Evidence map›Paper›PMID 29343657›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2018

Combining Segmented Grey and White Matter Images Improves Voxel-based Morphometry for the Case of Dilated Lateral Ventricles.

Masami Goto, Osamu Abe, Shigeki Aoki, Koji Kamagata, Masaaki Hori, Tosiaki Miyati, Tsutomu Gomi, Tohoru Takeda

Abstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  2. Influence of Mild White Matter Lesions on Voxel-based Morphometry.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Masami GotoSchool of Allied Health Sciences, Kitasato University.
Osamu AbeDepartment of Radiology, The University of Tokyo Hospital.
Shigeki AokiDepartment of Radiology, Juntendo University School of Medicine.
Koji KamagataDepartment of Radiology, Juntendo University School of Medicine.
Masaaki HoriDepartment of Radiology, Juntendo University School of Medicine.
Tosiaki MiyatiGraduate School of Medical Science, Kanazawa University.
Tsutomu GomiSchool of Allied Health Sciences, Kitasato University.
Tohoru TakedaSchool of Allied Health Sciences, Kitasato University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the error in segmented tissue images and to show the usefulness of the brain image in voxel-based morphometry (VBM) using Statistical Parametric Mapping (SPM) 12 software and 3D T MATERIALS AND

methodsVBM analysis was performed on sagittal 3D-T

resultsIn evaluation of tissue volume, estimation error was larger using gray or white matter images than using the brain image, and estimation errors in gray and white matter volume change were found for the brain surface.

conclusionTo our knowledge, this is the first VBM study to show the possibility that VBM of gray and white matter volume on the brain surface may be more affected by individual differences in the level of dilation of the lateral ventricles than by individual differences in gray and white matter volumes. We recommend that VBM evaluation in patients with iNPH should be performed using the brain image rather than the gray and white matter images.

Indexed as

BrainHumansImaging, Three-DimensionalMagnetic Resonance ImagingNeuroimagingbrain volumetryidiopathic normal pressure hydrocephaluslateral ventriclesmissegmentationvoxel-based morphometry

Identifiers

PMID29343657
PMCPMC6196303

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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.