Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study
Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease (CVD) risk factors and could predict CVD events. Methods and Results Using a case‐cohort design, we measured common carotid artery ultrasound image...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-02-01
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| Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| Subjects: | |
| Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.118.010875 |
| _version_ | 1811275157081161728 |
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| author | Carol C. Mitchell Claudia E. Korcarz Adam D. Gepner Rebecca Nye Rebekah L. Young Mika Matsuzaki Wendy S. Post Joel D. Kaufman Robyn L. McClelland James H. Stein |
| author_facet | Carol C. Mitchell Claudia E. Korcarz Adam D. Gepner Rebecca Nye Rebekah L. Young Mika Matsuzaki Wendy S. Post Joel D. Kaufman Robyn L. McClelland James H. Stein |
| author_sort | Carol C. Mitchell |
| collection | DOAJ |
| description | Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease (CVD) risk factors and could predict CVD events. Methods and Results Using a case‐cohort design, we measured common carotid artery ultrasound images from 1788 participants in Exam 1 of the MESA study (Multi‐Ethnic Study of Atherosclerosis) to derive 4 grayscale features: grayscale median, entropy, gray level difference statistic‐contrast, and spatial gray level dependence matrices‐angular second moment. CVD risk factor associations were determined by linear regression. Cox proportional hazard models with inverse selection probability weighting and adjustments for age, sex, race/ethnicity, CVD risk factors, and C‐reactive protein were used to determine if standardized values for grayscale median, entropy, gray level difference statistic‐contrast, and spatial gray level dependence matrices‐angular second moment could predict incident coronary heart disease, stroke, and total CVD events over a median 13 years follow‐up. Participants were mean (SD) 63.1 (10.3) years of age, 52.6% female, 32.1% white, 27.8% black, 23.3% Hispanic, and 16.8% Chinese. There were 283 coronary heart disease, 120 stroke, and 416 CVD events. Several associations of grayscale features with CVD risk factors were identified. In fully adjusted models, higher gray level difference statistic‐contrast was associated with a lower risk of incident coronary heart disease (hazard ratio 0.82, 95% CI 0.71–0.94, padj=0.005) and CVD events (hazard ratio 0.87, 95% CI 0.77–0.98, padj=0.018); higher spatial gray level dependence matrices‐angular second moment was associated with a higher risk of CVD events (hazard ratio 1.09, 95% CI 1.00–1.19, padj=0.044). Conclusions Gray level difference statistic‐contrast and spatial gray level dependence matrices‐angular second moment predicted CVD events independent of risk factors, indicating their potential use as biomarkers to assess future CVD risk. |
| first_indexed | 2024-04-12T23:33:02Z |
| format | Article |
| id | doaj.art-b81fd9df08614b6fbf2c638cc9ddfaf8 |
| institution | Directory Open Access Journal |
| issn | 2047-9980 |
| language | English |
| last_indexed | 2024-04-12T23:33:02Z |
| publishDate | 2019-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| spelling | doaj.art-b81fd9df08614b6fbf2c638cc9ddfaf82022-12-22T03:12:14ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802019-02-018310.1161/JAHA.118.010875Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA StudyCarol C. Mitchell0Claudia E. Korcarz1Adam D. Gepner2Rebecca Nye3Rebekah L. Young4Mika Matsuzaki5Wendy S. Post6Joel D. Kaufman7Robyn L. McClelland8James H. Stein9Division of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WIDivision of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WIDivision of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WIDivision of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WIDepartment of Biostatistics University of Washington Seattle WADepartment of Biostatistics University of Washington Seattle WADivision of Cardiology Department of Medicine Johns Hopkins University Baltimore MDDepartments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology University of Washington Seattle WADepartment of Biostatistics University of Washington Seattle WADivision of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WIBackground We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease (CVD) risk factors and could predict CVD events. Methods and Results Using a case‐cohort design, we measured common carotid artery ultrasound images from 1788 participants in Exam 1 of the MESA study (Multi‐Ethnic Study of Atherosclerosis) to derive 4 grayscale features: grayscale median, entropy, gray level difference statistic‐contrast, and spatial gray level dependence matrices‐angular second moment. CVD risk factor associations were determined by linear regression. Cox proportional hazard models with inverse selection probability weighting and adjustments for age, sex, race/ethnicity, CVD risk factors, and C‐reactive protein were used to determine if standardized values for grayscale median, entropy, gray level difference statistic‐contrast, and spatial gray level dependence matrices‐angular second moment could predict incident coronary heart disease, stroke, and total CVD events over a median 13 years follow‐up. Participants were mean (SD) 63.1 (10.3) years of age, 52.6% female, 32.1% white, 27.8% black, 23.3% Hispanic, and 16.8% Chinese. There were 283 coronary heart disease, 120 stroke, and 416 CVD events. Several associations of grayscale features with CVD risk factors were identified. In fully adjusted models, higher gray level difference statistic‐contrast was associated with a lower risk of incident coronary heart disease (hazard ratio 0.82, 95% CI 0.71–0.94, padj=0.005) and CVD events (hazard ratio 0.87, 95% CI 0.77–0.98, padj=0.018); higher spatial gray level dependence matrices‐angular second moment was associated with a higher risk of CVD events (hazard ratio 1.09, 95% CI 1.00–1.19, padj=0.044). Conclusions Gray level difference statistic‐contrast and spatial gray level dependence matrices‐angular second moment predicted CVD events independent of risk factors, indicating their potential use as biomarkers to assess future CVD risk.https://www.ahajournals.org/doi/10.1161/JAHA.118.010875cardiovascular eventscarotid arterytexture featuresultrasound |
| spellingShingle | Carol C. Mitchell Claudia E. Korcarz Adam D. Gepner Rebecca Nye Rebekah L. Young Mika Matsuzaki Wendy S. Post Joel D. Kaufman Robyn L. McClelland James H. Stein Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease cardiovascular events carotid artery texture features ultrasound |
| title | Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study |
| title_full | Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study |
| title_fullStr | Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study |
| title_full_unstemmed | Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study |
| title_short | Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study |
| title_sort | carotid artery echolucency texture features and incident cardiovascular disease events the mesa study |
| topic | cardiovascular events carotid artery texture features ultrasound |
| url | https://www.ahajournals.org/doi/10.1161/JAHA.118.010875 |
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