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High-precision computer-assisted surface area estimation in large surface burn patients using ImageJ - A comparative

Florian Bucher1, Nadjib Dastagir1, Martynas Tamulevicius1

  • 1Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover, Germany.

Burns : Journal of the International Society for Burn Injuries
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Summary

ImageJ offers precise computer-assisted estimation of large surface burns, providing more accurate total body surface area (TBSA) measurements than traditional methods. This digital approach minimizes overestimation common in manual burn area calculations.

Keywords:
Burn extentBurn sizeComputer-assistedIntensive careTotal body surface area

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Area of Science:

  • Medical Imaging
  • Burn Management
  • Computer-Assisted Surgery

Background:

  • Traditional methods for estimating burn extent often lead to overestimations.
  • Accurate assessment of total body surface area (TBSA) is crucial for effective burn treatment.

Purpose of the Study:

  • To evaluate ImageJ software for high-precision, computer-assisted estimation of large surface burns.
  • To compare ImageJ's TBSA estimations with those from emergency physicians, plastic surgeons, and a smartphone application.

Main Methods:

  • Retrospective analysis of burn registry data from Hannover Medical School (2018-2024).
  • ImageJ software used for pixel-by-pixel TBSA estimation from photographic documentation.
  • Comparison of ImageJ results against estimations by referring emergency doctors, consultant plastic surgeons, and the E-burn smartphone application.

Main Results:

  • ImageJ yielded a mean TBSA of 36.81%, significantly lower than consultant plastic surgeons (41%) and emergency doctors (50.97%).
  • No significant correlation was found between ImageJ and the E-burn smartphone application (mean TBSA 37.84%).
  • ImageJ demonstrated statistically significant accuracy improvements over manual estimations by medical professionals.

Conclusions:

  • ImageJ provides highly accurate TBSA estimations for large surface burns through precise, computer-assisted, pixel-by-pixel analysis.
  • This method offers a more reliable alternative to existing techniques, reducing overestimation of burn area.