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Interobserver and Intraobserver Reliability of Cephalometric Measurements Performed on Smartphone-Based Application

Vinay Kumar Chugh1, Navleen Kaur Bhatia1, Dipti Shastri2

  • 1All India Institute of Medical Sciences Jodhpur, Department of Dentistry, Rajasthan, India.

Turkish Journal of Orthodontics
|June 22, 2023
PubMed
Summary
This summary is machine-generated.

Smartphone cephalometric analysis using the OneCeph application demonstrates reliable and comparable results to traditional computer software. While accuracy is maintained, the app requires more time for analysis, suggesting potential for clinical integration.

Keywords:
CephalometricsDolphinOneCephReliabiity

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Area of Science:

  • Orthodontics
  • Radiology
  • Medical Imaging Analysis

Background:

  • Cephalometric analysis is crucial in orthodontics for diagnosis and treatment planning.
  • Conventional methods rely on computer-based software for image analysis.
  • Emerging mobile technologies offer potential alternatives for medical imaging analysis.

Purpose of the Study:

  • To compare the reliability of cephalometric analysis using a smartphone application (OneCeph®) versus conventional computer-based imaging software (Dolphin Imaging®).
  • To assess interobserver and intraobserver reliability for both methods.
  • To evaluate the time efficiency of the smartphone application compared to the computer software.

Main Methods:

  • Fifty subjects' pre-treatment cephalometric radiographs were analyzed.
  • Landmark identification and cephalometric measurements were performed using OneCeph® and Dolphin Imaging® by two independent observers.
  • Interobserver and intraobserver reliability were assessed using the intraclass correlation coefficient (ICC).
  • Paired t-tests compared measurement differences and analysis time between the two methods.

Main Results:

  • Both OneCeph® and Dolphin Imaging® demonstrated good to excellent interobserver and intraobserver reliability (ICC 0.75-1.00) for hard and soft tissue measurements.
  • No significant differences in measurement accuracy were found between the smartphone application and computer software (p<0.05).
  • The OneCeph® application required significantly more time for analysis compared to Dolphin Imaging® (p<0.001).

Conclusions:

  • Smartphone-based cephalometric analysis using OneCeph® offers comparable reliability to computer-based software.
  • The application is suitable for clinical use despite requiring more time for analysis.
  • This study validates mobile applications as a viable tool in cephalometric analysis.