Update on the management of chronic central serous chorioretinopathy

QUANTITATIVE AUTOFLUORESCENCE IN CENTRAL SEROUS CHORIORETINOPATHY

BACKGROUND/PURPOSE

Central serous chorioretinopathy (CSC) is associated with pachychoroid and dysfunctional retinal pigment epithelium. Autofluorescence (AF) is typically altered. The authors performed this study to quantify these alterations using quantitative AF (qAF) in patients with CSC and in their fellow eye in comparison with a healthy control group.

METHODS

Patients with CSC and healthy controls were recruited prospectively. All patients received a full clinical examination including best-corrected visual acuity, enhanced depth imaging-optical coherence tomography, and qAF. Quantitative autofluorescence images were taken with a confocal scanning laser ophthalmoscope (Heidelberg Engineering). Quantitative autofluorescence values were assessed in specified regions of the inner eight and the middle ring of the Delori grid.

RESULTS

In total, 141 eyes of 77 patients with CSC were included. Ninety eyes had a manifest CSC (group 1) while 51 fellow eyes (group 2) did not show signs of CSC. There were no significant differences of qAF values between these two groups: mean qAF values were 241.3 (inner eight) and 212.8 (middle ring) in group 1 and 235.9 (inner eight) and 210.0 (middle ring) in group 2 ( P = 1.0 and 1.0). We compared these eyes with healthy controls comprising 39 eyes. Quantitative autofluorescence signals (inner eight: 164.7; middle ring: 148.9) differed significantly compared with both CSC manifest ( P < 0.001) and fellow eyes ( P < 0.001).

CONCLUSION

Our results show that patients with CSC have increased qAF values in both eyes with manifest CSC and asymptomatic, clinically unremarkable fellow eyes in comparison with healthy controls. This finding suggests that qAF alterations are present even before clinical signs can be observed.

Evaluation of the Retinal Vessel Density and Subfoveal Choroidal Thickness in Central Cerous Chorioretinopathy Using Optical Coherence Tomography

PURPOSE

The purpose of this study was to quantitatively assess changes in the subfoveal choroidal thickness (SFCT) and superficial retinal vessel density (SRVD) in acute and chronic central serous chorioretinopathy (CSCR) patients, and estimate the correlation of SFCT and SRVD with best-corrected visual acuity (BCVA), respectively, using spectral domain optical coherence tomography (SD-OCT) and optical coherence tomography angiography (OCTA).

METHODS

This was a cross-sectional, case-control study. The study included CSCR patients treated at the Ho Chi Minh City Eye Hospital from May 2022 to October 2022.

RESULTS

A total of 91 subjects (182 eyes) were included in this study, with 74 eyes in the unilateral acute CSCR group and 17 eyes in the unilateral chronic CSCR group; 91 eyes in the control group were patients' unaffected other eyes. The mean age was 40.78 ± 1.26 years (ranging from 31 to 45 years). The proportions of male and female patients were 78.0% and 22.0%, respectively. The major symptom was reduced vision, and the mean BCVA was 0.36 ± 0.05 logMAR. The mean SFCT of CSCR eyes was 357.2 ± 11.8 μm, which was 290.4 ± 8.5 μm in the control group (p < 0.05). The mean SRVD of chronic CSCR (24.2 ± 4.94%) and acute CSCR (28 ± 2.33%) eyes was lower compared with the control group (21.7 ± 1.87%). SFCT had a correlation with BCVA (r = -0.490, p < 0.05) in chronic CSCR; the center region of SRVD was likewise correlated with BCVA (r = -0.384, p < 0.05) and the parafoveal region of SRVD was also correlated with BCVA (r = -0.271, p < 0.05).

CONCLUSION

Both altered SFCT and SRVD were identified in CSCR patients by SD-OCT and 6 x 6 mm OCT angiography scans, and both were found to be correlated with BCVA. SD-OCT along with OCTA could be a good technique for quantitatively evaluating different CSCR courses.

Fuji sign: Prevalence and predictive power to photodynamic therapy in chronic central serous chorioretinopathy

AIM

To determine the prevalence of Fuji sign in central serous chorioretinopathy (cCSC) patients and its predictive power of good response to photodynamic therapy (PDT).

METHODS

Retrospective study, including 135 eyes of 130 patients diagnosed with cCSC treated with PDT between 2017 and 2021. Optical Coherence Tomography (OCT) images from these patients were compiled and analyzed. The presence of the Fuji sign, an anatomical finding recently described as a predictor of spontaneous resolution of the subretinal fluid (SRF) in cCSC, as assessed in basal images and the maximum height of SRF pre- and post-PDT OCT was measured.

RESULTS

Mean age was 56.6 years, 69.4% were men and the percentage of partial or complete resolution of the SRF after PDT was 75.55%. Only 8.9% of patients (12/135) had positive Fuji sign at baseline OCT. Among them, 50% (6/12) presented a complete response to the PDT (pre-PDT SRF: 109.00 (29.61) µm), 8.3% (1/12) had a partial resolution of the SRF (127 µm to 66 µm) and 41.6% (5/12) did not respond to PDT (pre-PDT SRF: 71.00 (22.82) µm, post-PDT SRF: 83.60 (36.13) µm).

CONCLUSIONS

Fuji sign has a low prevalence in cCSC and its presence is not associated with a good response to PDT.

Prediction of the response to photodynamic therapy in patients with chronic central serous chorioretinopathy based on optical coherence tomography using deep learning

PURPOSE

To assess the prediction of the response to photodynamic therapy (PDT) in chronic central serous chorioretinopathy (CSCR) based on spectral-domain optical coherence tomography (SD-OCT) images using deep learning (DL).

METHODS

Retrospective study including 216 eyes of 175 patients with CSCR and persistent subretinal fluid (SRF) who underwent half-fluence PDT. SD-OCT macular examination was performed before (baseline) and 3 months after treatment. Patients were classified into groups by experts based on the response to PDT: Group 1, complete SRF resorption (n = 100); Group 2, partial SRF resorption (n = 66); and Group 3, absence of any SRF resorption (n = 50). This work proposes different computational approaches: 1st approach compares all groups; 2nd compares groups 1 vs. 2 and 3 together; 3rd compares groups 2 vs. 3.

RESULTS

The mean age was 55.6 ± 10.9 years and 70.3% were males. In the first approach, the algorithm showed a precision of up to 57% to detect the response to treatment in group 1 based on the initial scan, with a mean average accuracy of 0.529 ± 0.035. In the second model, the mean accuracy was higher (0.670 ± 0.046). In the third approach, the algorithm showed a precision of 0.74 ± 0.12 to detect the response to treatment in group 2 (partial SRF resolution) and 0.69 ± 0.15 in group 3 (absence of SRF resolution).

CONCLUSION

Despite the high clinical variability in the response of chronic CSCR to PDT, this DL algorithm offers an objective and promising tool to predict the response to PDT treatment in clinical practice.