Evidence map›Paper›PMID 40140784›Full record

ArticleBMC oral health2025

3D modelling and x-ray depth analysis map of the pulp with computer software via digital periapical radiography and cone beam computed tomography.

Turgut Felek, Samed Satir, Selale Ozel, H Kursat Celik

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Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Turgut FelekInstitute of Natural and Applied Sciences, Akdeniz University, Antalya, Turkey.ORCID 0000-0003-4466-6456
Samed SatirDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Karamanoglu Mehmetbey University, Karaman, 70200, Turkey. samedsatir@yahoo.com.ORCID 0000-0002-5863-5928
Selale OzelDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Altınbas University, Istanbul, Turkey.ORCID 0000-0002-7399-1074
H Kursat CelikDepartment of Agr. and Technology Engineering, Akdeniz University, Antalya, Turkey.ORCID 0000-0001-8154-6993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeriapical radiographs (PAR) offer information about the pulp and periodontal health of teeth. However, intraoral radiographs are insufficient for diagnosing buccolingual anomalies and variations such as bifid canals due to their two-dimensional nature. Cone beam computed tomography (CBCT) is the gold standard for 3D imaging in the clinic but requires additional radiation. The aim of this study was to create a software (XPAR) which obtains x-ray depth analysis and 3D modelling of the pulps of single-rooted teeth by converting the grey values in the original radiographs into numerical data. MATERIALS AND

methodsTwo single-rooted teeth were included in the experimental part of the study. Chicken fibula bone was preferred for alveolar bone simulation because it could simulate cortical and trabecular structures due to similarity. A total of four images (60kVp & 70kVp; single alveolar bone & double alveolar bone) were obtained. The aim of this experimental part is to test the repeatability and realism of the algorithm to be created for pulp modelling. Retrospectively, 31 single-rooted teeth with both periapical radiography and cone-beam computed tomography imaging were included in the retrospective part of the study. According to XPAR, depth increase areas were interpreted as root resorption and accessory canal. Depth decrease areas were evaluated as the transformation of the pulp from an elliptical to an oval form, pulp stone, bifid canal formation and the presence of thick alveolar bone. The diagnostic accuracy of XPAR application on pathological and morphological changes was evaluated by comparing the obtained results with CBCT.

results80% of the analyses diagnosed as bifurcation by XPAR application were supported by CBCT. This rate decreased to 27% in the diagnosis of transitions from elliptical to oval form. A total of 5 and 19 linear formations observed in the form of depth decrease and increase, respectively, were accepted as image errors in XPAR.

conclusionBuccolingual bifid canal formations and pulp obliterations can be diagnosed with a rate of nearly 50% with the depth decrease finding obtained in XPAR application. Imaging errors caused by deformed detectors are typically observed as linear formations.

Indexed as

Cone-Beam Computed TomographyDental PulpImaging, Three-DimensionalRadiography, BitewingRadiography, Dental, DigitalSoftwareAlgorithmsAlveolar ProcessAnimalsChickensComputer SimulationDental Pulp CavityHumansReproducibility of ResultsRetrospective StudiesTooth RootComputer softwareCone-beam computed tomographyDigital image processingPeriapical radiography

Identifiers

PMID40140784
PMCPMC11948713

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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.