Evidence map›Paper›PMID 24597910›Full record

ArticleDento maxillo facial radiology2014

Cross gender-age trabecular texture analysis in cone beam CT.

H Ling, X Yang, P Li, V Megalooikonomou, Y Xu, J Yang

Open access · greenAbstract read
In one paragraph

Article in Dento maxillo facial radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

H LingDepartment of Computer and Information Sciences, Temple University, Philadelphia, PA, USA.
X Yang
P Li
V Megalooikonomou
Y Xu
J Yang
Temple University · USSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether multiple texture features in different regions of interest (ROIs) on cone beam CT (CBCT) are correlated with gender-age variation of trabecular patterns.

methodsCBCT volumes from 96 subjects were used. The data set was divided into four gender-age subgroups, including males younger than 40 years, males older than 40 years, females younger than 40 years and females older than 40 years. For each volume, cubes containing trabecular patterns at four ROIs in the jaws were manually cropped. 18 distinct texture features were calculated and their correlation with gender-age variations at different ROIs was studied through t-test statistical analysis.

resultsFor the 432 test pairs with different gender-age groups at different ROIs and texture features tested, 149 of them were shown to be statistically different at the 0.05 significance level and 60 of them at the 0.001 significance level. These features can therefore capture changes in trabecular patterns and have the potential to be used for trabecular analysis. Furthermore, fractal features were found to be better than intensity features in separating different gender-age groups. Trabecular patterns in the body of the mandible were more correlated with gender-age changes than other ROIs.

conclusionsMultiple texture features on CBCT were found to be correlated with the cross gender-age variation of trabecular patterns. The results support the use of CBCT for advanced trabecular analysis, including osteoporosis screening tools in the jaws.

Indexed as

AdultAge FactorsAlgorithmsBone Diseases, MetabolicCone-Beam Computed TomographyFemaleFractalsHumansImage Processing, Computer-AssistedMaleMandibleMaxillaOsteoporosisRadiographic Image Interpretation, Computer-AssistedSex Factorscomputer-assisted image analysiscone-beam computed tomographyfractalsosteoporosisradiology

Identifiers

PMID24597910
PMCPMC4082259
OpenAlexW2050347140

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.