Article Data

  • Views 184
  • Dowloads 101

Original Research

Open Access

Fractal dimension analysis of mandibular trabecular bone in severely infraoccluded primary molars: a retrospective case-control study

  • Ecem Elif Çege1,*,
  • Yasemin Çamlıbel2
  • Neşe Akal3

1Department of Pediatric Dentistry, Faculty of Dentistry, Karabük University, 78050 Karabük, Turkey

2Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ondokuz Mayıs University, 55270 Samsun, Turkey

3Department of Pediatric Dentistry, Faculty of Dentistry, Gazi University, 06490 Ankara, Turkey

DOI: 10.22514/jocpd.2026.019 Vol.50,Issue 1,January 2026 pp.196-205

Submitted: 08 May 2025 Accepted: 17 July 2025

Published: 03 January 2026

*Corresponding Author(s): Ecem Elif Çege E-mail: elifcege@karabuk.edu.tr

Abstract

Background: Infraocclusion is a condition where the occlusal surface of a tooth lies below the occlusal plane or the level of adjacent teeth. Etiological factors, such as ankylosis and increased masticatory forces, can directly affect alveolar bone development and resorption processes, potentially leading to microstructural alterations in the region. These changes can affect the density and organisation of mandibular trabecular bone. Fractal dimension (FD) analysis is a promising method for evaluating such structural changes. This study aimed to investigate the effect of severe infraocclusion in mandibular primary molars on trabecular bone structure using FD analysis of panoramic radiographs. Methods: This retrospective study included 72 children aged 7–12 years: 36 with severe infraocclusion and 36 age- and gender-matched controls without infraocclusion. Panoramic radiographs obtained at the Faculty of Dentistry, Gazi University between January 2020 and December 2024 were evaluated. Infraocclusions were classified according to the Brearley and McKibben system. FD values were calculated using ImageJ software. Statistical analyses were performed using SPSS version 27. Due to non-normal data distribution, appropriate statistical tests were applied. Chi-square test was used for gender and germ comparisons; Mann-Whitney U test for age and germ-related FD values; and Independent Samples T-test for FD comparisons between groups and genders. A p-value < 0.05 was considered significant. Results: A significant difference in FD values between groups only in the mandibular angulus region (p < 0.05), with higher values found in the study group. No gender-releated differences were observed (p > 0.05). Within the study group, a significant difference in FD values was observed in the condylar region according to the presence of the permanent tooth germ, with higher values recorded when the germ was present (p < 0.05). Conclusions: Infraocclusion might be associated with localised changes in the mandibular trabecular bone. FD analysis can provide valuable insight into its etiology and assist in clinical treatment planning. Further studies using with larger samples and periapical radiographs are recommended.


Keywords

Fractal dimension analysis; Infraocclusion; Mandible; Primary molar; Retrospective study


Cite and Share

Ecem Elif Çege,Yasemin Çamlıbel,Neşe Akal. Fractal dimension analysis of mandibular trabecular bone in severely infraoccluded primary molars: a retrospective case-control study. Journal of Clinical Pediatric Dentistry. 2026. 50(1);196-205.

References

[1] Odeh R, Mihailidis S, Townsend G, Lähdesmäki R, Hughes T, Brook A. Prevalence of infraocclusion of primary molars determined using a new 2D image analysis methodology. Australian Dental Journal. 2016; 61: 183–189.

[2] Hua L, Thomas M, Bhatia S, Bowkett A, Merrett S. To extract or not to extract? Management of infraoccluded second primary molars without successors. British Dental Journal. 2019; 227: 93–98.

[3] Andersson L, Blomlöf L, Lindskog S, Feiglin B, Hammarström L. Tooth ankylosis: clinical, radiographic and histological assessments. International Journal of Oral Surgery. 1984; 13: 423–431.

[4] Kurol J, Magnusson BC. Infraocclusion of primary molars: a histologic study. European Journal of Oral Sciences. 1984; 92: 564–576.

[5] Bjerklin K, Al-Najjar M, Kårestedt H, Andrén A. Agenesis of mandibular second premolars with retained primary molars. A longitudinal radiographic study of 99 subjects from 12 years of age to adulthood. The European Journal of Orthodontics. 2008; 30: 254–261.

[6] Lai P, Seow W. A controlled study of the association of various dental anomalies with hypodontia of permanent teeth. Pediatric Dentistry. 1989; 11: 291–296.

[7] Bezgin T, Özgül BM, Demirel A, Sarı Ş. Dental anomalies associated with mandibular second premolar agenesis. Turkiye Klinikleri Pediatric Dentistry-Special Topics. 2015; 1: 6–12. (In Turkish)

[8] Harokopakis-Hajishengallis E. Physiologic root resorption in primary teeth: molecular and histological events. Journal of Oral Science. 2007; 49: 1–12.

[9] Demirel A, Sarı Ş. Are increased masticatory forces risk for primary 2nd molars without successors? A 3D FEA study. Journal of Clinical Pediatric Dentistry. 2019; 43: 64–68.

[10] Franciotti R, Moharrami M, Quaranta A, Bizzoca ME, Piattelli A, Aprile G, et al. Use of fractal analysis in dental images for osteoporosis detection: a systematic review and meta-analysis. Osteoporos International. 2021; 32: 1041–1052.

[11] Sánchez I, Uzcátegui G. Fractals in dentistry. Journal of Dentistry. 2011; 39: 273–292.

[12] Updike SX, Nowzari H. Fractal analysis of dental radiographs to detect periodontitis‐induced trabecular changes. Journal of Periodontal Research. 2008; 43: 658–664.

[13] Jurczyszyn K, Kubasiewicz-Ross P, Nawrot-Hadzik I, Gedrange T, Dominiak M, Hadzik J. Fractal dimension analysis a supplementary mathematical method for bone defect regeneration measurement. Annals of Anatomy. 2018; 219: 83–88.

[14] Eser S, Sarıbaş E. Anatomical assessment of the trabecular structure of the alveolar bone in periodontal disease by fractal analysis method. Folia Morphologica. 2024; 83: 157–167.

[15] Mishra S, Kumar M, Mishra L, Panda S, Panda S, Lewkowicz N, et al. Estimation of cancellous changes using fractal analysis in patients with periodontitis. Biomedicines. 2023; 11: 2547.

[16] Kumar SS, Nagi R, Chacko R, Khan J. The effectiveness of fractal analysis in diagnosing temporomandibular joint disorders: a systematic review of clinical studies. Oral Radiology. 2024; 41: 153–168.

[17] Iezzi G, Aprile G, Tripodi D, Scarano A, Piattelli A, Perrotti V. Implant surface topographies analyzed using fractal dimension. Implant Dentistry. 2011; 20: 131–138.

[18] Huang C, Chen J, Chang Y, Jeng J, Chen C. A fractal dimensional approach to successful evaluation of apical healing. International Endodontic Journal. 2013; 46: 523–529.

[19] Umemori S, Tonami K, Nitta H, Mataki S, Araki K. The possibility of digital imaging in the diagnosis of occlusal caries. International Journal of Dentistry. 2010; 2010: 860515.

[20] Mincione G, Di Nicola M, Di Marcantonio MC, Muraro R, Piattelli A, Rubini C, et al. Nuclear fractal dimension in oral squamous cell carcinoma: a novel method for the evaluation of grading, staging, and survival. Journal of Oral Pathology & Medicine. 2015; 44: 680–684.

[21] Kato CN, Barra SG, Tavares NP, Amaral TM, Brasileiro CB, Mesquita RA, et al. Use of fractal analysis in dental images: a systematic review. Dentomaxillofacial Radiology. 2020; 49: 20180457.

[22] Kaya S, Avcı B. Evaluation of the fractal dimension in the apical region of primary teeth with unilateral and bilateral infraocclusion. Cumhuriyet Dental Journal. 2024; 27: 127–135.

[23] Sobolewska-Siemieniuk M, Grabowska SZ, Oczeretko E, Kitlas A, Borowska M. Fractal analysis of mandibular radiographic images in the region of reincluded teeth. Czasopismo Stomatologiczne. 2007; 60: 593–600. (In Polish)

[24] Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behavior Research Methods. 2009; 41: 1149–1160.

[25] Gulec M, Tassoker M, Ozcan S, Orhan K. Evaluation of the mandibular trabecular bone in patients with bruxism using fractal analysis. Oral Radiology. 2021; 37: 36–45.

[26] Brearley LJ, McKibben DH III. Ankylosis of primary molar teeth. I. Prevalence and characteristics. ASDC Journal of Dentistry for Children. 1973; 40: 54–63.

[27] Patano A, Inchingolo AM, Laudadio C, Azzollini D, Marinelli G, Ceci S, et al. Therapeutic strategies of primary molar infraocclusion: a systematic review. Children. 2023; 10: 582.

[28] White SC, Rudolph DJ. Alterations of the trabecular pattern of the jaws in patients with osteoporosis. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology. 1999; 88: 628–635.

[29] Suer BT, Yaman Z, Buyuksarac B. Correlation of fractal dimension values with implant insertion torque and resonance frequency values at implant recipient sites. International Journal of Oral & Maxillofacial Implants. 2016; 31: 55–62.

[30] Sevimay MA, Gürsu M, Çege MA, Çankal DA, Akarslan Z, Çetiner S. Fractal dimension analysis of mandibular trabecular bone in patients receiving antiresorptive therapy for osteoporosis and oncologic conditions. Diagnostics. 2025; 15: 748.

[31] Çitir M, Karslioglu H, Uzun C. Evaluation of mandibular trabecular and cortical bone by fractal analysis and radiomorphometric indices in bruxist and non-bruxist patients. BMC Oral Health. 2023; 23: 522.

[32] Gunacar DN, Erbek SM, Aydınoglu S, Kose TE. Evaluation of the relationship between tooth decay and trabecular bone structure in pediatric patients using fractal analysis: a retrospective study. European Oral Research. 2022; 56: 67–73.

[33] Kolcakoglu K, Amuk M, Sirin Sarıbal G. Evaluation of mandibular trabecular bone by fractal analysis on panoramic radiograph in paediatric patients with sleep bruxism. International Journal of Paediatric Dentistry. 2022; 32: 776–784.

[34] Southard TE, Southard KA, Jakobsen JR, Hillis SL, Najim CA. Fractal dimension in radiographic analysis of alveolar process bone. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology. 1996; 82: 569–576.

[35] Temur KT, Magat G, Coskunarslan A, Önsüren AS, Özcan S. Evaluation of mandibular trabecular bone by fractal analysis in pediatric patients with hypodontia. BMC Oral Health. 2024; 24: 1005.

[36] Créton M, Geraets W, Verhoeven JW, van der Stelt PF, Verhey H, Cune M. Radiographic features of mandibular trabecular bone structure in hypodontia. Clinical Implant Dentistry and Related Research. 2012; 14: 241–249.

[37] Robinson S, Chan MW. New teeth from old: treatment options for retained primary teeth. British Dental Journal. 2009; 207: 315–320.

[38] Chugh T, Jain AK, Jaiswal RK, Mehrotra P, Mehrotra R. Bone density and its importance in orthodontics. Journal of Oral Biology and Craniofacial Research. 2013; 3: 92–97.

[39] Aniyo R, Kaur G. Different techniques of dental radiography for paediatric patients: a review. Journal of Advanced Medical and Dental Sciences Research. 2019; 7: 75–79.

[40] Baydar O, Onem E, Mert A, Baksi BG. Evaluation of trabecular bone microstructure and cortical morphology using cone-beam and micro-CT images: impact of tube voltage setting. BMC Oral Health. 2025; 25: 664.

[41] Bollen A, Taguchi A, Hujoel P, Hollender L. Fractal dimension on dental radiographs. Dentomaxillofacial Radiology. 2001; 30: 270–275.


Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,500 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Biological Abstracts Easily discover critical journal coverage of the life sciences with Biological Abstracts, produced by the Web of Science Group, with topics ranging from botany to microbiology to pharmacology. Including BIOSIS indexing and MeSH terms, specialized indexing in Biological Abstracts helps you to discover more accurate, context-sensitive results.

Google Scholar Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines.

JournalSeek Genamics JournalSeek is the largest completely categorized database of freely available journal information available on the internet. The database presently contains 39226 titles. Journal information includes the description (aims and scope), journal abbreviation, journal homepage link, subject category and ISSN.

Current Contents - Clinical Medicine Current Contents - Clinical Medicine provides easy access to complete tables of contents, abstracts, bibliographic information and all other significant items in recently published issues from over 1,000 leading journals in clinical medicine.

BIOSIS Previews BIOSIS Previews is an English-language, bibliographic database service, with abstracts and citation indexing. It is part of Clarivate Analytics Web of Science suite. BIOSIS Previews indexes data from 1926 to the present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Scopus: CiteScore 2.3 (2024) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Submission Turnaround Time

Top