ReviewJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2023
Magnetic resonance myocardial T1ρ mapping : Technical overview, challenges, emerging developments, and clinical applications.
Review in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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
22 citing papers in PubMed.
- Assessment of late gadolinium enhancement peri-infarct zone in myocardial infarction with in vivo endogenous T1-rho mapping.European journal of radiology open · 2026Article
- Dark-Blood AdiabaticBioengineering (Basel, Switzerland) · 2026Article
- Cardiovascular magnetic resonance for therapy monitoring in cardiomyopathies.European heart journal. Imaging methods and practice · 2026Review
- Multinuclear NMR and MRI Beyond Proton Imaging: Principles, Contrast Mechanisms, and Applications in Materials and Biomedicine.International journal of molecular sciences · 2026Review
- Clinical validation of T1ρ mapping for the assessment of hepatic fibrosis in patients with chronic liver disease.European radiology · 2026Article
- 3D Whole-Heart Joint TNMR in biomedicine · 2026Article
- Neuroimaging evidence of mitochondrial dysfunction and inflammation in psychiatric disorders: a review.Psychoradiology · 2026Review
- Sarcopenia in type 2 diabetes mellitus: an imaging review.Frontiers in medicine · 2026Review
- Assessment of myocardial fibrosis in ischemic and non-ischemic cardiomyopathies using cardiac magnetic resoance non-contrast T1ρ mapping.Frontiers in cardiovascular medicine · 2026Article
- Cardiac MRI in diabetic cardiomyopathy: translating imaging biomarkers into clinical practice.Cardiovascular diabetology · 2025Review
- Predictive markers for molecular subtypes and WHO grade: T1ρ-MRI in adult-type diffuse gliomas.Journal of neuro-oncology · 2025Article
- Simultaneous TMagnetic resonance in medicine · 2025Article
- Long-term prognostic value of native myocardial tissue relaxation parameters (T1, T2, and T1ρ) in patients with precapillary pulmonary hypertension.The international journal of cardiovascular imaging · 2025Article
- 3D joint TMagnetic resonance in medicine · 2025Article
- Advanced Myocardial MRI Tissue Characterization Combining Contrast Agent-Free T1-Rho Mapping With Fully Automated Analysis.Journal of magnetic resonance imaging : JMRI · 2025Article
- A comparison of T1ρ with native T1 and T2 mapping for detecting edema in takotsubo cardiomyopathy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- The Role of Advanced Cardiac Imaging in Monitoring Cardiovascular Complications in Patients with Extracardiac Tumors: A Descriptive Review.Journal of cardiovascular development and disease · 2024Review
- Recent Progress of Cardiac MRI for Nuclear Medicine Professionals.Nuclear medicine and molecular imaging · 2024Review
- [Clincial Research Progress in Using Magnetic Resonance Imaging to Assess Myocardial Fibrosis in Hypertrophic Cardiomyopathy].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Review
- Next-Generation Cardiac Magnetic Resonance Imaging Techniques for Characterization of Myocardial Disease.Current treatment options in cardiovascular medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The potential of cardiac magnetic resonance to improve cardiovascular care and patient management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged as a promising biomarker for quantifying myocardial injuries without exogenous contrast agents. Its potential as a contrast-agent-free ("needle-free") and cost-effective diagnostic marker promises high impact both in terms of clinical outcomes and patient comfort. However, myocardial T1ρ mapping is still at a nascent stage of development and the evidence supporting its diagnostic performance and clinical effectiveness is scant, though likely to change with technological improvements. The present review aims at providing a primer on the essentials of myocardial T1ρ mapping, and to describe the current range of clinical applications of the technique to detect and quantify myocardial injuries. We also delineate the important limitations and challenges for clinical deployment, including the urgent need for standardization, the evaluation of bias, and the critical importance of clinical testing. We conclude by outlining technical developments to be expected in the future. If needle-free myocardial T1ρ mapping is shown to improve patient diagnosis and prognosis, and can be effectively integrated in cardiovascular practice, it will fulfill its potential as an essential component of a cardiac magnetic resonance examination.
Indexed as
Identifiers
What OpenQuestion holds
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.