One-Dimensional Mathematical Model-Based Automated Assessment of Fractional Flow Reserve
The First Experience With Using a One-dimensional Mathematical Model With Fully Automated Algorithm of Extraction of Patient-specific Geometry From CT Images for a Noninvasive Assessment of Fractional Flow Reserve.
1 other identifier
interventional
31
1 country
1
Brief Summary
This study evaluates the diagnostic efficiency of an automated method of noninvasive assessment of the fractional reserve of coronary blood flow. Fractional flow reserve is estimated with a one-dimensional mathematical model constructed by means of an automated algorithm. Noninvasive method values are thereafter compared with invasive method values.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable coronary-artery-disease
Started Apr 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 5, 2017
CompletedFirst Submitted
Initial submission to the registry
December 22, 2018
CompletedFirst Posted
Study publicly available on registry
January 8, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 5, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
July 5, 2019
CompletedMay 18, 2020
May 1, 2020
2.2 years
December 22, 2018
May 14, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic Accuracy of FFRct
Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of FFRct at the vessel level using binary outcomes whith compared to FFR as the reference standard.
through study completion, an average of 8 months
Study Arms (1)
FFRct
EXPERIMENTALPatients will receive cCTA, ICA, FFRct, and FFRinv per protocol.
Interventions
Eligibility Criteria
You may qualify if:
- Patients providing written informed consent
- Scheduled to undergo clinically-indicated non-emergent invasive coronary angiography (ICA)
- Has undergone \>640 multidetector CCTA within 60 days prior to ICA
- No cardiac interventional therapy between the CCTA and ICA
You may not qualify if:
- Prior coronary artery bypass graft (CABG) surgery
- Prior percutaneous coronary intervention (PCI) for which suspected coronary artery lesion(s) are within a stented coronary vessel
- Contraindication to adenosine, including 2nd or 3rd-degree heart block; sick sinus syndrome; long QT syndrome; severe hypotension, severe asthma, severe COPD or bronchodilator-dependent COPD
- Suspicion of acute coronary syndrome (acute myocardial infarction and unstable angina)
- Recent prior myocardial infarction within 40 days of ICA
- Known complex congenital heart disease
- Prior pacemaker or internal defibrillator lead implantation
- Prosthetic heart valve
- Significant arrhythmia or tachycardia
- Impaired chronic renal function (serum creatinine \>1.5 mg/dl
- Patients with known anaphylactic allergy to iodinated contrast
- Pregnancy or unknown pregnancy status
- Body mass index \>35
- Patient requires an emergent procedure
- Evidence of ongoing or active clinical instability, including acute chest pain (sudden onset), cardiogenic shock, unstable blood pressure with systolic blood pressure \<90 mmHg, and severe congestive heart failure (NYHA III or IV) or acute pulmonary edema
- +2 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Daria Gognieva
Moscow, 127540, Russia
Related Publications (1)
Gognieva D, Gamilov T, Pryamonosov R, Betelin V, Ternovoy SK, Serova NS, Abugov S, Shchekochikhin D, Mitina Y, El-Manaa H, Kopylov P. One-Dimensional Mathematical Model-Based Automated Assessment of Fractional Flow Reserve in a Patient with Silent Myocardial Ischemia. Am J Case Rep. 2018 Jun 20;19:724-728. doi: 10.12659/AJCR.908449.
PMID: 29921835BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Daria Gognieva, MD
I.M. Sechenov First Moscow State Medical University (Sechenov University)
- STUDY DIRECTOR
Philipp Kopylov, Professor
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
December 22, 2018
First Posted
January 8, 2019
Study Start
April 5, 2017
Primary Completion
June 5, 2019
Study Completion
July 5, 2019
Last Updated
May 18, 2020
Record last verified: 2020-05
Data Sharing
- IPD Sharing
- Will not share
Data disclosure is not permitted by the local ethics committee. For more information about the study, you need to contact the principal investigator.