ArticleAnatomical science international2023
Prediction of root canal lengths and pulp volume of the maxillary permanent first molar based on stature, crown diameters, and facial morphometry.
Article in Anatomical science international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Association between the irrigation-agitation techniques and Periapical Healing of large periapical lesions: a Randomized Controlled Trial.Clinical oral investigations · 2024Trial
- Unveiling Gender Characteristics in Pakistan: Forensic Dentistry Insights through Panoramic Radiographs and Morphometrics Analysis.European journal of dentistry · 2026Article
- The Interpupillary Distance Differs Between Ethnicities and Associates with Horizontal Strabismus Patterns: Evidence from a Systematic Review and Meta-Analysis.Clinical ophthalmology (Auckland, N.Z.) · 2026Review
- The interpupillary distance differs between ethnicities and associates with horizontal strabismus patterns: Evidence from a systematic review and meta-analysis.medRxiv : the preprint server for health sciences · 2025Article
- Root and canal configurations of maxillary first premolars in 22 countries using two classification systems: a multinational cross-sectional study.Scientific reports · 2025Article
- Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning.Oral radiology · 2024Article
- Machine learning assisted 5-part tooth segmentation method for CBCT-based dental age estimation in adults.The Journal of forensic odonto-stomatology · 2024Article
- Root canal morphology of anterior permanent teeth in Jordanian population using two classification systems: a cone-beam computed tomography study.BMC oral health · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study purposed to develop statistical models to predict palatal (PRL), mesial (MRL), and distal (DRL) root canal length and pulp volume (PV) of the maxillary first permanent molar using stature, gender, mesiodistal (MD), and buccopalatal (BP) crown diameters and some facial morphometries. 57 individuals were included in the study. Cone beam computed tomography was used to measure root canal lengths and PV. The PV calculation was carried out using the software ITK-SNAP 3.4.0. PRL was positively correlated with BP, stature, middle facial height, interalar distance, and bicommissural distance (BCD) (p < 0.05). DRL was positively correlated with BP, MD, and stature (p < 0.05). MRL was positively correlated with BP, MD, stature, lower face height, bizygomatic distance, and BCD (p < 0.05). PV was negatively correlated with age and BCD (p < 0.05). Although all models have significant predictive power for the root lengths and PV, no model could explain variances greater than 30%. The highest and lowest predictive ability was obtained for PRL and DRL, respectively. While the most significant predictor was BP for PRL and DRL, it was the age for PV.
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