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Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

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Published on: April 29, 2014

Anthropometric evaluation through images: Findings from the SCANNER software package.

Fanny Petermann-Rocha¹, Amanda Pizarro², Sebastián Castro²

¹Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile; School of Cardiovascular and Metabolic Health. University of Glasgow, Glasgow, UK.

Nutrition (Burbank, Los Angeles County, Calif.)

|May 31, 2024

Summary

The Smart Computerized Anthropometric NavigatioN and Evaluation Resource (SCANNER) software accurately estimates waist-to-height ratio (WHtR) using synthetic data. This tool shows high agreement, making it useful for remote health assessments.

Keywords:

Anthropometry Software Waist-height ratio

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Area of Science:

Anthropometry
Digital Health
Biomedical Engineering

Background:

Waist-to-height ratio (WHtR) is a key indicator of central obesity and cardiovascular risk.
Accurate WHtR measurement is crucial for health monitoring but can be challenging in remote settings.
Digital anthropometry offers a potential solution for remote and efficient health assessments.

Purpose of the Study:

To evaluate the agreement between waist-to-height ratio (WHtR) measurements derived from synthetic 3D digital human data and those obtained using the Smart Computerized Anthropometric NavigatioN and Evaluation Resource (SCANNER) software.
To validate the SCANNER software package as a tool for estimating WHtR.

Main Methods:

Generation of 110 synthetic 3D digital humans (55 male, 55 female) to derive anthropometric data.
Calculation of WHtR from synthetic waist circumference and height measurements.
Comparison of synthetic WHtR values with those estimated by the SCANNER software using Spearman's correlation and Bland-Altman analysis.

Main Results:

High agreement was observed between synthetic WHtR data and SCANNER software estimations (Spearman's correlation = 0.982, Rho = 0.983).
The Bland-Altman plot indicated substantial agreement, with a 95% confidence interval of 0.977-0.988.
Overall error in WHtR estimation was 0.49%, with higher error in males (0.81%) compared to females (0.18%).

Conclusions:

The SCANNER software package demonstrates high accuracy and agreement for estimating WHtR from synthetic data.
SCANNER is a user-friendly tool with potential to facilitate remote WHtR estimation for participants or patients.
This validates the use of digital anthropometry and the SCANNER software for accessible health monitoring.