Assessment of Apically Extruded Debris Produced by the Self-Adjusting File System

被引:38
|
作者
De-Deus, Gustavo Andre [1 ]
Nogueira Leal Silva, Emmanuel Joao [1 ]
Moreira, Edson Jorge [1 ]
Neves, Aline de Almeida [1 ]
Belladonna, Felipe Goncalves [2 ]
Tameirao, Michele [1 ]
机构
[1] Grande Rio Univ, Dept Endodontol, Duque De Caxias, RJ, Brazil
[2] Univ Estado Rio De Janeiro, Dept Endodontol, Rio De Janeiro, Brazil
关键词
Anatomy; cone-beam computed tomography imaging; mandibular molars; morphology; root canal; SINGLE-FILE; FLARE-UPS; INSTRUMENTATION; ENDODONTICS; OPTIMIZES; EXTRUSION; ABILITY; CANALS;
D O I
10.1016/j.joen.2013.07.031
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Introduction: This study was designed to quantitatively evaluate the amount of apically extruded debris by the Self-Adjusting-File system (SAF; ReDent-Nova, Ra'anana, Israel). Hand and rotary instruments were used as references for comparison. Methods: Sixty mesial roots of mandibular molars were randomly assigned to 3 groups (n=20). The root canals were instrumented with hand files using a crown-down technique. The ProTaper (Dentsply Maillefer, Ballaigues, Switzerland) and SAF systems were used according to the manufacturers' instructions. Sodium hypochlorite was used as an irrigant, and the apically extruded debris was Collected in preweighted glass vials and dried afterward. The mean weight of debris was assessed with a microbalance and statistically analyzed using 1-way analysis of variance and the post hoc Tukey multiple comparison test. Results: Hand file instrumentation produced significantly more debris compared with the ProTaper and SAF systems (P<.05). The ProTaper system produced significantly more debris compared with the SAF system (P<.05). Conclusions: Under the conditions of this study, all systems caused apical debris extrusion. SAF instrumentation was associated with less debris extrusion compared with the use of hand and rotary files.
引用
收藏
页码:526 / 529
页数:4
相关论文
共 50 条
  • [31] Apically extruded debris of different file systems used with various kinematic movements during retreatment: An in vitro study
    Kosar, Tugba
    Celik, Davut
    Tasdemir, Tamer
    AUSTRALIAN ENDODONTIC JOURNAL, 2023, 49 : 33 - 40
  • [32] Apically Extruded Debris in Curved Root Canals Using the WaveOne Gold Reciprocating and Twisted File Adaptive Systems
    Boijink, Daiana
    Delai, Debora
    Hoppe, Carolina Bender
    Polli Kopper, Patricia Maria
    Grecca, Fabiana Saores
    JOURNAL OF ENDODONTICS, 2018, 44 (08) : 1289 - 1292
  • [33] A SELF-ADJUSTING SYSTEM FOR OPTIMUM DYNAMIC PERFORMANCE
    ANDERSON, GW
    ASELTINE, JA
    MANCINI, AR
    SARTURE, CW
    PROCEEDINGS OF THE INSTITUTE OF RADIO ENGINEERS, 1958, 46 (03): : 629 - 629
  • [34] Guiding a self-adjusting system through chaos
    Hubler, Alfred W.
    Phelps, Kirstin C.
    COMPLEXITY, 2007, 13 (02) : 62 - 66
  • [35] Improvement of CPAP Therapy by a Self-Adjusting System
    Katrin Pilz
    Stefan Thalhofer
    Philipp Meissner
    Peter Dorow
    Sleep and Breathing, 2000, 4 (4) : 169 - 172
  • [36] STRUCTURE AND ANALYSIS OF A SELF-ADJUSTING SYSTEM WITH A MODEL
    ZEMLYAKO.SD
    ENGINEERING CYBERNETICS, 1965, (03): : 148 - &
  • [37] Comparison of four different file systems in terms of transportation in S-shaped canals and apically extruded debris
    Alrahhal, Mustafa
    Tunc, Fatma
    JOURNAL OF ORAL SCIENCE, 2024, 66 (04) : 226 - 230
  • [38] Apically extruded debris and irrigants during root canal instrumentation with TruNatomy and ProTaper Gold rotary file systems
    Falakaloglu, Seda
    Ozata, Merve Yeniceri
    Iriboz, Emre
    GIORNALE ITALIANO DI ENDODONZIA, 2021, 35 (02): : 38 - 43
  • [39] Micro computed tomography evaluation of the Self-adjusting file and ProTaper Universal system on curved mandibular molars
    Serefoglu, Burcu
    Piskin, Beyser
    DENTAL MATERIALS JOURNAL, 2017, 36 (05) : 606 - 613
  • [40] ON SEEING SPAGHETTI - SELF-ADJUSTING PIECEWISE TOROIDAL RECOGNITION OF FLEXIBLE EXTRUDED OBJECTS
    KENDER, JR
    KJELDSEN, R
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (02) : 136 - 157