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Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by OCT Based on Multimodal Deep Learning
Sponsor: Xiang Ma
Summary
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.
Official title: Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by Optical Coherence Tomography Based on Multimodal Deep Learning
Key Details
Gender
All
Age Range
20 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2024-08-20
Completion Date
2026-12-31
Last Updated
2024-08-09
Healthy Volunteers
No
Conditions
Interventions
Coronary stenting with planned drug eluting stent (DES).
Stenting will be performed with OCT guidance according to the algorithm described in the protocol. A deep learning-based OCT system was used to measure the adherence of coronary stents.