Yao Xiuya, Chaganti Shikha, Nabar Kunal P, Nelson Katrina, Plassard Andrew, Harrigan Rob L, Mawn Louise A, Landman Bennett A
Department of Biomedical Informatics, Vanderbilt University, 2525 West End Ave #1475, Nashville, TN 37203.
Computer Science, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN USA 37235.
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254613. Epub 2017 Feb 24.
Eye diseases and visual impairment affect millions of Americans and induce billions of dollars in annual economic burdens. Expounding upon existing knowledge of eye diseases could lead to improved treatment and disease prevention. This research investigated the relationship between structural metrics of the eye orbit and visual function measurements in a cohort of 470 patients from a retrospective study of ophthalmology records for patients (with thyroid eye disease, orbital inflammation, optic nerve edema, glaucoma, intrinsic optic nerve disease), clinical imaging, and visual function assessments. Orbital magnetic resonance imaging (MRI) and computed tomography (CT) images were retrieved and labeled in 3D using multi-atlas label fusion. Based on the 3D structures, both traditional radiology measures (e.g., Barrett index, volumetric crowding index, optic nerve length) and novel volumetric metrics were computed. Using stepwise regression, the associations between structural metrics and visual field scores (visual acuity, functional acuity, visual field, functional field, and functional vision) were assessed. Across all models, the explained variance was reasonable (R2 ~ 0.1-0.2) but highly significant (p < 0.001). Instead of analyzing a specific pathology, this study aimed to analyze data across a variety of pathologies. This approach yielded a general model for the connection between orbital structural imaging biomarkers and visual function.
眼部疾病和视力损害影响着数百万美国人,并每年造成数十亿美元的经济负担。阐述眼部疾病的现有知识可能会带来更好的治疗方法和疾病预防措施。这项研究通过对470名患者的眼科记录进行回顾性研究,调查了眼眶结构指标与视觉功能测量之间的关系,这些患者患有甲状腺眼病、眼眶炎症、视神经水肿、青光眼、原发性视神经疾病,同时还进行了临床成像和视觉功能评估。检索眼眶磁共振成像(MRI)和计算机断层扫描(CT)图像,并使用多图谱标签融合技术在三维空间中标注。基于三维结构,计算了传统放射学测量指标(如巴雷特指数、体积拥挤指数、视神经长度)和新的体积测量指标。使用逐步回归分析,评估了结构指标与视野评分(视力、功能视力、视野、功能视野和功能性视觉)之间的关联。在所有模型中,解释方差合理(R2约为0.1 - 0.2)但具有高度显著性(p < 0.001)。本研究并非分析特定的病理学情况,而是旨在分析多种病理学的数据。这种方法得出了一个关于眼眶结构成像生物标志物与视觉功能之间联系的通用模型。