Evidence map›Paper›PMID 42265423›Full record

ArticleJournal of imaging informatics in medicine2026

Evaluation of the Effects of Diabetes Mellitus and Periodontitis on Alveolar Bone Radiodensity Using Hounsfield Unit Measurement and Fractal Analysis.

Sukran Acipinar, Kubra Ceran Deveci, Yunus Balel

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Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sukran AcipinarFaculty of Dentistry, Department of Periodontology, Sivas Cumhuriyet University, Sivas, Türkiye. sukranacipinar@cumhuriyet.edu.tr.ORCID http://orcid.org/0000-0003-1711-2183
Kubra Ceran DeveciFaculty of Dentistry, Department of Periodontology, Harran University, Sanliurfa, Türkiye.ORCID http://orcid.org/0000-0002-5962-7495
Yunus BalelFaculty of Dentistry, Department of Oral and Maxillofacial Surgery, Sivas Cumhuriyet University, Sivas, Türkiye.ORCID http://orcid.org/0000-0003-0496-8564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study aimed to evaluate the effects of diabetes mellitus and periodontitis on alveolar bone density and trabecular bone quality using cone-beam computed tomography (CBCT) and to compare fractal analysis with Hounsfield unit (HU) measurements. CBCT images of 217 individuals aged 20-80 years were retrospectively analyzed and divided into four groups. A standardized square region of interest was defined in the trabecular bone between the apex of the mandibular first molar and the superior border of the mandibular canal. HU values were obtained using CBCT software, while fractal dimension (FD) values were calculated using an automated single-click fractal analysis method. Significant differences in FD values were observed among groups in axial and coronal sections (p < 0.05), but sagittal sections showed no significant differences. HU values differed significantly among all groups in most sections (p < 0.05). Systemically and periodontally healthy individuals demonstrated higher HU values and lower FD values compared with those affected by diabetes mellitus or periodontitis. A weak positive correlation was observed between FD axial and HU sagittal values. Age was weakly negatively correlated with HU axial values, while no significant association with gender was found. Age had a significant negative effect on HU values in the axial and sagittal models, but no significant effect on any FD sections. CBCT-based analysis revealed section-dependent sensitivity of FD, with significant differences in axial and coronal sections but not sagittal. HU values partially reflected alveolar bone density differences between healthy and diseased individuals. FD and HU measurements provide complementary, not interchangeable, information on alveolar bone quality.

Indexed as

Bone densityCone-beam computed tomographyDiabetes mellitusFractalsPeriodontitisRetrospective Studies

Identifiers

PMID42265423

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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.