View clinical trials related to Coronary Microvascular Disease.
Filter by:Despite the progress made in the management of myocardial infarction (MI), the associated morbidity and mortality remains high. Numerous scientific data show that damage of the coronary microcirculation (CM) during a STEMI remains a problem because the techniques for measuring it are still imperfect. We have simple methods for estimating the damage to the MC during the initial coronary angiography, the best known being the calculation of the myocardial blush grade (MBG), but which is semi-quantitative and therefore not very precise, or more precise imaging techniques, such as cardiac MRI, which are performed 48 hours after the infarction and which make the development of early applicable therapeutics not very propitious. Finally, lately, the use of special coronary guides to measure a precise CM index remains non-optimal because it prolongs the procedure. However, the information is in the picture and this information could allow the development of therapeutic strategies adapted to the patient's CM. Indeed, the arrival of iodine in CM increases the density of the pixels of the image, this has been demonstrated by the implementation in 2009 of a software allowing the calculation of the MBG assisted by computer. But the performances of this software did not allow its wide diffusion. Today, the field of medical image analysis presents dazzling progress thanks to artificial intelligence (AI). Deep Learning, a sub-category of Machine Learning, is probably the most powerful form of AI for automated image analysis today. Made up of a network of artificial neurons, it allows, using a very large number of known examples, to extract the most relevant characteristics of the image to solve a given problem. Thus, it uses thousands of pieces of information, sometimes imperceptible to the naked eye. We hypothesize that a supervised Deep Learning algorithm trained with a set of relevant data, will be able to identify a patient with a pejorative prognosis, probably related to a microcirculatory impairment visible in the image.
Coronary artery microvascular disease (CMVD) lacks reliable and non-invasive quantitative diagnosis methods. Improving coronary microcirculation has become one of the main goals of coronary heart disease treatment. In this study, by establishing the key influencing factors of myocardial microcirculation perfusion, an accurate three-dimensional reconstruction method of coronary artery was established, and a non-invasive coronary microcirculation resistance index (CT-IMR) calculation method based on computational fluid method mechanics was established. At the same time, a phase I single-center clinical verification and a multi-center clinical verification of the non-invasive coronary microcirculation function precision assessment system were carried out, and a non-invasive coronary microcirculation detection system and technology were established.
The last 15 years the introduction of primary angioplasty has radically improved outcomes for acute myocardial infarction (AMI). However, the system wide availability of prompt investigation has revealed an important group of patients where progress has stalled, the diagnosis is unclear and therapeutic approaches are uncertain. Myocardial infarction with non-obstructive coronary arteries (MINOCA) is found in 1 - 13% of all patients with a clinical diagnosis of AMI. These patients present a therapeutic predicament since coronary revascularization is not appropriate. Guidelines do not exist for their management - yet the condition is not benign - the 12-month prognosis, although better than obstructive coronary artery disease patients is still guarded with recent data suggesting many questions remain unanswered.
Among patients with stable ischemic heart disease who are referred for coronary angiography, a substantial proportion have non-obstructive coronary artery disease (CAD). Ischemia based on symptoms or stress testing may be due to coronary microvascular dysfunction in up to 40% of these patients. However, the mechanisms and optimal treatment of coronary microvascular dysfunction are unknown. Aberrant platelet activity and inflammation have been hypothesized as mechanisms of microvascular dysfunction. Investigators plan to evaluate association between platelet activity, inflammation, and coronary microvascular dysfunction in stable women referred for coronary angiography, and to identify non-invasive correlates of coronary microvascular dysfunction in these patients.
This study hopes to provide significant technical improvement in a Myocardial Blood Flow (MBF) cardiac magnetic resonance (CMR) quantification technique to address challenges and technical limitations for MBF CMR. By developing and validating novel techniques to improve first-pass perfusion (FPP) cardiac MR, we propose to increase diagnostic accuracy by minimizing false positives and false negatives, allow for better evaluation and accurate quantification of total ischemic burden and reduce image and motion-induced artifacts. The broad, long-term objective of the proposed project is to improve the prognosis of patients with myocardial ischemia caused by coronary artery disease (CAD) or coronary microvascular dysfunction (CMD).