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Completed

NCT Number: NCT06018194

ELUCIDATE FFRct Study

The goal of this study is to evaluate the diagnostic accuracy of a novel plaque-based coronary CT angiography (CCTA) fractional flow reserve (FFRct) software device for the estimation of invasive fractional flow reserve (FFR).

Researchers will compare the Elucid plaque-based FFRct analysis to invasively measured FFR in patients who have previously undergone CCTA and invasively assessed FFR.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Cardiovascular Medical Group of Southern California, Beverly Hills, California, United States

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About this study

Invasive fractional flow reserve is a clinically validated measure of lesion-specific ischemia and is preferred over visual estimation of diameter stenosis for clinical decision-making regarding coronary revascularization in patients with stable clinical presentations. Fractional flow reserve derived from coronary computed tomography angiography (FFRct) using computational fluid dynamic (CFD)-based software has been shown to be a reasonably accurate estimate of invasive FFR and is included in contemporary guidelines as a decision-tool for management of patients with intermediate stenosis on CCTA. However, CFD-based FFRct is calculated based predominately on detailed coronary lumen geometry. It is understood that the burden and type of coronary atherosclerosis, in addition to lumen geometry, significantly impacts the vasodilatory capacity of the coronary endothelium.

Preliminary studies suggest that invasive FFR can be accurately estimated based on the quantification of coronary plaque burden and the assessment of plaque composition. Previously, the investigators have demonstrated that a novel plaque-based FFRct approach, using a histologically validated software (ElucidVivoTM) for the measurement of plaque morphology (volume, plaque risk characteristics, and stenosis) to train a deep-learning model, was shown to be accurate and superior to lumen stenosis for predicting invasive FFR in a single-site feasibility study.

In this study, the investigators seek to assess the diagnostic accuracy of the Elucid plaque-based FFRct software to estimate invasive FFR in patients at multiple centers.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults >18 years with CCTA (>64-detector row) performed within 60 days of undergoing invasive FFR. Exclusion Criteria
  • History of coronary revascularization with coronary artery bypass graft (CABG) surgery and/or percutaneous coronary intervention (PCI) (stent or balloon angioplasty) prior to CCTA and invasive FFR.
  • History of myocardial infarction prior to CCTA and invasive FFR.
  • Known complex congenital heart disease.
  • Existing pacemaker or internal defibrillator lead implantation(s).
  • Existing prosthetic heart valve.
  • Absence of CCTA Digital Imaging and Communications in Medicine (DICOM) data for analysis.
  • Absence of invasive coronary angiography imaging or adequate description defining the position of the invasive FFR wire location.
  • Poor CCTA image quality that does not meet Elucid image processing requirements for plaque and FFRct (See Image Analysis Manual below).
  • Absence of study date for CCTA or invasive FFR.
  • Interval clinical myocardial infarction, diagnosis of decompensated heart failure, stroke, or coronary revascularization procedure between CCTA and invasive FFR.
  • Non-diagnostic CCTA or invasive FFR. Studies where the results of the study were deemed non-diagnostic for clinical decision-making were excluded.
  • CCTA or invasive FFR studies performed prior to 1 January 2012.
  • Subjects who had IFR or CFR and not measured FFR.

Treatment and study plan

ElucidVivo

Device

Plaque morphology characterization on coronary CTA for predicting fractional flow reserve (FFRct)

Primary outcomes

  1. Sensitivity of FFRct versus invasive FFR for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-vessel

  2. Specificity of FFRct versus invasive FFR for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-vessel

Secondary outcomes

  1. Sensitivity of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-patient

  2. Specificity of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-patient

  3. Area under the receiver-operating characteristic curve (AUC) of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-vessel

  4. Area under the receiver-operating characteristic curve (AUC) of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-patient

  5. Accuracy of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-vessel

  6. Accuracy of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-patient

  7. Negative predictive value of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-vessel

  8. Negative predictive value of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-patient

  9. Positive predictive value of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-vessel

  10. Positive predictive value of FFRct for detecting invasive FFR ≤ 0.80

    Time frame: 1 day

    Per-patient

Sponsors and collaborators

Lead sponsor

Elucid Bioimaging Inc.

Industry

Registry information

Official study title

The ELUCIDATE FFRct Study

Important dates

Study start
2023
Primary completion
2025
Study completion
2025
First posted
Aug 30, 2023
Registry last updated
Sep 8, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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