Title
Mesiobuccal2 (MB2) canal evaluation for maxillary first molar in Indian sub-population
Authors
Rishu Singh1, Aniket Jadhav1,*, Ashwini Gaikwad1, Madhura A Jadhav2 & Mrunal Shinde1
Affiliation
1Department of Conservative Dentistry and Endodontics, Bharati Vidyapeeth deemed to be University Dental College and Hospital, Pune, Maharashtra, India; 2Department of Orthodontics and Dentofacial Orthopedics, Bharati Vidyapeeth deemed to be University Dental College and hospital, Pune, Maharashtra, India; *Corresponding author
Rishu Singh - E-mail:
dr.rishusingh10.rs@gmail.com
Aniket Jadhav - E-mail: aniket.jadhav@bharatividyapeeth.edu
Ashwini Gaikwad - E-mail: ashwini.gaikwad@bharatividyapeeth.edu
Madhura A Jadhav - E-mail: madhura.kad@bharatividyapeeth.edu
Mrunal Shinde - E-mail: mrunal.shinde@bharatividyapeeth.edu
Article Type
Research Article
Date
Received March 1, 2026; Revised March 31, 2026; Accepted March 31, 2026, Published March 31, 2026
Abstract
The success of endodontic treatment relies on the knowledge of root canal anatomy and the ability to access, clean and fill the entire canal system. Therefore, it is of interest to evaluate the prevalence, position and canal arrangement of the MB2 (mesiobuccal 2) canal in 170 maxillary first molars. The MB2 canal was identified in 59.41% of the teeth, with Vertucci Type II arrangement being the most common (69.3%), followed by Type IV (30.7%). The average inter-canal distance between MB1 and MB2 was 1.84 ± 0.41 mm. Spatial analysis showed that the MB2 canal lies in close proximity to MB1, with no significant association between canal configuration and gender (p = 0.583). Thus, we show CBCT’s value in detecting complex canal morphology and the need for population-based studies in diverse populations like India to improve endodontic predictability.
Keywords
Cone beam computed tomography (CBCT), Indian population, prevalence, second mesiobuccalcanal
Citation
Singh et al. Bioinformation 22(3): 1820-1823 (2026)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
