Optical Coherence Tomography: Prognostic Value and Artificial Intelligence
NCT ID: NCT07293858
Last Updated: 2025-12-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
1000 participants
OBSERVATIONAL
2021-11-26
2028-12-31
Brief Summary
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The study will examine whether specific OCT-derived characteristics-such as plaque morphology, vulnerable features, or indicators of stent optimization-are associated with long-term clinical outcomes. Follow-up information on symptoms, medication use, hospitalizations, cardiac procedures, and major cardiac events will be collected through medical records, questionnaires, and national registry data over a period of up to 10 years.
In addition, pseudonymized OCT pullbacks will be used to support the development of an artificial intelligence (AI) algorithm for automated annotation of OCT images. This algorithm may help improve the clinical interpretation of OCT by identifying relevant imaging features in a consistent and efficient manner.
Participation is voluntary and includes permission to use clinical data, OCT images, and follow-up information for research purposes. Data are coded to protect participant privacy and stored securely according to applicable regulations. The results of this study may contribute to better understanding of coronary plaque characteristics and may support improved decision-making in interventional cardiology.
Detailed Description
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Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* OCT performed at the discretion of the treating physician, according to contemporary clinical guidelines.
* Written informed consent obtained after the procedure.
Exclusion Criteria
* Patients for whom follow-up or data collection is not feasible (e.g., no valid contact details).
ALL
No
Sponsors
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Radboud University Medical Center
OTHER
Responsible Party
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Locations
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Radboudumc
Nijmegen, Gelderland, Netherlands
Countries
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Central Contacts
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Facility Contacts
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Niels van Royen, Prof. dr.
Role: primary
Other Identifiers
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2021-13271
Identifier Type: -
Identifier Source: org_study_id