Prospective Identification of High-risk Coronary Plaques Through Non-invasive Imaging

January 26, 2015 updated by: Papworth Hospital NHS Foundation Trust
Cardiovascular disease remains the leading cause of death worldwide. Identifying individual patients at risk of a suture adverse events, including myocardial infractions (heart attacks), remains a major diagnostic challenge. Recent studies have shown that coronary plaques responsible for hear attack are composed of a large lipid core with a thin overlying fibrous cap. Although these features can be identified using invasive imaging modalities, non-invasive imaging options remain limited due to their poor spatial resolution. Recently the investigators have developed and validated a novel tool that will allow us to characterise coronary plaque composition based on dual source CT images. Our aim is to assess this tool within a cohort of patients who have already undergone a coronary CT as part of a previous study.

Study Overview

Status

Unknown

Conditions

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

Observational

Enrollment (Anticipated)

100

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

This study will be an observational, retrospective, single center cohort study based at Papworth Hospital NHS Trust, including up to a maximum of 100 patients. The patients have already been identified through their participation in a previous research study, as stated above. Additional inclusion criteria are; age >18 years and the ability to provide informed consent. The only exclusion criterion is the inability of the participant to provide informed consent.

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Intervention / 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

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

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2015

Primary Completion (Anticipated)

January 1, 2016

Study Completion (Anticipated)

March 1, 2016

Study Registration Dates

First Submitted

January 7, 2015

First Submitted That Met QC Criteria

January 26, 2015

First Posted (Estimate)

January 27, 2015

Study Record Updates

Last Update Posted (Estimate)

January 27, 2015

Last Update Submitted That Met QC Criteria

January 26, 2015

Last Verified

January 1, 2015

More Information

Terms related to this study

Other Study ID Numbers

  • P01987 Protocol 1.0 September

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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