Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population
Background: Ethnic differences in coronary atherosclerosis remain to be fully elucidated. We aimed to assess quantitative plaque characteristics from coronary CT Angiography (CCTA) in relation to ethnicity and cardiovascular risk factors in a multi-ethnic asymptomatic US population. Methods: This cr...
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Elsevier
2025-03-01
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| Series: | American Journal of Preventive Cardiology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666667725000029 |
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| author | Guadalupe Flores Tomasino Caroline Park Kajetan Grodecki Jolien Geers Donghee Han Andrew Lin Keiichiro Kuronuma Nipun Manral Emily Xing Heidi Gransar Sebastien Cadet Alan Rozanski Piotr J. Slomka Michelle Williams Daniel S. Berman Damini Dey |
| author_facet | Guadalupe Flores Tomasino Caroline Park Kajetan Grodecki Jolien Geers Donghee Han Andrew Lin Keiichiro Kuronuma Nipun Manral Emily Xing Heidi Gransar Sebastien Cadet Alan Rozanski Piotr J. Slomka Michelle Williams Daniel S. Berman Damini Dey |
| author_sort | Guadalupe Flores Tomasino |
| collection | DOAJ |
| description | Background: Ethnic differences in coronary atherosclerosis remain to be fully elucidated. We aimed to assess quantitative plaque characteristics from coronary CT Angiography (CCTA) in relation to ethnicity and cardiovascular risk factors in a multi-ethnic asymptomatic US population. Methods: This cross-sectional study retrospectively evaluated 388 asymptomatic patients selected from a prospective CCTA registry. A total of 194 patients from ethnic minority groups (Asian, African American, and Hispanic) were matched by age, sex, and cardiovascular risk factors to 194 White patients. Quantitative plaque volumes—including total plaque, non-calcified plaque, low-attenuation non-calcified plaque (<30 Hounsfield Units [HU]), and calcified plaque—were measured using artificial intelligence-enabled software. Pericoronary adipose tissue attenuation (PCAT) was also assessed and reported in Hounsfield Units (HU). Results: The total study population included 388 patients (age 59.9±11.7 years, 68% male), of which 63% had coronary atherosclerosis with total plaque volumes of 149[IQR 50-438] mm3, driven predominantly by non-calcified plaque (122, IQR 27-369) mm3. Men presented higher volumes of all plaque components compared to women (P<0.05). In multivariable analysis adjusted for cardiovascular risk factors, only African American patients were associated with lower total plaque (β=-89.2, P=0.036), calcified (β=-26.1, P=0.015), and non-calcified plaque volumes (β=-62.7, P=0.022). African American patients were also associated with higher PCAT (β=5.8, P<0.001), along with family history of coronary artery disease (β=2.1, P=0.04). Conclusions: Our study showed a uniformly high prevalence of atherosclerosis in this asymptomatic cohort, with lower plaque volumes of all sub-components in women. African American patients were associated with lower quantitative plaque volumes (total, non-calcified and calcified) but with higher PCAT compared to White patients; with no significant differences observed among other ethnic minorities. |
| format | Article |
| id | doaj-art-4a3d7219c0454c10aea6cdffed29226a |
| institution | Kabale University |
| issn | 2666-6677 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
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| series | American Journal of Preventive Cardiology |
| spelling | doaj-art-4a3d7219c0454c10aea6cdffed29226a2025-01-18T05:05:20ZengElsevierAmerican Journal of Preventive Cardiology2666-66772025-03-0121100929Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US populationGuadalupe Flores Tomasino0Caroline Park1Kajetan Grodecki2Jolien Geers3Donghee Han4Andrew Lin5Keiichiro Kuronuma6Nipun Manral7Emily Xing8Heidi Gransar9Sebastien Cadet10Alan Rozanski11Piotr J. Slomka12Michelle Williams13Daniel S. Berman14Damini Dey15Departments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; First Department of Cardiology, Medical University of Warsaw, Warsaw, Poland; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Cardiology, Centrum Voor Hart- en Vaatziekten (CHVZ), Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA; Victorian Heart Institute, Monash University, Melbourne, VIC, Australia; Monash Heart, Monash Health, Melbourne, VIC, AustraliaDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USADivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USADivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA; BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UKDivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USADepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA; Corresponding author at: Departments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.Background: Ethnic differences in coronary atherosclerosis remain to be fully elucidated. We aimed to assess quantitative plaque characteristics from coronary CT Angiography (CCTA) in relation to ethnicity and cardiovascular risk factors in a multi-ethnic asymptomatic US population. Methods: This cross-sectional study retrospectively evaluated 388 asymptomatic patients selected from a prospective CCTA registry. A total of 194 patients from ethnic minority groups (Asian, African American, and Hispanic) were matched by age, sex, and cardiovascular risk factors to 194 White patients. Quantitative plaque volumes—including total plaque, non-calcified plaque, low-attenuation non-calcified plaque (<30 Hounsfield Units [HU]), and calcified plaque—were measured using artificial intelligence-enabled software. Pericoronary adipose tissue attenuation (PCAT) was also assessed and reported in Hounsfield Units (HU). Results: The total study population included 388 patients (age 59.9±11.7 years, 68% male), of which 63% had coronary atherosclerosis with total plaque volumes of 149[IQR 50-438] mm3, driven predominantly by non-calcified plaque (122, IQR 27-369) mm3. Men presented higher volumes of all plaque components compared to women (P<0.05). In multivariable analysis adjusted for cardiovascular risk factors, only African American patients were associated with lower total plaque (β=-89.2, P=0.036), calcified (β=-26.1, P=0.015), and non-calcified plaque volumes (β=-62.7, P=0.022). African American patients were also associated with higher PCAT (β=5.8, P<0.001), along with family history of coronary artery disease (β=2.1, P=0.04). Conclusions: Our study showed a uniformly high prevalence of atherosclerosis in this asymptomatic cohort, with lower plaque volumes of all sub-components in women. African American patients were associated with lower quantitative plaque volumes (total, non-calcified and calcified) but with higher PCAT compared to White patients; with no significant differences observed among other ethnic minorities.http://www.sciencedirect.com/science/article/pii/S2666667725000029Coronary CT angiographyAtherosclerosisAtherosclerotic plaqueInflammationSex differencesEthnicity |
| spellingShingle | Guadalupe Flores Tomasino Caroline Park Kajetan Grodecki Jolien Geers Donghee Han Andrew Lin Keiichiro Kuronuma Nipun Manral Emily Xing Heidi Gransar Sebastien Cadet Alan Rozanski Piotr J. Slomka Michelle Williams Daniel S. Berman Damini Dey Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population American Journal of Preventive Cardiology Coronary CT angiography Atherosclerosis Atherosclerotic plaque Inflammation Sex differences Ethnicity |
| title | Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population |
| title_full | Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population |
| title_fullStr | Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population |
| title_full_unstemmed | Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population |
| title_short | Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population |
| title_sort | coronary plaque characteristics quantified by artificial intelligence enabled plaque analysis insights from a multi ethnic asymptomatic us population |
| topic | Coronary CT angiography Atherosclerosis Atherosclerotic plaque Inflammation Sex differences Ethnicity |
| url | http://www.sciencedirect.com/science/article/pii/S2666667725000029 |
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