Evaluation of coronary artery in-stent restenosis by 64-section computed tomography: Factors affecting assessment and accurate diagnosis

Sang Hoon Chung, Young Jin Kim, Jin Hur, Hye Jeong Lee, Kyu Ok Choe, Tae Hoon Kim, Byoung Wook Choi

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

PURPOSE: To determine factors affecting the ability of 64-multislice computed tomography (MSCT) to detect, assess, and accurately diagnose significant coronary arterial in-stent restenosis (ISR). MATERIALS AND METHODS: The institutional review board approved this study and waived informed consent. Sixty patients underwent CT coronary angiography using 64-MSCT, after implantation of coronary artery stents (n=91). We assessed diagnostic accuracy for ISR with CT in comparison with conventional coronary angiography as the gold standard, visually and with measurement of in-stent coronary lumen density. Possible factors that influenced the diagnostic performance of CT were evaluated, which included image quality (IQ), stent characteristics, and location. RESULTS: Sixty-nine stents (75.8%) were assessable. Low IQ, location in the left circumflex coronary artery, and narrow stent diameter were associated with poor assessment (P<0.05). In stents that could be assessed, sensitivity, specificity, positive predictive value, and negative predictive value of 64-MSCT were 90.0%, 73.5%, 58.1%, and 94.7%, respectively, for significant ISR. The diagnostic accuracy in assessable stents showed a significant increase with better IQ, thinner strut thickness, and nondrug eluting stent. False-positive diagnoses of ISR by CT were explained by coronary lumen density measurements. CONCLUSIONS: Evaluation of stents by 64-MSCT is not recommended in stents with diameters of ≤2.75 mm or stents located at the left circumflex coronary artery. The diagnostic accuracy of 64-MSCT is affected by IQ and strut thickness in assessable stents. Significant ISR can be excluded with high reliability in selected patients.

Original languageEnglish
Pages (from-to)57-63
Number of pages7
JournalJournal of Thoracic Imaging
Volume25
Issue number1
DOIs
Publication statusPublished - 2010 Feb

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Pulmonary and Respiratory Medicine

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