Impact of Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes (PRIME-CT)
Impact of Stenosis and Plaque Features in Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes After Invasive Coronary Angiography
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
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Select
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Seoul, Select, Korea, Republic of, 03080
- Recruiting
- Seoul National University Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
1) Deferral of PCI group
Inclusion Criteria:
- Age ≥ 20 years
- Patients who undergo CCTA within 90 days before FFR measurement by clinical needs
- Patients with a vessel determined to defer revascularization after FFR measurement.
Exclusion Criteria:
- Left ventricular ejection fraction < 35%
- Acute ST-elevation myocardial infarction within 72 hours or previous coronary artery bypass graft surgery
- Abnormal epicardial coronary flow (TIMI flow < 3)
- Failed FFR measurement
- Planned coronary artery bypass graft surgery after diagnostic angiography
- Poor quality of CCTA which is unsuitable for plaque analysis
- Patients with a stent in the target vessel
2) PCI group
Inclusion Criteria:
- Age ≥ 20 years
- Patients who undergo CCTA within 90 days before FFR measurement by clinical needs
Patients with a vessel that undergo stent implantation and FFR measurement both before and after revascularization (pre-PCI FFR and post-PCI FFR).
- Patients with multiple vessels that meet inclusion criteria of the deferral of PCI group and PCI group will be assigned to the PCI group.
Exclusion Criteria:
- Left ventricular ejection fraction < 35%
- Acute ST-elevation myocardial infarction within 72 hours or previous coronary artery bypass graft surgery
- Abnormal epicardial coronary flow (TIMI flow < 3)
- Failed FFR measurement
- Planned coronary artery bypass graft surgery after diagnostic angiography
- Poor quality of CCTA which is unsuitable for plaque analysis
- Patients with a stent in the target vessel
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Deferral of PCI group
Patients with a vessel determined to defer revascularization after FFR measurement who undergo CCTA within 90 days before FFR measurement will be included.
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PCI group
Patients with a vessel that undergo stent implantation and FFR measurement both before and after revascularization (pre-PCI FFR and post-PCI FFR) with available coronary CT angiography within 90 days before FFR measurement will be included.
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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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Adverse cardiovascular event according to stenosis and plaque features (Deferral group).
Time Frame: Upto 2 years after index procedure
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A composite of cardiac death, vessel-related myocardial infarction (MI), or vessel-related ischemia-driven revascularization.
The target vessel will be defined as the vessel with FFR measurement.
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Upto 2 years after index procedure
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Adverse cardiovascular event according to pre-PCI FFR in vessels with low post-PCI FFR (PCI group).
Time Frame: Upto 2 years after index procedure
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A composite of cardiac death, vessel-related myocardial infarction (MI), or vessel-related ischemia-driven revascularization.
The target vessel will be defined as the vessel with FFR measurement.
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Upto 2 years after index procedure
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Additive prognostic value of stenosis and plaque features on CCTA over FFR in prediction of adverse cardiovascular events (Deferral group).
Time Frame: Upto 2 years after index procedure
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Comparison of outcome discrimination ability.
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Upto 2 years after index procedure
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Comprehensive risk prediction model by integrating stenosis and plaque features, local hemodynamic parameters (Deferral group).
Time Frame: Upto 2 years after index procedure
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Risk prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Clinical events and plaque and physiologic characteristics by medication history including antiplatelet agents and statin and serum lipid level during follow-up (Deferral group).
Time Frame: Upto 2 years after index procedure
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Changes in lesion characteristics and outcome by medication history.
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Upto 2 years after index procedure
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Prognostic value of CT-defined pericoronary and epicardial fat metrics (fat attenuation index [FAI], epicardial fat attenuation index [EFAI], and epicardial fat volume [EFV]) (Deferral group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of fat metrics.
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Upto 2 years after index procedure
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Risk prediction model by stenosis and plaque features, local hemodynamic parameters, and fat metrics and physiologic assessment (delta FFR and FFR) (Deferral group).
Time Frame: Upto 2 years after index procedure
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Risk prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Risk of adverse cardiovascular events according to pre-PCI FFR (PCI group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of pre-PCI FFR after PCI.
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Upto 2 years after index procedure
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Prognostic impact of stenosis and plaque features on CCTA, local hemodynamic parameters (PCI group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of stenosis and plaque features on CCTA after PCI.
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Upto 2 years after index procedure
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Comprehensive risk prediction model by integrating stenosis and plaque features on CCTA and physiologic assessment before and after PCI (PCI group).
Time Frame: Upto 2 years after index procedure
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Risk prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Clinical events and plaque and physiologic characteristics by medication history including antiplatelet agents and statin and serum lipid level during follow-up (PCI group).
Time Frame: Upto 2 years after index procedure
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Changes in lesion characteristics and outcome by medication history.
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Upto 2 years after index procedure
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Prognostic value of CT-defined pericoronary and epicardial fat metrics (FAI, EFAI, EFV) (PCI group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of fat metrics.
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Upto 2 years after index procedure
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Risk prediction model by stenosis and plaque features, local hemodynamic parameters, and fat metrics and physiologic assessment (delta FFR and FFR) (PCI group).
Time Frame: Upto 2 years after index procedure
|
Risk prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Comparison of risk for future events by comprehensive CCTA analysis and physiologic assessment between the deferral of PCI and PCI group (Whole population).
Time Frame: Upto 2 years after index procedure
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Risk comparison and prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Relationship among FFR values, CT-derived plaque qualification and quantification, and CT-defined pericoronary and epicardial fat metrics including FAI, EFAI, and EFV (Whole population).
Time Frame: Upto 2 years after index procedure
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Association among CCTA parameters and physiologic indices.
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Upto 2 years after index procedure
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van' t Veer M, Klauss V, Manoharan G, Engstrom T, Oldroyd KG, Ver Lee PN, MacCarthy PA, Fearon WF; FAME Study Investigators. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med. 2009 Jan 15;360(3):213-24. doi: 10.1056/NEJMoa0807611.
- 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.
- Xaplanteris P, Fournier S, Pijls NHJ, Fearon WF, Barbato E, Tonino PAL, Engstrom T, Kaab S, Dambrink JH, Rioufol G, Toth GG, Piroth Z, Witt N, Frobert O, Kala P, Linke A, Jagic N, Mates M, Mavromatis K, Samady H, Irimpen A, Oldroyd K, Campo G, Rothenbuhler M, Juni P, De Bruyne B; FAME 2 Investigators. Five-Year Outcomes with PCI Guided by Fractional Flow Reserve. N Engl J Med. 2018 Jul 19;379(3):250-259. doi: 10.1056/NEJMoa1803538. Epub 2018 May 22.
- Driessen RS, Stuijfzand WJ, Raijmakers PG, Danad I, Min JK, Leipsic JA, Ahmadi A, Narula J, van de Ven PM, Huisman MC, Lammertsma AA, van Rossum AC, van Royen N, Knaapen P. Effect of Plaque Burden and Morphology on Myocardial Blood Flow and Fractional Flow Reserve. J Am Coll Cardiol. 2018 Feb 6;71(5):499-509. doi: 10.1016/j.jacc.2017.11.054.
- Motoyama S, Ito H, Sarai M, Kondo T, Kawai H, Nagahara Y, Harigaya H, Kan S, Anno H, Takahashi H, Naruse H, Ishii J, Hecht H, Shaw LJ, Ozaki Y, Narula J. Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up. J Am Coll Cardiol. 2015 Jul 28;66(4):337-46. doi: 10.1016/j.jacc.2015.05.069.
- Ahmadi A, Leipsic J, Ovrehus KA, Gaur S, Bagiella E, Ko B, Dey D, LaRocca G, Jensen JM, Botker HE, Achenbach S, De Bruyne B, Norgaard BL, Narula J. Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis. JACC Cardiovasc Imaging. 2018 Apr;11(4):521-530. doi: 10.1016/j.jcmg.2017.11.020. Epub 2018 Jan 5.
- Pijls NH, De Bruyne B, Peels K, Van Der Voort PH, Bonnier HJ, Bartunek J Koolen JJ, Koolen JJ. Measurement of fractional flow reserve to assess the functional severity of coronary-artery stenoses. N Engl J Med. 1996 Jun 27;334(26):1703-8. doi: 10.1056/NEJM199606273342604.
- Stone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, Mintz GS, Mehran R, McPherson J, Farhat N, Marso SP, Parise H, Templin B, White R, Zhang Z, Serruys PW; PROSPECT Investigators. A prospective natural-history study of coronary atherosclerosis. N Engl J Med. 2011 Jan 20;364(3):226-35. doi: 10.1056/NEJMoa1002358. Erratum In: N Engl J Med. 2011 Nov 24;365(21):2040.
- Hwang D, Lee JM, Yang S, Chang M, Zhang J, Choi KH, Kim CH, Nam CW, Shin ES, Kwak JJ, Doh JH, Hoshino M, Hamaya R, Kanaji Y, Murai T, Zhang JJ, Ye F, Li X, Ge Z, Chen SL, Kakuta T, Koo BK. Role of Post-Stent Physiological Assessment in a Risk Prediction Model After Coronary Stent Implantation. JACC Cardiovasc Interv. 2020 Jul 27;13(14):1639-1650. doi: 10.1016/j.jcin.2020.04.041.
- Lee JM, Choi G, Koo BK, Hwang D, Park J, Zhang J, Kim KJ, Tong Y, Kim HJ, Grady L, Doh JH, Nam CW, Shin ES, Cho YS, Choi SY, Chun EJ, Choi JH, Norgaard BL, Christiansen EH, Niemen K, Otake H, Penicka M, de Bruyne B, Kubo T, Akasaka T, Narula J, Douglas PS, Taylor CA, Kim HS. Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics. JACC Cardiovasc Imaging. 2019 Jun;12(6):1032-1043. doi: 10.1016/j.jcmg.2018.01.023. Epub 2018 Mar 14. Erratum In: JACC Cardiovasc Imaging. 2019 Nov;12(11 Pt 1):2288-2289.
- Lee JM, Koo BK, Shin ES, Nam CW, Doh JH, Hwang D, Park J, Kim KJ, Zhang J, Hu X, Wang J, Ahn C, Ye F, Chen S, Yang J, Chen J, Tanaka N, Yokoi H, Matsuo H, Takashima H, Shiono Y, Akasaka T. Clinical implications of three-vessel fractional flow reserve measurement in patients with coronary artery disease. Eur Heart J. 2018 Mar 14;39(11):945-951. doi: 10.1093/eurheartj/ehx458.
- Maron DJ, Hochman JS, Reynolds HR, Bangalore S, O'Brien SM, Boden WE, Chaitman BR, Senior R, Lopez-Sendon J, Alexander KP, Lopes RD, Shaw LJ, Berger JS, Newman JD, Sidhu MS, Goodman SG, Ruzyllo W, Gosselin G, Maggioni AP, White HD, Bhargava B, Min JK, Mancini GBJ, Berman DS, Picard MH, Kwong RY, Ali ZA, Mark DB, Spertus JA, Krishnan MN, Elghamaz A, Moorthy N, Hueb WA, Demkow M, Mavromatis K, Bockeria O, Peteiro J, Miller TD, Szwed H, Doerr R, Keltai M, Selvanayagam JB, Steg PG, Held C, Kohsaka S, Mavromichalis S, Kirby R, Jeffries NO, Harrell FE Jr, Rockhold FW, Broderick S, Ferguson TB Jr, Williams DO, Harrington RA, Stone GW, Rosenberg Y; ISCHEMIA Research Group. Initial Invasive or Conservative Strategy for Stable Coronary Disease. N Engl J Med. 2020 Apr 9;382(15):1395-1407. doi: 10.1056/NEJMoa1915922. Epub 2020 Mar 30.
- Lee JM, Choi KH, Koo BK, Park J, Kim J, Hwang D, Rhee TM, Kim HY, Jung HW, Kim KJ, Yoshiaki K, Shin ES, Doh JH, Chang HJ, Cho YK, Yoon HJ, Nam CW, Hur SH, Wang J, Chen S, Kuramitsu S, Tanaka N, Matsuo H, Akasaka T. Prognostic Implications of Plaque Characteristics and Stenosis Severity in Patients With Coronary Artery Disease. J Am Coll Cardiol. 2019 May 21;73(19):2413-2424. doi: 10.1016/j.jacc.2019.02.060.
- Gaur S, Ovrehus KA, Dey D, Leipsic J, Botker HE, Jensen JM, Narula J, Ahmadi A, Achenbach S, Ko BS, Christiansen EH, Kaltoft AK, Berman DS, Bezerra H, Lassen JF, Norgaard BL. Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions. Eur Heart J. 2016 Apr 14;37(15):1220-7. doi: 10.1093/eurheartj/ehv690. Epub 2016 Jan 12.
- Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Hutt Centeno E, Thomas S, Herdman L, Kotanidis CP, Thomas KE, Griffin BP, Flamm SD, Antonopoulos AS, Shirodaria C, Sabharwal N, Deanfield J, Neubauer S, Hopewell JC, Channon KM, Achenbach S, Antoniades C. Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. Lancet. 2018 Sep 15;392(10151):929-939. doi: 10.1016/S0140-6736(18)31114-0. Epub 2018 Aug 28.
- Hoshino M, Yang S, Sugiyama T, Zhang J, Kanaji Y, Yamaguchi M, Hada M, Sumino Y, Horie T, Nogami K, Ueno H, Misawa T, Usui E, Murai T, Lee T, Yonetsu T, Kakuta T. Peri-coronary inflammation is associated with findings on coronary computed tomography angiography and fractional flow reserve. J Cardiovasc Comput Tomogr. 2020 Nov-Dec;14(6):483-489. doi: 10.1016/j.jcct.2020.02.002. Epub 2020 Feb 6.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
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
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- H-2007-201-1144
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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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