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The validation study on a three-dimensional burn estimation smart-phone application: accurate, free and fast?
A K W Cheah1, T Kangkorn2, E H Tan3
11Department of Plastic, Reconstructive and Aesthetic Surgery, Singapore General Hospital, 1 Outram Road, Bukit Merah, Singapore.
Burns & Trauma
|March 3, 2018
Summary
A new smartphone app, 3D Burn Resuscitation, offers more accurate total body surface area burned (TBSAB) estimations than traditional methods. While slower, this tool improves burn assessment accuracy for better patient resuscitation.
Area of Science:
- Medical technology
- Burn management
- Surgical innovation
Background:
- Accurate total body surface area burned (TBSAB) estimation is vital for early burn management and fluid resuscitation.
- Conventional estimation methods often result in significant discrepancies.
- A novel 3D smartphone application, 3D Burn Resuscitation (3D Burn), was developed to address these limitations.
Purpose of the Study:
- To compare the accuracy of the 3D Burn application against conventional TBSAB estimation methods.
- To evaluate the efficacy of a new digital tool in burn management.
Main Methods:
- Simulated burn injuries were created on three volunteers (25%, 30%, 35% TBSA).
- Healthcare workers estimated burn percentages using the 3D Burn app and conventional methods (Rule of Palm, Rule of Nines, Lund and Browder chart).
Main Results:
- Conventional methods over-estimated burn area: Rule of Palm (10.6%), Rule of Nines (19.7%), Lund and Browder (8.3%).
- The 3D Burn app under-estimated by 1.9%, showing statistically significant accuracy improvements (p < 0.05).
- The 3D Burn application required a longer estimation time compared to traditional methods.
Conclusions:
- The 3D Burn application provides more accurate TBSAB measurements than conventional methods, despite a longer application time.
- This validation study supports the utility of the 3D Burn app in enhancing TBSAB measurement accuracy.
- Further multi-center and prospective studies on actual burn patients are recommended.
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