New quantitative method to diagnose coronary in-stent restenosis by 64-multislice computed tomography. Issue 1 (January 2015)

• Record Type: Journal Article
• Authors: Yoshimura, Masayuki; Nao, Tomoko; Miura, Toshiro; Okada, Munemasa; Nakashima, Yoshiteru; Fujimura, Tatsuhiro; Okamura, Takayuki; Yamada, Jutaro; Matsunaga, Naofumi; Matsuzaki, Masunori; Yano, Masafumi
• Is Part Of: Journal of cardiology. Volume 65:Issue 1(2015:Jan.)
• Page Start: 57
• Page End: 62
• Publication Date: 2015-01
• Subjects: Multidetector computed tomography -- In-stent restenosis -- Coronary angiography; Cardiology -- Periodicals; 616.12
• DOI: 10.1016/j.jjcc.2014.03.013
• Languages: English
• ISSNs: 0914-5087

Abstract

Abstract: Background: The aim of this study is to evaluate the accuracy of a newly developed quantitative method using 64-multislice computed tomography angiography (CTA) to detect coronary in-stent restenosis (ISR). Methods and results: CTA was performed in 45 patients who underwent stent implantation (79 lesions) and the accuracy to diagnose ISR was evaluated by comparing with invasive coronary angiography (ICA). CTA was evaluated both visually and quantitatively using a new stent restenosis index (SRI) utilizing CT densities at proximal and distal artery lumen from the stented region and the correction value depending on the stent diameter. ICA showed 11 ISR (14%). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for visual evaluation were 78%, 75%, 35%, 95%, and 76%, respectively. On the other hand, the quantitative evaluation using SRI represents 82%, 93%, 64%, 97%, and 91%, respectively. Conclusions: Evaluation of ISR using SRI is superior to the visual estimation of CTA.