ArticleMagnetic resonance in medicine2017
Diffusion in hierarchical systems: A simulation study in models of healthy and diseased muscle tissue.
Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Motion and Flow Robust Free-Breathing Diffusion Kurtosis Imaging of the Kidney.NMR in biomedicine · 2025Article
- Diffusion Tensor Imaging of Rat Rotator Cuff Muscle With Histopathological Correlation: An Exploratory Study.NMR in biomedicine · 2025Article
- SpinWalk: A Monte Carlo simulator for MR-signal formation in inhomogeneous tissue.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Accelerated, Physics-Inspired Inference of Skeletal Muscle Microstructure From Diffusion-Weighted MRI.IEEE transactions on medical imaging · 2024Article
- Magnetic Resonance Imaging Biomarkers of Muscle.Tomography (Ann Arbor, Mich.) · 2024Review
- Applications of Diffusion-Weighted MRI to the Musculoskeletal System.Journal of magnetic resonance imaging : JMRI · 2024Review
- Time-dependent diffusion tensor imaging and diffusion modeling of age-related differences in the medial gastrocnemius and feasibility study of correlations to histopathology.NMR in biomedicine · 2023Article
- Intravoxel Incoherent Motion Magnetic Resonance Imaging in Skeletal Muscle: Review and Future Directions.Journal of magnetic resonance imaging : JMRI · 2022Review
- Varying diffusion time to discriminate between simulated skeletal muscle injury models using stimulated echo diffusion tensor imaging.Magnetic resonance in medicine · 2021Article
- Diffusion tensor imaging and diffusion modeling: Application to monitoring changes in the medial gastrocnemius in disuse atrophy induced by unilateral limb suspension.Journal of magnetic resonance imaging : JMRI · 2019Article
- Novel insights into in-vivo diffusion tensor cardiovascular magnetic resonance using computational modeling and a histology-based virtual microstructure.Magnetic resonance in medicine · 2019Article
- Capturing complexity of the diffusion-weighted MR signal decay.Magnetic resonance imaging · 2019Article
- Relationships between tissue microstructure and the diffusion tensor in simulated skeletal muscle.Magnetic resonance in medicine · 2018Article
- Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion.Magma (New York, N.Y.) · 2018Article
- Magnetic Resonance Monitoring of Disease Progression in mdx Mice on Different Genetic Backgrounds.The American journal of pathology · 2017Article
- Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI.Journal of neuromuscular diseasesArticle
- Increased tumour burden alters skeletal muscle properties in the KPC mouse model of pancreatic cancer.JCSM rapid communicationsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the sensitivity of diffusion-MR signal to microstructural change in muscle tissue associated with pathology, and recommend optimal acquisition parameters.
methodsWe employ Monte-Carlo simulation of diffusing spins in hierarchical tissue to generate synthetic diffusion-weighted signal curves over a wide range of scan parameters. Curves are analyzed using entropy-a measure of curve complexity. Entropy change between a baseline and various microstructural scenarios is investigated. We find acquisitions that optimize entropy difference in each scenario.
resultsPermeability changes have a large effect on the diffusion-weighted signal curve. Muscle fiber atrophy is also important, although differentiating between mechanisms is challenging. Several acquisitions over a range of diffusion times is optimal for imaging microstructural change in muscle tissue. Sensitivity to permeability is optimized for high gradient strengths, but sensitivity to other scenarios is optimal at other values.
conclusionsThe diffusion-attenuated signal is sensitive to the microstructural changes, but the changes are subtle. Taking full advantage of the changes to the overall curve requires a set of acquisitions over a range of diffusion times. Permeability causes the largest changes, but even the very subtle changes associated with fiber radius distribution change the curves more than noise alone. Magn Reson Med 78:1187-1198, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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.