Evidence map›Paper›PMID 34659416›Full record

ArticleInternational journal of dentistry2021

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis.

Parisa Soltani, Sajad Sami, Jaber Yaghini, Ehsan Golkar, Francesco Riccitiello, Gianrico Spagnuolo

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Article in International journal of dentistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Parisa SoltaniDepartment of Oral and Maxillofacial Radiology, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0002-9273-5279
Sajad SamiStudents' Research Committee, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0002-4946-8777
Jaber YaghiniDepartment of Periodontics, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0003-1775-3343
Ehsan GolkarMedical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Francesco RiccitielloDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy.
Gianrico SpagnuoloDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy.ORCID https://orcid.org/0000-0003-3769-9786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvaluation of detailed features of the supporting bone is an important step in diagnosis and treatment planning for teeth with clinical attachment loss. Fractal analysis can be used as a method for evaluating the complexity of trabecular bone structures. The aim of this study was to evaluate the trabecular bone changes in periapical radiographs of patients with different stages of periodontitis using fractal analysis.

methodsThis comparative cross-sectional study was performed on patients with and without clinical attachment loss in mandibular first molars. Teeth with clinical attachment loss were divided into mild, moderate, and severe periodontitis groups. Digital periapical radiographs were obtained from the mandibular first molars using the same exposure parameters. DICOM file of the radiographs was exported to ImageJ software for fractal analysis. Three regions of interest (ROIs) were considered in each radiograph: two proximal ROIs mesial and distal to the mandibular first molar and one apical ROI. Fractal dimension (FD) values were calculated using the fractal box counting approach. Statistical analysis was performed using the chi-square test, Mann-Whitney test, intraclass correlation coefficient, and ANOVA (

resultsFD values were significantly different between moderate and severe periodontitis and healthy periodontal bone (

conclusionFractal analysis is a useful tool for evaluation of bone alterations in moderate and severe periodontitis, but was not able to detect the most initial radiographic bone signs of mild periodontitis.

Identifiers

PMID34659416
PMCPMC8516588

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