TY - JOUR
T1 - An improvement of body surface area formulas using the 3D scanning technique
AU - Redlarski, Grzegorz
AU - KozieŁ, SŁawomir
AU - Krawczuk, Marek
AU - Siebert, Janusz
AU - TaŁaŁaj, Marek
AU - PaŁkowski, Aleksander
AU - Tojza, Piotr
AU - Cieślikowska, Zuzanna
AU - Litzbarski, Leszek S.
N1 - Publisher Copyright:
© 2024 Nofer Institute of Occupational Medicine. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - 3D body scanning
KW - body surface area formulae
KW - BSA calculations
KW - cancer therapy
KW - diagnosis
KW - drugs dosage
UR - http://www.scopus.com/inward/record.url?scp=85193912874&partnerID=8YFLogxK
U2 - 10.13075/ijomeh.1896.02356
DO - 10.13075/ijomeh.1896.02356
M3 - Article
C2 - 38634421
AN - SCOPUS:85193912874
SN - 1232-1087
VL - 37
SP - 205
EP - 219
JO - International Journal of Occupational Medicine and Environmental Health
JF - International Journal of Occupational Medicine and Environmental Health
IS - 2
ER -