Comparison of Cardiac Imaging Techniques for Diagnosing Coronary Artery Disease
PACIFIC
Prospective Comparison of Cardiac PET/CT, SPECT/CT Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography
2 other identifiers
observational
210
1 country
1
Brief Summary
A large number of cardiac catheterizations are performed each year, primarily to diagnose heart disease. However, a cardiac catheterization is an invasive procedure which is associated with serious complications such as heart infarction, stroke, and death. Therefore, there is a need for non-invasive procedures to diagnose coronary heart disease. The purpose of this study is, therefore, to assess the diagnostic accuracy of non-invasive cardiac imaging modalities for the detection of heart disease in patients presenting for the first time to the cardiologist with chest pain.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2012
Typical duration for all trials
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
January 1, 2012
CompletedFirst Submitted
Initial submission to the registry
January 25, 2012
CompletedFirst Posted
Study publicly available on registry
January 30, 2012
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2014
CompletedDecember 10, 2014
December 1, 2014
2.9 years
January 25, 2012
December 8, 2014
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Head to head comparison between hybrid SPECT/CTCA and PET/CTCA
A head-to-head comparison will be performed to assess the diagnostic accuracy of stress hybrid PET/CTCA and hybrid SPECT/CTCA for the detection of obstructive coronary artery disease as defined by invasive coronary angiography in combination with fractional flow reserve measurements.
Invasive coronary angiography + fractional flow reserve measurements within 1 week of the initial scans
Non-invasive imaging for risk stratification
To determine the prognostic value of CTCA, SPECT, quantitative PET, hybrid SPECT/CTCA and PET/CTCA for predicting cardiac death and nonfatal myocardial infarction.
Ten years
Improving prognostication
To compare the ability and incremental value of non-invasive stand-alone and cardiac hybrid imaging over clinical, historical and exercise test data for the prediction of all cause mortality.
Ten years
Diagnostic accuracy of CTCA, SPECT and PET
Determining the diagnostic accuracy of stand-alone cardiac imaging modalities
Invasive coronary angiography + fractional flow reserve measurements within 1 week of the initial scans
Secondary Outcomes (3)
Risk stratification
Ten years
Risk stratification
> 6 months
Risk stratification
> 6 months
Eligibility Criteria
Outpatient clinic of the VU University Medical Center hospital in Amsterdam.
You may qualify if:
- First presentation to cardiologist with suspected coronary artery disease
- No documented prior history of coronary artery disease
- Intermediate pre-test likelihood for coronary artery disease as defined by Diamond and Forrester criteria
- Clinically referred for invasive coronary angiography
- Age above 40 years
You may not qualify if:
- History of severe chronic obstructive pulmonary disease (COPD) or chronic asthma
- Pregnancy
- Renal failure ( i.e. estimated glomerular filtration rate \< 45 mL/min)
- Use of sildenafil (Viagra) or dipyridamole (Persantin) that can not be terminated.
- Contra-indications for β-blockers
- Allergic reaction to iodized contrast
- Concurrent or prior (within last 30 days) participation in other research studies using investigational drugs
- Claustrophobia
- Significant co-morbidities
- Atrial fibrillation, second or third degree atrioventricular block
- Tachycardia
- Acute myocardial infarction
- Heart failure
- Left ventricle ejection fraction estimated \< 50%
- Cardiomyopathies
- +3 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
VU University Medical Center
Amsterdam, 1081 HV, Netherlands
Related Publications (14)
Kajander S, Joutsiniemi E, Saraste M, Pietila M, Ukkonen H, Saraste A, Sipila HT, Teras M, Maki M, Airaksinen J, Hartiala J, Knuuti J. Cardiac positron emission tomography/computed tomography imaging accurately detects anatomically and functionally significant coronary artery disease. Circulation. 2010 Aug 10;122(6):603-13. doi: 10.1161/CIRCULATIONAHA.109.915009. Epub 2010 Jul 26.
PMID: 20660808BACKGROUNDDi Carli MF, Hachamovitch R. New technology for noninvasive evaluation of coronary artery disease. Circulation. 2007 Mar 20;115(11):1464-80. doi: 10.1161/CIRCULATIONAHA.106.629808. No abstract available.
PMID: 17372188BACKGROUNDGaemperli O, Husmann L, Schepis T, Koepfli P, Valenta I, Jenni W, Alkadhi H, Luscher TF, Kaufmann PA. Coronary CT angiography and myocardial perfusion imaging to detect flow-limiting stenoses: a potential gatekeeper for coronary revascularization? Eur Heart J. 2009 Dec;30(23):2921-9. doi: 10.1093/eurheartj/ehp304. Epub 2009 Aug 14.
PMID: 19684023BACKGROUNDSchuijf JD, Wijns W, Jukema JW, Atsma DE, de Roos A, Lamb HJ, Stokkel MP, Dibbets-Schneider P, Decramer I, De Bondt P, van der Wall EE, Vanhoenacker PK, Bax JJ. Relationship between noninvasive coronary angiography with multi-slice computed tomography and myocardial perfusion imaging. J Am Coll Cardiol. 2006 Dec 19;48(12):2508-14. doi: 10.1016/j.jacc.2006.05.080. Epub 2006 Nov 28.
PMID: 17174190BACKGROUNDKnaapen P, de Haan S, Hoekstra OS, Halbmeijer R, Appelman YE, Groothuis JG, Comans EF, Meijerink MR, Lammertsma AA, Lubberink M, Gotte MJ, van Rossum AC. Cardiac PET-CT: advanced hybrid imaging for the detection of coronary artery disease. Neth Heart J. 2010 Feb;18(2):90-8. doi: 10.1007/BF03091744.
PMID: 20200615BACKGROUNDPijls 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.
PMID: 8637515BACKGROUNDLevin DC. Invasive evaluation (coronary arteriography) of the coronary artery disease patient: clinical, economic and social issues. Circulation. 1982 Nov;66(5 Pt 2):III71-9.
PMID: 7127709BACKGROUNDPazhenkottil AP, Nkoulou RN, Ghadri JR, Herzog BA, Kuest SM, Husmann L, Wolfrum M, Goetti R, Buechel RR, Gaemperli O, Luscher TF, Kaufmann PA. Impact of cardiac hybrid single-photon emission computed tomography/computed tomography imaging on choice of treatment strategy in coronary artery disease. Eur Heart J. 2011 Nov;32(22):2824-9. doi: 10.1093/eurheartj/ehr232. Epub 2011 Jul 30.
PMID: 21804107BACKGROUNDGaemperli O, Bengel FM, Kaufmann PA. Cardiac hybrid imaging. Eur Heart J. 2011 Sep;32(17):2100-8. doi: 10.1093/eurheartj/ehr057. Epub 2011 Mar 15.
PMID: 21406437BACKGROUNDPazhenkottil AP, Nkoulou RN, Ghadri JR, Herzog BA, Buechel RR, Kuest SM, Wolfrum M, Fiechter M, Husmann L, Gaemperli O, Kaufmann PA. Prognostic value of cardiac hybrid imaging integrating single-photon emission computed tomography with coronary computed tomography angiography. Eur Heart J. 2011 Jun;32(12):1465-71. doi: 10.1093/eurheartj/ehr047. Epub 2011 Feb 14.
PMID: 21320906BACKGROUNDWilgenhof A, Jukema RA, Driessen RS, Danad I, Raijmakers PG, van Royen N, van Nunen LX, Collet C, de Waard GA, Knaapen P. The effect of hydrostatic pressure on invasive coronary pressure measurements: Comparison with [15O]H2O-positron emission tomography flow data. Catheter Cardiovasc Interv. 2024 Nov;104(5):980-989. doi: 10.1002/ccd.31215. Epub 2024 Sep 11.
PMID: 39258435DERIVEDArai AE. Why Should We Quantify Stress Myocardial Perfusion CMR? JACC Cardiovasc Imaging. 2024 Mar;17(3):266-268. doi: 10.1016/j.jcmg.2023.08.015. Epub 2023 Oct 18. No abstract available.
PMID: 37855801DERIVEDLin A, van Diemen PA, Motwani M, McElhinney P, Otaki Y, Han D, Kwan A, Tzolos E, Klein E, Kuronuma K, Grodecki K, Shou B, Rios R, Manral N, Cadet S, Danad I, Driessen RS, Berman DS, Norgaard BL, Slomka PJ, Knaapen P, Dey D. Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow. Circ Cardiovasc Imaging. 2022 Oct;15(10):e014369. doi: 10.1161/CIRCIMAGING.122.014369. Epub 2022 Oct 13.
PMID: 36252116DERIVEDde Waard GA, Danad I, Petraco R, Driessen RS, Raijmakers PG, Teunissen PF, van de Ven PM, van Leeuwen MAH, Nap A, Harms HJ, Lammertsma AA, Davies JE, Knaapen P, van Royen N. Fractional flow reserve, instantaneous wave-free ratio, and resting Pd/Pa compared with [15O]H2O positron emission tomography myocardial perfusion imaging: a PACIFIC trial sub-study. Eur Heart J. 2018 Dec 7;39(46):4072-4081. doi: 10.1093/eurheartj/ehy632.
PMID: 30452609DERIVED
Biospecimen
Urine and whole blood.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Paul Knaapen, MD, PhD
VU University Medical Center, ICaR-VU
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD, PhD
Study Record Dates
First Submitted
January 25, 2012
First Posted
January 30, 2012
Study Start
January 1, 2012
Primary Completion
December 1, 2014
Study Completion
December 1, 2014
Last Updated
December 10, 2014
Record last verified: 2014-12