摘要
目的基于Wagner分级构建糖尿病足溃疡智能分级评估系统,并验证其与伤口治疗师对同一足溃疡图片评估结果的同质性。方法根据人工标注后的1042张足溃疡图像,利用深度学习方法识别足溃疡图像各区域并进行分割,构建智能分级评估系统实现对足溃疡的自动分级。选取就诊的68例糖尿病足患者的150张足溃疡图片作为验证组,评价智能分级系统和国际伤口治疗师对150张足溃疡图片Wagner分级结果的一致性。结果糖尿病足智能分级评估系统与伤口治疗师对足溃疡分级的加权Kappa值为0.643(P<0.01)。结论基于Wagner分级的糖尿病足溃疡智能分级评估系统可实现临床同质化评价,辅助临床医护人员对足溃疡进行分级评估,根据分级结果实施针对性的治疗及护理措施,从而提高护理质量与效果。
Objective To develop an intelligent classification system for diabetic foot ulcer based on Wagner grades,and to test its consistency with the assessment result by wound therapist.Methods According to 1042 manually labeled foot ulcer images,deep learning method was used to identify and segment the areas of foot ulcer images,and an intelligent classification system was deve-loped to realize automatic grading of foot ulcer.Totally 150 foot ulcer images of 68 hospitalized diabetes patients were selected as the verification group,and the consistency of Wagner grading results of the images by the intelligent classification system and international wound therapist was evaluated.Results The weighted Kappa value of diabetic foot intelligent classification system and wound therapist was 0.643(P<0.01).Conclusion The intelligent classification system of diabetic foot ulcer based on Wagner grades can realize clinical homogeneous evaluation,assist clinical medical staff to assess and grade diabetic foot ulcer,then implement targeted treatment and nursing,so as to improve nursing quality and effect.
作者
叶莹
赵楠
戴薇薇
韩辉武
罗文静
李欣仪
许景灿
白姣姣
周秋红
Ye Ying;Zhao Nan;Dai Weiwei;Han Huiwu;Luo Wenjing;Li Xinyi;Xu Jingcan;Bai Jiaojiao;Zhou Qiuhong(Xiangya Nursing School of Central South University,Changsha 410013,China)
出处
《护理学杂志》
CSCD
北大核心
2022年第10期23-25,共3页
Journal of Nursing Science
基金
中南大学湘雅医院管理研究基金(智库专项)资助项目(2021GL11)。
