ArticleJournal of clinical medicine2023
Applicability of Fractal Analysis for Quantitative Evaluation of Midpalatal Suture Maturation.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Longitudinal Association Between Severe Early Childhood Caries and Mandibular Condylar Trabecular Organization: A 3-Year Retrospective Controlled Study.Journal of clinical medicine · 2026Article
- Reliability of Gemini 2.5 Pro, ChatGPT 4.1, DeepSeek V3, and Claude Opus 4 in generating standardized CMR protocols.European radiology experimental · 2026Article
- Evaluation of the density of the midpalatal suture after maxillary expansion: a comparative observational study.Head & face medicine · 2025Observational
- Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans.Frontiers in dental medicine · 2025Article
- Investigation of changes caused by Rapid Maxillary Expansion in mandibular bone and temporomandibular joint trabecular structure using fractal analysis.BMC oral health · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe treatment of transversal maxillary deficiency usually aims at skeletal expansion. The treatment option highly depends on the maturation stage of the midpalatal suture (MPS), which may vary between individuals at the same chronological age. Therefore, the individual determination of the MPS maturation is crucial.
aimsOur aim was to investigate the applicability of fractal analysis for the quantitative evaluation of MPS maturation.
methodsNine experienced orthodontists were asked to evaluate the MPS maturation on 51 cone beam computed tomography (CBCT) scans according to the Angelieri classification method. Intra- and inter-examiner reliability was measured using Cohen's Kappa coefficient. The stages were agreed upon according to the results of the examiners with the highest strength of agreement. Fractal analysis was then performed on the CBCTs and the correlation between the fractal dimension values and maturation stages was then evaluated. Optimal fractal dimension cut-off values were determined using a receiver operating characteristic curve.
resultsThe cut-off point was found at 1.073, at which the use of fractal dimension for predicting MPS maturation showed 100% sensitivity, 93.7% specificity, 9.5% false positive, 0% false negative rate.
conclusionOur results provided further evidence that fractal analysis is a reliable tool to determine MPS maturation stage.
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Registered trials
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.