ArticleScientific reports2024
A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Standardizing quantitative muscle MRI: an inter-vendor evaluation in healthy adults.Magma (New York, N.Y.) · 2026Article
- Diagnosing abdominal neoplasms using a T2 mapping radial turbo spin-echo technique with partial volume correction.European radiology · 2026Article
- Improved Strength Prediction Combining MRI Biomarkers of Muscle Quantity and Quality.NMR in biomedicine · 2025Article
- Improving Accuracy and Reproducibility of Cartilage TJournal of magnetic resonance imaging : JMRI · 2025Article
- Article
- Age-dependent diffusion-relaxation coupling in the basal ganglia: Implications for iron deposition and microstructural dynamics.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
This work presents a deep learning approach for rapid and accurate muscle water T
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.