Micro-computed tomographic evaluation of removal and extrusion of root filling material during canal retreatment
DOI:
https://doi.org/10.14393/BJ-v32n4a2016-33193Keywords:
Apical extrusion, Micro-computed tomographic, Root canal filling.Abstract
This study aimed to assess the efficiency of manual and rotary techniques for removing root filling material in endodontic treated canals and to evaluate the extrusion of debris via apical foramen. After access preparation, thirty human lower central incisors were instrumented, filled and divided into two groups (n=15): MN- manual retreatment technique; RT- rotary retreatment technique. The teeth were submitted to micro-computed tomographic scanning before and after the retreatment procedure, for quantifying the remaining filling material by relating the initial and final conditions. The analysis was conducted separately in all root thirds. The volume of material extruded through the apical foramen was also quantified. The data were statistically analyzed using t-test and two-way analysis of variance (ANOVA) at 5% of significance. No significant differences were detected between remaining filling material for the techniques evaluated (p=0.74), even considering the apical third only (p>0.75). Significant differences were found for the remaining filling material verified between the cervical third and middle/apical thirds, with lower values being observed at the cervical third for both groups (p<0.05). Apical extrusion of filling material was verified in seven specimens (2 from MN group and 5 from RT group). Both techniques showed similar performance for removing filling material from the root canal, considering the whole tooth or the root thirds independently. The apical extrusion of filling material observed was not sufficient to indicate which technique has increased tendency to induce more events during retreatments.
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Copyright (c) 2016 Kellen Cristina Mendes Azevedo, Analice Giovani Pereira, Maria Antonieta Veloso Carvalho de Oliveira, Luís Henrique Araújo Raposo, Manoel Damião Sousa-Neto, Jesus Djalma Pécora, João Carlos Gabrielli Biffi
This work is licensed under a Creative Commons Attribution 4.0 International License.