To demonstrate the potential for differentiating normal and diseased myocardium without Gadolinium using rest and stress T1-mapping. Patients undergoing 1.5T magnetic resonance imaging (MRI) as part of clinical work-up due to suspicion of coronary artery disease (CAD) were included. Adenosine stress perfusion MRI and late gadolinium enhancement (LGE) imaging were performed to identify ischemic and infarcted myocardium. Patients were retrospectively categorized into an ischemic, infarct and control group based on conventional acquisitions. Patient with both ischemic and infarcted myocardium were excluded. A total of 64 patients were included: ten with myocardial ischemia, 15 with myocardial infarction, and 39 controls. A native Modified Look-Locker Inversion Recovery (MOLLI) T1-mapping acquisition was performed at rest and stress. Pixel-wise myocardial T1-maps were acquired in short-axis view with inline motion-correction. Short-axis T1-maps were manually contoured using conservative septal sampling. Regions of interest were sampled in ischemic and infarcted areas detected on perfusion and LGE images. T1 reactivity was calculated as the percentage difference in T1 values between rest and stress. Remote myocardium was defined as myocardium without defects in the ischemic and infarcted group whereas normal myocardium is found in the control group only. Native T1-values were significantly higher in infarcted myocardium in rest and stress [median 1044 ms (interquartile range (IQR) 985-1076) and 1053 ms (IQR 989-1088)] compared to ischemic myocardium [median 961 ms (IQR 939-988) and 958 ms (IQR 945-988)]. T1-reactivity was significantly lower in ischemic and infarcted myocardium [median 0.00% (IQR - 0.18 to 0.16) and 0.41% (IQR 0.09-0.86)] compared to remote myocardium [median 3.54% (IQR 1.48-5.78) and 3.21% (IQR 1.95-4.79)]. Rest-stress T1-mapping is able to distinguish between normal, ischemic, infarcted and remote myocardium using native T1-values and T1-reactivity, and holds potential as an imaging biomarker for tissue characterization in MRI.
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http://dx.doi.org/10.1007/s10554-019-01554-4 | DOI Listing |
In Vivo
December 2024
Department of Health and Care Professions, Faculty of Health and Life Sciences, University of Exeter, Exeter, U.K.;
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January 2025
Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Cardiovascular (CV) diseases caused 20.5 million deaths in 2021, making up nearly one-third of global mortality. This highlights the need for practical prognostic markers to better classify patients and guide treatment, especially in ischemic heart disease (IHD), which represents one of the leading causes of CV mortality.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Cardiology, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, China.
Background: Acute myocardial infarction (AMI) remains a leading cause of hospitalization and death in China. Accurate mortality prediction of inpatient is crucial for clinical decision-making of non-ST-segment elevation myocardial infarction (NSTEMI) patients.
Methods: In this study, a total of 3061 patients between January 1, 2017 and December 31, 2022 diagnosed with NSTEMI were enrolled in this study.
Mymensingh Med J
January 2025
Dr SM Nazmul Huda, Assistant Registrar, Department of Cardiology, National Institute of Cardiovascular Diseases (NICVD), Dhaka, Bangladesh; E-mail:
Low free Tri-iodothyronine (FT₃) levels are generally associated with poor prognosis in patients with various critical illnesses. Acute ST-segment Elevation Myocardial Infarction (STEMI) represents the most lethal form of Acute Coronary Syndrome (ACS) with substantial short- and long-term mortality. This study was done to assess the association between FT₃ levels and in-hospital outcome of the STEMI patients treated with streptokinase therapy.
View Article and Find Full Text PDFMikrochim Acta
December 2024
State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), Collaborative Innovation Center for Guangxi Ethnic Medicine, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, 541004, China.
An electrochemiluminescence (ECL) immunosensor was developed for the highly sensitive and specific detection of heart-type fatty acid binding protein (H-FABP) and the rapid diagnosis of acute myocardial infarction (AMI). H-FABP is a biomarker that is highly specific to cardiac tissue and is associated with a range of cardiac diseases. Following myocardial injury, the rate of increase in H-FABP levels is greater than that observed for myoglobin and troponin.
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