+1 877 705 191424 / 7
HIPAA Compliant
ISO 27001 Certified

Actively Recruiting

Phase Not Applicable
Age: 20Years - 80Years
All Genders
ID06979427

Evaluation of CTFFR for Identifying Non-Significant Coronary Lesions and Predicting Major Cardiovascular Events Over One Year

Led by Shiraz University of Medical Sciences · Updated on 2025-05-21

250

Participants Needed

1

Research Sites

8 weeks

Total Duration

AI-Summary

What this Trial Is About

This research investigates the use of a diagnostic test called fractional flow reserve derived from CT angiography NIFFR in patients with known or suspected chronic coronary syndrome CAD. It focuses on patients who have at least one coronary artery lesion with 50-70% narrowing. The study aims to see if NIFFR can identify lesions that are not significant and predict major heart-related events over a one-year period. Participants had coronary computed tomography angiography CCTA and invasive coronary angiography ICA with FFR measurements. The study included 250 patients with intermediate coronary lesions and NIFFR values above 0.80. Their coronary artery lesions were carefully measured and classified using advanced imaging software. The study groups compared patients with nonsignificant NIFFR and those with significant NIFFR values. Over one year, patients were followed closely, with visits every three months and phone calls to monitor for major adverse cardiovascular events MACE, including heart-related death, acute coronary syndrome, unexpected procedures to restore blood flow, and hospitalizations due to heart problems. Researchers collected detailed patient information including heart function, lesion characteristics, and cardiovascular risk factors. Outcomes such as MACE, bleeding, and shortness of breath were tracked to evaluate the diagnostic value of NIFFR in predicting heart health risks.

CONDITIONS

Brief Title

CTFFR and Prediction of Non-Significant CAD Lesions

Research Team

J

javad UOM kojuri

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here