神经角膜-通过角膜神经形态的体内自动分析,糖尿病周围神经病变的早期诊断和随访

Ana Ferreira, João Lamas, L. Gomes, S. Silva, C. Loureiro, J. Domingues, J. S. Silva, M. Morgado
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引用次数: 0

摘要

糖尿病周围神经病变是糖尿病患者慢性残疾的主要原因。周围神经病变的早期诊断和准确评估对于确定高危患者、降低患者发病率和评估新疗法的效果具有重要意义。然而,由于缺乏一种简单的无创早期诊断方法,周围神经病变的诊断常常失败或仅在患者出现症状时才发生。角膜共聚焦显微镜是一种可以记录角膜神经形态的非侵入性成像方式。在这个项目中,我们将开发一种基于角膜神经图像自动分析的糖尿病神经病变早期诊断技术。该项目包括开发神经分割和形态参数提取的自动算法,评估糖尿病神经病变的早期诊断和随访的最佳参数,以及开发用于标准裂隙灯附加的角膜共聚焦成像模块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
neuroCornea — Diabetic peripheral neuropathy early diagnosis and follow-up through in vivo automatic analysis of corneal nerves morphology
Peripheral diabetic neuropathy is the major cause of chronic disability in diabetic patients. The early diagnosis and accurate assessment of peripheral neuropathy are important to define the higher risk patients, decrease patient morbidity and assess the performance of new therapies. However, the peripheral neuropathy diagnosis often fails or occurs only when patients became symptomatic due to the non-availability of a simple non invasive method for early diagnosis. Corneal confocal microscopy is a non-invasive imaging modality that can document corneal nerves morphology. In this project, we will develop a technique for early diagnosis of diabetic neuropathy based on automatic analysis of corneal nerves images. This project comprises the development of automatic algorithms for nerve segmentation and morphometric parameters extraction, the evaluation of the best parameters for early diagnosis and follow-up of diabetic neuropathy and the development of a corneal confocal imaging module to be used as an add-on to a standard slit-lamp.
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