ReviewMolecular vision2012
Review: magnetic resonance imaging techniques in ophthalmology.
Review in Molecular vision, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction.PloS one · 2026Article
- Patterns of Signal Intensity in CISS MRI of the Inner Ear and Eye.Tomography (Ann Arbor, Mich.) · 2024Article
- Synchronous functional magnetic resonance eye imaging, video ophthalmoscopy, and eye surface imaging reveal the human brain and eye pulsation mechanisms.Scientific reports · 2024Article
- Molecular and cellular imaging of the eye.Biomedical optics express · 2024Review
- Imaging ocular water inflow in the mouse with deuterium oxide MRI.Magnetic resonance imaging · 2023Article
- Review
- High-resolution, depth-resolved vascular leakage measurements using contrast-enhanced, correlation-gated optical coherence tomography in mice.Biomedical optics express · 2021Article
- Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Non-invasive molecular tracking method that measures ocular drug distribution in non-human primates.Communications biology · 2020Article
- Incorporating non-linear alignment and multi-compartmental modeling for improved human optic nerve diffusion imaging.NeuroImage · 2019Article
- Ocular Biodistribution Studies using Molecular Imaging.Pharmaceutics · 2019Review
- The association of Helicobacter pylori with choroidal and retinal nerve fiber layer thickness.International ophthalmology · 2018Article
- Ultrahigh field MR imaging of a subconjunctival anti-glaucoma drug delivery system in a rabbit model.Scientific reports · 2017Article
- Dynamic Imaging of the Eye, Optic Nerve, and Extraocular Muscles With Golden Angle Radial MRI.Investigative ophthalmology & visual science · 2017Article
- Semiquantitative assessment of optic nerve injury using manganese-enhanced MRI.Japanese journal of radiology · 2016Article
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
Imaging the eye with magnetic resonance imaging (MRI) has proved difficult due to the eye's propensity to move involuntarily over typical imaging timescales, obscuring the fine structure in the eye due to the resulting motion artifacts. However, advances in MRI technology help to mitigate such drawbacks, enabling the acquisition of high spatiotemporal resolution images with a variety of contrast mechanisms. This review aims to classify the MRI techniques used to date in clinical and preclinical ophthalmologic studies, describing the qualitative and quantitative information that may be extracted and how this may inform on ocular pathophysiology.
Indexed as
Identifiers
23112569PMC3482169What 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.