Prospective Identification of High-risk Coronary Plaques Through Non-invasive Imaging
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Reliable identification of coronary plaque at risk of causing future adverse cardiovascular events would allow patient-specific targeting of intensive therapy. The majority of events are precipitated by coronary plaque rupture, with ruptured plaques exhibiting a large necrotic, lipid core with superimposed thrombus. The proposed precursor lesion shares similar plaque compositional features to ruptured plaques but with a thin overlying fibrous cap and is termed a thin-cap fibroatheroma (TCFA)1. At present there is a major emphasis on imaging modalities that can identify these higher-risk plaque subtypes.
We have previously validated an invasive imaging modality, virtual-histology intravascular ultrasound (VH-IVUS) against histology, and found that VH-IVUS identified TCFA with a diagnostic accuracy of 74%2. In prospective studies, VH-defined TCFAs were associated with a 7x greater risk of future events than other plaque subtypes3. Although this technique shows promise in permitting plaque-based risk stratification, it is limited by its invasive nature. Thus, alternate, non-invasive imaging options are required for more widespread risk assessment.
Recently, we have devised a novel method of creating "Plaque Maps" using CT attenuation data individualised to each patient (Figure 1), which permits identification of coronary plaque components with a diagnostic accuracy of 75%-85%4. However, whilst CT Plaque Maps could identify fibroatheroma with similar diagnostic accuracy to VH-IVUS (79% vs. 74%), the spatial resolution of CT was unable to detect the thin fibrous cap and distinguish fibroatheroma from TCFA (Figure 2). More recently we have introduced necrotic core/fibrous plaque ratio as a possible Plaque Map surrogate for identification of TCFA. Using a ratio of >0.58, the sensitivity to detect a TCFA was 84% and specificity 75%; an improvement over all previously identified CT-defined features of high risk plaques4. Whether this novel strategy can prospectively improve identification of plaque vulnerability is unproven.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age >18 years
- The ability to provide informed consent.
- Previously part of CTA accuracy validation study
Exclusion Criteria:
• The inability of the participant to provide informed consent
Study Plan
How is the study designed?
Design Details
- Time Perspectives: Retrospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
cohort of patients with suspected coronary artery disease
a cohort of patients with suspected coronary artery disease going forward for conventional angiography and (2) whether CT-TCFA is associated with future adverse cardiovascular events.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
CT-defined TCFA association with future adverse cardiovascular events
Time Frame: 7 years post surgery
|
7 years post surgery
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start
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 (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
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
Other Study ID Numbers
Other Study ID Numbers
- P01987 Protocol 1.0 September
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