Coronary artery disease
Usefulness of 64-Detector Computed Tomographic Angiography for Diagnosing In-Stent Restenosis in Native Coronary Arteries

https://doi.org/10.1016/j.amjcard.2007.09.117Get rights and content

The purpose of this study was to evaluate the accuracy of detector computed tomographic angiographic qualitative and quantitative analyses for the detection of in-stent restenosis (ISR) Previous studies have used qualitative analyses exclusively and have excluded “unevaluable” stents. Multidetector computed tomographic angiography (MDCT) was performed before quantitative coronary angiography in 67 patients with 132 stents that were evaluated by 2 techniques: (1) qualitative, on the basis of degree of visual hypodensity, and (2) quantitative, comparing in-stent with prestent Hounsfield units. All stents were evaluated, irrespective of image quality. The incidence of ISR was 12.5%. The sensitivity (94%), specificity (74%), and positive predictive value (39%) of the qualitative evaluation were superior to the quantitative technique (82%, 54%, and 21%, respectively); negative predictive values were similar (99% vs 95%). Accuracies were equal in stents located in proximal and distal vessels. In conclusion, ISR can be evaluated qualitatively by 64-slice MDCT with excellent sensitivity and negative predictive accuracy without exclusion of unevaluable stents and with reasonable specificity but low positive predictive value. Quantitative analysis was less accurate.

Section snippets

Methods

The study population consisted of 132 stents implanted in native coronary arteries in 67 consecutive patients who underwent quantitative selective coronary angiography (QCA) preceded by 64-slice MDCT performed within the 30-day period before QCA. All were evaluated for chest pain or shortness of breath; 50% had stent implantation >6 months before the study and were not referred specifically for ISR evaluation. Stent size was available in only 42 of the 132 stents; 21 were 2.5 mm in diameter,

Results

Demographic features are listed in Table 1. Metoprolol was administered to 42% of patients. Distribution of stents is presented in Table 2. ISR was noted in 17 patients (12.9%); 4 (3.0%) with 50% to 75% stenosis, 3 (2.3%) with 75% to 99% stenosis, and 10 (7.6%) with total occlusions. Totally normal stents were noted in 45 (34.1%); there were 56 (42.4%) with <25% stenosis and 18 (13.6%) with 25% to 50% stenosis.

Sensitivity and negative predictive value of the qualitative approach for detection

Discussion

This study was designed to evaluate the accuracy of 64-slice MDCT for the detection of ISR in a typical clinical setting. It differs from previous reports in several major respects. First, all previous 64-slice detector computed tomographic angiographic studies7, 8, 9, 10, 11 have relied entirely on qualitative stent evaluation. To provide a less subjective analysis, a quantitative approach was also applied. Second, all previous studies have presented significantly different analyses with and

References (16)

There are more references available in the full text version of this article.

Cited by (31)

  • Multidetector Computed Tomography Coronary Angiography for the Assessment of Coronary In-Stent Restenosis

    2010, American Journal of Cardiology
    Citation Excerpt :

    A progressive increase in the number of slices from 4 up to 40 allowed a contemporaneous increase in spatial resolution from 1.25 to 0.5 mm, providing promising results in ISR detection.2,12–16 The temporal resolution of old-generation scanners was further improved in the mid-2000s with the introduction of 64-slice multidetector computed tomographic scanners and DSCT.5–8,17–30 Moreover, in addition to detector improvements, these scanners were equipped with much faster gantries, resulting in effective temporal resolution up to 83 ms.24,25,30

  • The challenge of coronary stent imaging

    2010, Journal of Cardiovascular Computed Tomography
View all citing articles on Scopus

This study was supported by a grant from Philips Medical Systems, Cleveland, Ohio.

View full text