Frampton G K, Kalita N, Payne L, Colquitt J L, Loveman E, Downes S M, Lotery A J
Southampton Health Technology Assessments Centre (SHTAC), Faculty of Medicine, University of Southampton, Southampton, UK.
Department of Psychology, Faculty of Social, Human and Mathematical Sciences, University of Southampton, Southampton, UK.
Eye (Lond). 2017 Jul;31(7):995-1007. doi: 10.1038/eye.2017.19. Epub 2017 Mar 10.
We conducted a systematic review of the accuracy of fundus autofluorescence (FAF) imaging for diagnosing and monitoring retinal conditions. Searches in November 2014 identified English language references. Sources included MEDLINE, EMBASE, the Cochrane Library, Web of Science, and MEDION databases; reference lists of retrieved studies; and internet pages of relevant organisations, meetings, and trial registries. For inclusion, studies had to report FAF imaging accuracy quantitatively. Studies were critically appraised using QUADAS risk of bias criteria. Two reviewers conducted all review steps. From 2240 unique references identified, eight primary research studies met the inclusion criteria. These investigated diagnostic accuracy of FAF imaging for choroidal neovascularisation (one study), reticular pseudodrusen (three studies), cystoid macular oedema (two studies), and diabetic macular oedema (two studies). Diagnostic sensitivity of FAF imaging ranged from 32 to 100% and specificity from 34 to 100%. However, owing to methodological limitations, including high and/or unclear risks of bias, none of these studies provides conclusive evidence of the diagnostic accuracy of FAF imaging. Study heterogeneity precluded meta-analysis. In most studies, the patient spectrum was not reflective of those who would present in clinical practice and no studies adequately reported whether FAF images were interpreted consistently. No studies of monitoring accuracy were identified. An update in October 2016, based on MEDLINE and internet searches, identified four new studies but did not alter our conclusions. Robust quantitative evidence on the accuracy of FAF imaging and how FAF images are interpreted is lacking. We provide recommendations to address this.
我们对眼底自发荧光(FAF)成像在诊断和监测视网膜疾病方面的准确性进行了系统评价。2014年11月进行检索,确定了英文参考文献。来源包括MEDLINE、EMBASE、Cochrane图书馆、科学网和MEDION数据库;检索到的研究的参考文献列表;以及相关组织、会议和试验注册库的网页。纳入的研究必须定量报告FAF成像的准确性。使用QUADAS偏倚风险标准对研究进行严格评价。两名评审员进行了所有的评审步骤。从确定的2240篇独特参考文献中,有八项主要研究符合纳入标准。这些研究调查了FAF成像对脉络膜新生血管(一项研究)、网状假性玻璃膜疣(三项研究)、黄斑囊样水肿(两项研究)和糖尿病性黄斑水肿(两项研究)的诊断准确性。FAF成像的诊断敏感性范围为32%至100%,特异性范围为34%至100%。然而,由于方法学上的局限性,包括高偏倚风险和/或不明确的偏倚风险,这些研究均未提供FAF成像诊断准确性的确凿证据。研究的异质性排除了进行荟萃分析的可能性。在大多数研究中,患者群体不能反映临床实践中会出现的患者,而且没有研究充分报告FAF图像的解读是否一致。未发现监测准确性的研究。2016年10月基于MEDLINE和互联网搜索进行的更新,确定了四项新研究,但并未改变我们的结论。缺乏关于FAF成像准确性以及FAF图像如何解读的有力定量证据。我们为此提供了建议。