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在大表面烧伤患者中,高精度的计算机辅助表面积估计使用ImageJ - 一个比较分析.

Florian Bucher1, Nadjib Dastagir1, Martynas Tamulevicius1

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概括

图像J提供精确的计算机辅助大表面烧伤估计,提供比传统方法更准确的总体表面积 (TBSA) 测量. 这种数字方法最大限度地减少了手动燃烧面积计算中常见的高估值.

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烧伤程度 烧伤程度烧伤大小 烧伤大小计算机辅助的计算机辅助.重症监护室的重症监护室是重症监护室的重症监护室.总体表面积总体面积总体面积

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科学领域:

  • 医疗成像医学成像
  • 燃烧管理 燃烧管理
  • 计算机辅助手术 计算机辅助手术

背景情况:

  • 估计烧伤程度的传统方法往往会导致高估.
  • 准确评估总体表面积 (TBSA) 对于有效的烧伤治疗至关重要.

研究的目的:

  • 为了评估ImageJ软件的高精度,计算机辅助大面积烧伤的估计.
  • 为了将ImageJ的TBSA估计与紧急医生,整形外科医生和智能手机应用程序的TBSA估计进行比较.

主要方法:

  • 来自汉诺威医学院 (2018-2024) 的烧伤登记数据的回顾性分析.
  • ImageJ软件用于从摄影文档中进行像素对像素的TBSA估计.
  • 将ImageJ结果与指导急诊医生,顾问整形外科医生和智能手机应用程序E-burn的估计结果进行比较.

主要成果:

  • ImageJ的平均TBSA为36.81%,明显低于咨询整形外科医生 (41%) 和急诊医生 (50.97%).
  • 在ImageJ和E-burn智能手机应用程序之间没有发现显著的相关性 (平均TBSA为37.84%).
  • ImageJ在医疗专业人员的手动估计上显示了统计学上显著的准确性改进.

结论:

  • ImageJ通过精确的,计算机辅助的,像素对像素的分析,为大型表面烧伤提供高度准确的TBSA估计.
  • 这种方法为现有技术提供了更可靠的替代方案,减少了对燃烧面积的高估.