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

NCT06544681 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2024-08-09

No results posted yet for this study

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.

Conditions

Interventions

PROCEDURE

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.

Sponsors & Collaborators

  • Shihezi University

    collaborator OTHER

  • Xiang Ma

    lead OTHER

Principal Investigators

  • Pengfei Liu, M.D · First Affiliated Hospital of Xinjiang Medical University

  • Xinliang Peng, M.D · First Affiliated Hospital of Xinjiang Medical University

  • Abudusalamu Tuerdimaimaiti, M.D · First Affiliated Hospital of Xinjiang Medical University

Eligibility

Min Age
20 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-20
Primary Completion
2026-12-31
Completion
2026-12-31

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06544681 on ClinicalTrials.gov