Home › Cell Biology › Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
Cell Biology JoVE (Open Access) Citable · DOI

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model

DOI: 10.3791/1346-v
What you'll learn
  • ✓ Deploy aortic stents in a preclinical model using minimally invasive techniques
  • ✓ Acquire and interpret longitudinal OCT images for restenosis monitoring
  • ✓ Analyze OCT data to quantify neointimal hyperplasia and stenosis progression
  • ✓ Apply this inexpensive model to study in-stent restenosis pathobiology
Protocol

This video demonstrates how to use a preclinical inexpensive and reliable model to study pathobiological and pathophysiological processes of in-stent restenosis development. Longitudinal in vivo monitoring using OCT (Optical Coherence Tomography) and analysis of OCT images are also demonstrated.

Difficulty
advanced
Total time
~2–3 weeks per animal (including stent deployment, imaging timepoints, and analysis)
Model organism
Rat (strain not specified in abstract)
Biosafety
BSL-1

Steps

1
Understand in-stent restenosis pathophysiology

Review the biological and pathophysiological mechanisms underlying in-stent restenosis development and rationale for preclinical modeling.

▶ 00:13
2
Deploy stent into aortic vessel

Perform surgical stent placement into the aorta using the described minimally invasive procedure to establish the restenosis model.

▶ 00:57
3
Acquire optical coherence tomography images

Use OCT imaging to longitudinally monitor in-stent restenosis development and obtain cross-sectional vessel and lumen data over time.

▶ 05:59
4
Analyze OCT images for stenosis metrics

Process and quantify OCT data including neointimal area, lumen diameter, and percent stenosis using image analysis software.

▶ 07:35
5
Interpret representative restenosis results

Review typical OCT findings and quantitative outcomes demonstrating neointimal growth and lumen narrowing progression.

▶ 08:22
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