Mohafez H, Ahmad S A, Hadizadeh M, Moghimi S, Roohi S A, Marhaban M H, Saripan M I, Rampal S
Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia.
Malaysian Research Institute of Ageing (MyAgeing), Universiti Putra Malaysia, Selangor, Malaysia.
Skin Res Technol. 2018 Feb;24(1):45-53. doi: 10.1111/srt.12388. Epub 2017 May 29.
We aimed to develop a method for quantitative assessment of wound healing in ulcerated diabetic feet.
High-frequency ultrasound (HFU) images of 30 wounds were acquired in a controlled environment on post-debridement days 7, 14, 21, and 28. Meaningful features portraying changes in structure and intensity of echoes during healing were extracted from the images, their relevance and discriminatory power being verified by analysis of variance. Relative analysis of tissue healing was conducted by developing a features-based healing function, optimised using the pattern-search method. Its performance was investigated through leave-one-out cross-validation technique and reconfirmed using principal component analysis.
The constructed healing function could depict tissue changes during healing with 87.8% accuracy. The first principal component derived from the extracted features demonstrated similar pattern to the constructed healing function, accounting for 86.3% of the data variance.
The developed wound analysis technique could be a viable tool in quantitative assessment of diabetic foot ulcers during healing.
我们旨在开发一种用于定量评估糖尿病足溃疡伤口愈合情况的方法。
在清创后第7、14、21和28天，于可控环境下获取30处伤口的高频超声（HFU）图像。从图像中提取描绘愈合过程中回声结构和强度变化的有意义特征，通过方差分析验证其相关性和鉴别力。通过开发基于特征的愈合函数进行组织愈合的相对分析，并使用模式搜索方法进行优化。通过留一法交叉验证技术研究其性能，并使用主成分分析进行再次确认。
构建的愈合函数能够以87.8%的准确率描绘愈合过程中的组织变化。从提取的特征中得出的第一主成分显示出与构建的愈合函数相似的模式，占数据方差的86.3%。
所开发的伤口分析技术可能是定量评估糖尿病足溃疡愈合过程的一种可行工具。
