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Clinical Trial Summary

- 40% of patients presenting with stable chest pain (angina) have no significant blockage of the main heart arteries. Identifying why these patients have symptoms will mean better treatment options can be developed. - About 60% of these patients have evidence of coronary microvascular disease (CMD). In this condition there is a problem with the heart's microvessels (very small blood vessels that branch from the main heart arteries). Due to problems with these vessels there is a mismatch between the blood supply to the heart and its oxygen consumption, causing chest pain and this can also lead to major heart events. - At present, to diagnose this condition, specialised techniques during an invasive test, called a coronary angiogram, are required. As this is an invasive test, it can be lead to complications and cause discomfort. - Non-invasive ways of diagnosing CMD are required to improve the diagnosis and management of this condition. - This study aims to provide initial data on whether novel imaging techniques using CT and MRI scans, which are much less invasive, could identify CMD. - To do this, patients with suspected angina referred for angiography and who are already participants in the main research study 'CMR versus CT-FFR in CAD' study will be recruited. - These will be patients with suspected CMD and also those with blockage of the main heart arteries (triple vessel disease) to compare against. - Participants in this pilot study will have additional tests used to diagnose CMD during their invasive angiography procedure. Participants will then have an MRI scan involving novel techniques and exercise MRI, where individuals exercise use a cycle or stepping machine during the MRI scan. Further analysis will also be undertaken of CT images acquired as part of the main study. - These tests will be compared against invasive test results to see which show potential in being able to diagnose CMD.


Clinical Trial Description

- Coronary artery disease (CAD) is the leading cause of morbidity and mortality in the United Kingdom. Approximately 40% of patients presenting with angina, however, have no evidence of significant obstructive CAD. - About 60% of these patients have evidence of coronary microvascular disease (CMD), where there is dysfunction of the coronary microvessels leading to a mismatch between the blood supply to the myocardium and oxygen consumption. This may be due to a number of structural and functional changes including vascular remodelling, perivascular fibrosis, endothelial dysfunction and vascular smooth muscle dysfunction. Although previously thought of as a benign entity, recent studies suggest that CMD is associated with major adverse events. - Symptoms caused by CMD and obstructive CAD cannot be distinguished sufficiently to guide diagnosis and management plans and conventional cardiac risk factors are poor discriminators of the two conditions, therefore clinicians are reliant on further investigations to diagnose CMD. - Growing evidence supports invasive coronary physiological testing for this and methods to measure coronary vascular function during angiography have been developed. Once significant epicardial CAD has been excluded, CMD can be identified by impaired coronary flow reserve (CFR) and the index of microvascular resistance (IMR). - Despite the ability of invasive testing to detect CMD, these methods come with attendant risks, as well as cost implications. Additionally, there is limited expertise and uptake amongst interventional cardiologists in intracoronary physiological assessment, limiting its widespread use. Hence, non-invasive surrogates are required to improve diagnosis and management of CMD. However, currently available non-invasive tests, including exercise ECG, stress echocardiography and nuclear imaging, lack the sensitivity and specificity to diagnose CMD. - Microvascular volume analysed using novel imaging methods may provide the diagnostic accuracy required for the non-invasive identification of CMD. In CMD, patients may exhibit reduced microvascular volume, in contrast to epicardial disease where there is microvascular expansion and therefore these methods may be able to differentiate between the two disease processes. A number of methods have been proposed for assessment of microvascular volume using computed tomography (CT) and CMR. These methods include coronary luminal volume to myocardial mass (V/M) ratio using computational CT analysis, as well as CMR methods such as T1 mapping and Blood oxygen level-dependent CMR. Furthermore, compared to using pharmacological stress, exercise CMR could provide superior diagnostic ability to identify CMD, as it allows assessment during more 'physiological' stress. - This study aims to provide pilot data on whether these novel CT and MRI and the use of physiological stress (exercise CMR) could identify CMD in patients presenting with angina. It aims to identify which of the proposed imaging methods could prove to be clinically useful for non-invasive identification of CMD, providing justification for a larger-scale diagnostic accuracy study. - This is a prospective, single centre pilot study which will recruit individuals with angina referred for angiography who are participants in the research study 'CMR versus CT-FFR in CAD'. - This pilot study will recruit both patients with suspected CMD and controls with multi-vessel CAD to compare against. - Participants will be consented to have additional invasive testing at angiography for CMD. Those with confirmed CMD at angiography and all control participants will then have an MRI scan compromising of advanced MRI techniques for assessment of microvascular volume at rest and physiological stress (exercise). In addition, previously acquired CT images from the main research study will be transferred to Heartflow for computation of coronary blood volume. - This will allow assessment of whether the novel imaging modalities proposed could be clinically useful for non-invasive identification of CMD and distinction from epicardial disease to inform larger future studies of these techniques. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06070662
Study type Observational
Source University of Leicester
Contact Ranjit Arnold
Phone +44116 258 3038
Email jra14@leicester.ac.uk
Status Recruiting
Phase
Start date November 1, 2023
Completion date September 2024

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