Comments on “A system for 3D representation of burns and calculation of burnt skin area”

Dirnberger, Johannes; Giretzlehner, Michael; Owen, Robert; Herbert, Haller; Peter, Kamolz Lars

doi:10.1016/j.burns.2012.03.016

Cited by 1 publication

(1 citation statement)

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“…Thus far, BurnCase 3D 3, 14-16 and BAI 21 have been the only tools to offer a suitable solution for assessing TBSA. However, the fact that predefined models are only adapted to the patient's weight and height means there is an unknown offset between the patient's real BSA and the BSA of the 3D model, which has not been evaluated 22 . The model selected is still an approximation of the patient's actual body constitution which sometime diverges from it's real BSA 14 .…”

Section: Introductionmentioning

confidence: 99%

The Importance of a 3D-Based Approach With Personalized Models for Accurately Assessing TBSA

Desbois

Matei

Perreault

et al. 2017

Journal of Burn Care & Research

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In this article, the relevance of a new three-dimensional computer-Based computer-based framework with personalized 3D models for accurately assessing the TBSA is demonstrated through preliminary results and validation studies. First, a 3D rendering interface was developed for representation and calculation of TBSA. The personalized 3D models were built from anthropometric measurements using MakeHuman software. Fifteen paired models were randomly built with an equal BSA but a different morphology. The difference of local BSA, TBSA burned, and Parkland fluids between each paired models were observed to highlight the impact of morphology's variation on the TBSA. Finally, a preliminary validation study was made on 4 mannequins by 14 volunteers to assess the accuracy of the 3D models built with MakeHuman software and TBSA burned assessment with the proposed method. Small variations in the morphology impacted the TBSA assessment. Mannequin's 3D models built with MakeHuman software presented an absolute error of 3 ± 2.2 % with no significant difference with their scans. The proposed approach allows for a better assessment of TBSA with a lower variability. No significant difference in the scores for expert and nonexpert conditions was observed. Personalized 3D model to the patient's morphology is suggested to overcome the difficulty of patients with specific morphologies such as obese and children. The proposed framework appears to be relevant for personalizing and accurately assessing TBSA and could reduce morbidity and mortality.

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Section: Introductionmentioning

confidence: 99%