Evidence map›Paper›PMID 41740979›Full record

ArticleRestorative dentistry & endodontics2026

Determination of optimal horizontal beam angulations for canal separation in mandibular molars using cone-beam computed tomography: a retrospective image-based analysis.

Benedikt Schneider, Tamina Tepe, Daniel Rapp, Wilhelm Frank, Maria Lessani, Constantin von See, Sebastian Fitzek, Jörg Philipp Tchorz

Abstract read
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Article in Restorative dentistry & endodontics, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Benedikt SchneiderCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Tamina TepeDivision for Endodontics, Center for Operative Dentistry and Periodontology, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Daniel RappDivision for Endodontics, Center for Operative Dentistry and Periodontology, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Wilhelm FrankDepartment of Health System Research, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Maria LessaniEndoclinic, Practice limited to Endodontics, North London, UK.
Constantin von SeeResearch Center for Digital Technologies in Dentistry and CAD/CAM, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Sebastian FitzekMedical Image Analysis & Artificial Intelligence (MIAAI) Group, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Jörg Philipp TchorzDivision for Endodontics, Center for Operative Dentistry and Periodontology, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: : Two-dimensional intraoral radiographs often obscure canals due to superimposition, especially in mandibular molars with complex anatomy. This cone-beam computed tomography (CBCT) study identified the horizontal beam angles at which first and second molar canals overlap and derived clinically applicable angulations for enhanced canal separation. Methods: Eighty-five CBCT datasets from 100 patients met the inclusion criteria, yielding 318 mandibular molars (160 first, 158 second). Using ImageJ, absolute horizontal overlap angles (α) were measured to determine the corresponding theoretical separation angles defined as δ* = 90° - α. Separability was modeled across horizontal beam angulation increments from -45° to +45° in five steps, and Wilson's 95% confidence intervals were computed. Group comparisons used the Mann-Whitney U and independent t-tests (p ≤ 0.05). Results: Minimal mesial beam angulations for effective canal separability (δ* = 90° - α) ranged from approximately 7° to 15° for mesial roots and approximately 10° to 13° for distal roots. No significant mesial differences were observed between first and second molars (p > 0.30). Distal roots of second molars exhibited significantly higher angulations (p = 0.003 coronal, p < 0.001 apical). Mesial canals achieved ≥95% separability at approximately 25° and ≥99% at approximately 35°; distal canals required approximately 30° and approximately 40°. Conclusions: A mesial beam angulation of 30° to 35° provides probable canal differentiation in mandibular molars, separating mesial canals in ≥99% and distal canals in ≥95% of cases. This range refines previous recommendations and supports the as low as reasonably achievable (ALARA) principle.

Indexed as

Cone-beam computed tomographyDental pulp cavityDental radiographyEndodonticsX-rays

Identifiers

PMID41740979
PMCPMC12989803

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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.