Ignite Creation Date:
2025-12-25 @ 12:16 AM
Ignite Modification Date:
2025-12-25 @ 10:19 PM
Study NCT ID:
NCT07293858
Status:
RECRUITING
Last Update Posted:
2025-12-19
First Post:
2025-12-08
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Optical Coherence Tomography: Prognostic Value and Artificial Intelligence
Sponsor:
Radboud University Medical Center
Organization:
Study Overview
Official Title:
Optical Coherence Tomography: Prognostic Value and Artificial Intelligence
Status:
RECRUITING
Status Verified Date:
2025-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
ORANGE
Brief Summary:
This study aims to evaluate the prognostic value of optical coherence tomography (OCT) imaging of the coronary arteries. OCT provides high-resolution images of the vessel wall and stented segments during routine cardiac catheterization. All patients who undergo OCT as part of their clinical care are invited to participate in this prospective registry.
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.
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:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: