Coronary in-stent restenosis: predisposing clinical and stent-related factors, diagnostic performance and analyses of inaccuracies in 320-row computed tomography angiography

Yung Liang Wan*, Pei Kwei Tsay, Chun Chi Chen, Yu Hsiang Juan, Yu Chieh Huang, Wen Hui Chan, Ming Shien Wen, I. Chang Hsieh

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

16 Scopus citations

Abstract

The aim of this study was to identify predisposing factors for coronary in-stent restenosis (ISR) and assess its detection by 320-row computed tomography angiography (CTA) using invasive coronary angiography (ICA) as a gold standard. A total of 189 patients (aged 35–79, mean age 56.6, 169 males) with 318 stents underwent ICA within 4 days after CTA. ISR was found in 19 (10.0 %) patients and 25 (7.9 %) stents. At the patient level, the presence of ISR was significantly related to the number of deployed stents (P = 0.026) and body mass index (P = 0.030). At the stent level, stents with diameter <3 mm were more likely to have ISR than those with diameter ≥3 mm (53.8 % vs. 28.9 %, P = 0.016). Bare metal stents were significantly more likely to have ISR than drug-eluting stents (15.2 % vs. 6 %, P = 0.022). ISR was not significantly related to stent length (P = 0.097) and stent placement in coronary arteries at the vessel level (P = 0.059). False-positive or false-negative results of CTA were not related to stent location, diameter, length, and strut thickness (P > 0.05). At the patient level, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of CTA for detecting ISR were 90, 96, 74, 99, and 96 %, respectively. At the stent level, the corresponding figures were 92, 96, 67, 99, and 96 %. The high negative predictive value of 99 % suggests that 320-row CTA is helpful for excluding ISR.

Original languageEnglish
Pages (from-to)105-115
Number of pages11
JournalInternational Journal of Cardiovascular Imaging
Volume32
DOIs
StatePublished - 01 06 2016

Bibliographical note

Publisher Copyright:
© 2016, Springer Science+Business Media Dordrecht.

Keywords

  • Computed tomography angiography
  • Coronary artery disease
  • Diagnostic accuracy
  • In-stent restenosis
  • Predisposing factors

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