ArticleInternational journal of cardiology2021
Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study.
Article in International journal of cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Technical challenges in establishing local native T1 reference ranges in cardiac MRI: a critical review.Insights into imaging · 2026Review
- Differentiating ischemic from healthy myocardium using cardiovascular magnetic resonance dipyridamole rest and stress T1 mapping.Scientific reports · 2026Article
- Intravenous iron therapy results in rapid and sustained rise in myocardial iron content through a novel pathway.European heart journal · 2024Observational
- Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-Segment Elevation Myocardial Infarction.JACC. Cardiovascular imaging · 2024Article
- Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease.European heart journal. Cardiovascular Imaging · 2024Article
- Image-Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers.Journal of magnetic resonance imaging : JMRI · 2023Article
- Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank.JACC. Cardiovascular imaging · 2023Article
- Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Review
- Imaging Methods: Magnetic Resonance Imaging.Circulation. Cardiovascular imaging · 2023Review
- Fast, interleaved, Look-Locker-based TNMR in biomedicine · 2023Article
- Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI.JACC. Cardiovascular imaging · 2023Article
- Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images.Frontiers in cardiovascular medicine · 2023Article
- Phantom-based correction for standardization of myocardial native T1 and extracellular volume fraction in healthy subjects at 3-Tesla cardiac magnetic resonance imaging.European radiology · 2022Article
- Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.Circulation · 2022Article
- Determination of oxygen relaxivity in oxygen nanobubbles at 3 and 7 Tesla.Magma (New York, N.Y.) · 2022Article
- Article
- Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls.International journal of cardiology · 2021Article
- Demographic, multi-morbidity and genetic impact on myocardial involvement and its recovery from COVID-19: protocol design of COVID-HEART-a UK, multicentre, observational study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021Article
- MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks.Frontiers in cardiovascular medicine · 2021Article
- Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom.PloS one · 2021Article
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Authors and funding
50 authors.
Funding
Abstract
backgroundQuantitative cardiovascular magnetic resonance T1-mapping is increasingly used for myocardial tissue characterization. However, the lack of standardization limits direct comparability between centers and wider roll-out for clinical use or trials. PURPOSE: To develop a quality assurance (QA) program assuring standardized T1 measurements for clinical use.
methodsMR phantoms manufactured in 2013 were distributed, including ShMOLLI T1-mapping and reference T1 and T2 protocols. We first studied the T1 and T2 dependency on temperature and phantom aging using phantom datasets from a single site over 4 years. Based on this, we developed a multiparametric QA model, which was then applied to 78 scans from 28 other multi-national sites.
resultsT1 temperature sensitivity followed a second-order polynomial to baseline T1 values (R
conclusionsThe proposed phantom QA for T1-mapping can assure correct method implementation and protocol adherence, and is robust to temperature variation and phantom aging. This QA program circumvents the need of frequent phantom replacements, and can be readily deployed in multicenter trials.
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