Evidence map›Paper›PMID 23975065›Full record

ArticleOdontology2015

Three-dimensional observation of mouse tongue muscles using micro-computed tomography.

Hidekazu Aoyagi, Shin-Ichi Iwasaki, Kenzirou Nakamura

Abstract read
PubMed Publisher
In one paragraph

Article in Odontology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Hidekazu AoyagiAdvanced Research Center, The Nippon Dental University School of Life Dentistry at Niigata, 1-8 Hamaura-chou, Chuo-ku, Niigata, 951-8580, Japan, aoy@ngt.ndu.ac.jp.
Shin-Ichi Iwasaki
Kenzirou Nakamura
Nippon Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to obtain information about the mouse tongue muscle rendered using micro-computed tomography (μCT) at low, middle, and high magnifications. Three-dimensional (3D) μCT is used in various fields. Most μCT observations are restricted to hard tissue in biomaterial samples. Recently, with the use of osmium tetroxide, μCT has been effectively employed to observe soft tissue; it is now believed that μCT observation of soft tissue is feasible. On the other hand, the structure of the tongue muscle has been well studied, but cross-sectional imaging enhanced by 3D rendering is lacking. We chose the mouse tongue as a soft tissue case study for μCT and generated cross-sectional images of the tongue enhanced by 3-D image rendering with histological resolution. During this observation, we developed new methods of low-magnification observation to show the relation between the tongue muscles and surrounding tissues. We also applied high-resolution μCT in high-magnification observation of muscle fiber fascicles. Our methodological techniques give the following results: (1) For low-magnification observation (field of view: 12,000 μm), pretreatment with decalcification and freeze drying is suitable for observing the area between the muscle of the tongue and the bone around the tongue using μCT. (2) For middle-magnification observation (Field of view: 3,500 μm), the use of osmium tetroxide to observe the muscle arrangement of the tongue by μCT is suitable. (3) For high-magnification observation (Field of view: 450 μm), high-resolution μCT is suitable for observation of the transversus muscle fiber fascicles.

Indexed as

Imaging, Three-DimensionalAnimalsIn Vitro TechniquesMiceMuscle, SkeletalRadiographic Image Interpretation, Computer-AssistedTongueX-Ray Microtomography

Identifiers

PMID23975065
OpenAlexW2018198938

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.