Tatham Andrew J, Weinreb Robert N, Medeiros Felipe A
Hamilton Glaucoma Center, Department of Ophthalmology, University of California, La Jolla, CA, USA.
Clin Ophthalmol. 2014 Mar 26;8:611-21. doi: 10.2147/OPTH.S44586. eCollection 2014.
The early detection of glaucoma is important in order to enable appropriate monitoring and treatment, and to minimize the risk of irreversible visual field loss. Although advances in ocular imaging offer the potential for earlier diagnosis, the best method is likely to involve a combination of information from structural and functional tests. Recent studies have shown it is possible to estimate the number of retinal ganglion cells from optical coherence tomography and standard automated perimetry, and to then pool the results to produce a combined structure-function index (CSFI). The CSFI represents the estimated percentage of retinal ganglion cells lost compared to an age-matched healthy eye. Previous studies have suggested that the CSFI is better able to detect glaucoma than isolated measures of structure and function, and that it performs well even in preperimetric glaucoma. The purpose of this review is to describe new strategies, such as the CSFI, that have the potential to improve the early detection of glaucoma. We also describe how our ability to detect early glaucoma may be further enhanced by incorporating demographic risk factors, clinical examination findings, and imaging and functional test results into intuitive models that provide estimates of disease probability.
青光眼的早期检测对于进行适当的监测和治疗以及将不可逆视野丧失的风险降至最低至关重要。尽管眼部成像技术的进步为早期诊断提供了可能,但最佳方法可能是结合结构和功能测试的信息。最近的研究表明,通过光学相干断层扫描和标准自动视野计可以估计视网膜神经节细胞的数量,然后汇总结果以产生一个综合的结构 - 功能指数(CSFI)。CSFI代表与年龄匹配的健康眼睛相比,估计丢失的视网膜神经节细胞的百分比。先前的研究表明,与单独的结构和功能测量相比,CSFI能更好地检测青光眼,并且即使在视野缺损前期青光眼患者中也表现良好。本综述的目的是描述诸如CSFI等有可能改善青光眼早期检测的新策略。我们还描述了如何通过将人口统计学风险因素、临床检查结果以及成像和功能测试结果纳入能提供疾病概率估计的直观模型中,进一步提高我们检测早期青光眼的能力。