The present systematic review and meta-analysis aims to determine the effect of computer-aided navigation techniques on the accuracy of endodontic access cavities. MATERIALS AND METHODS: A systematic literature review and meta-analysis of clinical studies, based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations, was performed that evaluated the root canal location rate of computer-aided navigation techniques applied to endodontic access cavities. Four different databases were used to consult the literature: PubMed-Medline, Scopus, Cochrane, and Web of Science. After discarding duplicate articles and applying inclusion criteria, 14 articles were selected for qualitative analysis and 13 for quantitative analysis. RESULTS: the root canal location success rate started at 98.1% (CI: 95.7-100%) of the cases performed through a computer-aided navigation technique. The prediction interval ranged from 93.3% to 100%. The meta-analysis did not detect heterogeneity between the combined studies (Q-test = 17.3; p = 0.185; I2 = 25%). No statistically significant differences were found between computer-aided static navigation techniques (success rate: 98.5%) and computer-aided dynamic navigation techniques (success rate: 94.5%) (Q test = 0.57; p = 0.451), nor between in vitro studies (success rate: 96.2%) and in vivo studies (success rate: 100%) (Q test = 2.53; p-value = 0.112). An odds success ratio of 13.1 (CI: 95%; 3.48, 49.1) encourages the use of computer-aided navigation techniques over conventional endodontic access cavity procedures. CONCLUSIONS: the endodontic access cavities created using static and dynamic computer-aided navigation techniques are highly accurate in locating the root canal system.
The present systematic review and meta-analysis aims to determine the effect of computer-aided navigation techniques on the accuracy of endodontic access cavities. MATERIALS AND METHODS: A systematic literature review and meta-analysis of clinical studies, based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations, was performed that evaluated the root canal location rate of computer-aided navigation techniques applied to endodontic access cavities. Four different databases were used to consult the literature: PubMed-Medline, Scopus, Cochrane, and Web of Science. After discarding duplicate articles and applying inclusion criteria, 14 articles were selected for qualitative analysis and 13 for quantitative analysis. RESULTS: the root canal location success rate started at 98.1% (CI: 95.7-100%) of the cases performed through a computer-aided navigation technique. The prediction interval ranged from 93.3% to 100%. The meta-analysis did not detect heterogeneity between the combined studies (Q-test = 17.3; p = 0.185; I2 = 25%). No statistically significant differences were found between computer-aided static navigation techniques (success rate: 98.5%) and computer-aided dynamic navigation techniques (success rate: 94.5%) (Q test = 0.57; p = 0.451), nor between in vitro studies (success rate: 96.2%) and in vivo studies (success rate: 100%) (Q test = 2.53; p-value = 0.112). An odds success ratio of 13.1 (CI: 95%; 3.48, 49.1) encourages the use of computer-aided navigation techniques over conventional endodontic access cavity procedures. CONCLUSIONS: the endodontic access cavities created using static and dynamic computer-aided navigation techniques are highly accurate in locating the root canal system.
Authors: Lucas Moreira Maia; Vinicius de Carvalho Machado; Nelson Renato França Alves da Silva; Manoel Brito Júnior; Rodrigo Richard da Silveira; Gil Moreira Júnior; Antônio Paulino Ribeiro Sobrinho Journal: J Endod Date: 2019-02 Impact factor: 4.171
Authors: Alexandra Vinagre; Catarina Castanheira; Ana Messias; Paulo J Palma; João C Ramos Journal: Medicina (Kaunas) Date: 2021-11-12 Impact factor: 2.430
Authors: Vicente Faus-Matoses; Vicente Faus-Llácer; Tanaz Moradian; Elena Riad Deglow; Celia Ruiz-Sánchez; Nirmine Hamoud-Kharrat; Álvaro Zubizarreta-Macho; Ignacio Faus-Matoses Journal: Int J Environ Res Public Health Date: 2022-09-06 Impact factor: 4.614