Ischemic Heart Disease (IHD)

This single-center, prospective, observational cohort study aims to evaluate the clinical application value of multi-modal cardiovascular magnetic resonance (CMR) imaging in patients with cardiovascular diseases (CVD). While traditional imaging methods have limitations in fully evaluating myocardial tissue characteristics, multi-modal CMR offers a comprehensive, non-invasive "one-stop" assessment. It can simultaneously evaluate heart structure, function, tissue features (such as fibrosis and edema), and hemodynamics. The study plans to enroll patients with suspected or confirmed CVD. Participants will undergo a comprehensive multi-modal CMR scan (including Cine, T1/T2 mapping, Late Gadolinium Enhancement, and 4D flow sequences) as part of their evaluation. In addition to clinical evaluation, the study will explore sequence optimization (e.g., comparing pre-contrast vs. post-contrast Cine, and 3-slice vs. 9-slice T1 mapping) and evaluate deep learning-based virtual native enhancement (VNE) models trained under different sequence protocols. By tracking clinical outcomes, the study seeks to establish a standardized imaging assessment system to improve the early detection, accurate diagnosis, risk stratification, and prognostic prediction for various types of cardiovascular diseases.

The primary aim of this study is to evaluate changes in absolute coronary flow and pressure before and after percutaneous coronary intervention in calcified lesions. The secondary aim is to use a machine learning model to predict the outcome of the intervention.

This research aims to investigate whether symptoms of chest pain or shortness of breath among the study population are arising due to a heart problem, particularly any reduction of blood flow to the heart muscle from blockages in the coronary blood vessels or inflammation of the heart using cardiac magnetic resonance imaging that measures the amount of blood flow during a stress state meant to simulate vigorous exercise. At present, doctors use standard magnetic resonance imaging pictures of blood flow patterns to treat heart disease. The investigators want to study if detailed blood flow measurements, in addition to the standard blood flow pattern, could diagnose heart disease more accurately and allow more doctors to understand the severity of heart disease. Early research has demonstrated that detailed blood flow measurements may be more accurate in diagnosing heart disease in some patients, but doctors need more information to know how to use these measurements.

The goal of this feasibility study is to assess if the personalised online psychological intervention MY-CHOICE is acceptable to adults with ischemic heart disease and anxiety or depression. It will also examine the reasons for drop-out. The main questions the study aims to answer are: How many participants complete the intervention and what are the reasons for drop-out. And what are the pre-post change scores on anxiety and depression. Participants will: Complete the MY-CHOICE intervention consisting of 6-12 weeks with online modules on various topics based on individual needs in combination with video- or telephone calls with a therapist (psychologist or a trained master student in Psychology) on a need-to basis. Answer a set of questionnaires pre and post intervention. Participate in a brief interview post intervention.

A Clinical Evaluation of AMJ-401 in the Treatment of Subjects with Ischemic Heart Disease in Japan

Heart failure due to coronary artery disease represents a significant cause of mortality. The detection of patients eligible for bypass surgery is a pivotal concern. Nevertheless, the optimal approach for patient selection based on conventional imaging scans remains unclear. The proposed method (Hyperpolarized 13C MRI) has gained extensive use in evaluating in vivo metabolism. This method avoids ionizing radiation and provides critical insights into cardiac function. The feasibility study aims to investigate this method for patient selection before bypass surgery. This innovative imaging technique facilitates the identification of two simple molecules, bicarbonate and lactic acid, produced at high rates by normal heart metabolism. Both bicarbonate and lactate originate from the same precursor molecule, pyruvate. The data generated from this study holds the potential to refine diagnostic precision.

Ischemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide. Accurate risk stratification is essential for guiding clinical management and improving long-term outcomes in patients with ischemic myocardial injury. Cardiovascular magnetic resonance (CMR) imaging provides comprehensive assessment of myocardial structure, function, and tissue characteristics, enabling detailed evaluation of ischemic injury and its consequences. This multicenter, retrospective observational study aims to investigate the prognostic value of multiparametric CMR-derived imaging markers in patients with ischemic heart disease who underwent clinically indicated CMR examinations. Imaging parameters of interest include late gadolinium enhancement (LGE), infarct size, microvascular obstruction (MVO), left ventricular and left atrial strain, and native T1 and T2 mapping values. Long-term clinical outcomes will be obtained from existing medical records. The primary outcome is major adverse cardiovascular and cerebrovascular events (MACCE), and secondary outcome is cardiovascular death. This study seeks to clarify the role of CMR in long-term risk stratification of patients with ischemic heart disease.