Predicting outcomes from coronary OCT images with AI

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective registry enrolls consecutive patients who undergo intracoronary optical coherence tomography (OCT) as part of routine cardiac catheterization at Radboudumc and participating centers. High-resolution OCT pullbacks and clinical data are collected, and patients are followed for up to 10 years using medical records, questionnaires, and national registries to capture symptoms, medications, hospitalizations, procedures, and major cardiac events. The study will test whether OCT-derived plaque morphology, vulnerable features, or indicators of stent optimization are associated with long-term clinical outcomes. Pseudonymized OCT images will also be used to develop and train an AI algorithm for automated OCT annotation.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* All consecutive patients undergoing intracoronary OCT imaging at the Radboud University Medical Center, and any additional centers that may join the study in the future.
* OCT performed at the discretion of the treating physician, according to contemporary clinical guidelines.
* Written informed consent obtained after the procedure.

Exclusion Criteria:

* Patients who decline or are unable to provide informed consent. (Only patients who provide consent can be included.
* Patients for whom follow-up or data collection is not feasible (e.g., no valid contact details).

Where it's running

• Radboudumc
  Nijmegen, Gelderland, Netherlands Recruiting

Study contacts

• Study coordinator: Joske L. van der Zande
• Email: joske.vanderzande@radboudumc.nl
• Phone: 0622997212

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.