医学
接收机工作特性
置信区间
危险系数
比例危险模型
热成像
队列
前瞻性队列研究
压力伤
内科学
外科
急诊医学
红外线的
光学
物理
作者
Xiaoqiong Jiang,Yu Wang,Yuxin Wang,Min Zhou,Pan Huang,Yufan Yang,Fang Peng,Hai-Shuang Wang,Xiaomei Li,Liping Zhang,Fuman Cai
摘要
The IRT-based model is a useful and reliable method for clinical dermatologists and nurses to detect pressure injuries. It can objectively and accurately detect pressure injuries 1 day before visual detection and is therefore able to guide prevention earlier than would otherwise be possible. What is already known about this topic? Detection of pressure injuries at an early stage is challenging. Infrared thermography can be used for the physiological and anatomical evaluation of subcutaneous tissue abnormalities. A convolutional neural network is increasingly used in medical imaging analysis. What does this study add? The optimal cut-off values of the IRT-based model were 0·53 for identifying tissue damage 1 day before visual detection of pressure injury and 0·88 for pressure injury detection on the day visual detection is possible. Infrared thermography-based models can be used by clinical dermatologists and nurses to detect pressure injuries at an early stage objectively and accurately.
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