• Accueil >
  • Publications >
  • Discrepancy in current central serous chorioretinopathy classification

Discrepancy in current central serous chorioretinopathy classification

1 juin 2019British Journal of Ophthalmology

DOI : 10.1136/bjophthalmol-2018-312435

Auteurs

Sumit Randhir Singh, Alexandre Matet, Elon H C van Dijk, Alejandra Daruich, Sascha Fauser, Suzanne Yzer, Enrico Peiretti, Sobha Sivaprasad, Andrew J Lotery, Camiel J F Boon, Francine Behar-Cohen, K Bailey Freund, Jay Chhablani

Résumé

Aim

To report the discordance in central serous chorioretinopathy (CSCR) classification among practising retina specialists.

Methods

The study conducted was a multicentre survey. Multimodal retinal images along with relevant clinical details of 100 cases diagnosed as CSCR (from six centres) were circulated among six retina specialists across the globe. The image sets included colour fundus photographs, fundus autofluorescence images, optical coherence tomography b-scans, fluorescein and indocyanine green angiography of the study and fellow eyes. The graders were asked to classify the disease of study eye, according to their own criteria. The graders were masked to the responses of other graders. The final analysis of the pooled response data was done based on the diagnosis of study eye only. The main outcome measure was degree of agreement between six independent observers using Fleiss Kappa statistics.

Results

Grading for 100 eyes of 100 patients (men, 93%) was included in the analysis. 20 patients had a history of steroid use. The graders provided 36 different terms to classify the disease, with poor agreement among graders (Fleiss Kappa=0.134). The consistency in diagnosing acute CSCR was statistically higher than for either chronic (p=0.012) or recurrent CSCR (p<0.0001). When collapsing descriptors into six main terms, agreement remained poor (Fleiss Kappa=0.218).

Conclusion

The high discordance among experienced retina specialists in describing CSCR clinical subtypes is highlighted. The current work demonstrates the limitations of current empirical CSCR classification methods and the need for a more objective and refined system to bring uniformity in diagnosis and prognostication of the disease.