Prediction of root canal lengths and pulp volume of the maxillary permanent first molar based on stature, crown diameters, and facial morphometry

Hatipoglu F. P., Aricioglu B., Hatipoglu O., KÖSE T. E., GÜNAÇAR D. N.

ANATOMICAL SCIENCE INTERNATIONAL, cilt.98, sa.3, ss.454-462, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 98 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s12565-023-00727-5
  • Dergi Adı: ANATOMICAL SCIENCE INTERNATIONAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.454-462
  • Anahtar Kelimeler: Cone-Beam Computed Tomography, Endodontics, Regression Analysis, Root Canal, SEXUAL-DIMORPHISM, CENTRAL INCISORS, CANINES
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

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.