Evidence map›Paper›PMID 35201263›Full record

ArticleInvestigative ophthalmology & visual science2022

Multi-Contrast Magnetic Resonance Imaging of Visual White Matter Pathways in Patients With Glaucoma.

Shumpei Ogawa, Hiromasa Takemura, Hiroshi Horiguchi, Atsushi Miyazaki, Kenji Matsumoto, Yoichiro Masuda, Keiji Yoshikawa, Tadashi Nakano

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Shumpei OgawaDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Hiromasa TakemuraCenter for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Japan.
Hiroshi HoriguchiDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Atsushi MiyazakiGlobal Education Center, Waseda University, Tokyo, Japan.
Kenji MatsumotoBrain Science Institute, Tamagawa University, Machida, Japan.
Yoichiro MasudaDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Keiji YoshikawaDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Tadashi NakanoDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Jikei University School of Medicine · JPMinamiaoyama Eye Clinic · JPNational Institute of Information and Communications Technology · JPTamagawa University · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Glaucoma is a disorder that involves visual field loss caused by retinal ganglion cell damage. Previous diffusion magnetic resonance imaging (dMRI) studies have demonstrated that retinal ganglion cell damage affects tissues in the optic tract (OT) and optic radiation (OR). However, because previous studies have used a simple diffusion tensor model to analyze dMRI data, the microstructural interpretation of white matter tissue changes remains uncertain. In this study, we used a multi-contrast MRI approach to further clarify the type of microstructural damage that occurs in patients with glaucoma. Methods: We collected dMRI data from 17 patients with glaucoma and 30 controls using 3-tesla (3T) MRI. Using the dMRI data, we estimated three types of tissue property metrics: intracellular volume fraction (ICVF), orientation dispersion index (ODI), and isotropic volume fraction (IsoV). Quantitative T1 (qT1) data, which may be relatively specific to myelin, were collected from all subjects. Results: In the OT, all four metrics showed significant differences between the glaucoma and control groups. In the OR, only the ICVF showed significant between-group differences. ICVF was significantly correlated with qT1 in the OR of the glaucoma group, although qT1 did not show any abnormality at the group level. Conclusions: Our results suggest that, at the group level, tissue changes in OR caused by glaucoma might be explained by axonal damage, which is reflected in the intracellular diffusion signals, rather than myelin damage. The significant correlation between ICVF and qT1 suggests that myelin damage might also occur in a smaller number of severe cases.

Indexed as

Multiparametric Magnetic Resonance ImagingAdultAgedFemaleGlaucoma, Open-AngleHumansMaleMiddle AgedOptic TractVision DisordersVisual FieldsVisual PathwaysWhite MatterYoung Adult

Identifiers

PMID35201263
PMCPMC8883150
OpenAlexW4213438191

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.