Vianna Jayme R, Chauhan Balwantray C
Department of Ophthalmology and Visual Sciences, Dalhousie University, Halifax, NS, Canada.
Department of Ophthalmology and Visual Sciences, Dalhousie University, Halifax, NS, Canada.
Prog Brain Res. 2015;221:135-58. doi: 10.1016/bs.pbr.2015.04.011. Epub 2015 Jul 2.
Detecting glaucoma progression remains one of the most challenging aspects of glaucoma management, since it can be hard to distinguish disease progression from exam variability and changes due to aging. In this review article, we discuss the use of perimetry, confocal scanning laser tomography and optical coherence tomography to detect glaucoma progression, and the techniques available to evaluate change with these modalities. Currently, there is no consensus on the best technique or criteria to detect glaucoma progression, or what amount of change would be clinically meaningful. New techniques have been developed to assess glaucoma progression, which make more comprehensive and complex use of data. They have the potential of detecting progression with better accuracy, with shorter follow-up periods, and generating better prognostics. Further validation of these new techniques is still required, but their incorporation into clinical practice is likely to yield significant benefits.
检测青光眼进展仍然是青光眼治疗中最具挑战性的方面之一，因为很难将疾病进展与检查变异性以及衰老引起的变化区分开来。在这篇综述文章中，我们讨论了使用视野检查、共焦扫描激光断层扫描和光学相干断层扫描来检测青光眼进展，以及评估这些检查方式变化的可用技术。目前，关于检测青光眼进展的最佳技术或标准，以及何种变化量具有临床意义，尚无共识。已经开发出新技术来评估青光眼进展，这些技术能更全面、复杂地利用数据。它们有可能以更高的准确性、更短的随访期检测进展，并产生更好的预后。这些新技术仍需进一步验证，但将它们纳入临床实践可能会带来显著益处。
