Optical Coherence Tomographic Correlates of Angiographic Subtypes of Occult Choroidal Neovascularization

2013 ◽  
Vol 54 (13) ◽  
pp. 8020 ◽  
Author(s):  
Amirhossein Hariri ◽  
Florian M. Heussen ◽  
Muneeswar Gupta Nittala ◽  
SriniVas R. Sadda
2020 ◽  
Author(s):  
Chang-Xi Chen ◽  
Mei-Ling Liu ◽  
Kai Cao ◽  
Mayinuer Yusufu ◽  
Jin-Da Wang

Objective: To evaluate the diagnostic value of optical coherence tomography angiography (OCTA) in detecting the choroidal neovascularization (CNV) in agerelated macular degeneration (AMD). Methods: A systematic review and meta-analysis was performed by searching Pubmed, Science Direct, Embase and Web of Science. The pooled sensitivity and specificity with 95% confidence intervals (CIs), area under the summary receiver operator characteristic curve (sROC), and the total accurate classification rate were used to evaluate OCTA’ diagnostic value of CNV in AMD patients. Results: Seven studies involving 517 eyes were included in the analysis. The mean age of subjects in each study ranged from 58.5 years to 81.7 years. Fluorescein angiography was applied as the gold standard in five studies. There were 350 eyes diagnosed with CNV, OCTA detected 301 eyes correctly, while among the 167 eyes without CNV, OCTA identified 150 correctly. The total accurate classification rate was 87.23%. The Spearman's rank correlation coefficient was 0.5, indicating that there was no significant threshold effect in the current study (S=8, p=0.103). The pooled sensitivity and pooled specificity were 0.89 (95%CI: 0.82,0.94) and 0.96 (95%CI: 0.85,1.00) respectively. The area under sROC was up to 0.911. Conclusion: The specificity of OCTA for the detection of CNV in AMD patients is extremely high, however, the sensitivity still needs to be improved. In general, the metaanalysis revealed that OCTA had a high diagnostic value for the detection of CNV in AMD patients.


2013 ◽  
Vol 155 (5) ◽  
pp. 913-919.e1 ◽  
Author(s):  
Nicolas Leveziel ◽  
Violaine Caillaux ◽  
Sylvie Bastuji-Garin ◽  
Mathieu Zmuda ◽  
Eric H. Souied

Sign in / Sign up

Export Citation Format

Share Document