An improvement of body surface area formulas using the 3D scanning technique

• Authors: Grzegorz Redlarski , Sławomir Kozieł , Marek Krawczuk , Janusz Siebert , Marek Tałałaj , Aleksander Pałkowski , Piotr Tojza , Zuzanna Cieślikowska , Leszek S. Litzbarski

Abstracts

EN

Objectives Body surface area (BSA) is one of the major parameters used in several medical fields. However, there are concerns raised about its usefulness, mostly due to the ambiguity of its estimation. Material and Methods Authors have conducted a voluntary study to investigate BSA distribution and estimation in a group of 179 adult people of various sex, age, and physique. Here, there is provided an extended analysis of the majority of known BSA formulas. Furthermore, it was supplement with a comparison with the authors' propositions of enhanced formulas coefficients for known formulas models as well as with new power models based on an increased number of anthropometric data. Results Introduction of the enhanced formulas coefficients cause a reduction of at least 30.5% in mean absolute error and 21.1% in maximum error in comparison with their known counterparts. Conclusions In the context of the analysis presented it can be stated that the development of a single universal body surface area formula, based on a small number of state variables, is not possible. Therefore, it is necessary and justified to search for new estimation models that allow for quick and accurate calculation of body surface area for the entire population, regardless of individual body variations. The new formulas presented are such an alternative, which achieves better results than the previously known methods.

Keywords

EN

cancer therapy; diagnosis; 3D body scanning; body surface area formulae; BSA calculations; drugs dosage

• Publisher: Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
• Journal: International Journal of Occupational Medicine and Environmental Health
• Year: 2024
• Volume: 37
• Issue: 2
• Pages: 205-219

Dates

published

2024

Contributors

author

Grzegorz Redlarski

• Gdansk University of Technology, Gdańsk, Poland

author

Sławomir Kozieł

• Reykjavik University, Reykjavik, Iceland (Engineering Optimization and Modeling Center)

author

Marek Krawczuk

• Gdansk University of Technology, Gdańsk, Poland

author

Janusz Siebert

• Medical University of Gdansk, Gdańsk, Poland (University Center for Cardiology)

author

Marek Tałałaj

• Centre of Postgraduate Medical Education, Warsaw, Poland (Department of Geriatrics, Internal Medicine, and Metabolic Bone Diseases)

author

Aleksander Pałkowski

• Gdansk University of Technology, Gdańsk, Poland

author

Piotr Tojza

• Gdansk University of Technology, Gdańsk, Poland

author

Zuzanna Cieślikowska

• Gdansk University of Technology, Gdańsk, Poland

author

Leszek S. Litzbarski

• Gdansk University of Technology, Gdańsk, Poland

Identifiers

DOI

10.13075/ijomeh.1896.02356

Biblioteka Nauki

31341050