The Importance of a Three-dimensional-Based Approach With Personalized Models for Accurately Assessing TBSA
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 cal...
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Published in | Journal of burn care & research Vol. 39; no. 2; p. 235 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
20.02.2018
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Online Access | Get more information |
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Summary: | 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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ISSN: | 1559-0488 |
DOI: | 10.1097/BCR.0000000000000580 |