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Updated: Jun 22, 2026

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Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
Published on: September 14, 2009
Reproducibility of quantitative optical coherence tomography for stent analysis
Nieves Gonzalo1, Hector M Garcia-Garcia, Patrick W Serruys
1Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Summary
Optical coherence tomography (OCT) provides excellent reproducibility for measuring drug-eluting stent strut count, apposition, and tissue coverage. This confirms OCT
Area of Science:
- Cardiovascular imaging
- Medical device analysis
- Interventional cardiology
Background:
- Accurate assessment of drug-eluting stents (DES) is crucial for long-term clinical outcomes.
- Optical coherence tomography (OCT) is a key imaging modality for evaluating stent deployment and tissue response.
- Standardized and reproducible measurements are essential for reliable DES assessment.
Purpose of the Study:
- To evaluate the inter- and intra-observer reproducibility of strut count, strut apposition, and strut tissue coverage measurements using OCT.
- To determine the reliability of OCT measurements in a core laboratory setting.
Main Methods:
- Ten drug-eluting stents were analyzed using OCT nine months post-implantation.
- Two independent analysts performed measurements, with one repeating the analysis for reproducibility assessment.
- Measurements included strut count, lumen and stent area, tissue coverage, and malapposed struts using proprietary software.
Main Results:
- Excellent agreement was observed for strut number count (inter-observer Kendall's Tau-b 0.90, intra-observer 0.94).
- Relative differences for lumen area, stent area, and tissue coverage were approximately 1%.
- Complete agreement (Kappa=1) was achieved for malapposed strut classification.
Conclusions:
- OCT demonstrates excellent inter- and intra-observer reproducibility for key measurements of drug-eluting stents.
- These findings highlight the value of OCT for the clinical long-term assessment of stents.
- OCT is a reliable tool for quantitative analysis in interventional cardiology studies.

