ArticleJournal of magnetic resonance imaging : JMRI2026
MR Imaging-Based Biomarkers for Strength Prediction: A Statistical Shape and Architecture Modeling of Quadriceps Muscles.
Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Editorial for "MR Imaging-Based Biomarkers for Strength Prediction: A Statistical Shape and Architecture Modeling of Quadriceps Muscles".Journal of magnetic resonance imaging : JMRI · 2026Article
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
backgroundMuscle mass decline, associated with strength decline, is a hallmark of aging. Yet, strength decline greatly exceeds mass decline. This indicates that aspects of muscle quality and architecture-not reflected by mass-also influence force generating capacity. Additionally, shape modeling enables analysis of the shape variations of muscles beyond size. PURPOSE: To predict muscle strength using muscle features beyond muscle quantity. STUDY TYPE: Retrospective cross-sectional study. POPULATION: Twenty-four healthy subjects normally distributed over an age range between 30 and 79 years old with a balanced sex distribution (12 female). FIELD STRENGTH/SEQUENCE: 3 T MRI using multi-echo Dixon and Stejskal-Tanner DTI. ASSESSMENT: Shape-only and shape + architecture models were generated using water-only and DTI images of the quadriceps. Multiple linear mixed-effects models were produced using (1) volume, (2) shape-only, and (3) shape + architecture. Volume was not added to the shape-only and shape + architecture models. Features reaching statistical significance within the models were retained for further analysis. Models' performance was evaluated using leave-one-subject-out (LOSO) cross-validation (CV). STATISTICAL TESTS: Pairwise, subject-level bootstrapping comparison was conducted and ∆R
resultsShape-only features demonstrated an improvement in the model performance compared to muscle volume. Models were significantly improved for the vastus lateralis to predict eccentric torque-∆R DATA
conclusionShape-only models are promising to quantify variations of muscle shape related to force production, and have the potential to develop imaging-based biomarkers for muscle strength in diseases. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 2.
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.