Qazi Yureeda, Aggarwal Shruti, Hamrah Pedram
Cornea and Ocular Surface Imaging Center, Department of Ophthalmology- Cornea Service, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA.
Graefes Arch Clin Exp Ophthalmol. 2014 Jun;252(6):857-872. doi: 10.1007/s00417-014-2618-2. Epub 2014 Apr 4.
Dry eye disease (DED) is one of the most common ocular disorders worldwide. The pathophysiological mechanisms involved in the development of DED are not well-understood, and thus treating DED has been a significant challenge for ophthalmologists. Most of the currently available diagnostic tests demonstrate low correlation to patient symptoms and have low reproducibility.
Recently, sophisticated in vivo imaging modalities have become available for patient care, namely, in vivo confocal microscopy (IVCM) and optical coherence tomography (OCT). These emerging modalities are powerful and non-invasive, allowing real-time visualization of cellular and anatomical structures of the cornea and ocular surface. Here we discuss how, by providing both qualitative and quantitative assessment, these techniques can be used to demonstrate early subclinical disease, grade layer-by-layer severity, and allow monitoring of disease severity by cellular alterations. Imaging-guided stratification of patients may also be possible in conjunction with clinical examination methods.
Visualization of subclinical changes and stratification of patients in vivo allows objective image-guided evaluation of tailored treatment response based on cellular morphological alterations specific to each patient. This image-guided approach to DED may ultimately improve patient outcomes and make it possible to study the efficacy of novel therapies in clinical trials.
干眼症(DED)是全球最常见的眼部疾病之一。干眼症发生发展过程中涉及的病理生理机制尚未完全明确,因此,对眼科医生而言,治疗干眼症一直是一项重大挑战。目前大多数可用的诊断测试与患者症状的相关性较低,且重现性也较差。
近来,先进的体内成像技术已应用于患者护理,即体内共聚焦显微镜检查(IVCM)和光学相干断层扫描(OCT)。这些新兴技术功能强大且无创,能够实时观察角膜和眼表的细胞及解剖结构。在此,我们将讨论通过提供定性和定量评估,这些技术如何用于显示早期亚临床疾病、逐层分级严重程度,并通过细胞改变监测疾病严重程度。结合临床检查方法,对患者进行成像引导分层也可能实现。
体内亚临床变化的可视化以及患者分层能够基于每位患者特有的细胞形态改变,对量身定制的治疗反应进行客观的图像引导评估。这种针对干眼症的图像引导方法最终可能改善患者预后,并使在临床试验中研究新型疗法的疗效成为可能。