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    Diabetes mellitus (DM) is a major public health issue and a significant risk factor for atherosclerotic cardiovascular disease (ASCVD), which contributes to up to 80 ​% of deaths in individuals with diabetes.1 The elevated risk is primarily due to hyperglycemia-induced inflammation, oxidative stress, and endothelial dysfunction, leading to increased coronary plaque burden and rupture risk. Coronary Computed Tomography Angiography (CCTA) enables detailed assessment of plaque burden using metrics like Total Plaque Score (TPS), Total Stenosis Score (TSS), and Coronary Artery Calcium (CAC) Score.

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    • The effect of #diabetes on #plaque, stenosis, and #CAC score - https://t.co/uz2jhoqoXh

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    Extensive data demonstrate that coronary artery calcium (CAC) scoring powerfully stratifies cardiovascular risk beyond traditional risk factors.1 Budoff et al. showed in 25,253 asymptomatic individuals that adding CAC to risk models markedly improved prediction (C-index 0.61 to 0.81).1 CAC burden correlates with incident events in a graded manner: patients with CAC >400 have substantially higher rates of myocardial infarction and death compared to those with CAC = 0123. The segment involvement score (SIS), derived from coronary CT angiography (CCTA), quantifies the number of coronary segments (out of 16 or 17) with any plaque, regardless of severity.

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    • Comparative assessment of #CAC and #SISplaque burden categories via AI-guided quantitative CT analysis. #AI https://t.co/rB0sCowXIv

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    The effectiveness of coronary computed tomography angiography (CTA) is hindered by high coronary calcium scores, which create blooming artefacts that obscure the coronary lumen and lead to inaccurate stenosis assessments.1 Spectral CT, utilizing multi-energy CT technology, allows data acquisition at different energy levels, improving coronary artery visualization, particularly in the presence of calcified plaques.2–4 This study evaluates the accuracy of coronary CTA using spectral CT in patients with high calcium scores (>500) using invasive coronary angiography as reference.

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    • Accuracy of #CCTA using spectral CT in patients with high #CAC https://t.co/jnu8hH845P

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    Cardiac computed tomography angiography (CCTA) has become a cornerstone in cardiovascular risk assessment, allowing for the quantification of coronary artery disease (CAD) burden and characterization of high-risk plaque features associated with adverse outcomes. Coronary artery calcium (CAC) scoring, utilizing the Agatston method, has been extensively validated as a predictor of cardiovascular events, with calcified plaques considered more stable and non-calcified plaques (NCP) linked to heightened cardiovascular risk.

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    • Racial differences in #atherosclerosis and #CoronaryPlaque characteristics using enhanced #AI quantification (RACE-AI) https://t.co/SDGpgQAom7