Evidence map›Paper›PMID 42464238›Full record

ArticleBMC oral health2026

A methodological framework for fractal analysis in monitoring periapical lesions after endodontic retreatment: a comprehensive parameter optimization study.

Kader Azlağ Pekince, Adem Pekince, Yağız Özbay

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Article in BMC oral health, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kader Azlağ PekinceDepartment of Oral and Maxillofacial Radiology, Karabük University Faculty of Dentistry, Karabük, Türkiye. azlagkader@karabuk.edu.tr.ORCID 0000-0002-3707-042X
Adem PekinceDepartment of Oral and Maxillofacial Radiology, Karabük University Faculty of Dentistry, Karabük, Türkiye.ORCID 0000-0002-9757-5331
Yağız ÖzbayDepartment of Endodontics, Karabük University Faculty of Dentistry, Karabük, Türkiye.ORCID 0000-0003-2028-8120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis retrospective study aimed to investigate the efficacy of Fractal Analysis (FA) in the quantitative assessment of periapical bone healing after non-surgical endodontic retreatment, and to standardize the key methodological parameters - region of interest (ROI) selection, image processing filters, and box-counting algorithms - that govern its reliability.

methodsNinety-five patients free of systemic conditions affecting bone metabolism who had undergone endodontic retreatment were divided into two groups: a healed group with PAI < 3 (n = 60) and a non-healed group with PAI ≥ 3 (n = 35). The non-healed group served as a clinical non-healing reference group to verify whether FA parameters remained stable in the absence of biological change. A total of 11,970 Fractal Dimension (FD) measurements were performed on 190 images (7 ROI types × 3 filters × 3 algorithms = 63 combinations). Seven ROI types (ROI-1 through ROI-7), three Gaussian filters (σ = 4, 12, 32 pixels), and three box-counting algorithms (B64, B32, BoneJ Auto [BA]) were tested. Mixed-effects GLM was used as the primary analysis; paired t-tests with Benjamini-Hochberg FDR correction (q < 0.05) served as the confirmatory analysis.

resultsIn the healed group, FD increased significantly over one year of follow-up (p < 0.001, Cohen's d = 1.07, AUC = 0.91 [ROI-1, BA + σ4; 95% CI: 0.85-0.96]). In the non-healed group, no significant FD change was observed for any combination (all p > 0.05, d ≤ 0.07). The highest discriminatory power was achieved with lesion-focused large ROIs, and the BA + σ4 combination yielded the strongest results across all significant regions.

conclusionFA is a powerful quantitative tool complementary to PAI for monitoring endodontic healing. A lesion-focused circular/polygonal ROI (ROI-1/ROI-2), σ = 4 filter, and BoneJ Auto algorithm is recommended as a standardized protocol for 2D FA studies.

Indexed as

FractalsPeriapical DiseasesRoot Canal TherapyAdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedReproducibility of ResultsRetreatmentRetrospective StudiesWound HealingBone HealingBoneJ Auto AlgorithmClinical Non-Healing Reference GroupEndodontic RetreatmentFractal AnalysisGaussian FilterPeriapical IndexPeriapical LesionROI Selection

Identifiers

PMID42464238
PMCPMC13429020

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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.