Abstract
Ahmed Mustafa Rashid, Sashwath Srikanth, Neeka Tavanaei, Kareena Patel, Tanushree Prasad, Jared Spitz, Priyanka Satish, D. Kalra, Amro Alsaid, Anandita Kulkarni
Abstract
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Quantification of low-attenuation plaque burden from coronary CT angiography: a head-to-head comparison with near-infrared spectroscopy intravascular US
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10.1016/j.jcmg.2022.07.002 · doi-reference
Standards for quantitative assessments by coronary computed tomography angiography (CCTA): an expert consensus document of the society of cardiovascular computed tomography (SCCT)
10.1016/j.jcct.2024.05.232 · doi-reference
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10.1016/j.jcmg.2024.12.008 · doi-reference
Incidence and progression of coronary artery calcium in South Asians compared with 4 race/ethnic groups
10.1161/jaha.118.011053 · doi-reference
New look at the power of zero Coronary Artery Calcium (CAC) in Asian population: a systemic review and meta-analysis
10.21037/cdt-23-474 · doi-reference
Prevalence of noncalcified coronary plaque in patients with calcium score of 0: the silent enemy
10.1177/0003319712440618 · doi-reference
Prognosis of zero coronary artery calcium score in symptomatic patients of South Asian descent - an experience from a tertiary care center in Pakistan
10.5334/gh.1365 · doi-reference
10.1016/j.atherosclerosis.2021.08.030
10.1016/j.atherosclerosis.2021.08.030 · doi-reference
Society of Cardiovascular Computed Tomography/North American Society of Cardiovascular Imaging – expert consensus document on coronary CT imaging of atherosclerotic plaque
10.1016/j.jcct.2020.11.002 · doi-reference
The high-risk criteria low-attenuation plaque <60 HU and the napkin-ring sign are the most powerful predictors of MACE: a long-term follow-up study
10.1093/ehjci/jew167 · doi-reference
Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction: results from the multicenter SCOT-HEART trial (Scottish Computed Tomography of the HEART)
10.1161/circulationaha.119.044720 · doi-reference
Ethnic differences in coronary plaque burden and characteristics: a matched CCTA cohort study of South Asians and Non-Hispanic Whites
10.1016/j.atherosclerosis.2025.120455 · doi-reference
Strengths and weakness of the atherosclerotic cardiovascular risk calculation: a qualitative study
10.3122/jabfm.2024.240324r1 · doi-reference
Performance of the pooled cohort equation in South Asians: insights from a large integrated healthcare delivery system
10.1186/s12872-022-02993-z · doi-reference
Age and sex specific coronary plaque characteristics among South Asians: insights from the DILWALE CTA study
10.1016/j.ajpc.2026.101567 · doi-reference
Diagnostic performance of AI-enabled plaque quantification from coronary CT angiography compared with intravascular ultrasound
10.1148/ryct.230312 · doi-reference
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10.1016/j.jcct.2023.10.002 · doi-reference
Prevalence and prognostic implication of non-calcified plaque in asymptomatic population with coronary artery calcium score of zero
10.4070/kcj.2013.43.3.154 · doi-reference
Low-density lipoprotein cholesterol and cardiovascular risk in the absence of calcifications on computed tomography: the Western Denmark Heart Registry
10.1093/eurheartj/ehaf497 · doi-reference
Coronary atherosclerotic plaque burden and composition by CT angiography in Caucasian and South Asian patients with stable chest pain
10.1093/ehjci/jew085 · doi-reference
Coronary atherosclerotic plaque burden assessment by computed tomography and its clinical implications
10.1161/circimaging.123.016443 · doi-reference
Development and validation of the American Heart Association’s PREVENT equations
10.1161/circulationaha.123.067626 · doi-reference
Coronary computed tomography angiography in prediction of first coronary events
10.1001/jama.2025.21077 · doi-reference
Recurrent cardiovascular events among South Asian individuals: insights from the Baylor Scott & White DILWALE Registry
10.1016/j.jacl.2025.09.031 · doi-reference
Quantifying and understanding the higher risk of atherosclerotic cardiovascular disease among South Asian individuals: results from the UK biobank prospective cohort study
10.1161/circulationaha.120.052430 · doi-reference
Addressing myocardial infarction in South-Asian populations: risk factors and machine learning approaches
10.1038/s44325-024-00040-8 · doi-reference