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Dynamic Computed Tomography Myocardial Perfusion Imaging for Detection of Coronary Artery Disease
The Safety, Feasibility and Accuracy of Dynamic Computed Tomography Myocardial Perfusion Imaging for Detection of Coronary Artery Disease
1 other identifier
interventional
N/A
1 country
1
Brief Summary
Coronary artery computed tomographic angiography (CTA) is a widely used, highly accurate technique for the detection of coronary artery disease (CAD), with sensitivity and negative predictive values of over 90% (1-4). Patients with normal CTA findings have an excellent prognosis and do not require further testing for CAD (5). However, like invasive coronary angiography (QCA), CTA is an anatomic test and, unless lesions are very severe (\>90% stenosis), cannot reliably predict the impairment of flow (functional significance) of intermediate grade stenoses. For this reason, in approximately 15-25% of patients, additional functional testing may be required after CTA, usually in the form of stress testing (6-8). Stress testing is commonly done by exercise or pharmacologic stress with electrocardiographic monitoring and often, imaging of myocardial perfusion by nuclear scintigraphy (MPI) or detection of abnormal contraction by echocardiography. This requires a separate procedure, entailing time, expense and limited risk. Furthermore, in patients with previously known CAD, CTA alone is not an adequate test, because in most cases there are multiple lesions that are possible sources of ischemia. Over the last 10 years, these investigators and others around the world have developed a method of imaging myocardial perfusion by CT (CTP). This test is an adjunct to the usual Cardiac Computed Tomography Angiography (CCTA) procedure and can be done immediately thereafter, using conventional pharmacologic stress agents. It has demonstrated accuracy in many single center trials, and in this large multicenter study, the CORE320 trial (9,10) which showed a high accuracy in predicting the combined results of QCA plus MPI testing and a second multicenter trial established non-inferiority of myocardial CTP compared with nuclear stress testing (11,12). Additionally, this investigator group has published a direct comparison of diagnostic performance of myocardial CTP imaging and SPECT myocardial perfusion imaging and demonstrated superior diagnostic performance of CTP imaging compared with SPECT for the diagnosis of significant disease on invasive angiography (13). CTP images can be acquired with two different approaches: static or dynamic. In the CORE320 study, the CTP protocol used static acquisition method. The static CTP method, samples a snapshot of the iodine distribution in the blood pool and the myocardium over a short period of time, targeting either the upslope or the peak of contrast bolus. The notion behind this is that, at the upslope of the contrast, the difference in attenuation value of the ischemic and remote myocardium is at the maximum which enables for qualitative and semi-quantitative assessment of myocardial perfusion defects. The static CTP, however, does not allow for direct quantification of the myocardial blood flow (MBF). One of the drawbacks of static CTP lies in the acquirement of only one sample of data and the possibility of mistiming of the contrast bolus that results in poor contrast-to-tissue ratios by missing the peak attenuation (14). Output and flow rate of the contrast material may affect bolus timing. In addition, the acquisition of data from sequential heartbeats affects the attenuation gradient and may result in a heterogeneous iodine distribution, mimicking perfusion defects (15). Furthermore, the static CTP is limited in detection of balanced ischemia, where the perfusion of the entire myocardium is impaired and therefore there is no reference remote myocardium for comparison for semi-quantitative or qualitative static methods of CTP interpretation. Dynamic CT perfusion imaging uses serial imaging over time to record the kinetics of iodinated contrast in the arterial blood pool and myocardium. This technique allows for multiple sampling of the myocardium and the blood pool and creating time attenuation curves (TAC) by measuring the change in CT attenuation over time. Mathematical modelling of TACs permits for direct quantification of MBF. Despite its advantages, the use of dynamic CTP were limited in the past. A high temporal resolution and high number of detectors are required for dynamic CTP to allow for entire myocardial coverage, and in order to obtain multiple consecutive images at high heart rates(16,17). But the main challenge of dynamic CTP acquisition was the high radiation dose associated with this technique. Nevertheless, with the introduction of the cutting-edge 320 detector CT scanning systems with fast gantry rotation the issue of the cardiac coverage is eliminated(17). The second-generation 320-row scanners also permit the quantification of the MBF with dynamic CTP acquisition with relatively low-dose of radiation(18,19). In this study the investigators aim to evaluate the feasibility, safety and accuracy of the low-radiation dose dynamic myocardial CT perfusion compared to static CTP approach to detect hemodynamically significant coronary artery disease.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started Mar 2018
Typical duration for not_applicable coronary-artery-disease
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 17, 2017
CompletedFirst Posted
Study publicly available on registry
October 27, 2017
CompletedStudy Start
First participant enrolled
March 30, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 8, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
May 8, 2022
CompletedFebruary 16, 2024
February 1, 2024
4.1 years
October 17, 2017
February 14, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Incidence of treatment-emergent adverse events (Safety and tolerability)
Occurrence of treatment emergent adverse events including allergic reactions, adverse reactions to pharmacologic stress agents, contrast induced nephropathy
30 days post procedure
Secondary Outcomes (11)
The Area Under Receiver Operating Characteristics Curve (AUC) of combined CTA-dynamic CTP for detection of hemodynamically significant coronary artery stenosis at the patient level
At the day of procedure
The Area Under Receiver Operating Characteristics Curve (AUC) of dynamic CTP for detection of a perfusion defect at the patient level
At the day of procedure
The Area Under Receiver Operating Characteristics Curve (AUC) of combined CTA-dynamic CTP for detection of hemodynamically significant coronary artery stenosis at the vessel level.
At the day of procedure
The Area Under Receiver Operating Characteristics Curve (AUC) of dynamic CTP for detection of a perfusion defect at the vessel level.
At the day of procedure
Total length of stay (hours)
1-7 days after the procedure
- +6 more secondary outcomes
Study Arms (1)
Interventional Group
EXPERIMENTALParticipants undergoing dynamic computed tomography myocardial perfusion imaging. Intervention: Diagnostic Test: Dynamic Computed Tomography Angiography Imaging
Interventions
This will be a prospective study comparing the low-dose dynamic vs. static CTP combined with the CTA for detecting hemodynamically significant coronary artery stenosis. Patients will have two 18-20 gauge intravenous lines placed for contrast administration. The following image sequences will be completed: coronary calcium scan (non-contrast), rest coronary arterial imaging (with 4-5 mL/sec intravenous ISOVUE-370 infusion), stress myocardial perfusion imaging 20 minutes after rest acquisition imaging (blood pressure will be checked then an infusion of adenosine will be started for a total of 5 minutes; after 5 minutes of adenosine infusion, CT perfusion imaging will be performed during a 4-5 mL/sec ISOVUE-370 infusion). Total estimated radiation dose: 10.551 mSv.
Eligibility Criteria
You may qualify if:
- Clinical indication for invasive coronary angiography or CT angiography
- Documented coronary artery disease defined as presence of one or more of the following:
- CAD documented by invasive coronary angiography or CT angiography
- History of typical stable angina and receiving guideline-driven therapy for coronary artery disease for ≥ 1 month prior to consent
- History of hospitalization for unstable angina with no active acute coronary syndrome within 48 hours prior to scan
- Refractory angina defined as marked limitation of ordinary physical activity or inability to perform ordinary physical activity without discomfort, with an objective evidence of myocardial ischemia and persistence of symptoms despite optimal medical therapy, life style modification treatments, and revascularization therapies
- Able to understand and willing to sign the Informed Consent Form.
You may not qualify if:
- Known allergy to iodinated contrast media
- History of contrast-induced nephropathy
- History of multiple myeloma or previous organ transplantation
- Elevated serum creatinine (\> 1.5mg/dl) OR calculated creatinine clearance of \< 60 ml/min (using the Cockcroft-Gault formula)
- Atrial fibrillation or uncontrolled tachyarrhythmia, or advanced atrioventricular block (second or third degree heart block)
- Evidence of severe symptomatic heart failure (NYHA Class III or IV); Known or suspected moderate or severe aortic stenosis
- Previous coronary artery bypass or other cardiac surgery
- Coronary artery intervention (PCI) within the last 6 months
- Known or suspected intolerance or contraindication to beta-blockers including:
- Known allergy to beta-blockers
- History of moderate to severe bronchospastic lung disease (including moderate to severe asthma)
- Severe pulmonary disease (chronic obstructive pulmonary disease) with the use of inhaled bronchodilators over the past year
- Presence of any other history or condition that the investigator feels would be problematic
- History of high radiation exposure defined as ≥2 nuclear or CT studies or ≥ 5.0 reml within 18 months prior to the scan
- Does the patient have active acute coronary syndrome within 48 hours prior to consent?
- +13 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Johns Hopkins Unversity School of Medicine
Baltimore, Maryland, 21218, United States
Related Publications (27)
Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, Scherer M, Bellinger R, Martin A, Benton R, Delago A, Min JK. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol. 2008 Nov 18;52(21):1724-32. doi: 10.1016/j.jacc.2008.07.031.
PMID: 19007693BACKGROUNDHamon M, Biondi-Zoccai GG, Malagutti P, Agostoni P, Morello R, Valgimigli M, Hamon M. Diagnostic performance of multislice spiral computed tomography of coronary arteries as compared with conventional invasive coronary angiography: a meta-analysis. J Am Coll Cardiol. 2006 Nov 7;48(9):1896-910. doi: 10.1016/j.jacc.2006.08.028. Epub 2006 Sep 26.
PMID: 17084268BACKGROUNDMeijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA, Nieman K, van Werkhoven JM, Pundziute G, Weustink AC, de Vos AM, Pugliese F, Rensing B, Jukema JW, Bax JJ, Prokop M, Doevendans PA, Hunink MG, Krestin GP, de Feyter PJ. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008 Dec 16;52(25):2135-44. doi: 10.1016/j.jacc.2008.08.058.
PMID: 19095130BACKGROUNDMiller JM, Rochitte CE, Dewey M, Arbab-Zadeh A, Niinuma H, Gottlieb I, Paul N, Clouse ME, Shapiro EP, Hoe J, Lardo AC, Bush DE, de Roos A, Cox C, Brinker J, Lima JA. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008 Nov 27;359(22):2324-36. doi: 10.1056/NEJMoa0806576.
PMID: 19038879BACKGROUNDAbdulla J, Asferg C, Kofoed KF. Prognostic value of absence or presence of coronary artery disease determined by 64-slice computed tomography coronary angiography a systematic review and meta-analysis. Int J Cardiovasc Imaging. 2011 Mar;27(3):413-20. doi: 10.1007/s10554-010-9652-x. Epub 2010 Jun 12.
PMID: 20549366BACKGROUNDGallagher MJ, Ross MA, Raff GL, Goldstein JA, O'Neill WW, O'Neil B. The diagnostic accuracy of 64-slice computed tomography coronary angiography compared with stress nuclear imaging in emergency department low-risk chest pain patients. Ann Emerg Med. 2007 Feb;49(2):125-36. doi: 10.1016/j.annemergmed.2006.06.043. Epub 2006 Sep 15.
PMID: 16978738BACKGROUNDGoldstein JA, Gallagher MJ, O'Neill WW, Ross MA, O'Neil BJ, Raff GL. A randomized controlled trial of multi-slice coronary computed tomography for evaluation of acute chest pain. J Am Coll Cardiol. 2007 Feb 27;49(8):863-71. doi: 10.1016/j.jacc.2006.08.064. Epub 2007 Feb 12.
PMID: 17320744BACKGROUNDGoldstein JA, Chinnaiyan KM, Abidov A, Achenbach S, Berman DS, Hayes SW, Hoffmann U, Lesser JR, Mikati IA, O'Neil BJ, Shaw LJ, Shen MY, Valeti US, Raff GL; CT-STAT Investigators. The CT-STAT (Coronary Computed Tomographic Angiography for Systematic Triage of Acute Chest Pain Patients to Treatment) trial. J Am Coll Cardiol. 2011 Sep 27;58(14):1414-22. doi: 10.1016/j.jacc.2011.03.068.
PMID: 21939822BACKGROUNDGeorge RT, Arbab-Zadeh A, Cerci RJ, Vavere AL, Kitagawa K, Dewey M, Rochitte CE, Arai AE, Paul N, Rybicki FJ, Lardo AC, Clouse ME, Lima JA. Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320-MDCT: the CT angiography and perfusion methods of the CORE320 multicenter multinational diagnostic study. AJR Am J Roentgenol. 2011 Oct;197(4):829-37. doi: 10.2214/AJR.10.5689.
PMID: 21940569BACKGROUNDRochitte CE, George RT, Chen MY, Arbab-Zadeh A, Dewey M, Miller JM, Niinuma H, Yoshioka K, Kitagawa K, Nakamori S, Laham R, Vavere AL, Cerci RJ, Mehra VC, Nomura C, Kofoed KF, Jinzaki M, Kuribayashi S, de Roos A, Laule M, Tan SY, Hoe J, Paul N, Rybicki FJ, Brinker JA, Arai AE, Cox C, Clouse ME, Di Carli MF, Lima JA. Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study. Eur Heart J. 2014 May;35(17):1120-30. doi: 10.1093/eurheartj/eht488. Epub 2013 Nov 19.
PMID: 24255127BACKGROUNDCury RC, Kitt TM, Feaheny K, Blankstein R, Ghoshhajra BB, Budoff MJ, Leipsic J, Min JK, Akin J, George RT. A randomized, multicenter, multivendor study of myocardial perfusion imaging with regadenoson CT perfusion vs single photon emission CT. J Cardiovasc Comput Tomogr. 2015 Mar-Apr;9(2):103-12.e1-2. doi: 10.1016/j.jcct.2015.01.002. Epub 2015 Jan 7.
PMID: 25726411BACKGROUNDCury RC, Kitt TM, Feaheny K, Akin J, George RT. Regadenoson-stress myocardial CT perfusion and single-photon emission CT: rationale, design, and acquisition methods of a prospective, multicenter, multivendor comparison. J Cardiovasc Comput Tomogr. 2014 Jan-Feb;8(1):2-12. doi: 10.1016/j.jcct.2013.09.004. Epub 2013 Oct 18.
PMID: 24314823BACKGROUNDGeorge RT, Mehra VC, Chen MY, Kitagawa K, Arbab-Zadeh A, Miller JM, Matheson MB, Vavere AL, Kofoed KF, Rochitte CE, Dewey M, Yaw TS, Niinuma H, Brenner W, Cox C, Clouse ME, Lima JA, Di Carli M. Myocardial CT perfusion imaging and SPECT for the diagnosis of coronary artery disease: a head-to-head comparison from the CORE320 multicenter diagnostic performance study. Radiology. 2014 Aug;272(2):407-16. doi: 10.1148/radiol.14140806. Epub 2014 May 26.
PMID: 24865312BACKGROUNDBischoff B, Bamberg F, Marcus R, Schwarz F, Becker HC, Becker A, Reiser M, Nikolaou K. Optimal timing for first-pass stress CT myocardial perfusion imaging. Int J Cardiovasc Imaging. 2013 Feb;29(2):435-42. doi: 10.1007/s10554-012-0080-y. Epub 2012 Jun 20.
PMID: 22714549BACKGROUNDDanad I, Szymonifka J, Schulman-Marcus J, Min JK. Static and dynamic assessment of myocardial perfusion by computed tomography. Eur Heart J Cardiovasc Imaging. 2016 Aug;17(8):836-44. doi: 10.1093/ehjci/jew044. Epub 2016 Mar 24.
PMID: 27013250BACKGROUNDSchuleri KH, George RT, Lardo AC. Applications of cardiac multidetector CT beyond coronary angiography. Nat Rev Cardiol. 2009 Nov;6(11):699-710. doi: 10.1038/nrcardio.2009.172.
PMID: 19851349BACKGROUNDValdiviezo C, Ambrose M, Mehra V, Lardo AC, Lima JA, George RT. Quantitative and qualitative analysis and interpretation of CT perfusion imaging. J Nucl Cardiol. 2010 Dec;17(6):1091-100. doi: 10.1007/s12350-010-9291-6.
PMID: 20924735BACKGROUNDKikuchi Y, Oyama-Manabe N, Naya M, Manabe O, Tomiyama Y, Sasaki T, Katoh C, Kudo K, Tamaki N, Shirato H. Quantification of myocardial blood flow using dynamic 320-row multi-detector CT as compared with (1)(5)O-H(2)O PET. Eur Radiol. 2014 Jul;24(7):1547-56. doi: 10.1007/s00330-014-3164-3. Epub 2014 Apr 18.
PMID: 24744200BACKGROUNDFujita M, Kitagawa K, Ito T, Shiraishi Y, Kurobe Y, Nagata M, Ishida M, Sakuma H. Dose reduction in dynamic CT stress myocardial perfusion imaging: comparison of 80-kV/370-mAs and 100-kV/300-mAs protocols. Eur Radiol. 2014 Mar;24(3):748-55. doi: 10.1007/s00330-013-3063-z. Epub 2013 Nov 22.
PMID: 24272224BACKGROUNDO'Gara PT, Kushner FG, Ascheim DD, Casey DE Jr, Chung MK, de Lemos JA, Ettinger SM, Fang JC, Fesmire FM, Franklin BA, Granger CB, Krumholz HM, Linderbaum JA, Morrow DA, Newby LK, Ornato JP, Ou N, Radford MJ, Tamis-Holland JE, Tommaso CL, Tracy CM, Woo YJ, Zhao DX. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2013 Jan 29;61(4):485-510. doi: 10.1016/j.jacc.2012.11.018. Epub 2012 Dec 17. No abstract available.
PMID: 23256913BACKGROUNDJneid H, Anderson JL, Wright RS, Adams CD, Bridges CR, Casey DE Jr, Ettinger SM, Fesmire FM, Ganiats TG, Lincoff AM, Peterson ED, Philippides GJ, Theroux P, Wenger NK, Zidar JP. 2012 ACCF/AHA focused update of the guideline for the management of patients with unstable angina/non-ST-elevation myocardial infarction (updating the 2007 guideline and replacing the 2011 focused update): a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2012 Aug 14;60(7):645-81. doi: 10.1016/j.jacc.2012.06.004. Epub 2012 Jul 16. No abstract available.
PMID: 22809746BACKGROUNDEpstein AE, DiMarco JP, Ellenbogen KA, Estes NA 3rd, Freedman RA, Gettes LS, Gillinov AM, Gregoratos G, Hammill SC, Hayes DL, Hlatky MA, Newby LK, Page RL, Schoenfeld MH, Silka MJ, Stevenson LW, Sweeney MO, Tracy CM, Epstein AE, Darbar D, DiMarco JP, Dunbar SB, Estes NA 3rd, Ferguson TB Jr, Hammill SC, Karasik PE, Link MS, Marine JE, Schoenfeld MH, Shanker AJ, Silka MJ, Stevenson LW, Stevenson WG, Varosy PD; American College of Cardiology Foundation; American Heart Association Task Force on Practice Guidelines; Heart Rhythm Society. 2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2013 Jan 22;61(3):e6-75. doi: 10.1016/j.jacc.2012.11.007. Epub 2012 Dec 19. No abstract available.
PMID: 23265327BACKGROUNDGeorge RT, Silva C, Cordeiro MA, DiPaula A, Thompson DR, McCarthy WF, Ichihara T, Lima JA, Lardo AC. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol. 2006 Jul 4;48(1):153-60. doi: 10.1016/j.jacc.2006.04.014. Epub 2006 Jun 21.
PMID: 16814661BACKGROUNDSchwarz F, Hinkel R, Baloch E, Marcus RP, Hildebrandt K, Sandner TA, Kupatt C, Hoffmann V, Wintersperger BJ, Reiser MF, Theisen D, Nikolaou K, Bamberg F. Myocardial CT perfusion imaging in a large animal model: comparison of dynamic versus single-phase acquisitions. JACC Cardiovasc Imaging. 2013 Dec;6(12):1229-38. doi: 10.1016/j.jcmg.2013.05.018. Epub 2013 Oct 23.
PMID: 24269264BACKGROUNDBamberg F, Becker A, Schwarz F, Marcus RP, Greif M, von Ziegler F, Blankstein R, Hoffmann U, Sommer WH, Hoffmann VS, Johnson TR, Becker HC, Wintersperger BJ, Reiser MF, Nikolaou K. Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging. Radiology. 2011 Sep;260(3):689-98. doi: 10.1148/radiol.11110638.
PMID: 21846761BACKGROUNDIshida M, Kitagawa K, Ichihara T, Natsume T, Nakayama R, Nagasawa N, Kubooka M, Ito T, Uno M, Goto Y, Nagata M, Sakuma H. Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT. J Cardiovasc Comput Tomogr. 2016 May-Jun;10(3):207-14. doi: 10.1016/j.jcct.2016.01.008. Epub 2016 Jan 13.
PMID: 26851149BACKGROUNDCerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS; American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation. 2002 Jan 29;105(4):539-42. doi: 10.1161/hc0402.102975. No abstract available.
PMID: 11815441BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Joao AC Lima, MD
Johns Hopkins School of Medicine
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 17, 2017
First Posted
October 27, 2017
Study Start
March 30, 2018
Primary Completion
May 8, 2022
Study Completion
May 8, 2022
Last Updated
February 16, 2024
Record last verified: 2024-02