iNav-based, Automated Coronary Magnetic Resonance Angiography for the Detection of Coronary Artery Stenosis
NCT ID: NCT05473117
Last Updated: 2023-06-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
160 participants
OBSERVATIONAL
2024-06-30
2026-12-31
Brief Summary
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At present there are 2 main methods of identifying narrowing of the arteries. The first is an invasive procedure, the other using a CT scan. Whilst both methods are effective, they entail risk. The invasive procedure can damage the coronary arteries, whilst the CT scan exposes patients to radiation and contrast, which can increase the risk of cancer and allergic reactions.
Magnetic Resonance (MR) scanning is an alternative to these methods, but it has been limited in use in the past due, in part, to the high technical knowledge required to obtain images. In addition, there is a degree of subjectivity in the selection of the mid-diastolic rest period, potentially affecting consistency of results. This means it is difficult to use in a day-to-day hospital environment. However, recent technological developments using artificial intelligence mean that images can be acquired in a more automated and consistent fashion. This new scan has yet to be tested in a clinical trial.
Therefore, the objective of the clinical study is to test this new scan to determine its efficacy. 230 patients at 5 sites at risk of coronary artery disease, who have been referred for invasive coronary angiography, will undergo both their angiography and the new MR scan. The MR scan will then be compared to CCTA for diagnostic accuracy and image quality.
The investigators hypothesise that the new MR scan will have the same diagnostic accuracy as invasive coronary angiography, with no differences in interpretation of the images across the 5 different hospitals.
If proven effective, this would demonstrate that MR scanning of the coronary arteries could prove a safe, clinically useful alternative to both CT scanning and invasive assessment of coronary artery narrowing. In addition, if there is no difference across different locations, it would demonstrate that these scans can be performed consistently, facilitating implementation on a healthcare-system wide basis.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Patient Group
A single cohort consisting of 230 patients referred for CT Coronary Angiography (CCTA) at risk of coronary artery disease. All patients will undergo both CCTA and CMRA
Coronary Magnetic Resonance Angiography (CMRA)
A highly optimised CMRA protocol integrating advanced, automated software for detection of coronary artery stenosis
Interventions
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Coronary Magnetic Resonance Angiography (CMRA)
A highly optimised CMRA protocol integrating advanced, automated software for detection of coronary artery stenosis
Eligibility Criteria
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Inclusion Criteria
* Subject has provided informed written consent
* BMI \< 35
* Sinus Rhythm
* Stable symptom at time of inclusion
* Undergoing CCTA within 28 days
Exclusion Criteria
* Previous coronary revascularisation
* Inability to take sublingual nitroglycerin
* Irregular heart rate
18 Years
ALL
No
Sponsors
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Aarhus University Hospital
OTHER
Responsible Party
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Gregory Wood
Dr
Principal Investigators
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Won Yong Kim
Role: STUDY_CHAIR
Department of Cardiology, Aarhus University Hospital
Locations
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Aarhus University Hospital
Aarhus, , Denmark
Countries
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Central Contacts
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Facility Contacts
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References
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Wood G, Hajhosseiny R, Pedersen AU, Littlewood S, Hansen TJ, Neji R, Kunze KP, Wetzl J, Norgaard BL, Jensen JM, Maeng M, Madsen PL, Vejlstrup N, Prieto C, Botnar RM, Kim WY. Image navigator-based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis. J Cardiovasc Magn Reson. 2024 Winter;26(2):101097. doi: 10.1016/j.jocmr.2024.101097. Epub 2024 Sep 16.
Other Identifiers
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iNav-AUTO CMRA
Identifier Type: -
Identifier Source: org_study_id
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