Literature DB >> 27431607

Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis.

Christian Tesche1, Carlo N De Cecco2, Rozemarijn Vliegenthart3, Taylor M Duguay4, Andrew C Stubenrauch4, Russell D Rosenberg5, Akos Varga-Szemes4, Richard R Bayer5, Junjie Yang6, Ullrich Ebersberger1, Moritz Baquet7, David Jochheim7, Ellen Hoffmann8, Daniel H Steinberg9, Salvatore A Chiaramida9, U Joseph Schoepf10.   

Abstract

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.
Copyright © 2016 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coronary artery disease; Coronary computed tomography angiography; In-stent restenosis; Quantitative coronary angiography

Mesh:

Year:  2016        PMID: 27431607     DOI: 10.1016/j.jcct.2016.07.005

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  6 in total

1.  Natural History of Untreated Coronary Total Occlusions Revealed with Follow-Up Semi-Automated Quantitative Coronary CT Angiography: The Morphological Characteristics of Initial CT Predict Occlusion Shortening.

Authors:  Qian Wu; Mengmeng Yu; Yuehua Li; Wenbin Li; Zhigang Lu; Meng Wei; Jing Yan; Jiayin Zhang
Journal:  Korean J Radiol       Date:  2018-02-22       Impact factor: 3.500

2.  Progression of coronary atherosclerotic plaque burden and relationship with adverse cardiovascular event in asymptomatic diabetic patients.

Authors:  Junjie Yang; Guanhua Dou; Christian Tesche; Carlo N De Cecco; Brian E Jacobs; U Joseph Schoepf; Yundai Chen
Journal:  BMC Cardiovasc Disord       Date:  2019-02-11       Impact factor: 2.298

3.  Diagnostic value of intraluminal stent enhancement in estimating coronary in-stent restenosis.

Authors:  Mehdi Karami Nogourani; Maryam Moradi; Amirreza Sajjadieh Khajouei; Maryam Farghadani; Atefeh Eshaghian
Journal:  J Clin Imaging Sci       Date:  2020-03-31

4.  Predictive value of using plasma long non-coding RNAs ANRIL and HOXA11-AS for in-stent restenosis.

Authors:  Zhijiang Jin; Hongfeng Shen; Wei Cha; Haijiang Xia; Longbin Liu
Journal:  Exp Ther Med       Date:  2021-12-06       Impact factor: 2.447

5.  Coronary computed tomography angiography as a screening tool for moderate-high risk asymptomatic type 2 diabetes mellitus patients.

Authors:  Qiaolu Liu; Jianfeng Qiu; Shuxin Sun; Xiaoqiang Wang; Zhanguo Sun; Huihui Zhao
Journal:  Front Cardiovasc Med       Date:  2022-08-09

6.  Inter-observer agreement of the Coronary Artery Disease Reporting and Data System (CAD-RADSTM) in patients with stable chest pain.

Authors:  Ahmed Abdel Khalek Abdel Razek; Mohamed Magdy Elrakhawy; Mahmoud Mohamed Yossof; Hadeer Mohamed Nageb
Journal:  Pol J Radiol       Date:  2018-04-16
  6 in total

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