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Fit Accuracy of Removable Partial Denture Frameworks Fabricated with CAD/CAM, Rapid Prototyping, and Conventional Techniques: A Systematic Review

  • Naseer Ahmed
  • , Maria Shakoor Abbasi
  • , Sara Haider
  • , Nimra Ahmed
  • , Syed Rashid Habib
  • , Sara Altamash
  • , Muhammad Sohail Zafar
  • , Mohammad Khursheed Alam
  • Universiti Sains Malaysia
  • Altamash Institute of Dental Medicine
  • Dow University of Health Sciences
  • King Saud University
  • Taibah University
  • Riphah International University
  • Al Jouf University

Research output: Contribution to journalReview articlepeer-review

51 Scopus citations

Abstract

Objective. Analyzing and comparing the fit and accuracy of removable partial denture (RPDs) frameworks fabricated with CAD/CAM and rapid prototyping methods with conventional techniques. Materials and Methods. The present systematic review was carried out according to PRISMA guidelines. The search was carried out on PubMed/MEDLINE, Cochrane collaboration, Science direct, and Scopus scientific engines using selected MeSH keywords. The articles fulfilling the predefined selection criteria based on the fit and accuracy of removable partial denture (RPD) frameworks constructed from digital workflow (CAD/CAM; rapid prototyping) and conventional techniques were included. Results. Nine full-text articles comprising 6 in vitro and 3 in vivo studies were included in this review. The digital RPDs were fabricated in all articles by CAD/CAM selective laser sintering and selective laser melting techniques. The articles that have used CAD/CAM and rapid prototyping technique demonstrated better fit and accuracy as compared to the RPDs fabricated through conventional techniques. The least gaps between the framework and cast (41.677±15.546 μm) were found in RPDs constructed through digital CAD/CAM systems. Conclusion. A better accuracy was achieved using CAD/CAM and rapid prototyping techniques. The RPD frameworks fabricated by CAD/CAM and rapid prototyping techniques had clinically acceptable fit, superior precision, and better accuracy than conventionally fabricated RPD frameworks.

Original languageEnglish
Article number3194433
JournalBioMed Research International
Volume2021
DOIs
StatePublished - 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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