Department of Psychology, Columbia University.
Bernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, New York, NY.
J Glaucoma. 2021 Apr 1;30(4):e134-e145. doi: 10.1097/IJG.0000000000001766.
Identifying progression is of fundamental importance to the management of glaucoma. It is also a challenge. The most sophisticated, and probably the most useful, commercially available clinical tool for identifying progression is the Guided Progression Analysis (GPA), which was initially developed to identify progression using 24-2 visual field tests. More recently, it has been extended to retinal nerve fiber layer (RNFL) and ganglion cell+inner plexiform layer thicknesses measured with optical coherence tomography (OCT). However, the OCT GPA requires a minimum of 3 tests to determine "possible loss (progression)" and a minimum of 4 tests to determine if the patient shows "likely loss (progression)." Thus, it is not designed to answer a fundamental question asked by both the clinician and the patient, namely: Did damage progress since the last visit? Some clinicians use changes in summary statistics, such as global/average circumpapillary RNFL thickness. However, these statistics have poor sensitivity and specificity due to segmentation and alignment errors. Instead of relying on the GPA analysis or summary statistics, one needs to evaluate RNFL and ganglion cell+inner plexiform layer probability maps and circumpapillary OCT B-scan images. In addition, we argue that the clinician can make a better decision about suspected progression between 2 test days by topographically comparing the changes in the different OCT maps and images, in addition to topographically comparing the changes in the visual field with the changes in OCT probability maps.
确定疾病进展对于青光眼的治疗至关重要,同时也是一个挑战。目前,最先进且可能最有用的商业上可用于识别疾病进展的临床工具是 Guided Progression Analysis(GPA),它最初是为了使用 24-2 视野测试来识别进展而开发的。最近,它已经扩展到视网膜神经纤维层(RNFL)和通过光学相干断层扫描(OCT)测量的节细胞+内丛状层厚度。然而,OCT GPA 需要至少 3 次测试来确定“可能的损失(进展)”,并且需要至少 4 次测试来确定患者是否显示“可能的损失(进展)”。因此,它不是为了回答临床医生和患者都会提出的一个基本问题而设计的,即:自上次就诊以来是否有损害进展?一些临床医生使用汇总统计数据(如全局/平均周边 RNFL 厚度)的变化。然而,由于分段和对齐错误,这些统计数据的敏感性和特异性较差。与其依赖 GPA 分析或汇总统计数据,不如评估 RNFL 和节细胞+内丛状层概率图以及周边 OCT B 扫描图像。此外,我们认为,临床医生可以通过在不同的 OCT 地图和图像上进行地形比较,以及通过在 OCT 概率地图上进行地形比较来评估两次测试日之间疑似进展的情况,从而做出更好的决策。