ArticleInternational journal of dentistry2026
Evaluation of Symmetry and Morphology in Mandibular Permanent Anterior Teeth Using Cone-Beam Computed Tomography in an Iranian Population.
Article in International journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Evaluation of Symmetry and Morphology in Mandibular Permanent Anterior Teeth Using Cone-Beam Computed Tomography in an Iranian Population.International journal of dentistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Achieving successful root canal treatment requires detailed understanding of the root canal. A clear and detailed understanding of the root canal anatomy of mandibular anterior teeth is of great importance for endodontists. Several techniques have been introduced for evaluating root canal morphology, including cone-beam computed tomography (CBCT). The current study applied CBCT to evaluate the root canal configurations and symmetry patterns in the lower anterior teeth in an Iranian sample. Materials and Methods: In this descriptive cross-sectional study, 148 CBCT images from 148 patients at the Oral and Maxillofacial Radiology Clinic were chosen on the basis of predefined inclusion and exclusion criteria. A total of 852 permanent mandibular anterior teeth were examined to determine the number of roots and canals, and the canal morphology was categorized on the basis of Vertucci's system, as well as symmetry, utilizing CBCT image analysis. The results were compared based on gender and the right versus left side of the mandible. Results: Participant ages ranged between 16 and 60 years, with an average age of 36.76 ± 9.67 years; 44.6% were male and 55.4% were female. Both the lateral and central incisors consistently showed a single root, whereas 3.2% of canines had a secondary root. Second canals were found in 32.6% of centrals, 29.7% of laterals, and 6.1% of canines. The most commonly observed type of Vertucci root canal morphology was type I, followed by type III for incisors, while type I was also predominant in canines. The symmetry rates for centrals, laterals, and canines were 90.1%, 93.1%, and 91.4%, respectively. There were no significant differences in the number of roots and canals, morphological frequency, or symmetry between female and male patients or between both sides of the mandible. Conclusion: Mandibular anterior teeth predominantly exhibit single-rooted structures with one root canal. Vertucci type I morphology is the most prevalent among these teeth, with morphological frequency unaffected by jaw side or sex. Additionally, the findings indicate a high degree of symmetry among mandibular anterior teeth, with no significant differences between genders.
Indexed as
Identifiers
What OpenQuestion holds
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.