Evidence map›Paper›PMID 41202534›Full record

ArticleInternational dental journal2026

CBCT-Based Multilevel Analysis of Canal Morphology and Predictors of Variation in Mandibular Incisors of Thai Population.

Purin Pukkawanna, Chootima Ratisoontorn, Pornkawee Charoenlarp, Chanakarn Sinsareekul

Abstract read
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Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
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4 · The record

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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

4 authors.

Purin PukkawannaResidency Training Program in Endodontics, Department of Operative Dentistry, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Chootima RatisoontornDepartment of Operative Dentistry, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Pornkawee CharoenlarpDepartment of Radiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Chanakarn SinsareekulIntercollaborative Endodontics and Engineering Research Group, Department of Operative Dentistry, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand. Electronic address: chanakarn.si@chula.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

aimsThis study aimed to identify predictive factors associated with morphological variations in the root canal anatomy of mandibular incisors, as well as to assess the in vivo prevalence of such variations in a Thai subpopulation using cone-beam computed tomography (CBCT).

methodsA total of 760 CBCT scans, including 1520 mandibular central incisors (MCIs) and 1520 mandibular lateral incisors (MLIs), were examined. Demographic data (age and gender) and anatomical measurements (root length and root width at the cementoenamel junction [CEJ]) were collected. Descriptive statistics, including relative frequencies (percentages) of root canal configuration types and the number of roots and root canals, were reported. Additionally, teeth were categorised based on the presence or absence of an additional lingual canal. Univariate and multivariate multilevel logistic regression analyses were conducted to determine associations, and receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of significant variables. A significant threshold of 5% was applied for statistical analyses.

resultsAll mandibular incisors primarily exhibited a single root canal configuration. However, the second canal was present in 17% of mandibular central incisors and 36% of mandibular lateral incisors. Bilateral symmetry in root canal morphology was observed in more than 86% of cases. Among all variables, only the root width ratio at the CEJ (greater than 1.6 mm) showed a significant association with the presence of a lingual canal.

conclusionThese findings suggest that the CEJ root width ratio is a reliable anatomical predictor of lingual canal presence in mandibular incisors. CLINICAL RELEVANCE: This study demonstrates that a root width ratio at the CEJ greater than 1.6 mm is significantly associated with the presence of a lingual canal in mandibular incisors. Clinicians should consider this anatomical parameter when planning endodontic procedure.

Indexed as

Cone-Beam Computed TomographyDental Pulp CavityIncisorTooth RootAdolescentAdultFemaleHumansMaleMandibleMiddle AgedMultilevel AnalysisSoutheast Asian PeopleThailandYoung AdultCone beam computed tomographyMandibular incisorsMorphological awarenessPredictive factorsRoot canal anatomy

Identifiers

PMID41202534
PMCPMC12828153

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LicenceCC BY-NC-ND
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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.