ArticlePloS one2021
Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review.Radiology. Artificial intelligence · 2024Pooled it
- Quantitative MRI of pancreatic parenchyma in intraductal papillary mucinous neoplasm: association with risk stratification based on guideline features.European radiology · 2026Article
- Fast and robust T1 mapping based on a 3D dual-echo UTE sequence (PETALUTE) for superparamagnetic iron oxide nanoparticle (SPION) biodistribution assessment.Medical physics · 2026Article
- Reproducibility of T2 relaxation time mapping in a phantom and human knee articular cartilage.Magma (New York, N.Y.) · 2026Article
- Variance Extrapolated Class-Imbalance-Aware Domain Adaptive Myocardial Segmentation in Multi-Sequence Cardiac MRI.IEEE journal of biomedical and health informatics · 2026Article
- Simultaneous Volumetric T1 and T2 Mapping With Blood- and Fat-Suppression in Abdominal Aortic Aneurysms.Magnetic resonance in medicine · 2026Article
- Relaxivity of Gadobutrol and Gadoteric Acid in Cerebrospinal Fluid at 3T.Magnetic resonance in medicine · 2026Article
- A multidimensional hierarchical framework for sources of bias in real-world healthcare evidence: a scoping review.Journal of biomedical informatics · 2026Article
- DIM: A diffusion instability measure for MRI quality assurance.Magnetic resonance in medicine · 2025Article
- Accelerating 3D radial MPnRAGE using a self-supervised deep factor model.Magnetic resonance in medicine · 2025Article
- Hemadsorption with CytoSorb®: focus on the latest experiences in cardiac surgery patients.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025Review
- Multi-center and multi-vendor evaluation study across 1.5 T and 3 T scanners (part 2): T1 and T2 standardization in the ISMRM/NIST MR phantom.Magma (New York, N.Y.) · 2025Article
- Multi-center QA of ultrahigh-field systems.Magma (New York, N.Y.) · 2025Review
- Fine-Tuning Deep Learning Model for Quantitative Knee Joint Mapping With MR Fingerprinting and Its Comparison to Dictionary Matching Method: Fine-Tuning Deep Learning Model for Quantitative MRF.NMR in biomedicine · 2025Article
- T1 and T2 measurements across multiple 0.55T MRI systems using open-source vendor-neutral sequences.Magnetic resonance in medicine · 2025Article
- A signal model for fat-suppressed TNMR in biomedicine · 2025Article
- Paramagnetic salt and agarose recipes for phantoms with desired T1 and T2 values for low-field MRI.NMR in biomedicine · 2025Article
- Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Repeatability and reproducibility of rapid TImaging neuroscience (Cambridge, Mass.) · 2025Article
- Phantoms for Quantitative Body MRI: a review and discussion of the phantom value.Magma (New York, N.Y.) · 2024Review
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
Recent innovations in quantitative magnetic resonance imaging (MRI) measurement methods have led to improvements in accuracy, repeatability, and acquisition speed, and have prompted renewed interest to reevaluate the medical value of quantitative T1. The purpose of this study was to determine the bias and reproducibility of T1 measurements in a variety of MRI systems with an eye toward assessing the feasibility of applying diagnostic threshold T1 measurement across multiple clinical sites. We used the International Society of Magnetic Resonance in Medicine/National Institute of Standards and Technology (ISMRM/NIST) system phantom to assess variations of T1 measurements, using a slow, reference standard inversion recovery sequence and a rapid, commonly-available variable flip angle sequence, across MRI systems at 1.5 tesla (T) (two vendors, with number of MRI systems n = 9) and 3 T (three vendors, n = 18). We compared the T1 measurements from inversion recovery and variable flip angle scans to ISMRM/NIST phantom reference values using Analysis of Variance (ANOVA) to test for statistical differences between T1 measurements grouped according to MRI scanner manufacturers and/or static field strengths. The inversion recovery method had minor over- and under-estimations compared to the NMR-measured T1 values at both 1.5 T and 3 T. Variable flip angle measurements had substantially greater deviations from the NMR-measured T1 values than the inversion recovery measurements. At 3 T, the measured variable flip angle T1 for one vendor is significantly different than the other two vendors for most of the samples throughout the clinically relevant range of T1. There was no consistent pattern of discrepancy between vendors. We suggest establishing rigorous quality control procedures for validating quantitative MRI methods to promote confidence and stability in associated measurement techniques and to enable translation of diagnostic threshold from the research center to the entire clinical community.
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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.