Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by OCT Based on Multimodal Deep Learning

Xiang Ma

Status: Not yet enrolling

Conditions: Coronary Artery Disease; Coronary Disease

Treatments: Procedure: Coronary stenting with planned drug eluting stent (DES).

Study type: Observational

Funder types: Other

Identifiers

NCT06544681

2022B03022-3

Details and patient eligibility

About

This is a retrospective, multicenter, observational study aimed at assessing stent apposition for coronary stent implantation by an optical coherence tomography system constructed by deep learning algorithms and evaluating the prognosis of patients after stent implantation in conjunction with multimodal diagnostic and therapeutic information.

Full description

In this study, we planned to retrospectively collect 2,000 subjects who underwent optical coherence tomography-guided percutaneous coronary stent implantation with an optical coherence tomography system constructed by a deep learning algorithm from 3 centers to assess stent apposition for coronary stent implantation, and to classify subjects into a group with poor stent apposition (axial distance >400 μm or length >1 mm) and a group with good stent apposition. All subjects were followed up within 12 months after the procedure.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 20 to 80 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age ≥20 years old;
• Angiography was performed, and OCT imaging of criminal blood vessels was performed before intervention;
• Type of coronary heart disease: Unstable angina pectoris (UA), ST elevation myocardial infarction (STEMI) And non-ST elevation myocardial infarction (NSTEMI);

Exclusion criteria

• Lack of medical records;
• Failure to complete follow-up;
• Previous coronary artery bypass grafting;
• Severe liver or kidney insufficiency;
• Infectious diseases, malignancies and bleeding diseases;
• OCT image quality was caused by large thrombus volume or residual blood in lumen and percutaneous coronary angiography Poor and further excluded.

Trial design

2,000 participants in 2 patient groups

Coronary Stent Malapposition

Description:

Measurement results of deep learning-based OCT system: Coronary Stent Malapposition

Treatment:

Procedure: Coronary stenting with planned drug eluting stent (DES).

Coronary Stent Well Apposed

Description:

Measurement results of a deep learning-based OCT system: Coronary Stent Well Apposed

Treatment:

Procedure: Coronary stenting with planned drug eluting stent (DES).