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预测糖尿病足愈合状态的非侵入性成像技术:十年的系统性审查

Nila N Sari^1,2, Quoc C Ngo¹, Nemuel D Pah^1,3

¹School of Engineering, RMIT University, Melbourne, VIC, Australia.

Frontiers in medical technology

|October 15, 2025

概括

早期检测与糖尿病相关的脚 (DFU) 是至关重要的. 非侵入性成像,特别是视觉和热成像,在与人工智能相结合时,显示出预测DFU愈合的前景,但对于临床使用需要标准化.

科学领域:

医学成像医学成像
伤口愈合研究研究研究.
生物医学工程生物医学工程

背景情况:

与糖尿病相关的足部 (DFU) 存在重大风险,包括截肢和死亡率.
早期和准确的DFU检测对于预防慢性疾病和严重后果至关重要.
目前用于DFU监测的非侵入性成像技术缺乏广泛的临床采用.

研究的目的:

审查非侵入性成像技术的进展,以预测DFU伤口愈合.
确定研究缺口和这些成像方法的临床翻译的未来方向.

主要方法:

一个系统的,多学科的回顾摄影,高光谱和热成像的DFU愈合预测.
搜索了五个数据库 (PubMed,Scopus,CINAHL,Embase,Web of Science) 搜索了2014年7月至2024年7月发表的英语同行评审文章.
遵循PRISMA指南并使用CASP质量评估工具,确定了22项相关研究.

主要成果:

摄影成像是用户友好的,但对照明敏感.
热成像可以反映炎症,但需要多模式整合.
超光谱成像提供了生化洞察力,但成本昂贵,便于携带.
结合视觉和热成像和机器学习,显示出早期,实时的DFU愈合预测的强大潜力.

结论:

与人工智能集成的视觉和热成像,为DFU监控提供便携和用户友好的解决方案.
临床准备需要解决标准化和整合复杂性的挑战.
用更大的数据集和强大的验证进行进一步的研究对于增强临床翻译至关重要.

关键词:

与糖尿病相关的足部 (DFU)治愈治疗治疗治疗治疗治疗治疗治疗治疗图像技术的成像技术.预测预测预测预测系统性审查系统性审查

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