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"snippet" : true }, "volume" : "9", "issue" : "6", "firstPage" : "538", "lastPage" : "545", "firstPageOrInternalIdForSort" : "538", "pageLength" : 8, "publishedYear" : 2015, "abstractText" : "BACKGROUND: Coronary computed tomography angiography (CTA) can be used to detect and quantitatively assess high-risk plaque features. OBJECTIVE: To validate the ROMICAT score, which was derived using semi-automated quantitative measurements of high-risk plaque features, for the prediction of ACS. MATERIAL AND METHODS: We performed quantitative plaque analysis in 260 patients who presented to the emergency department with suspected ACS in the ROMICAT II trial. The readers used a semi-automated software (QAngio, Medis medical imaging systems BV) to measure high-risk plaque features (volume of <60HU plaque, remodeling index, spotty calcium, plaque length) and diameter stenosis in all plaques. We calculated a ROMICAT score, which was derived from the ROMICAT I study and applied to the ROMICAT II trial. The primary outcome of the study was diagnosis of an ACS during the index hospitalization. RESULTS: Patient characteristics (age 57 +/- 8 vs. 56 +/- 8 years, cardiovascular risk factors) were not different between those with and without ACS (prevalence of ACS 7.8%). There were more men in the ACS group (84% vs. 59%, p = 0.005). When applying the ROMICAT score derived from the ROMICAT I trial to the patient population of the ROMICAT II trial, the ROMICAT score (OR 2.9, 95% CI 1.4-6.0, p = 0.003) was a predictor of ACS after adjusting for gender and >/=50% stenosis. The AUC of the model containing ROMICAT score, gender, and >/=50% stenosis was 0.91 (95% CI 0.86-0.96) and was better than with a model that included only gender and >/=50% stenosis (AUC 0.85, 95%CI 0.77-0.92; p = 0.002). CONCLUSIONS: The ROMICAT score derived from semi-automated quantitative measurements of high-risk plaque features was an independent predictor of ACS during the index hospitalization and was incremental to gender and presence of >/=50% stenosis.", "subjects" : [ { "otype" : "Classification", "mtid" : 12215, "link" : "/api/classification/12215", "label" : "Klinikai orvostan", "published" : true, "snippet" : true } ], "digital" : null, "printed" : null, "sourceYear" : 2015, "packet" : "357320", "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : false, "nationalOrigin" : true, "missingAuthor" : false, "oaType" : "PAY", "oaCheckDate" : "2024-03-08", "oaFree" : false, "citationCount" : 64, "citationCountUnpublished" : 0, "citationCountWoOther" : 64, "independentCitCountWoOther" : 46, "nationalOriginCitationCount" : 11, "foreignEditionCitationCount" : 63, "doiCitationCount" : 63, "wosCitationCount" : 59, "scopusCitationCount" : 59, 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