ReviewJACC. Cardiovascular imaging2019
Myocardial T1 and ECV Measurement: Underlying Concepts and Technical Considerations.
Review in JACC. Cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
91 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- MRI-derived extracellular volume as a biomarker of cancer therapy cardiotoxicity: systematic review and meta-analysis.European radiology · 2024Pooled it
- Current insights of applying MRI in Graves' ophthalmopathy.Frontiers in endocrinology · 2022Pooled it
- Native T1 Mapping, Extracellular Volume Mapping, and Late Gadolinium Enhancement in Cardiac Amyloidosis: A Meta-Analysis.JACC. Cardiovascular imaging · 2020Pooled it
- Synthetic Extracellular Volume in Cardiac Magnetic Resonance Without Blood Sampling: a Reliable Tool to Replace Conventional Extracellular Volume.Circulation. Cardiovascular imaging · 2022Trial
- Cardiac fibrosis: mechanistic insights and translational advances.Molecular biomedicine · 2026Review
- Diagnostic Sensitivity of [18F]-Florbetaben-PET/CT in Detecting Cardiac Involvement in AL Amyloidosis: The Prospective MoRBiDA Study.JACC. Advances · 2026Article
- Myocardial fibrosis in patients with coronary artery disease and diabetes mellitus assessed by cardiovascular magnetic resonance T1 mapping.The international journal of cardiovascular imaging · 2026Article
- Cardiac magnetic resonance T1 mapping for amyloid cardiomyopathy in patients with heart failure.European heart journal. Imaging methods and practice · 2026Article
- The Association between Hypoperfused Myocardium and Systolic Function in Patients With AMI Undergoing Complete Revascularization.Clinical cardiology · 2026Article
- Age-, sex-, and segment-specific myocardial T1 and T2 reference values in a healthy cohort: a prospective single-center study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- Liver findings in newly diagnosed, treatment-naive patients with Crohn's disease: a preliminary study of MRI proton density fat fraction and extracellular volume fraction.BMC medical imaging · 2026Article
- CT-derived hepatic extracellular volume fraction for the assessment of graft rejection after liver transplantation: a retrospective observational study.Abdominal radiology (New York) · 2026Article
- Native T1 Mapping and Clinical Risk Characterization in Non-Ischemic Dilated Cardiomyopathy: A Cardiac Magnetic Resonance Study.Journal of cardiovascular development and disease · 2026Article
- The relationship between myocardial and hepatic T1 relaxometry on cardiovascular magnetic resonance imaging and clinical outcomes late after tetralogy of Fallot repair.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Multimodality Imaging in Myocarditis: Integrating Etiology, Diagnosis, and Risk Stratification.Current cardiology reports · 2026Review
- Atrial fibrillation is linked to increased left ventricular fibrosis and inflammation measured by CMR with prognostic implications.The international journal of cardiovascular imaging · 2026Article
- Reliability of extraocular muscle biomechanics in the evaluation of disease activity in thyroid eye disease.Journal of endocrinological investigation · 2026Article
- Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.Scientific reports · 2026Article
- Interpreting a Thick Myocardium on Cardiac MR: A Practical Guide for Radiologists.Journal of the Korean Society of Radiology · 2026Review
- Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study.BMC medical imaging · 2026Article
31 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Myocardial native T1 and extracellular volume fraction (ECV) mapping have emerged as cardiac magnetic resonance biomarkers providing unique insight into cardiac pathophysiology. Single breath-hold acquisition techniques, available on clinical scanners across multiple vendor platforms, have made clinical T1 and ECV mapping a reality. Although the relationship between changes in native T1 and alterations in cardiac microstructure is complex, an understanding of how edema, blood volume, myocyte and interstitial expansion, lipids, and paramagnetic substances affect T1 and ECV can provide insight into how and why these parameters change in various cardiac pathologies. The goals of this state-of-the-art review will be to review factors influencing native T1 and ECV, to describe how native T1 and ECV are measured, to discuss potential challenges and pitfalls in clinical practice, and to describe new T1 mapping techniques on the horizon.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.