# OCT-based Machine Learning FFR for Predicting Post-PCI FFR

> **NCT06341361** · — · UNKNOWN · sponsor: **Yonsei University** · enrollment: 82 (estimated)

## Conditions studied

- Tomography, Optical Coherence
- Fractional Flow Reserve, Myocardial

## Interventions

- **DIAGNOSTIC_TEST:** OCT-based machine learning FFR

## Key facts

- **NCT ID:** NCT06341361
- **Lead sponsor:** Yonsei University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2024-04-15
- **Primary completion:** 2024-04-30
- **Final completion:** 2025-10-15
- **Target enrollment:** 82 (ESTIMATED)
- **Last updated:** 2024-04-02

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06341361

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06341361, "OCT-based Machine Learning FFR for Predicting Post-PCI FFR". Retrieved via AI Analytics 2026-06-16 from https://api.ai-analytics.org/clinical/NCT06341361. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*