immune checkpoint inhibitors
- LGE, late gadolinium enhancement
- LV, left ventricular
- LVEF, left ventricular ejection fraction
- MACE, major adverse cardiovascular event
- RV, right ventricular
- cardiac magnetic resonance
- cardio-oncology
- cardiotoxicity
- chemotherapy
- left ventricular dysfunction
- pre-authorization
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18
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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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19
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Ntaios G, Wintermark M, Michel P. Supracardiac atherosclerosis in embolic stroke of undetermined source: the underestimated source. Eur Heart J 2021; 42:1789-1796. [PMID: 32300781 DOI: 10.1093/eurheartj/ehaa218] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 12/16/2019] [Accepted: 03/12/2020] [Indexed: 01/17/2023] Open
Abstract
The term 'embolic stroke of undetermined source' (ESUS) is used to describe patients with a non-lacunar ischaemic stroke without any identified embolic source from the heart or the arteries supplying the ischaemic territory, or any other apparent cause. When the ESUS concept was introduced, covert atrial fibrillation was conceived to be the main underlying cause in the majority of ESUS patients. Another important embolic source in ESUS is the atherosclerotic plaque in the carotid, vertebrobasilar, and intracranial arteries, or the aortic arch-collectively described as supracardiac atherosclerosis. There is emerging evidence showing that the role of supracardiac atherosclerosis is larger than it was initially perceived. Advanced imaging methods are available to identify plaques which high embolic risk. The role of novel antithrombotic strategies in these patients needs to be assessed in randomized controlled trials. This review presents the evidence which points towards a major aetiological association between atherosclerotic plaques and ESUS, summarizes the imaging features which may aid to identify plaques more likely to be associated with ESUS, discusses strategies to reduce the associated stroke risk, and highlights the rationale for future research in this field.
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Affiliation(s)
- George Ntaios
- Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, 41110 Larissa, Greece
| | - Max Wintermark
- Department of Radiology, Neuroradiology Section, Stanford University and Medical Center, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Patrik Michel
- Stroke Center, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital, Rue du Bugnon 46, Lausanne CH-1011, Switzerland
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20
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Advances in Multimodality Carotid Plaque Imaging: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021; 217:16-26. [PMID: 33438455 DOI: 10.2214/ajr.20.24869] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Contemporary imaging methods provide detailed visualization of carotid athero-sclerotic plaque, enabling a major evolution of in vivo carotid plaque imaging evaluation. The degree of luminal stenosis in the carotid artery bifurcation, as assessed by ultrasound, has historically served as the primary imaging feature for determining ischemic stroke risk and the potential need for surgery. However, stroke risk may be more strongly driven by the presence of specific characteristics of vulnerable plaque, as visualized on CT and MRI, than by traditional ultrasound-based assessment of luminal narrowing. This review highlights six promising imaging-based plaque characteristics that harbor unique information regarding plaque vulnerability: maximum plaque thickness and volume, calcification, ulceration, intraplaque hemorrhage, lipid-rich necrotic core, and thin or ruptured fibrous cap. Increasing evidence supports the association of these plaque characteristics with risk of ischemic stroke, although these characteristics have varying suitability for clinical implementation. Key aspects of CT and MRI protocols for carotid plaque imaging are also considered. Practical next steps and hurdles are explored for implementing routine imaging assessment of these plaque characteristics in addition to, or even as replacement for, traditional assessment of the degree of vascular stenosis on ultrasound, in the identification of individuals at high risk of ischemic stroke.
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21
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Dilba K, van Dam-Nolen DHK, van Dijk AC, Kassem M, van der Steen AFW, Koudstaal PJ, Nederkoorn PJ, Hendrikse J, Kooi ME, Wentzel JJ, van der Lugt A. Plaque Composition as a Predictor of Plaque Ulceration in Carotid Artery Atherosclerosis: The Plaque At RISK Study. AJNR Am J Neuroradiol 2021; 42:144-151. [PMID: 33214179 DOI: 10.3174/ajnr.a6868] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 08/09/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Plaque ulceration is a marker of previous plaque rupture. We studied the association between atherosclerotic plaque composition at baseline and plaque ulceration at baseline and follow-up. MATERIALS AND METHODS We included symptomatic patients with a carotid stenosis of <70% who underwent MDCTA and MR imaging at baseline (n = 180). MDCTA was repeated at 2 years (n = 73). We assessed the presence of ulceration using MDCTA. Baseline MR imaging was used to assess the vessel wall volume and the presence and volume of plaque components (intraplaque hemorrhage, lipid-rich necrotic core, and calcifications) and the fibrous cap status. Associations at baseline were evaluated with binary logistic regression and reported with an OR and its 95% CI. Simple statistical testing was performed in the follow-up analysis. RESULTS At baseline, the prevalence of plaque ulceration was 27% (49/180). Increased wall volume (OR = 12.1; 95% CI, 3.5-42.0), higher relative lipid-rich necrotic core (OR = 1.7; 95% CI, 1.3-2.2), higher relative intraplaque hemorrhage volume (OR = 1.7; 95% CI, 1.3-2.2), and a thin-or-ruptured fibrous cap (OR = 3.4; 95% CI, 1.7-6.7) were associated with the presence of ulcerations at baseline. In 8% (6/73) of the patients, a new ulcer developed. Plaques with a new ulceration at follow-up had at baseline a larger wall volume (1.04 cm3 [IQR, 0.97-1.16 cm3] versus 0.86 cm3 [IQR, 0.73-1.00 cm3]; P = .029), a larger relative lipid-rich necrotic core volume (23% [IQR, 13-31%] versus 2% [IQR, 0-14%]; P = .002), and a larger relative intraplaque hemorrhage volume (14% [IQR, 8-24%] versus 0% [IQR, 0-5%]; P < .001). CONCLUSIONS Large atherosclerotic plaques and plaques with intraplaque hemorrhage and lipid-rich necrotic cores were associated with plaque ulcerations at baseline and follow-up.
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Affiliation(s)
- K Dilba
- From the Departments of Radiology and Nuclear Medicine (K.D., D.H.K.v.D.-N., A.C.v.D., A.v.d.L.)
- Cardiology (K.D., A.F.W.v.d.S., J.J.W.)
| | - D H K van Dam-Nolen
- From the Departments of Radiology and Nuclear Medicine (K.D., D.H.K.v.D.-N., A.C.v.D., A.v.d.L.)
| | - A C van Dijk
- From the Departments of Radiology and Nuclear Medicine (K.D., D.H.K.v.D.-N., A.C.v.D., A.v.d.L.)
- Neurology (A.C.v.D., P.J.K.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M Kassem
- Department of Radiology and Nuclear Medicine (M.K., M.E.K.), CARIM School for Cardiovascular Diseases, Maastricht University Medical Center+, Maastricht, the Netherlands
| | | | - P J Koudstaal
- Neurology (A.C.v.D., P.J.K.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - P J Nederkoorn
- Department of Neurology (P.J.N.), University Medical Center Amsterdam, Amsterdam, the Netherlands
| | - J Hendrikse
- Department of Radiology (J.H.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - M E Kooi
- Department of Radiology and Nuclear Medicine (M.K., M.E.K.), CARIM School for Cardiovascular Diseases, Maastricht University Medical Center+, Maastricht, the Netherlands
| | | | - A van der Lugt
- From the Departments of Radiology and Nuclear Medicine (K.D., D.H.K.v.D.-N., A.C.v.D., A.v.d.L.)
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22
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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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23
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Dilba K, van Dijk AC, Crombag GAJC, van der Steen AFW, Daemen MJ, Koudstaal PJ, Nederkoorn PJ, Hendrikse J, Kooi ME, van der Lugt A, Wentzel JJ. Association between Intraplaque Hemorrhage and Vascular Remodeling in Carotid Arteries: The Plaque at RISK (PARISK) Study. Cerebrovasc Dis 2020; 50:94-99. [PMID: 33271533 DOI: 10.1159/000511935] [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: 03/23/2020] [Accepted: 09/11/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Vascular remodeling is a compensatory enlargement of the vessel wall in response to atherosclerotic plaque growth. We aimed to investigate the association between intraplaque hemorrhage (IPH), vascular remodeling, and luminal dimensions in recently symptomatic patients with mild to moderate carotid artery stenosis in which the differences in plaque size were taken into account. MATERIALS AND METHODS We assessed vessel dimensions on MRI of the symptomatic carotid artery in 164 patients from the Plaque At RISK study. This study included patients with recent ischemic neurological event and ipsilateral carotid artery stenosis <70%. The cross section with the largest wall area (WA) in the internal carotid artery (ICA) was selected for analysis. On this cross section, the following parameters were determined: WA, total vessel area (TVA), and lumen area (LA). Vascular remodeling was quantified as the remodeling ratio (RR) and was calculated as TVA at this position divided by the TVA in an unaffected distal portion of the ipsilateral ICA. Adjustment for WA was performed to correct for plaque size. RESULTS Plaques with IPH had a larger WA (0.56 vs. 0.46 cm2; p < 0.001), a smaller LA (0.17 vs. 0.22 cm2; p = 0.03), and a higher RR (2.0 vs. 1.9; p = 0.03) than plaques without IPH. After adjustment for WA, plaques containing IPH had a smaller LA (B = -0.052, p = 0.01) than plaques without IPH, but the RR was not different. CONCLUSION After correcting for plaque size, plaques containing IPH had a smaller LA than plaques without IPH. However, RR was not different.
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Affiliation(s)
- Kristine Dilba
- Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anouk C van Dijk
- Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Geneviève A J C Crombag
- Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Rotterdam, The Netherlands
| | | | - Mat J Daemen
- Amsterdam University Medical Center, University of Amsterdam, Pathology, Amsterdam, The Netherlands
| | - Peter J Koudstaal
- Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Paul J Nederkoorn
- Neurology, University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Jeroen Hendrikse
- Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Eline Kooi
- Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jolanda J Wentzel
- Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands,
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24
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Hop H, Potze JH, van den Berg-Faaij S, Borra RJH, Zheng KH, Nederveen AJ, Meijer K, Kamphuisen PW. Carotid plaque composition in persons with hemophilia: An explorative study with multi-contrast MRI. Thromb Res 2020; 197:138-140. [PMID: 33212381 DOI: 10.1016/j.thromres.2020.10.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/11/2020] [Accepted: 10/31/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Hilde Hop
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, the Netherlands.
| | - Jan-Hendrik Potze
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Sandra van den Berg-Faaij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, the Netherlands
| | - Ronald J H Borra
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Kang H Zheng
- Department of Vascular Medicine, Amsterdam University Medical Center, location AMC, the Netherlands
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, the Netherlands
| | - Karina Meijer
- Department of Hematology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Pieter Willem Kamphuisen
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, the Netherlands; Department of Internal Medicine, Tergooi Hospital, location Hilversum, the Netherlands
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25
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Singh N, Marko M, Ospel JM, Goyal M, Almekhlafi M. The Risk of Stroke and TIA in Nonstenotic Carotid Plaques: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 2020; 41:1453-1459. [PMID: 32646945 DOI: 10.3174/ajnr.a6613] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 04/29/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Severe carotid stenosis carries a high risk of stroke. However, the risk of stroke with nonstenotic carotid plaques (<50%) is increasingly recognized. PURPOSE We aimed to summarize the risk of TIA or stroke in patients with nonstenotic carotid plaques. DATA SOURCES We performed a comprehensive systematic review and meta-analysis in patients with acute ischemic stroke in whom carotid imaging was performed using MEDLINE and the Cochrane Database, including studies published up to December 2019. STUDY SELECTION Included studies had >10 patients with <50% carotid plaques on any imaging technique and reported the incidence or recurrence of ischemic stroke/TIA. High-risk plaque features and the risk of progression to stenosis >50% were extracted if reported. DATA SYNTHESIS We identified 31 studies reporting on the risk of ipsilateral stroke/TIA in patients with nonstenotic carotid plaques. Twenty-five studies (n = 13,428 participants) reported on first-ever stroke/TIA and 6 studies (n = 122 participants) reported on the recurrence of stroke/TIA. DATA ANALYSIS The incidence of first-ever ipsilateral stroke/TIA was 0.5/100 person-years. The risk of recurrent stroke/TIA was 2.6/100 person-years and increased to 4.9/100 person-years if intraplaque hemorrhage was present. The risk of progression to severe stenosis (>50%) was 2.9/100 person-years (8 studies, n = 448 participants). LIMITATIONS Included studies showed heterogeneity in reporting stroke etiology, the extent of stroke work-up, imaging modalities, and classification systems used for characterizing carotid stenosis. CONCLUSIONS The risk of recurrent stroke/TIA in nonstenotic carotid plaques is not negligible, especially in the presence of high-risk plaque features. Further research is needed to better define the significance of nonstenotic carotid plaques for stroke etiology.
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Affiliation(s)
- N Singh
- From the Departments of Clinical Neurosciences (N.S., M.M., J.M.O., M.G., M.A.), and Diagnostic Imaging (M.G., M.A.), Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada
| | - M Marko
- From the Departments of Clinical Neurosciences (N.S., M.M., J.M.O., M.G., M.A.), and Diagnostic Imaging (M.G., M.A.), Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada.,Department of Neurology (M.M.), Medical University of Vienna, Vienna, Austria
| | - J M Ospel
- From the Departments of Clinical Neurosciences (N.S., M.M., J.M.O., M.G., M.A.), and Diagnostic Imaging (M.G., M.A.), Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada.,Department of Radiology (J.M.O.), University Hospital of Basel, Basel, Switzerland
| | - M Goyal
- From the Departments of Clinical Neurosciences (N.S., M.M., J.M.O., M.G., M.A.), and Diagnostic Imaging (M.G., M.A.), Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada
| | - M Almekhlafi
- From the Departments of Clinical Neurosciences (N.S., M.M., J.M.O., M.G., M.A.), and Diagnostic Imaging (M.G., M.A.), Foothills Medical Center, University of Calgary, Calgary, Alberta, Canada
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26
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Wilson D, Ambler G, Lee KJ, Lim JS, Shiozawa M, Koga M, Li L, Lovelock C, Chabriat H, Hennerici M, Wong YK, Mak HKF, Prats-Sánchez L, Martínez-Domeño A, Inamura S, Yoshifuji K, Arsava EM, Horstmann S, Purrucker J, Lam BYK, Wong A, Kim YD, Song TJ, Schrooten M, Lemmens R, Eppinger S, Gattringer T, Uysal E, Tanriverdi Z, Bornstein NM, Assayag EB, Hallevi H, Tanaka J, Hara H, Coutts SB, Hert L, Polymeris A, Seiffge DJ, Lyrer P, Algra A, Kappelle J, Al-Shahi Salman R, Jäger HR, Lip GYH, Mattle HP, Panos LD, Mas JL, Legrand L, Karayiannis C, Phan T, Gunkel S, Christ N, Abrigo J, Leung T, Chu W, Chappell F, Makin S, Hayden D, Williams DJ, Kooi ME, van Dam-Nolen DHK, Barbato C, Browning S, Wiegertjes K, Tuladhar AM, Maaijwee N, Guevarra C, Yatawara C, Mendyk AM, Delmaire C, Köhler S, van Oostenbrugge R, Zhou Y, Xu C, Hilal S, Gyanwali B, Chen C, Lou M, Staals J, Bordet R, Kandiah N, de Leeuw FE, Simister R, van der Lugt A, Kelly PJ, Wardlaw JM, Soo Y, Fluri F, Srikanth V, Calvet D, Jung S, Kwa VIH, Engelter ST, Peters N, Smith EE, Yakushiji Y, Orken DN, Fazekas F, Thijs V, Heo JH, Mok V, Veltkamp R, Ay H, Imaizumi T, Gomez-Anson B, Lau KK, Jouvent E, Rothwell PM, Toyoda K, Bae HJ, Marti-Fabregas J, Werring DJ. Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies. Lancet Neurol 2019; 18:653-665. [PMID: 31130428 PMCID: PMC6562236 DOI: 10.1016/s1474-4422(19)30197-8] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 04/26/2019] [Accepted: 05/01/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Cerebral microbleeds are a neuroimaging biomarker of stroke risk. A crucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stroke or transient ischaemic attack in whom the rate of future intracranial haemorrhage is likely to exceed that of recurrent ischaemic stroke when treated with antithrombotic drugs. We therefore aimed to establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient ischaemic attack patients at higher absolute risk of intracranial haemorrhage than ischaemic stroke. METHODS We did a pooled analysis of individual patient data from cohort studies in adults with recent ischaemic stroke or transient ischaemic attack. Cohorts were eligible for inclusion if they prospectively recruited adult participants with ischaemic stroke or transient ischaemic attack; included at least 50 participants; collected data on stroke events over at least 3 months follow-up; used an appropriate MRI sequence that is sensitive to magnetic susceptibility; and documented the number and anatomical distribution of cerebral microbleeds reliably using consensus criteria and validated scales. Our prespecified primary outcomes were a composite of any symptomatic intracranial haemorrhage or ischaemic stroke, symptomatic intracranial haemorrhage, and symptomatic ischaemic stroke. We registered this study with the PROSPERO international prospective register of systematic reviews, number CRD42016036602. FINDINGS Between Jan 1, 1996, and Dec 1, 2018, we identified 344 studies. After exclusions for ineligibility or declined requests for inclusion, 20 322 patients from 38 cohorts (over 35 225 patient-years of follow-up; median 1·34 years [IQR 0·19-2·44]) were included in our analyses. The adjusted hazard ratio [aHR] comparing patients with cerebral microbleeds to those without was 1·35 (95% CI 1·20-1·50) for the composite outcome of intracranial haemorrhage and ischaemic stroke; 2·45 (1·82-3·29) for intracranial haemorrhage and 1·23 (1·08-1·40) for ischaemic stroke. The aHR increased with increasing cerebral microbleed burden for intracranial haemorrhage but this effect was less marked for ischaemic stroke (for five or more cerebral microbleeds, aHR 4·55 [95% CI 3·08-6·72] for intracranial haemorrhage vs 1·47 [1·19-1·80] for ischaemic stroke; for ten or more cerebral microbleeds, aHR 5·52 [3·36-9·05] vs 1·43 [1·07-1·91]; and for ≥20 cerebral microbleeds, aHR 8·61 [4·69-15·81] vs 1·86 [1·23-1·82]). However, irrespective of cerebral microbleed anatomical distribution or burden, the rate of ischaemic stroke exceeded that of intracranial haemorrhage (for ten or more cerebral microbleeds, 64 ischaemic strokes [95% CI 48-84] per 1000 patient-years vs 27 intracranial haemorrhages [17-41] per 1000 patient-years; and for ≥20 cerebral microbleeds, 73 ischaemic strokes [46-108] per 1000 patient-years vs 39 intracranial haemorrhages [21-67] per 1000 patient-years). INTERPRETATION In patients with recent ischaemic stroke or transient ischaemic attack, cerebral microbleeds are associated with a greater relative hazard (aHR) for subsequent intracranial haemorrhage than for ischaemic stroke, but the absolute risk of ischaemic stroke is higher than that of intracranial haemorrhage, regardless of cerebral microbleed presence, antomical distribution, or burden. FUNDING British Heart Foundation and UK Stroke Association.
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Affiliation(s)
- Duncan Wilson
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London UK; New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, UK
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University School of Medicine, Seongnam, South Korea
| | - Jae-Sung Lim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Masayuki Shiozawa
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Linxin Li
- Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Caroline Lovelock
- Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Hugues Chabriat
- Assistance Publique Hôpitaux de Paris, Lariboisière Hospital, Department of Neurology, Paris, France; Département Hospitalo-Universtaire NeuroVasc, University Paris Diderot, and INSERM U1141, Paris, France
| | - Michael Hennerici
- Department of Neurology, Universitätsmedizin Mannheim, University of Heidelberg, Mannheim, Germany
| | - Yuen Kwun Wong
- Division of Neurology, Department of Medicine, The University of Hong Kong, Hong Kong
| | - Henry Ka Fung Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong
| | - Luis Prats-Sánchez
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute, Barcelona, Spain
| | - Alejandro Martínez-Domeño
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute, Barcelona, Spain
| | - Shigeru Inamura
- Department of Neurosurgery, Kushiro City General Hospital, Kushiro, Japan
| | - Kazuhisa Yoshifuji
- Department of Neurosurgery, Kushiro City General Hospital, Kushiro, Japan
| | - Ethem Murat Arsava
- Departments of Neurology and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Solveig Horstmann
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jan Purrucker
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Bonnie Yin Ka Lam
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Adrian Wong
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Young Dae Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Tae-Jin Song
- Department of Neurology, Ewha Womans University College of Medicine, Seoul, South Korea
| | | | - Robin Lemmens
- Experimental Neurology and Leuven Institute for Neuroscience and Disease, Katholieke Universiteit Leuven, University of Leuven, Laboratory of Neurobiology, Leuven, Belgium
| | | | | | - Ender Uysal
- Department of Neurology, Demiroglu Bilim University, Istanbul, Turkey
| | - Zeynep Tanriverdi
- Department of Neurology, Demiroglu Bilim University, Istanbul, Turkey
| | - Natan M Bornstein
- Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Einor Ben Assayag
- Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Hen Hallevi
- Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Jun Tanaka
- Division of Neurology, Department of Internal Medicine, Saga University Faculty of Medicine, Nabeshima, Saga, Japan
| | - Hideo Hara
- Division of Neurology, Department of Internal Medicine, Saga University Faculty of Medicine, Nabeshima, Saga, Japan
| | - Shelagh B Coutts
- Calgary Stroke Program, Department of Clinical Neurosciences, Radiology and Community Health Sciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Lisa Hert
- Department of Neurology and Stroke Centre, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Alexandros Polymeris
- Department of Neurology and Stroke Centre, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David J Seiffge
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London UK; Department of Neurology and Stroke Centre, University Hospital Basel and University of Basel, Basel, Switzerland; Department of Diagnostic and Interventional Neuroradiology and Department of Neurology Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Philippe Lyrer
- Department of Neurology and Stroke Centre, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ale Algra
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands; Department of Neurology and Neurosurgery, Utrecht Stroke Centre, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands
| | - Jaap Kappelle
- Department of Neurology and Neurosurgery, Utrecht Stroke Centre, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands
| | - Rustam Al-Shahi Salman
- Centre for Clinical Brain Sciences, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Hans R Jäger
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK; Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Heinrich P Mattle
- Department of Diagnostic and Interventional Neuroradiology and Department of Neurology Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Leonidas D Panos
- Department of Diagnostic and Interventional Neuroradiology and Department of Neurology Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Jean-Louis Mas
- Department of Neurology, Sainte-Anne Hospital, Paris Descartes University, INSERM U1266, Paris, France
| | - Laurence Legrand
- Department of Neuroradiology, Sainte-Anne Hospital, Paris Descartes University, INSERM U1266, Paris, France
| | | | - Thanh Phan
- Stroke and Ageing Research Group, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Sarah Gunkel
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider Strasse 11, Würzburg, Germany
| | - Nicolas Christ
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider Strasse 11, Würzburg, Germany
| | - Jill Abrigo
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong
| | - Thomas Leung
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong
| | - Winnie Chu
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong
| | - Francesca Chappell
- Edinburgh Imaging, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Institute at the University of Edinburgh, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Stephen Makin
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK
| | - Derek Hayden
- The Neurovascular Research Unit and Health Research Board, Stroke Clinical Trials Network Ireland, University College Dublin, Dublin, Ireland
| | - David J Williams
- Department of Geriatric and Stroke Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital Dublin, Ireland
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, University Medical Centre, Rotterdam, Netherlands
| | - Carmen Barbato
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London UK; Comprehensive Stroke Service, University College London Hospitals NHS Trust, London, UK
| | - Simone Browning
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London UK; Comprehensive Stroke Service, University College London Hospitals NHS Trust, London, UK
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Noortje Maaijwee
- Lucerne State Hospital; Switzerland Center for Neurology and Neurorehabilitation, Luzern, Switzerland
| | - Christine Guevarra
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Chathuri Yatawara
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Anne-Marie Mendyk
- University of Lille, Inserm, CHU de Lille, Degenerative and vascular cognitive disorders U1171, Lille, France
| | - Christine Delmaire
- University of Lille, Inserm, CHU de Lille, Degenerative and vascular cognitive disorders U1171, Lille, France
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Robert van Oostenbrugge
- Department of Neurology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Ying Zhou
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Chao Xu
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Saima Hilal
- Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
| | - Bibek Gyanwali
- Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
| | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
| | - Min Lou
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Julie Staals
- Department of Neurology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Régis Bordet
- University of Lille, Inserm, CHU de Lille, Degenerative and vascular cognitive disorders U1171, Lille, France
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Robert Simister
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London UK; Comprehensive Stroke Service, University College London Hospitals NHS Trust, London, UK
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, University Medical Centre, Rotterdam, Netherlands
| | - Peter J Kelly
- The Neurovascular Research Unit and Health Research Board, Stroke Clinical Trials Network Ireland, University College Dublin, Dublin, Ireland
| | - Joanna M Wardlaw
- Edinburgh Imaging, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Institute at the University of Edinburgh, School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Yannie Soo
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong
| | - Felix Fluri
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider Strasse 11, Würzburg, Germany
| | - Velandai Srikanth
- Peninsula Clinical School, Peninsula Health, Monash University, Melbourne, VIC, Australia
| | - David Calvet
- Department of Neurology, Sainte-Anne Hospital, Paris Descartes University, INSERM U1266, Paris, France
| | - Simon Jung
- Department of Diagnostic and Interventional Neuroradiology and Department of Neurology Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Vincent I H Kwa
- Department of Neurology, Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands
| | - Stefan T Engelter
- Department of Neurology and Stroke Centre, University Hospital Basel and University of Basel, Basel, Switzerland; Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland
| | - Nils Peters
- Department of Neurology and Stroke Centre, University Hospital Basel and University of Basel, Basel, Switzerland; Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland
| | - Eric E Smith
- Calgary Stroke Program, Department of Clinical Neurosciences, Radiology and Community Health Sciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Yusuke Yakushiji
- Division of Neurology, Department of Internal Medicine, Saga University Faculty of Medicine, Nabeshima, Saga, Japan
| | | | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Vincent Thijs
- Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, Austin Health, Melbourne, VIC, Australia; Department of Neurosciences, University Hospitals Leuven, Belgium
| | - Ji Hoe Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Vincent Mok
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Roland Veltkamp
- Department of Stroke Medicine, Imperial College London, London, UK; Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Hakan Ay
- Departments of Neurology and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Toshio Imaizumi
- Department of Neurosurgery, Kushiro City General Hospital, Kushiro, Japan
| | - Beatriz Gomez-Anson
- Unit of Neuroradiology, Hospital Santa Creu i Sant Pau, Universitat Autonoma, Barcelona, Spain
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, The University of Hong Kong, Hong Kong
| | - Eric Jouvent
- Assistance Publique Hôpitaux de Paris, Lariboisière Hospital, Department of Neurology, Paris, France; Département Hospitalo-Universtaire NeuroVasc, University Paris Diderot, and INSERM U1141, Paris, France
| | - Peter M Rothwell
- Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University School of Medicine, Seongnam, South Korea
| | - Joan Marti-Fabregas
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute, Barcelona, Spain
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK.
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Buisman LR, Rijnsburger AJ, van der Lugt A, Nederkoorn PJ, Koudstaal PJ, Redekop WK. Cost-effectiveness of novel imaging tests to select patients for carotid endarterectomy. HEALTH POLICY AND TECHNOLOGY 2019. [DOI: 10.1016/j.hlpt.2019.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Crombag GAJC, van Hoof RHM, Holtackers RJ, Schreuder FHBM, Truijman MTB, Schreuder TAHCML, van Orshoven NP, Mess WH, Hofman PAM, van Oostenbrugge RJ, Wildberger JE, Kooi ME. Symptomatic Carotid Plaques Demonstrate Less Leaky Plaque Microvasculature Compared With the Contralateral Side: A Dynamic Contrast-Enhanced Magnetic Resonance Imaging Study. J Am Heart Assoc 2019; 8:e011832. [PMID: 30971168 PMCID: PMC6507193 DOI: 10.1161/jaha.118.011832] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Rupture of a vulnerable carotid atherosclerotic plaque is an important underlying cause of ischemic stroke. Increased leaky plaque microvasculature may contribute to plaque vulnerability. These immature microvessels may facilitate entrance of inflammatory cells into the plaque. The objective of the present study is to investigate whether there is a difference in plaque microvasculature (the volume transfer coefficient Ktrans) between the ipsilateral symptomatic and contralateral asymptomatic carotid plaque using noninvasive dynamic contrast‐enhanced magnetic resonance imaging. Methods and Results Eighty‐eight patients with recent transient ischemic attack or ischemic stroke and ipsilateral >2 mm carotid plaque underwent 3 T magnetic resonance imaging to identify plaque components and to determine characteristics of plaque microvasculature. The volume transfer coefficient Ktrans, indicative for microvascular density, flow, and permeability, was calculated for the ipsilateral and asymptomatic plaque, using a pharmacokinetic model (Patlak). Presence of a lipid‐rich necrotic core, intraplaque hemorrhage, and a thin and/or ruptured fibrous cap was assessed on multisequence magnetic resonance imaging. We found significantly lower Ktrans in the symptomatic carotid plaque compared with the asymptomatic side (0.057±0.002 min−1 versus 0.062±0.002 min−1; P=0.033). There was an increased number of slices with intraplaque hemorrhage (0.9±1.6 versus 0.3±0.8, P=0.002) and lipid‐rich necrotic core (1.4±1.9 versus 0.8±1.4, P=0.016) and a higher prevalence of plaques with a thin and/or ruptured fibrous cap (32% versus 17%, P=0.023) at the symptomatic side. Conclusions Ktrans was significantly lower in symptomatic carotid plaques, indicative for a decrease of plaque microvasculature in symptomatic plaques. This could be related to a larger amount of necrotic tissue in symptomatic plaques. Clinical Trial Registration URL: http://www.clinicaltrials.gov.uk. Unique identifier: NCT01208025.
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Affiliation(s)
- Geneviève A J C Crombag
- 1 Department of Radiology and Nuclear Medicine Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands
| | - Raf H M van Hoof
- 1 Department of Radiology and Nuclear Medicine Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands.,5 Control Systems Technology Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands
| | - Robert J Holtackers
- 1 Department of Radiology and Nuclear Medicine Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands
| | - Floris H B M Schreuder
- 6 Department of Neurology Donders Institute for Brain Cognition & Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Martine T B Truijman
- 2 Department of Neurology Maastricht University Medical Centre Maastricht The Netherlands
| | | | | | - Werner H Mess
- 3 Department of Clinical Neurophysiology Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands
| | - Paul A M Hofman
- 1 Department of Radiology and Nuclear Medicine Maastricht University Medical Centre Maastricht The Netherlands
| | - Robert J van Oostenbrugge
- 2 Department of Neurology Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands
| | - Joachim E Wildberger
- 1 Department of Radiology and Nuclear Medicine Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands
| | - M Eline Kooi
- 1 Department of Radiology and Nuclear Medicine Maastricht University Medical Centre Maastricht The Netherlands.,4 CARIM School for Cardiovascular Diseases Maastricht University Medical Centre Maastricht The Netherlands
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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: 270] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 01/03/2019] [Accepted: 01/04/2019] [Indexed: 01/15/2023]
Abstract
Stroke represents a massive public health problem. Carotid atherosclerosis plays a fundamental part in the occurence of ischaemic stroke. European and US guidelines for prevention of stroke in patients with carotid plaques are based on quantification of the percentage reduction in luminal diameter due to the atherosclerotic process to select the best therapeutic approach. However, better strategies for prevention of stroke are needed because some subtypes of carotid plaques (eg, vulnerable plaques) can predict the occurrence of stroke independent of the degree of stenosis. Advances in imaging techniques have enabled routine characterisation and detection of the features of carotid plaque vulnerability. Intraplaque haemorrhage is accepted by neurologists and radiologists as one of the features of vulnerable plaques, but other characteristics-eg, plaque volume, neovascularisation, and inflammation-are promising as biomarkers of carotid plaque vulnerability. These biomarkers could change current management strategies based merely on the degree of stenosis.
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Affiliation(s)
- Luca Saba
- Department of Medical Sciences, University of Cagliari, Cagliari, Italy.
| | - Tobias Saam
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany; Radiologisches Zentrum Rosenheim, Rosenheim, Germany
| | - H Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | | | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Bruce A Wasserman
- The Russell H Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Leo H Bonati
- Department of Neurology and Stroke Center, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Max Wintermark
- Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA
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Crombag GAJC, Schreuder FHBM, van Hoof RHM, Truijman MTB, Wijnen NJA, Vöö SA, Nelemans PJ, Heeneman S, Nederkoorn PJ, Daemen JWH, Daemen MJAP, Mess WH, Wildberger JE, van Oostenbrugge RJ, Kooi ME. Microvasculature and intraplaque hemorrhage in atherosclerotic carotid lesions: a cardiovascular magnetic resonance imaging study. J Cardiovasc Magn Reson 2019; 21:15. [PMID: 30832656 PMCID: PMC6398220 DOI: 10.1186/s12968-019-0524-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 02/04/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The presence of intraplaque haemorrhage (IPH) has been related to plaque rupture, is associated with plaque progression, and predicts cerebrovascular events. However, the mechanisms leading to IPH are not fully understood. The dominant view is that IPH is caused by leakage of erythrocytes from immature microvessels. The aim of the present study was to investigate whether there is an association between atherosclerotic plaque microvasculature and presence of IPH in a relatively large prospective cohort study of patients with symptomatic carotid plaque. METHODS One hundred and thirty-two symptomatic patients with ≥2 mm carotid plaque underwent cardiovascular magnetic resonance (CMR) of the symptomatic carotid plaque for detection of IPH and dynamic contrast-enhanced (DCE)-CMR for assessment of plaque microvasculature. Ktrans, an indicator of microvascular flow, density and leakiness, was estimated using pharmacokinetic modelling in the vessel wall and adventitia. Statistical analysis was performed using an independent samples T-test and binary logistic regression, correcting for clinical risk factors. RESULTS A decreased vessel wall Ktrans was found for IPH positive patients (0.051 ± 0.011 min- 1 versus 0.058 ± 0.017 min- 1, p = 0.001). No significant difference in adventitial Ktrans was found in patients with and without IPH (0.057 ± 0.012 min- 1 and 0.057 ± 0.018 min- 1, respectively). Histological analysis in a subgroup of patients that underwent carotid endarterectomy demonstrated no significant difference in relative microvessel density between plaques without IPH (n = 8) and plaques with IPH (n = 15) (0.000333 ± 0.0000707 vs. and 0.000289 ± 0.0000439, p = 0.585). CONCLUSIONS A reduced vessel wall Ktrans is found in the presence of IPH. Thus, we did not find a positive association between plaque microvasculature and IPH several weeks after a cerebrovascular event. Not only leaky plaque microvessels, but additional factors may contribute to IPH development. TRIAL REGISTRATION NCT01208025 . Registration date September 23, 2010. Retrospectively registered (first inclusion September 21, 2010). NCT01709045 , date of registration October 17, 2012. Retrospectively registered (first inclusion August 23, 2011).
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Affiliation(s)
- Geneviève A. J. C. Crombag
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Floris H. B. M. Schreuder
- Department of Neurology & Donders Institute for Brain Cognition & Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Raf H. M. van Hoof
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Martine T. B. Truijman
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Nicky J. A. Wijnen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
| | - Stefan A. Vöö
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Patty J. Nelemans
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Sylvia Heeneman
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Department of Pathology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Paul J. Nederkoorn
- Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Jan-Willem H. Daemen
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Mat J. A. P. Daemen
- Department of Pathology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Werner H. Mess
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Clinical Neurophysiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - J. E. Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Robert J. van Oostenbrugge
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M. Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
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31
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van Dijk AC, Donkel SJ, Zadi T, Sonneveld MAH, Schreuder FHBM, Chohan MF, Koudstaal PJ, Leebeek FWG, Saxena R, Hendrikse J, Kooi ME, van der Lugt A, de Maat MPM. Association between fibrinogen and fibrinogen γ' and atherosclerotic plaque morphology and composition in symptomatic carotid artery stenosis: Plaque-At-RISK study. Thromb Res 2019; 177:130-135. [PMID: 30897531 DOI: 10.1016/j.thromres.2019.02.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 01/16/2019] [Accepted: 02/23/2019] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Von Willebrand Factor (VWF), ADAMTS13, fibrinogen and fibrinogen γ' are associated with an increased risk of ischemic stroke. Carotid atherosclerosis is an important risk factor for ischemic stroke. Characteristics of the vulnerable plaque; intraplaque hemorrhage (IPH), plaque ulceration and lipid-rich necrotic core (LRNC) can be visualized with imaging techniques. Since atherosclerosis might attribute to the association between coagulation factors and ischemic stroke risk, the aim of this study is to investigate the association between coagulation factors and atherosclerotic plaque characteristics in more detail. MATERIALS AND METHODS In 182 patients of the Plaque-At-RISK study (prospective multicenter cohort study) with a recent transient ischemic attack (TIA) or ischemic stroke and a symptomatic mild-to-moderate carotid artery stenosis, we measured VWF antigen (VWF:Ag), ADAMTS13 activity, fibrinogen (Clauss), and fibrinogen γ'. Presence of plaque ulceration, IPH volume and LRNC volume were determined by Multidetector-Row Computed Tomography (MDCTA, n = 160) and Magnetic Resonance Imaging (MRI, n = 172). Linear regression analysis was used to assess the association between imaging biomarkers and coagulation factors. RESULTS VWF:Ag or ADAMTS13 levels were not significantly associated with plaque ulceration, IPH and LRNC. We found an inverse association between fibrinogen and fibrinogen γ' and IPH volume (B = -23.40 mm3/g/L, p = 0.01 and B = -161.73 mm3/g/L, p = 0.01) and between fibrinogen and fibrinogen γ' and LRNC volume (B = -38.89 mm3 g/L, p < 0.01 and B = -227.06 mm3 g/L, p = 0.01). Additional adjustments for C-reactive protein (CRP) did not change the results. CONCLUSIONS Fibrinogen and fibrinogen γ' are inversely associated with IPH volume and LRNC volume, independent of inflammation. CLINICAL TRIAL REGISTRATION clinicaltrials.govNCT01208025.
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Affiliation(s)
- A C van Dijk
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - S J Donkel
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - T Zadi
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - M A H Sonneveld
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - F H B M Schreuder
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - M F Chohan
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - P J Koudstaal
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - F W G Leebeek
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - R Saxena
- Department of Neurology, Maasstad hospital, Rotterdam, the Netherlands
| | - J Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - M E Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Department of CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands
| | - A van der Lugt
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - M P M de Maat
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
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32
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Peper ES, Strijkers GJ, Gazzola K, Potters WV, Motaal AG, Luirink IK, Hutten BA, Wiegman A, van Ooij P, van den Born BJH, Nederveen AJ, Coolen BF. Regional assessment of carotid artery pulse wave velocity using compressed sensing accelerated high temporal resolution 2D CINE phase contrast cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2018; 20:86. [PMID: 30567566 PMCID: PMC6300923 DOI: 10.1186/s12968-018-0499-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 10/23/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) allows for non-invasive assessment of arterial stiffness by means of measuring pulse wave velocity (PWV). PWV can be calculated from the time shift between two time-resolved flow curves acquired at two locations within an arterial segment. These flow curves can be derived from two-dimensional CINE phase contrast CMR (2D CINE PC CMR). While CMR-derived PWV measurements have proven to be accurate for the aorta, this is more challenging for smaller arteries such as the carotids due to the need for both high spatial and temporal resolution. In this work, we present a novel method that combines retrospectively gated 2D CINE PC CMR, high temporal binning of data and compressed sensing (CS) reconstruction to accomplish a temporal resolution of 4 ms. This enables accurate flow measurements and assessment of PWV in regional carotid artery segments. METHODS Retrospectively gated 2D CINE PC CMR data acquired in the carotid artery was binned into cardiac frames of 4 ms length, resulting in an incoherently undersampled ky-t-space with a mean undersampling factor of 5. The images were reconstructed by a non-linear CS reconstruction using total variation over time as a sparsifying transform. PWV values were calculated from flow curves by using foot-to-foot and cross-correlation methods. Our method was validated against ultrasound measurements in a flow phantom setup representing the carotid artery. Additionally, PWV values of two groups of 23 young (30 ± 3 years, 12 [52%] women) and 10 elderly (62 ± 10 years, 5 [50%] women) healthy subjects were compared using the Wilcoxon rank-sum test. RESULTS Our proposed method produced very similar flow curves as those measured using ultrasound at 1 ms temporal resolution. Reliable PWV estimation proved possible for transit times down to 7.5 ms. Furthermore, significant differences in PWV values between healthy young and elderly subjects were found (4.7 ± 1.0 m/s and 7.9 ± 2.4 m/s, respectively; p < 0.001) in accordance with literature. CONCLUSIONS Retrospectively gated 2D CINE PC CMR with CS allows for high spatiotemporal resolution flow measurements and accurate regional carotid artery PWV calculations. We foresee this technique will be valuable in protocols investigating early development of carotid atherosclerosis.
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Affiliation(s)
- Eva S Peper
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Katja Gazzola
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Wouter V Potters
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | | | - Ilse K Luirink
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Pediatrics Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Barbara A Hutten
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Albert Wiegman
- Department of Pediatrics Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Bert-Jan H van den Born
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Bram F Coolen
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
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33
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Steinbuch J, Schreuder FHBM, Reesink KD, Hoeks APG, Mess WH. Orthogonal B-Mode Evaluation of Common Carotid Artery Plaques Reveals the Absence of Outward Remodeling. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:986-994. [PMID: 29477746 DOI: 10.1016/j.ultrasmedbio.2017.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 11/28/2017] [Accepted: 12/13/2017] [Indexed: 06/08/2023]
Abstract
To properly assess morphologic and dynamic parameters of arteries and plaques, we propose the concept of orthogonal distance measurements, that is, measurements made perpendicular to the local lumen axis rather than along the ultrasound beam (vertical direction for a linear array). The aim of this study was to compare orthogonal and vertical artery and lumen diameters at the site of a plaque in the common carotid artery (CCA). Moreover, we investigated the interrelationship of orthogonal diameters and plaque size and the association of artery parameters with plaque echogenicity. In 29 patients, we acquired a longitudinal B-mode ultrasound recording of plaques at the posterior CCA wall. After semi-automatic segmentation of end-diastolic frames, diameters were extracted orthogonally along the lumen axis. To establish inter-observer variability of diameters obtained at the location of maximal plaque thickness, a second observer repeated the analysis (subset N = 21). Orthogonal adventitia-adventitia and lumen diameters could be determined with good precision (coefficient of variation: 1%-5%. However, the precision of the change in lumen diameter from diastole to systole (distension) at the site of the plaque was poor (21%-50%). The orthogonal lumen diameter was significantly smaller than the vertical lumen diameter (p <0.001). Surprisingly, the plaques did not cause outward remodeling, that is, a local increase in adventitia-adventitia distance at the site of the plaque. The intra- and inter-observer precision of diastolic-systolic plaque compression was poor and of the same order as the standard deviation of plaque compression. The orthogonal relative lumen distension was significantly lower for echogenic plaques, indicating a higher stiffness, than for echolucent plaques (p <0.01). In conclusion, we illustrated the feasibility of extracting orthogonal CCA and plaque dimensions, albeit that the proposed approach is inadequate to quantify plaque compression.
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Affiliation(s)
- J Steinbuch
- Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - F H B M Schreuder
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands; Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands; Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - K D Reesink
- Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - A P G Hoeks
- Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - W H Mess
- Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands.
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34
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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: 183] [Impact Index Per Article: 30.5] [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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35
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van Hoof RHM, Schreuder FHBM, Nelemans P, Truijman MTB, van Orshoven NP, Schreuder TH, Mess WH, Heeneman S, van Oostenbrugge RJ, Wildberger JE, Kooi ME. Ischemic Stroke Patients Demonstrate Increased Carotid Plaque Microvasculature Compared to (Ocular) Transient Ischemic Attack Patients. Cerebrovasc Dis 2017; 44:297-303. [PMID: 28946147 DOI: 10.1159/000481146] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Accepted: 08/24/2017] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Patients with a recent ischemic stroke have a higher risk of recurrent stroke compared to (ocular) transient ischemic attack (TIA) patients. Plaque microvasculature is considered as a feature of plaque vulnerability and can be quantified with carotid dynamic contrast-enhanced MRI (DCE-MRI). The purpose of this cross-sectional study was to explore the association between plaque microvasculature and the type of recent cerebrovascular events in symptomatic patients with mild-to-moderate carotid stenosis. METHODS A total of 87 symptomatic patients with a recent stroke (n = 35) or (ocular) TIA (n = 52) underwent carotid DCE-MRI examination. Plaque microvasculature was studied in the vessel wall and adventitia using DCE-MRI and the pharmacokinetic modeling parameter Ktrans. Statistical analysis was performed with logistic regression, correcting for associated clinical risk factors. RESULTS The 75th percentile adventitial (OR 1.97, 95% CI 1.18-3.29) Ktrans was significantly associated with a recent ischemic stroke compared to (ocular) TIA in multivariate analysis, while clinical risk factors were not significantly associated with the type of event. CONCLUSIONS This study indicates a positive association of leaky plaque microvasculature with a recent ischemic stroke compared to (ocular) TIA. Prospective longitudinal studies are needed to investigate whether Ktrans or other plaque characteristics may serve as an imaging marker for predicting (the type of) future cerebrovascular events.
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Affiliation(s)
- Raf H M van Hoof
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
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Coolen BF, Calcagno C, van Ooij P, Fayad ZA, Strijkers GJ, Nederveen AJ. Vessel wall characterization using quantitative MRI: what's in a number? MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 31:201-222. [PMID: 28808823 PMCID: PMC5813061 DOI: 10.1007/s10334-017-0644-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 07/04/2017] [Accepted: 07/18/2017] [Indexed: 12/15/2022]
Abstract
The past decade has witnessed the rapid development of new MRI technology for vessel wall imaging. Today, with advances in MRI hardware and pulse sequences, quantitative MRI of the vessel wall represents a real alternative to conventional qualitative imaging, which is hindered by significant intra- and inter-observer variability. Quantitative MRI can measure several important morphological and functional characteristics of the vessel wall. This review provides a detailed introduction to novel quantitative MRI methods for measuring vessel wall dimensions, plaque composition and permeability, endothelial shear stress and wall stiffness. Together, these methods show the versatility of non-invasive quantitative MRI for probing vascular disease at several stages. These quantitative MRI biomarkers can play an important role in the context of both treatment response monitoring and risk prediction. Given the rapid developments in scan acceleration techniques and novel image reconstruction, we foresee the possibility of integrating the acquisition of multiple quantitative vessel wall parameters within a single scan session.
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Affiliation(s)
- Bram F Coolen
- Department of Biomedical Engineering and Physics, Academic Medical Center, PO BOX 22660, 1100 DD, Amsterdam, The Netherlands. .,Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pim van Ooij
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, Academic Medical Center, PO BOX 22660, 1100 DD, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
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37
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Reynoso E, Rodriguez-Granillo GA, Capunay C, Deviggiano A, Meli F, Carrascosa P. Spectral Signal Density of Carotid Plaque Using Dual-Energy Computed Tomography. J Neuroimaging 2017; 27:511-516. [DOI: 10.1111/jon.12440] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 03/07/2017] [Indexed: 11/30/2022] Open
Affiliation(s)
- Exequiel Reynoso
- Department of Neuroradiology; Diagnóstico Maipú; Buenos Aires Argentina
| | | | - Carlos Capunay
- Department of Cardiovascular Imaging; Diagnóstico Maipú; Buenos Aires Argentina
| | | | - Francisco Meli
- Department of Neuroradiology; Diagnóstico Maipú; Buenos Aires Argentina
| | - Patricia Carrascosa
- Department of Cardiovascular Imaging; Diagnóstico Maipú; Buenos Aires Argentina
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38
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Steinbuch J, van Dijk AC, Schreuder F, Truijman M, Hendrikse J, Nederkoorn PJ, van der Lugt A, Hermeling E, Hoeks A, Mess WH. Definition of common carotid wall thickness affects risk classification in relation to degree of internal carotid artery stenosis: the Plaque At RISK (PARISK) study. Cardiovasc Ultrasound 2017; 15:9. [PMID: 28376791 PMCID: PMC5379498 DOI: 10.1186/s12947-017-0097-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Accepted: 02/23/2017] [Indexed: 01/27/2023] Open
Abstract
Background Mean or maximal intima-media thickness (IMT) is commonly used as surrogate endpoint in intervention studies. However, the effect of normalization by surrounding or median IMT or by diameter is unknown. In addition, it is unclear whether IMT inhomogeneity is a useful predictor beyond common wall parameters like maximal wall thickness, either absolute or normalized to IMT or lumen size. We investigated the interrelationship of common carotid artery (CCA) thickness parameters and their association with the ipsilateral internal carotid artery (ICA) stenosis degree. Methods CCA thickness parameters were extracted by edge detection applied to ultrasound B-mode recordings of 240 patients. Degree of ICA stenosis was determined from CT angiography. Results Normalization of maximal CCA wall thickness to median IMT leads to large variations. Higher CCA thickness parameter values are associated with a higher degree of ipsilateral ICA stenosis (p < 0.001), though IMT inhomogeneity does not provide extra information. When the ratio of wall thickness and diameter instead of absolute maximal wall thickness is used as risk marker for having moderate ipsilateral ICA stenosis (>50%), 55 arteries (15%) are reclassified to another risk category. Conclusions It is more reasonable to normalize maximal wall thickness to end-diastolic diameter rather than to IMT, affecting risk classification and suggesting modification of the Mannheim criteria. Trial registration Clinical trials.gov NCT01208025.
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Affiliation(s)
- J Steinbuch
- Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - A C van Dijk
- Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fhbm Schreuder
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands.,Clinical Neurophysiology, Maastricht University Medical Center, PO Box 5800, 6202, Maastricht, AZ, The Netherlands.,Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Mtb Truijman
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands.,Clinical Neurophysiology, Maastricht University Medical Center, PO Box 5800, 6202, Maastricht, AZ, The Netherlands.,Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - J Hendrikse
- Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - P J Nederkoorn
- Neurology, Academic Medical Center, Amsterdam, The Netherlands
| | - A van der Lugt
- Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - E Hermeling
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Apg Hoeks
- Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - W H Mess
- Clinical Neurophysiology, Maastricht University Medical Center, PO Box 5800, 6202, Maastricht, AZ, The Netherlands.
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39
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Mujaj B, Lorza AMA, van Engelen A, de Bruijne M, Franco OH, van der Lugt A, Vernooij MW, Bos D. Comparison of CT and CMR for detection and quantification of carotid artery calcification: the Rotterdam Study. J Cardiovasc Magn Reson 2017; 19:28. [PMID: 28260526 PMCID: PMC5338077 DOI: 10.1186/s12968-017-0340-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Accepted: 02/10/2017] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Carotid artery atherosclerosis is an important risk factor for stroke. As such, quantitative imaging of carotid artery calcification, as a proxy of atherosclerosis, has become a cornerstone of current stroke research. Yet, population-based data comparing the computed tomography (CT) and cardiovascular magnetic resonance (CMR) for the detection and quantification of calcification remain scarce. METHODS A total of 684 participants from the population-based Rotterdam Study underwent both a CT and CMR of the carotid artery bifurcation to quantify the amount of carotid artery calcification (mean interscan interval: 4.9 ± 1.2 years). We investigated the correlation between the amount of calcification measured on CT and CMR using Spearman's correlation coefficient, Bland-Altman plots, and linear regression. In addition, using logistic regression modeling, we assessed the association of CT and CMR based calcification volumes with a history of stroke. RESULTS We found a strong correlation between CT and CMR based calcification volumes (Spearman's correlation coefficient:0.86, p-value ≤0.01). Bland-Altman analyses showed a good agreement, though CT based calcification volumes were systematically larger. Finally, calcification volume assessed with either imaging modality was associated with a history of stroke with similar effect estimates (odds ratio (OR) per 1-SD increase in calcification volume: 1.52 (95% CI:1.00;2.30) for CT, and 1.47 (95% CI:1.01;2.14) for CMR. CONCLUSION CT based and CMR based volumes of carotid artery calcification are highly correlated, but CMR based calcification is systematically smaller than those obtained with CT. Despite this difference, both provide comparable information with regard to a history of stroke.
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Affiliation(s)
- Blerim Mujaj
- Department of Epidemiology, Erasmus MC, University Medical Center, Office Na 2824k, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Andrés M. Arias Lorza
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics, Radiology, and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Arna van Engelen
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics, Radiology, and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics, Radiology, and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Oscar H. Franco
- Department of Epidemiology, Erasmus MC, University Medical Center, Office Na 2824k, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus MC, University Medical Center, Office Na 2824k, PO Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center, Office Na 2824k, PO Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Epidemiology, Harvard TH Chan School of Public Health, Boston, USA
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40
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Hjelmgren O, Schmidt C, Johansson L, Bergström GML. Comparison between magnetic resonance imaging and B-mode ultrasound in detecting and estimating the extent of human carotid atherosclerosis. Clin Physiol Funct Imaging 2017; 38:296-303. [PMID: 28251780 DOI: 10.1111/cpf.12415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 12/07/2016] [Indexed: 01/23/2023]
Abstract
BACKGROUND In MRI studies of carotid plaques, ultrasound is used to find plaques, which are later imaged using MRI. The performance in plaque detection has not been compared between the modalities. The aim of the current study was to compare the performance of MRI and ultrasound in detecting carotid artery plaques and measuring extent of atherosclerosis. METHODS Subjects with at least one plaque (height≥2·5 mm) on ultrasound were imaged using MRI. The number of plaques and their height was measured in both modalities; plaque area and volume were analysed on ultrasound and MRI, respectively. RESULTS Thirty-eight subjects were included. MRI detected plaques in 95% of carotid arteries with a plaque height of ≥2·5 mm on ultrasound and in all carotid arteries with a plaque exceeding 2·5 mm. MRI detected 53% of the plaques with a height below 2·5 mm. The plaque height measured with both techniques correlated significantly, 0·59, P<0·0001. Ultrasound-derived plaque height and plaque area correlated similarly to MRI-derived plaque volume, r = 0·52; P<0·0001 and r = 0·47; P = 0·001, respectively. CONCLUSIONS We conclude that MRI has a similar sensitivity to ultrasound in finding carotid artery plaques that are 2·5 mm or higher. In smaller plaques, MRI detects fewer plaques. Multiple carotid plaques seen on ultrasound most often are a misinterpretation of the anatomy and correspond to a single plaque. Plaque height on ultrasound is comparable to plaque height on MRI and correlates fairly well with plaque volume on MRI making it an interesting proxy for plaque burden.
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Affiliation(s)
- Ola Hjelmgren
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Caroline Schmidt
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Lars Johansson
- Department of Radiology, Uppsala University, Uppsala, Sweden
| | - Göran M L Bergström
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
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41
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van Hoof RHM, Vöö SA, Sluimer JC, Wijnen NJA, Hermeling E, Schreuder FHBM, Truijman MTB, Cleutjens JPM, Daemen MJAP, Daemen JWH, van Oostenbrugge RJ, Mess WH, Wildberger JE, Heeneman S, Kooi ME. Vessel wall and adventitial DCE-MRI parameters demonstrate similar correlations with carotid plaque microvasculature on histology. J Magn Reson Imaging 2017; 46:1053-1059. [PMID: 28152245 DOI: 10.1002/jmri.25648] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 01/11/2017] [Accepted: 01/11/2017] [Indexed: 12/31/2022] Open
Abstract
PURPOSE To assess parameter agreement of volume transfer coefficient (Ktrans ) between two vascular regions and to study the correlation with microvessel density on histology. The dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameter Ktrans is frequently used to study atherosclerotic plaque microvasculature. Ktrans has been reported using different descriptive statistics (mean, median, 75th percentile) either for the whole vessel wall or the adventitia in previous studies. MATERIALS AND METHODS DCE-MRI parameter agreement was analyzed in 110 symptomatic patients with ≥2 mm carotid plaque that underwent a 3T carotid DCE-MRI examination. Ktrans was estimated in the entire vessel wall and adventitia. Twenty-three patients underwent carotid endarterectomy and were used for comparison with histological quantification of microvessel density of the plaque using CD31 immunohistochemistry. DCE-MRI parameters in the vessel wall regions were compared using Pearson's correlation coefficient, Bland-Altman analysis, and a two-sided paired samples t-test. Correlation of the DCE-MRI parameters with histology was studied using the Pearson's correlation coefficient. RESULTS Median adventitial Ktrans was 5% higher (P = 0.003) than entire vessel wall Ktrans , with no differences for other descriptive statistics. Vessel wall and adventitial Ktrans showed similar moderately strong correlations with plaque microvessel density on histology (Pearson's ρ: 0.59-0.65 [P < 0.003] and 0.52-0.64 [P < 0.011], respectively). CONCLUSION The similar moderately strong correlations for vessel wall and adventitial Ktrans with microvessel density on histology suggested that both regions reflected plaque microvessel density. Care should to be taken when comparing absolute values between studies. Future studies incorporating thresholds for risk stratification need to agree upon standardization of DCE-MRI parameters. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1053-1059.
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Affiliation(s)
- Raf H M van Hoof
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Stefan A Vöö
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Judith C Sluimer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Nicky J A Wijnen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Evelien Hermeling
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Floris H B M Schreuder
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martine T B Truijman
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jack P M Cleutjens
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Mat J A P Daemen
- Department of Pathology, Academic Medical Center, Amsterdam, The Netherlands
| | - Jan-Willem H Daemen
- Department of General Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Robert J van Oostenbrugge
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Werner H Mess
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Sylvia Heeneman
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.,Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
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42
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Liem MI, Kennedy F, Bonati LH, van der Lugt A, Coolen BF, Nederveen AJ, Jager HR, Brown MM, Nederkoorn PJ. Investigations of Carotid Stenosis to Identify Vulnerable Atherosclerotic Plaque and Determine Individual Stroke Risk. Circ J 2017; 81:1246-1253. [DOI: 10.1253/circj.cj-16-1284] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
| | - Fiona Kennedy
- UCL Stroke Research Centre, Institute of Neurology, University College London
| | | | | | | | | | - Hans R. Jager
- UCL Stroke Research Centre, Institute of Neurology, University College London
| | - Martin M. Brown
- UCL Stroke Research Centre, Institute of Neurology, University College London
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43
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Zahnd G, Kapellas K, van Hattem M, van Dijk A, Sérusclat A, Moulin P, van der Lugt A, Skilton M, Orkisz M. A Fully-Automatic Method to Segment the Carotid Artery Layers in Ultrasound Imaging: Application to Quantify the Compression-Decompression Pattern of the Intima-Media Complex During the Cardiac Cycle. ULTRASOUND IN MEDICINE & BIOLOGY 2017; 43:239-257. [PMID: 27742139 DOI: 10.1016/j.ultrasmedbio.2016.08.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 08/05/2016] [Accepted: 08/12/2016] [Indexed: 06/06/2023]
Abstract
The aim of this study was to introduce and evaluate a contour segmentation method to extract the interfaces of the intima-media complex in carotid B-mode ultrasound images. The method was applied to assess the temporal variation of intima-media thickness during the cardiac cycle. The main methodological contribution of the proposed approach is the introduction of an augmented dimension to process 2-D images in a 3-D space. The third dimension, which is added to the two spatial dimensions of the image, corresponds to the tentative local thickness of the intima-media complex. The method is based on a dynamic programming scheme that runs in a 3-D space generated with a shape-adapted filter bank. The optimal solution corresponds to a single medial axis representation that fully describes the two anatomical interfaces of the arterial wall. The method is fully automatic and does not require any input from the user. The method was trained on 60 subjects and validated on 184 other subjects from six different cohorts and four different medical centers. The arterial wall was successfully segmented in all analyzed images (average pixel size = 57 ± 20 mm), with average segmentation errors of 47 ± 70 mm for the lumen-intima interface, 55 ± 68 mm for the media-adventitia interface and 66 ± 90 mm for the intima-media thickness. The amplitude of the temporal variations in IMT during the cardiac cycle was significantly higher in the diseased population than in healthy volunteers (106 ± 48 vs. 86 ± 34 mm, p = 0.001). The introduced framework is a promising approach to investigate an emerging functional parameter of the arterial wall by assessing the cyclic compression-decompression pattern of the tissues.
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Affiliation(s)
- Guillaume Zahnd
- Biomedical Imaging Group Rotterdam, Departments of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Kostas Kapellas
- Australian Research Centre for Population Oral Health, School of Dentistry, University of Adelaide, Adelaide, Australia
| | - Martijn van Hattem
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anouk van Dijk
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - André Sérusclat
- Department of Radiology, Louis Pradel Hospital, Hospices Civils de Lyon, Université Lyon 1, Lyon, France
| | - Philippe Moulin
- Department of Endocrinology, Louis Pradel Hospital, Hospices Civils de Lyon, Université Lyon 1, Lyon, France
| | - Aad van der Lugt
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Michael Skilton
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
| | - Maciej Orkisz
- Univ Lyon, INSA-Lyon, Université Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, Lyon, France
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44
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Carvalho DDB, Arias Lorza AM, Niessen WJ, de Bruijne M, Klein S. Automated Registration of Freehand B-Mode Ultrasound and Magnetic Resonance Imaging of the Carotid Arteries Based on Geometric Features. ULTRASOUND IN MEDICINE & BIOLOGY 2017; 43:273-285. [PMID: 27743726 DOI: 10.1016/j.ultrasmedbio.2016.08.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 07/30/2016] [Accepted: 08/29/2016] [Indexed: 06/06/2023]
Abstract
An automated method for registering B-mode ultrasound (US) and magnetic resonance imaging (MRI) of the carotid arteries is proposed. The registration uses geometric features, namely, lumen centerlines and lumen segmentations, which are extracted fully automatically from the images after manual annotation of three seed points in US and MRI. The registration procedure starts with alignment of the lumen centerlines using a point-based registration algorithm. The resulting rigid transformation is used to initialize a rigid and subsequent non-rigid registration procedure that jointly aligns centerlines and segmentations by minimizing a weighted sum of the Euclidean distance between centerlines and the dissimilarity between segmentations. The method was evaluated in 28 carotid arteries from eight patients and six healthy volunteers. First, the automated US lumen segmentation method was validated and optimized in a cross-validation experiment. Next, the effect of the weighting parameter of the proposed registration dissimilarity metric and the control point spacing in the non-rigid registration was evaluated. Finally, the proposed registration method was evaluated in comparison to an existing intensity-and-point-based method, a registration using only the centerlines and a registration using manual US lumen segmentations. Registration accuracy was measured in terms of the mean surface distance between manual US segmentations and the registered MRI segmentations. The average mean surface distance was 0.78 ± 0.34 mm for all subjects, 0.65 ± 0.09 mm for healthy volunteers and 0.87 ± 0.42 mm for patients. The results for the complete set were significantly better (Wilcoxon test, p < 0.01) than the results for the intensity-and-point-based method and the centerline-based registration method. We conclude that the proposed method can robustly and accurately register US and MR images of the carotid artery, allowing multimodal analysis of the carotid plaque to improve plaque assessment.
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Affiliation(s)
- Diego D B Carvalho
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Andres Mauricio Arias Lorza
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, The Netherlands.
| | - Wiro J Niessen
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, The Netherlands; Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, The Netherlands; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, The Netherlands
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45
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Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans. PLoS One 2016; 11:e0164267. [PMID: 27930665 PMCID: PMC5145140 DOI: 10.1371/journal.pone.0164267] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 09/22/2016] [Indexed: 01/29/2023] Open
Abstract
PURPOSE To study the interscan reproducibility of manual versus automated segmentation of carotid artery plaque components, and the agreement between both methods, in high and lower quality MRI scans. METHODS 24 patients with 30-70% carotid artery stenosis were planned for 3T carotid MRI, followed by a rescan within 1 month. A multicontrast protocol (T1w,T2w, PDw and TOF sequences) was used. After co-registration and delineation of the lumen and outer wall, segmentation of plaque components (lipid-rich necrotic cores (LRNC) and calcifications) was performed both manually and automated. Scan quality was assessed using a visual quality scale. RESULTS Agreement for the detection of LRNC (Cohen's kappa (k) is 0.04) and calcification (k = 0.41) between both manual and automated segmentation methods was poor. In the high-quality scans (visual quality score ≥ 3), the agreement between manual and automated segmentation increased to k = 0.55 and k = 0.58 for, respectively, the detection of LRNC and calcification larger than 1 mm2. Both manual and automated analysis showed good interscan reproducibility for the quantification of LRNC (intraclass correlation coefficient (ICC) of 0.94 and 0.80 respectively) and calcified plaque area (ICC of 0.95 and 0.77, respectively). CONCLUSION Agreement between manual and automated segmentation of LRNC and calcifications was poor, despite a good interscan reproducibility of both methods. The agreement between both methods increased to moderate in high quality scans. These findings indicate that image quality is a critical determinant of the performance of both manual and automated segmentation of carotid artery plaque components.
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46
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Imam YZ, D'Souza A, Malik RA, Shuaib A. Secondary Stroke Prevention: Improving Diagnosis and Management with Newer Technologies. Transl Stroke Res 2016; 7:458-477. [PMID: 27586681 DOI: 10.1007/s12975-016-0494-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2016] [Revised: 08/08/2016] [Accepted: 08/15/2016] [Indexed: 12/22/2022]
Abstract
Treatment of hypertension, diabetes, high cholesterol, smoking cessation, and healthy lifestyle have all contributed to the decline in the incidence of vascular disease over the last several decades. Patients who suffer an acute stroke are at a high risk for recurrence. Introduction of newer technologies and their wider use allows for better identification of patients in whom the risk of recurrence following an acute stroke may be very high. Traditionally, the major focus for diagnosis and management has focused on patient history, examination, imaging for carotid stenosis/occlusion, and detection of AF and paroxysmal AF (PAF) with 24-48 h cardiac monitoring. This review focuses on the usefulness of three newer investigative tools that are becoming widely available and lead to better prevention. Continuous ambulatory blood pressure measurements for 24 h or longer and 3D Doppler measures of the carotid arteries provide key useful information on the state of vascular health and enhance our ability to monitor the response to preventive therapies. Furthermore, the detection of PAF can be significantly improved with prolonged cardiac monitoring for 3 weeks or longer, enabling the initiation of appropriate prevention therapy. This review will focus on the potential impact and importance of these emerging technologies on the prevention of recurrent stroke in high-risk patients.
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Affiliation(s)
- Yahia Z Imam
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar.,Weill Cornell Medicine in Qatar, Doha, Qatar
| | | | - Rayaz A Malik
- University of Manchester, Manchester, UK.,Weill Cornell Medicine in Qatar, Doha, Qatar
| | - Ashfaq Shuaib
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar. .,Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada.
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47
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van Hoof RHM, Hermeling E, Truijman MTB, van Oostenbrugge RJ, Daemen JWH, van der Geest RJ, van Orshoven NP, Schreuder AH, Backes WH, Daemen MJAP, Wildberger JE, Kooi ME. Phase-based vascular input function: Improved quantitative DCE-MRI of atherosclerotic plaques. Med Phys 2016; 42:4619-28. [PMID: 26233189 DOI: 10.1118/1.4924949] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Quantitative pharmacokinetic modeling of dynamic contrast-enhanced (DCE)-MRI can be used to assess atherosclerotic plaque microvasculature, which is an important marker of plaque vulnerability. Purpose of the present study was (1) to compare magnitude- versus phase-based vascular input functions (m-VIF vs ph-VIF) used in pharmacokinetic modeling and (2) to perform model calculations and flow phantom experiments to gain more insight into the differences between m-VIF and ph-VIF. METHODS Population averaged m-VIF and ph-VIFs were acquired from 11 patients with carotid plaques and used for pharmacokinetic analysis in another 17 patients. Simulations, using the Bloch equations and the MRI scan geometry, and flow phantom experiments were performed to determine the effect of local blood velocity on the magnitude and phase signal enhancement. RESULTS Simulations and flow phantom experiments revealed that flow within the lumen can lead to severe underestimation of m-VIF, while this is not the case for the ph-VIF. In line, the peak concentration of the m-VIF is significantly lower than ph-VIF (p < 0.001), in vivo. Quantitative model parameters for m- and ph-VIF differed in absolute values but were moderate to strongly correlated with each other [K(trans) Spearman's ρ > 0.93 (p < 0.001) and vp Spearman's ρ > 0.58 (p < 0.05)]. CONCLUSIONS m-VIF is strongly influenced by local blood velocity, which leads to underestimation of the contrast medium concentration. Therefore, it is advised to use ph-VIF for DCE-MRI analysis of carotid plaques for accurate quantification.
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Affiliation(s)
- R H M van Hoof
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - E Hermeling
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - M T B Truijman
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands; and Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands
| | - R J van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - J W H Daemen
- Department of Surgery, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands
| | - R J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands
| | - N P van Orshoven
- Department of Neurology, Orbis Medical Center, Sittard 6130 MB, The Netherlands
| | - A H Schreuder
- Department of Neurology, Atrium Medical Center, Heerlen 6401 CX, The Netherlands
| | - W H Backes
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands
| | - M J A P Daemen
- Department of Pathology, Academic Medical Center, Amsterdam 1100 DD, The Netherlands
| | - J E Wildberger
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - M E Kooi
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
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48
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Xu C, Yuan C, Stutzman E, Canton G, Comess KA, Beach KW. Quest for the Vulnerable Atheroma: Carotid Stenosis and Diametric Strain--A Feasibility Study. ULTRASOUND IN MEDICINE & BIOLOGY 2016; 42:699-716. [PMID: 26705891 PMCID: PMC4744121 DOI: 10.1016/j.ultrasmedbio.2015.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 10/05/2015] [Accepted: 11/02/2015] [Indexed: 06/05/2023]
Abstract
The Bernoulli effect may result in eruption of a vulnerable carotid atheroma, causing a stroke. We measured electrocardiography (ECG)-registered QRS intra-stenotic blood velocity and atheroma strain dynamics in carotid artery walls using ultrasonic tissue Doppler methods, providing displacement and time resolutions of 0.1 μm and 3.7 ms. Of 22 arteries, 1 had a peak systolic velocity (PSV) >280 cm/s, 4 had PSVs between 165 and 280 cm/s and 17 had PSVs <165 cm/s. Eight arteries with PSVs <65 cm/s and 4 of 9 with PSVs between 65 and 165 cm/s had normal systolic diametric expansion (0% and 7%) and corresponding systolic wall thinning. The remaining 10 arteries had abnormal systolic strain dynamics, 2 with diametric reduction (>-0.05 mm), 2 with extreme wall expansion (>0.1 mm), 2 with extreme wall thinning (>-0.1 mm) and 4 with combinations. Decreases in systolic diameter and/or extreme systolic arterial wall thickening may indicate imminent atheroma rupture.
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Affiliation(s)
- Canxing Xu
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Chun Yuan
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; Department of Radiology, Vascular Imaging Laboratory, University of Washington, Seattle, Washington, USA
| | - Edward Stutzman
- D. E. Strandness, Jr. Vascular Laboratory, University of Washington Medical Center, Seattle, Washington, USA
| | - Gador Canton
- Department of Radiology, Vascular Imaging Laboratory, University of Washington, Seattle, Washington, USA
| | | | - Kirk W Beach
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; Department of Radiology, Vascular Imaging Laboratory, University of Washington, Seattle, Washington, USA; Department of Surgery, University of Washington, Seattle, Washington, USA.
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Steinbuch J, Hoeks APG, Hermeling E, Truijman MTB, Schreuder FHBM, Mess WH. Standard B-Mode Ultrasound Measures Local Carotid Artery Characteristics as Reliably as Radiofrequency Phase Tracking in Symptomatic Carotid Artery Patients. ULTRASOUND IN MEDICINE & BIOLOGY 2016; 42:586-595. [PMID: 26525651 DOI: 10.1016/j.ultrasmedbio.2015.07.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 07/13/2015] [Accepted: 07/27/2015] [Indexed: 06/05/2023]
Abstract
Local arterial stiffness can be assessed with high accuracy and precision by measuring arterial distension on the basis of phase tracking of radiofrequency ultrasound signals acquired at a high frame rate. However, in clinical practice, B-mode ultrasound registrations are made at a low frame rate (20-50 Hz). We compared the accuracy and intra-subject precision of edge tracking and phase tracking distension in symptomatic carotid artery patients. B-mode ultrasound recordings (40 mm, 37 fps) and radiofrequency recordings (31 lines covering 29 mm, 300 fps) were acquired from the left common carotid artery of 30 patients (aged 45-88 y) with recent cerebrovascular events. To extract the distension, semi-automatic echo edge and phase tracking algorithms were applied to B-mode and radiofrequency recordings, respectively. Both methods exhibited a similar intra-subject precision for distension (standard deviation = 44 μm and 47 μm, p = 0.66) and mean distension (difference: -6 ± 69 μm, p = 0.67). Intra-subject distension inhomogeneity tends to be larger for edge tracking (difference: 15 ± 35 μm, p = 0.04). Standard B-mode scanners are suitable for measuring local artery characteristics in symptomatic carotid artery patients with good precision and accuracy.
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Affiliation(s)
- Jeire Steinbuch
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Arnold P G Hoeks
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Evelien Hermeling
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Martine T B Truijman
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Floris H B M Schreuder
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Werner H Mess
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands.
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