Purohit Aastha, Paul Rahul, Golchha Vineet*, Yadav Deepti, Gupta Mudita and Sharma K Ish
Department of Orthodontics and Orthopaedics, Inderprastha Dental College and Hospital, Ghaziabad, India
*Corresponding Author: Golchha Vineet, Department of Orthodontics and Orthopaedics, Inderprastha Dental College and Hospital, Ghaziabad, India.
Received: June 20, 2022; Published: June 30, 2022
Context: Model analysis is an important diagnostic tool and aids in framing dental treatment, but consumes a significant time. Mamillapalli., et al. the creators of application iModelAnalysis2 which performs mathematical calculations easily and accurately as part of model study analysis, claims to be faster, accurate and user friendly than conventional method.
Aims: This in-vitro study evaluates the efficacy and efficiency of the results achieved by iModelAnalysis2 application and compares it with the conventional method.
Methods and Material: Bolton analysis, Ashley Howes Analysis, Pont analysis, Linder Harth Analysis, Carey’s Analysis, Arch Perimeter Analysis model were performed on 30 casts. The duration of the count model analysis using conventional methods and app was recorded with a stopwatch. The results obtained were statistically compared for accuracy.
Results: The test results were non significant with p value of >0.05. This indicates that the overall results of analysis through both conventional and application means are equally accurate. The result of the comparison in the time taken to do the analysis through conventional means and application was highly significant with p value of 0.000.
Conclusions: This application has a great potential to aid clinician in quick calculations and thereby quicker diagnosis and treatment planning saving their crucial time with accurate result.
Keywords: Model Analysis; iModelAnalysis2; Bolton analysis; Ashley Howes Analysis; Pont; Carey’s Analysis
Citation: Golchha Vineet., et al. “Accuracy and Efficiency of Model Analysis Using an App Based Model Analysis Software ". Acta Scientific Dental Sciences 6.7 (2022): 140-146.
Copyright: © 2022 Golchha Vineet., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.