Complementary Investigation of Perfusion and Anatomy Measures of the Heart With MRI and Combined PET/MRI
NCT ID: NCT05609214
Last Updated: 2023-12-07
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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RECRUITING
200 participants
OBSERVATIONAL
2022-11-21
2026-12-01
Brief Summary
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* to compare perfusion and anatomy measurements and perfusion related signals from PET and MR imaging and estimate its prognostic values.
* to evaluate potential optimization of routine scanning procedure with regards to completeness and potential added value of quantitative measurements.
Detailed Description
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Given this discrepancy between the professional guidelines supporting the use of stress CMR and the lack of adoption into clinical practice, there is significant interest in developing: (A) more efficient and higher quality image acquisition and (B) more automated and quantitative image analysis approaches to improve the utilization of and access to stress CMR. One such improvement is the modification of the magnetic resonance imaging (MRI) pulse sequence currently used to assess myocardial perfusion so that it can also simultaneously be used to provide the information necessary to quantify myocardial blood flow \[11\]. Indeed when combined with a specially designed image analysis software, this modified pulse sequence provides images that can be used to automatically quantify myocardial blood flow on a pixel-by-pixel basis \[12\].
Further improvements in the software used to acquire and analyse stress CMR images are needed to make this important diagnostic tool more accessible to patients that would benefit from it.
Hence, the primary goal of this study is to compare in a larger patient sample perfusion and metabolism assessed by MR or complimentary by PET and MR in terms of identifying individuals with myocardial perfusion defects. Furthermore, in those patients where cardiac CT and invasive coro-nary angiography data is available (from clinical routine examinations), complimentary anatomy and perfusion measures of CT, PET, coronary angiography, and MR measurements will be assessed as well. Within this study a comparison of various assessments and possible readouts will be compared with regards values and parameters received. Typical readouts used in clinical routine and available automated algorithms will be used. The goal is to evaluate current clinical protocols, its benefits and potential optimization.
Additionally, this study will submit data into a multicentric data registry in order to efficiently test and validate potential of future technological developments in CMR. Therefore, the de-identified images and raw data acquired will be collected from multiple centers and stored at a HIPAA-compliant repository at University of Chicago Medicine and the University of Virginia. The images which would fulfill the criteria for this register will be further processed. The de-identified imaging and clinical data will be distributed to a Core Laboratory located at McGill University (Montreal, Canada) and also to other academic partners for image processing, image analysis, and software development. Additionally, downstream testing and patient outcomes will be collected as pilot data towards determining the clinical impact of automated quantitative myocardial blood flow analysis of stress CMR images.
Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Written informed consent by the participant after information about the research project
* Symptoms consistent with possible coronary artery disease
* Clinical referral for a vasodilator stress CMR and/or PET examination
Exclusion Criteria
* Contraindications to gadolinium-enhanced CMR examination
* Severe claustrophobia
* Specific implantable devices which are contraindicated for CMR
* Current pregnancy
* Advanced renal disease (GFR\<30)
* Uncontrolled obstructive pulmonary disease or asthma
* Atrial fibrillation at the time of study enrolment
18 Years
ALL
No
Sponsors
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University of Zurich
OTHER
Responsible Party
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Principal Investigators
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Aju P Pazhenkottil
Role: PRINCIPAL_INVESTIGATOR
University of Zurich
Locations
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University Hospital Zurich
Zurich, , Switzerland
Countries
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Central Contacts
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Facility Contacts
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Aju Pazhenkottil
Role: primary
Other Identifiers
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2021-02520
Identifier Type: -
Identifier Source: org_study_id