University of California, Los Angeles, Henry Samueli School of Engineering and Applied Science Biomedical Inter-Department Program, Los Angeles, California 90095-1597, USA.
J Biomed Opt. 2011 Feb;16(2):026009. doi: 10.1117/1.3535592.
Foot ulceration remains a serious health concern for diabetic patients and has a major impact on the cost of diabetes treatment. Early detection and preventive care, such as offloading or improved hygiene, can greatly reduce the risk of further complications. We aim to assess the use of hyperspectral tissue oximetry in predicting the risk of diabetic foot ulcer formation. Tissue oximetry measurements are performed during several visits with hyperspectral imaging of the feet in type 1 and 2 diabetes mellitus subjects that are at risk for foot ulceration. The data are retrospectively analyzed at 21 sites that ulcerated during the course of our study and an ulceration prediction index is developed. Then, an image processing algorithm based on this index is implemented. This algorithm is able to predict tissue at risk of ulceration with a sensitivity and specificity of 95 and 80%, respectively, for images taken, on average, 58 days before tissue damage is apparent to the naked eye. Receiver operating characteristic analysis is also performed to give a range of sensitivity/specificity values resulting in a Q-value of 89%.
足部溃疡仍然是糖尿病患者严重的健康问题，对糖尿病治疗成本有重大影响。早期发现和预防护理，如减压或改善卫生，可以大大降低进一步并发症的风险。我们旨在评估高光谱组织血氧饱和度测定在预测糖尿病足溃疡形成风险中的应用。在患有 1 型和 2 型糖尿病且有足部溃疡风险的患者中，通过多次高光谱足部成像检查来进行组织血氧饱和度测量。对本研究过程中发生溃疡的 21 个部位进行回顾性数据分析，并开发出溃疡预测指数。然后，基于该指数的图像处理算法得以实现。该算法能够预测有溃疡风险的组织，对于拍摄的图像，其敏感性和特异性分别为 95%和 80%，而在肉眼可见组织损伤之前，平均提前 58 天拍摄图像。还进行了接收者操作特性分析，给出了一系列敏感性/特异性值，得出 Q 值为 89%。
