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大型表面烧伤的自动计算机辅助表面积估计:斐济正在接管烧伤护理吗?

Florian Bucher¹, Nadjib Dastagir¹, Martynas Tamulevicius¹

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

|June 11, 2025

概括

斐济软件使用手动和自动化方法准确估计了大型表面烧伤,与专家准确度相匹配. 这种计算机辅助的图像分析通过提供可靠的总体表面积 (TBSA) 测量来改善烧伤护理.

科学领域:

医疗成像医学成像
燃烧管理燃烧管理
计算分析计算分析

背景情况:

目前用于估计大型表面烧伤的方法往往会导致高估,并且有局限性.
准确评估烧伤程度对于有效的患者管理和治疗计划至关重要.

研究的目的:

评估斐济软件对手动和自动计算机辅助大面积烧伤估计的准确性.
为了比较斐济软件的估计与用于燃烧评估的其他常用方法.

主要方法:

对37名患有大面积烧伤的患者进行了回顾性分析.
斐济软件用于手动和自动测量从入院照片中总体表面积 (TBSA) 的估计.
结果与来自智能手机应用程序的估计值进行了比较,其中包括紧急医生和咨询整形外科医生.

主要成果:

在顾问整形外科医生和自动化的斐济估计 (0.968) 之间观察到优异的内部审查者协议.
手动斐济估计也显示了与顾问整形外科医生 (0.958) 的良好协议.
自动和手动的斐济估计显示出高一致性 (0.991),平均偏差为0.729%.

结论:

手动和自动化的斐济软件通过pixel-by-pixel分析提供高度准确的TBSA估计.
自动化方法在燃烧程度评估中达到与手动方法相美的精度.
计算机辅助图像分析,特别是使用斐济软件,显示了提高烧伤护理实践的巨大潜力.

关键词:

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.

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