Literature DB >> 26987688

Micro-Computed Tomography Study of Filling Material Removal from Oval-shaped Canals by Using Rotary, Reciprocating, and Adaptive Motion Systems.

Bruno Monguilhott Crozeta1, Yara Teresinha Correa Silva-Sousa2, Graziela Bianchi Leoni1, Jardel Francisco Mazzi-Chaves1, Thais Fantinato2, Flares Baratto-Filho3, Manoel Damião Sousa-Neto4.   

Abstract

INTRODUCTION: This study evaluated filling material removal from distal oval-shaped canals of mandibular molars with rotary, reciprocating, and adaptive motion systems by using micro-computed tomography.
METHODS: After cone-beam computed tomography scanning, 21 teeth were selected, prepared up to a size 40 file, root filled, and divided into 3 groups (n = 7) according to the filling material removal technique: group PTUR, ProTaper Universal Retreatment combined with ProTaper Universal F2, F3, F4, and F5 files; group RP, Reciproc R50 file; and group TFA: TF Adaptive 50.04 files. The specimens were scanned preoperatively and postoperatively to assess filling material removal by using micro-computed tomography imaging, and the percent volume of residual filling material was calculated.
RESULTS: The statistical analysis showed the lowest percent volume of residual filling material at the coronal third in all groups (P < .05). There was no significant difference among the systems in the coronal third (P > .05). In the middle third, group TFA (31.2 ± 10.1) showed lower volume of residual filling material than group RP (52.4 ± 14.1) (P < .05). In the apical third, groups TFA (44.8 ± 20.6) and PTUR (48.6 ± 16.8) presented a lower percent volume of filling material than group RP (70.6 ± 7.2) (P < .05), as confirmed by the qualitative analysis.
CONCLUSIONS: The use of the adaptive motion increased the amount of root filling removed in the middle and apical thirds compared with the reciprocating motion. However, no technique was able to completely remove the filling material from the canals.
Copyright © 2016 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed microtomography; Retreatment; TFA adaptive; reciprocating motion

Mesh:

Substances:

Year:  2016        PMID: 26987688     DOI: 10.1016/j.joen.2016.02.005

Source DB:  PubMed          Journal:  J Endod        ISSN: 0099-2399            Impact factor:   4.171


  14 in total

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