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Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis.
Tesche, Christian; De Cecco, Carlo N; Vliegenthart, Rozemarijn; Duguay, Taylor M; Stubenrauch, Andrew C; Rosenberg, Russell D; Varga-Szemes, Akos; Bayer, Richard R; Yang, Junjie; Ebersberger, Ullrich; Baquet, Moritz; Jochheim, David; Hoffmann, Ellen; Steinberg, Daniel H; Chiaramida, Salvatore A; Schoepf, U Joseph.
Afiliação
  • Tesche C; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany.
  • De Cecco CN; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza", Rome, Italy.
  • Vliegenthart R; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, The Netherlands.
  • Duguay TM; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Stubenrauch AC; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Rosenberg RD; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Varga-Szemes A; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Bayer RR; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Yang J; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Cardiology, People's Liberation Army General Hospital, Beijing, China.
  • Ebersberger U; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany.
  • Baquet M; Department of Cardiology, Hospital of the Ludwig-Maximilians-University, Munich, Germany.
  • Jochheim D; Department of Cardiology, Hospital of the Ludwig-Maximilians-University, Munich, Germany.
  • Hoffmann E; Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany.
  • Steinberg DH; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Chiaramida SA; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Schoepf UJ; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. Electronic address: schoepf@musc.edu.
J Cardiovasc Comput Tomogr ; 10(5): 377-83, 2016.
Article em En | MEDLINE | ID: mdl-27431607
OBJECTIVE: To evaluate quantitative markers derived from coronary CT angiography (coronary CTA) performed prior to percutaneous coronary intervention (PCI) with stent placement for predicting in-stent restenosis (ISR) as defined by quantitative coronary angiography (QCA). MATERIALS AND METHODS: We retrospectively analyzed the data of 74 patients (60 ± 12 years, 72% male) who had undergone dual-source coronary CTA within 3 months prior to a PCI procedure that included stent placement. Quantitative markers of the target vessel were derived from coronary CTA: Total plaque volume (TPV), calcified and non-calcified plaque volumes (CPV and NCPV), plaque burden (PB in %), remodeling index (RI), and lesion length (LL). Marker performance for predicting ISR, as defined by QCA at follow-up, was assessed. RESULTS: Twenty-one of 74 stented lesions showed ISR on follow-up (mean 616 ± 447 days). When comparing stent length and LL in patients with ISR, a trend towards less complete stent coverage of the target lesion was observed in cases with ISR (17/21 vs. 4/53 cases, p = 0.07). In multivariate analysis (corrected for dyslipidemia), the following markers showed predictive value for ISR (odds ratio [OR]): NCPV (OR 1.08, p = 0.045), LL (OR 1.38, p = 0.0024), and RI (OR 1.13, p = 0.0019). Sensitivity and specificity for ISR were: NCPV 65% and 80%, LL 74% and 74%, and RI 71% and 78%. At receiver-operating characteristics analysis, NCPV (0.72, p = 0.001), LL (0.77, p < 0.0001), and RI (0.79, p < 0.0001) showed discriminatory power for predicting ISR. A combination of these markers showed incremental predictive value (AUC 0.89, p < 0.0001) with sensitivity and specificity of 90% and 84%, respectively. CONCLUSION: Coronary CTA-derived NCPV, LL, and RI portend predictive value for ISR with incremental predictive value when combining these parameters.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Stents / Angiografia Coronária / Vasos Coronários / Reestenose Coronária / Calcificação Vascular / Intervenção Coronária Percutânea / Angiografia por Tomografia Computadorizada Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Stents / Angiografia Coronária / Vasos Coronários / Reestenose Coronária / Calcificação Vascular / Intervenção Coronária Percutânea / Angiografia por Tomografia Computadorizada Idioma: En Ano de publicação: 2016 Tipo de documento: Article