Role of On-site CT-derived FFR in the Management of Suspect CAD Patients (TARGET)
The Effect of On-site CT-derived Fractional Flow Reserve on the Management Making for the Patients With Stable Chest Pain (TARGET Trial)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Junjie Yang, MD
- Phone Number: 86-13581662680
- Email: Fearlessyang@126.com
Study Contact Backup
- Name: Dongkai Shan, MD
- Phone Number: 86-15910616698
- Email: shandongkai1234@163.com
Study Locations
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Beijing
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Beijing, Beijing, China, 100853
- Chinese PLA General Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- New-onset chest pain suspicious for CAD
- Coronary CTA result showed that the diameter stenosis is between 30 and 90% in at least one major coronary artery (coronary artery diameter ≥ 2.5 mm)
- Intermediate-to-high pretest probability of CAD based on CAD Consortium Score
- No prior evaluation for this episode of symptoms
- Agree to participate in this clinical study and sign written informed consent
Exclusion Criteria:
- Diagnosed or suspected acute coronary syndrome requiring hospitalization or emergent testing
- Hemodynamically or clinically unstable condition systolic blood pressure < 90 mmHg or serious atrial or ventricular arrhythmias
- Known CAD with prior myocardial infarction, percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG), or any angiographic evidence of ≥ 50% stenosis in any major coronary artery
- Patients with left main branch stenosis ≥ 50% or major coronary artery stenosis > 90%
- Known severe congenital, valvular (moderate and above), or cardiomyopathy process (hypertrophic cardiomyopathy or reduced systolic left ventricular function ≤ 40%) which could explain cardiac symptoms
- Unable to provide written informed consent or participate in long-term follow-up.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: CTA/CT-FFR care group
If the subjects are randomly allocated to CT-FFR arm, they will be examined by on-site DeepFFR for three major epicardial coronary arteries.
If the result of CT-FFR calculation is less than or equal to 0.8 in one or more major coronary arteries, the patient will be referred to ICA directly; if the result of CT-FFR value is more than 0.8, optimal medical therapy will be recommended.
The decision on the mode of revascularization is left to the treating cardiologists and depends on local practice standard.
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When subjects are randomized to the CTA/CT-FFR arm, FFR based on the coronary CTA imaging will be measured.
DEEPVESSEL FFR workstation is very dedicated software utilizing the original CTA imaging to meter simulated FFR values based on a machine learning algorithm.
The first step is to extract a 3D coronary artery model and generate coronary centerlines which are similar to the routine reconstruction of coronary CTA.
The centerlines are extracted using a minimal path extraction filter.
Then a novel path-based deep learning model, referred to DEEPVESSEL FFR, is used to predict the simulated FFR values on the vascular centerlines.
Deep learning algorithm is used to establish characteristic sample database of coronary hemodynamics characteristic parameters.
When deep training model is proved to be valid, it is applied to a new lesion-specific measurement.
Lesion-specific CT-FFR is defined as simulated FFR value at distance of 20mm away from the lesion of interest.
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No Intervention: Routine clinically-indicated diagnostic care group
If the subjects are randomized to usual care arm, attending physicians will decide the next step of diagnosis and treatment, such as exercise ECG, stress cardiac echo, cardiac MR, and SPECT.
According to the results of examination combined with risk factors assessment and clinical manifestations, physicians should provide recommendation whether the subjects would undergo ICA or not.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Number of Participants With ICA Without Obstructive CAD or Intervention
Time Frame: 90 days
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Number of those patients with planned ICA in whom no significant obstructive CAD (no stenosis≥70% by core lab quantitative analysis or invasive FFR≤0.8) is found or interventions (including stent implantation, balloon dilation and bypass graft) are performed during ICA within 90 days.
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90 days
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Number of Participant With Major Adverse Cardiovascular Event
Time Frame: 12 months
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Major adverse cardiovascular event include death, myocardial infarction (MI), major complications from cardiovascular (CV) procedures or testing, and unstable angina hospitalization
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12 months
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Medical Expenditure
Time Frame: 12 months
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Overall cardiac medical expenditure by intention to treat at both 90 days and 12 months cumulatively
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12 months
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Patient Reporting Outcomes
Time Frame: Study entry, 3 months, 6 months and12 months
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Patient reporting outcomes as measured by Seattle Angina Questionnaire-7(SAQ-7) Scale, use SAQ-7-item instrument that measures patient reported symptoms, function and quality of life for subjects with CAD within 12 months.
The SAQ-7 score is calculated as the average of the physical limitation score, quality of life score and angina frequency score.
The physical limitation score, quality of life score and angina frequency score range from 0 to 100 each.
Therefore, the SAQ-7 score also ranges from 0 to 100.The higher the SAQ-7 socre, physical limitation score, quality of life score and angina frequency score are, the better the quality of life for patients with angina.
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Study entry, 3 months, 6 months and12 months
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Cumulative Radiation Exposure
Time Frame: 90 days, 12 months
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Cumulative radiation exposure for any examination within 90 days and 12 months.
Due to not enough data acquired, the investigators decided not to report at this time
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90 days, 12 months
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Yundai Chen, Ph.D., Chinese PLA General Hospital
Publications and helpful links
General Publications
- Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, Erglis A, Lin FY, Dunning AM, Apruzzese P, Budoff MJ, Cole JH, Jaffer FA, Leon MB, Malpeso J, Mancini GB, Park SJ, Schwartz RS, Shaw LJ, Mauri L. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 2012 Sep 26;308(12):1237-45. doi: 10.1001/2012.jama.11274.
- Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning A, DeFrance T, Lansky A, Leipsic J, Min JK. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol. 2011 Nov 1;58(19):1989-97. doi: 10.1016/j.jacc.2011.06.066.
- Norgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, Jensen JM, Mauri L, De Bruyne B, Bezerra H, Osawa K, Marwan M, Naber C, Erglis A, Park SJ, Christiansen EH, Kaltoft A, Lassen JF, Botker HE, Achenbach S; NXT Trial Study Group. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol. 2014 Apr 1;63(12):1145-1155. doi: 10.1016/j.jacc.2013.11.043. Epub 2014 Jan 30.
- Douglas PS, De Bruyne B, Pontone G, Patel MR, Norgaard BL, Byrne RA, Curzen N, Purcell I, Gutberlet M, Rioufol G, Hink U, Schuchlenz HW, Feuchtner G, Gilard M, Andreini D, Jensen JM, Hadamitzky M, Chiswell K, Cyr D, Wilk A, Wang F, Rogers C, Hlatky MA; PLATFORM Investigators. 1-Year Outcomes of FFRCT-Guided Care in Patients With Suspected Coronary Disease: The PLATFORM Study. J Am Coll Cardiol. 2016 Aug 2;68(5):435-445. doi: 10.1016/j.jacc.2016.05.057.
- Fairbairn TA, Nieman K, Akasaka T, Norgaard BL, Berman DS, Raff G, Hurwitz-Koweek LM, Pontone G, Kawasaki T, Sand NP, Jensen JM, Amano T, Poon M, Ovrehus K, Sonck J, Rabbat M, Mullen S, De Bruyne B, Rogers C, Matsuo H, Bax JJ, Leipsic J, Patel MR. Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the ADVANCE Registry. Eur Heart J. 2018 Nov 1;39(41):3701-3711. doi: 10.1093/eurheartj/ehy530.
- Norgaard BL, Hjort J, Gaur S, Hansson N, Botker HE, Leipsic J, Mathiassen ON, Grove EL, Pedersen K, Christiansen EH, Kaltoft A, Gormsen LC, Maeng M, Terkelsen CJ, Kristensen SD, Krusell LR, Jensen JM. Clinical Use of Coronary CTA-Derived FFR for Decision-Making in Stable CAD. JACC Cardiovasc Imaging. 2017 May;10(5):541-550. doi: 10.1016/j.jcmg.2015.11.025. Epub 2016 Apr 13.
- Colleran R, Douglas PS, Hadamitzky M, Gutberlet M, Lehmkuhl L, Foldyna B, Woinke M, Hink U, Nadjiri J, Wilk A, Wang F, Pontone G, Hlatky MA, Rogers C, Byrne RA. An FFRCT diagnostic strategy versus usual care in patients with suspected coronary artery disease planned for invasive coronary angiography at German sites: one-year results of a subgroup analysis of the PLATFORM (Prospective Longitudinal Trial of FFRCT: Outcome and Resource Impacts) study. Open Heart. 2017 Mar 22;4(1):e000526. doi: 10.1136/openhrt-2016-000526. eCollection 2017.
- Collet C, Onuma Y, Andreini D, Sonck J, Pompilio G, Mushtaq S, La Meir M, Miyazaki Y, de Mey J, Gaemperli O, Ouda A, Maureira JP, Mandry D, Camenzind E, Macron L, Doenst T, Teichgraber U, Sigusch H, Asano T, Katagiri Y, Morel MA, Lindeboom W, Pontone G, Luscher TF, Bartorelli AL, Serruys PW. Coronary computed tomography angiography for heart team decision-making in multivessel coronary artery disease. Eur Heart J. 2018 Nov 1;39(41):3689-3698. doi: 10.1093/eurheartj/ehy581.
- Norgaard BL, Terkelsen CJ, Mathiassen ON, Grove EL, Botker HE, Parner E, Leipsic J, Steffensen FH, Riis AH, Pedersen K, Christiansen EH, Maeng M, Krusell LR, Kristensen SD, Eftekhari A, Jakobsen L, Jensen JM. Coronary CT Angiographic and Flow Reserve-Guided Management of Patients With Stable Ischemic Heart Disease. J Am Coll Cardiol. 2018 Oct 30;72(18):2123-2134. doi: 10.1016/j.jacc.2018.07.043. Epub 2018 Aug 25.
- Jensen JM, Botker HE, Mathiassen ON, Grove EL, Ovrehus KA, Pedersen KB, Terkelsen CJ, Christiansen EH, Maeng M, Leipsic J, Kaltoft A, Jakobsen L, Sorensen JT, Thim T, Kristensen SD, Krusell LR, Norgaard BL. Computed tomography derived fractional flow reserve testing in stable patients with typical angina pectoris: influence on downstream rate of invasive coronary angiography. Eur Heart J Cardiovasc Imaging. 2018 Apr 1;19(4):405-414. doi: 10.1093/ehjci/jex068.
- Yang J, Shan D, Dong M, Wang Z, Ma X, Hu X, Zeng H, Chen Y. The effect of on-site CT-derived fractional flow reserve on the management of decision making for patients with stable chest pain (TARGET trial): objective, rationale, and design. Trials. 2020 Aug 20;21(1):728. doi: 10.1186/s13063-020-04649-9.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- S2019-025-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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