Comparative Evaluation of Canal Transportation and Centering Ability of TruNatomy and MicroMega One RECI in Curved Root Canals
DOI:
https://doi.org/10.5281/zenodo.10701684Keywords:
Canal Transportation, Centering Ability, Curved Root Canals, TruNatomy, MicroMega One RECIAbstract
Objectives: To compare the canal transportation and centering ability of two different file systems, TruNatomy (TRN) and MicroMega One RECI (MMOR), in curved root canals.
Materials and Methods: Forty upper premolars with root canal curvatures ranging from 25° to 40° were divided into two groups (n=20): Group A, instrumented with TRN file system in continuous rotation motion, and Group B, instrumented with the MMOR file system in reciprocating motion. Pre- and post-instrumentation CBCT scans were taken using the Kodak Carestream CS 9300 machine to analyze canal transportation and centering ability at different canal levels (2mm, 5mm, 8mm). Data analysis was conducted using a student t-test for comparison between the groups.
Results: The study demonstrated that the MMOR system significantly reduced canal transportation at 5mm and 8mm levels in the mesiodistal plane compared to the TRN system (p<0.05). In the buccolingual plane, significant differences were noted only at 8mm. For centering ability, MMOR showed superior performance at 5mm and 8mm in the mesiodistal plane (p<0.05), whereas TRN was better at 2mm (p<0.05). No significant differences were observed in the buccolingual plane at 5mm and 8mm levels. These findings highlight the distinct advantages of each system in specific clinical contexts.
Conclusion: While both systems are clinically effective, their selection should be tailored to the specific requirements of each case. The MMOR system may be preferable in scenarios where minimal canal transportation and precise centering are paramount. In contrast, the TRN system is a viable option in cases requiring strong apical centering ability.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Aditi Jain, Ahmed Al Wahaibi, Gurdeep Singh, Abubaker Qutieshat
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
CC Attribution-NonCommercial 4.0