ReviewQuantitative imaging in medicine and surgery2016
Quantitative sodium magnetic resonance imaging of cartilage, muscle, and tendon.
Review in Quantitative imaging in medicine and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 30 citations in OpenAlex.
- An accelerated PETALUTE MRI sequence for in vivo quantification of sodium content in human articular cartilage at 3T.Skeletal radiology · 2025Trial
- Atrophy of calf muscles by unloading results in an increase of tissue sodium concentration and fat fraction decrease: aEuropean journal of applied physiology · 2017Trial
- Repeatability of SimultaneousNMR in biomedicine · 2026Article
- Ultrashort Echo Time Double Echo Steady-State MRI for Quantitative Conductivity Mapping in the Knee: A Feasibility Study.Tomography (Ann Arbor, Mich.) · 2026Article
- Article
- Frontiers of Sodium MRI Revisited: From Cartilage to Brain Imaging.Journal of magnetic resonance imaging : JMRI · 2021Review
- Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing.Magma (New York, N.Y.) · 2020Article
- Contrast-Enhanced Computed Tomography Scoring System for Distinguishing Early Osteoarthritis Disease States: A Feasibility Study.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019Article
- A new RF transmit coil for foot and ankle imaging at 7T MRI.Magnetic resonance imaging · 2018Article
- Quantitative techniques for musculoskeletal MRI at 7 Tesla.Quantitative imaging in medicine and surgery · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sodium magnetic resonance imaging (MRI), or imaging of the 23Na nucleus, has been under exploration for several decades, and holds promise for potentially revealing additional biochemical information about the health of tissues that cannot currently be obtained from conventional hydrogen (or proton) MRI. This additional information could serve as an important complement to conventional MRI for many applications. However, despite these exciting possibilities, sodium MRI is not yet used routinely in clinical practice, and will likely remain strictly in the domain of exploratory research for the coming decade. This paper begins with a technical overview of sodium MRI, including the nuclear magnetic resonance (NMR) signal characteristics of the sodium nucleus, the challenges associated with sodium MRI, and the specialized pulse sequences, hardware, and reconstruction techniques required. Various applications of sodium MRI for quantitative analysis of the musculoskeletal system are then reviewed, including the non-invasive assessment of cartilage degeneration
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.