3D Analysis of D-RaCe and Self-Adjusting File In Removing Filling Materials from Curved Root Canals Instrumented and Filled With Different Techniques

N. Simsek, F. Ahmetoglu, A. Keles, E.T. Bulut, and K. Er

The Scientific World Journal 2014;2014:836513.


ABSTRACT: The aim of this study was to compare the efficacy of D-RaCe files and a self-adjusting file (SAF) system in removing filling material from curved root canals instrumented and filled with different techniques by using microcomputed tomography (micro-CT). The mesial roots of 20 extracted mandibular first molars were used. Root canals (mesiobuccal and mesiolingual) were instrumented with SAF or Revo-S. The canals were then filled with gutta-percha and AH Plus sealer using cold lateral compaction or thermoplasticized injectable techniques. The root fillings were first removed with D-RaCe (Step 1), followed by Step 2, in which a SAF system was used to remove the residual fillings in all groups. Micro-CT scans were used to measure the volume of residual filling after root canal filling, reinstrumentation with D-RaCe (Step 1), and reinstrumentation with SAF (Step 2). Data were analyzed using Wilcoxon and Kruskal-Wallis tests. There were no statistically significant differences between filling techniques in the canals instrumented with SAF (P = 0.292) and Revo-S (P = 0.306). The amount of remaining filling material was similar in all groups (P = 0.363); all of the instrumentation techniques left filling residue inside the canals. However, the additional use of SAF was more effective than using D-RaCe alone.


The full article is available on Researchgate

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Additional Info

  • ReDent Nova’s note:


    Despite the favorable results for the SAF System, it has not been used according to the clinical protocol of the system. The Self-Adjusting File was only used for 2 minutes, without any solvent, and the article does not indicate whether a 1.5mm or 2.0mm SAF was used. Had it been used according to the manufacturer's directions, the results are likely to be even better.

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  • View abstract on PubMed. PMID: 25114976