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Tesche, Christian; Caruso, Damian; Cecco, Carlo N. de; Shuler, Darby C.; Rames, Jess D.; Albrecht, Moritz H.; Duguay, Taylor M.; Varga-Szemes, Akos; Jochheim, David; Baguet, Moritz; Bayer, Richard R.; Ebersberger, Ulirich; Litwin, Sheldon E.; Chiaramida, Salvatore A.; Hoffmann, Ellen; Schoepf, U. Joseph (2017): Coronary Computed Tomography Angiography Derived Plaque Quantification in Patients With Acute Coronary Syndrome. In: American Journal of Cardiology, Vol. 119, No. 5: pp. 712-718
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This study investigated the discriminatory value of quantitative atherosclerotic plaque markers derived from coronary computed tomography angiography (cCTA) in patients with first acute coronary syndrome (ACS) compared with patients with stable coronary artery disease (CAD). Forty patients (56.9 +/- 9.3 years, 55% men) admitted with their first ACS and Framingham risk score matched controls with stable CAD were retrospectively analyzed. All patients had undergone cCTA followed by invasive coronary angiography. Total plaque volume, calcified and noncalcified plaque volumes, plaque burden (in %), remodeling index, lesion length, presence of napkin-ring sign, segment involvement score, and segment stenosis score were derived from cCTA and compared between both groups on a per-lesion and per patient level. Patients with ACS showed-a significant higher number of obstructive CAD and higher values for segment stenosis score, segment involvement score, noncalcified plaque volume, lesion length, and remodeling index than the stable angina group (all p<0.05). On a per-lesion level, culprit lesions had significantly higher values for plaque burden, total plaque volume, noncalcified plaque volume, remodeling index, lesion length, and prevalence of napkin-ring sign in comparison to nonculprit lesions (all p<0.05). On receiver-operating characteristics (ROC) analysis, a stepwise model demonstrated incremental discriminatory power for identifying ACS both per-patient (area under the curve 0.92, p<0.0001) as well as per-lesion (area under the curve 0.88, p<0.0001). cCTA-derived culprit plaque markers show discriminatory value both on a per-patient and per-lesion level. A combination of markers added to the Framingham risk score yields the greatest discriminatory ability.