Interpretation of Endodontic File Length Adjustments Using Radiovisiography

Abstract

The purpose of this in vitro investigation was to determine if accurate endodontic file length measurements can be made using RadioVisioGraphy (RVG) images. Comparisons were made between RVG images and conventional periapical radiographs. Maxillary and mandibular human cadaver sections with a first or second molar and patent canals were used for experimental specimens. Size 10 K-type files were inserted into the canals at randomly selected lengths. Lengths varied from 4 mm short of the radiographic apex to 3 mm beyond. Radiographs were made using E-speed film, and images were made using the Trophy RVG. Radiographs and images were evaluated by three endodontists to determine the adjustment needed to place the tip of the file 0.5 mm from the radiographic apex. The results showed there is no significant difference in the ability of endodontists to make accurate file length adjustments using conventional radiography versus RVG. Under the conditions of this study, the following conclusions were drawn: (1) it is possible to make accurate file length adjustments from an image two times larger than the actual tooth, (2) RVG is not significantly better than conventional radiography for determining endodontic file length adjustments, (3) if both methods are available, RVG is preferred because of the significant reduction in patient radiation burden.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA268589

Entities

People

  • Beverly J. Leddy

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Analysis Of Variance
  • Dentistry
  • Detection
  • Films
  • Instrumentation
  • Ionizing Radiation
  • Measurement
  • Measuring Instruments
  • Medical Personnel
  • Photographs
  • Radiography
  • Skull
  • Teeth
  • United States
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

  • Battery Technology and Engineering
  • Radar Systems Engineering.
  • Regression Analysis.