Outcome Predictors of SD-OCT-Driven Intravitreal Ranibizumab in Choroidal Neovascularization due to Myopia

PREDICTIVE ROLES OF QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES IN PROGNOSIS OF MYOPIC CHOROIDAL NEOVASCULARIZATION

PURPOSE

To explore the predictive roles of the morphologic features of neovascularization in the prognosis of myopic choroidal neovascularization.

METHODS

In this retrospective case series study, quantitative morphologic features of neovascularization were obtained from the optical coherence tomography angiography images. According to the number of anti-vascular endothelial growth factor injections administered within 1 year, the eyes were classified into a stable group (≤2 injections) or an unstable group (>2 injections). Best-corrected visual acuity was recorded before the treatment and at the 1-year follow-up.

RESULTS

Overall, 50 eyes with treatment-naive myopic choroidal neovascularization were included; 26 in the stable group and 24 in the unstable group. Multivariate analysis showed that the eyes in the unstable group were associated with a larger lesion area (odds ratio = 2.596, P = 0.012), higher junction density (odds ratio = 1.611, P = 0.014), and higher end point density (odds ratio = 1.435, P = 0.023).The area under the receiver operating characteristic curve of the multivariate model was 0.865, with 91.7% sensitivity and 65.4% specificity. The final best-corrected visual acuity was significantly correlated with the lesion area (β = 0.152, P = 0.032) after adjusted for age, sex, and baseline best-corrected visual acuity.

CONCLUSION

Lesions with larger areas and higher end point and junction densities tended to have more frequent anti-vascular endothelial growth factor injections and worse visual outcomes in eyes with myopic choroidal neovascularization.

Prediction of Visual Acuity in Pathologic Myopia with Myopic Choroidal Neovascularization Treated with Anti-Vascular Endothelial Growth Factor Using a Deep Neural Network Based on Optical Coherence Tomography Images

Myopic choroidal neovascularization (mCNV) is a common cause of vision loss in patients with pathological myopia. However, predicting the visual prognosis of patients with mCNV remains challenging. This study aimed to develop an artificial intelligence (AI) model to predict visual acuity (VA) in patients with mCNV. This study included 279 patients with mCNV at baseline; patient data were collected, including optical coherence tomography (OCT) images, VA, and demographic information. Two models were developed: one comprising horizontal/vertical OCT images (H/V cuts) and the second comprising 25 volume scan images. The coefficient of determination (R2) and root mean square error (RMSE) were computed to evaluate the performance of the trained network. The models achieved high performance in predicting VA after 1 (R2 = 0.911, RMSE = 0.151), 2 (R2 = 0.894, RMSE = 0.254), and 3 (R2 = 0.891, RMSE = 0.227) years. Using multiple-volume scanning, OCT images enhanced the performance of the models relative to using only H/V cuts. This study proposes AI models to predict VA in patients with mCNV. The models achieved high performance by incorporating the baseline VA, OCT images, and post-injection data. This model could assist in predicting the visual prognosis and evaluating treatment outcomes in patients with mCNV undergoing intravitreal anti-vascular endothelial growth factor therapy.

Optical coherence tomography biomarkers for myopic choroidal neovascularization treated with anti-vascular endothelial growth factor

In recent years, optical coherence tomography (OCT) biomarkers for specific retinal diseases have been found to be associated with treatment outcome and disease recurrence. The main purposes of this study were to identify OCT biomarkers for myopic choroidal neovascularization (mCNV) treated with intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF). OCT features in 43 eyes of 39 patients with mCNV treated with anti-VEGF with at least 1 year of follow-up were retrospectively analyzed. Eyes with subretinal hyperreflective material (SHM) in baseline spectral-domain OCT (SD-OCT) had significantly more visual improvement than eyes without SHM at month 6 (p = 0.007) and had a trend of more visual improvement than eyes without SHM (p = 0.058) at month 12. Eyes with subretinal fluid (SRF) at baseline had significantly more central retinal thickness (CRT) decrease than patients without SRF at month 6 and 12 (p = 0.012 and 0.006 respectively). In univariate regression analysis, dome-shaped macula (DSM), SRF in baseline OCT image and fuzzy border of mCNV when entering pro re nata (PRN) injection protocol tended to have higher risk of disease recurrence in 1 year (odds ratio: 14.86 (p = 0.003), 3.75 (p = 0.049) and 22.92 (p < 0.001) respectively). However, they were not significant in multivariate regression analysis. OCT biomarkers at baseline could provide prognostic information for mCNV management.

Prospective Study Comparing Quantitative Self-Monitoring Metamorphopsia Measurement Tools in Myopic Choroidal Neovascularization (mCNV)

Purpose

To assess the ability of two self-monitoring digital devices to detect metamorphopsia in myopic choroidal neovascularization (mCNV) and compare their usability.

Patients and Methods

This was a 12-month prospective observational study at a tertiary care eye hospital, Switzerland. Twenty-three Caucasian patients with mCNV were recruited, 21 eyes were analyzed. Primary and secondary outcome measures: Primary outcome measures were the metamorphopsia index scores as assessed by the two self-monitoring digital devices (Alleye App and AMD - A-Metamorphopsia-Detector software) at baseline, at 6 and 12 months and individual optional visits in between. Secondary outcome measures included best corrected visual acuity and morphological parameters (including disease activity) as evaluated by spectral-domain optical coherence tomography and fundus autofluorescence imaging. Location of mCNV was graded using the Early Treatment of Diabetic Retinopathy Study grid overlay. A usability questionnaire was administered at 12 months. Bland-Altman plots evaluated the limits of agreement of both devices. Linear regression analysis assessed the correlation between the difference and the average of the two scores.

Results

A total of 202 tests were performed. Disease activity of mCNV was observed at least once in 14 eyes. Both scores concordantly detected metamorphopsia exhibiting a displaced scale of measurement yielding a coefficient of determination of 0.99. Concordance rate for pathological scores was 73.3%. Both scores were not significantly different in active and inactive mCNV. Overall, the usability scores were higher for the Alleye App than the AMD - A-Metamorphopsia-Detector software (4.61±0.56 vs 3.31±1.20; p<0.001). In subjects aged >75 years, scores were slightly lower (4.08±0.86 vs 2.97±1.16; p= 0.032).

Conclusion

Whilst both self-monitoring devices concordantly identified metamorphopsia, they might act as an adjunct to hospital visits, but due to slight reactivations in mCNV and presence of metamorphopsia also in inactive disease the ability of detecting early mCNV activity might be limited.

Baseline predictors for good visual gains after anti-vascular endothelial growth factor therapy for myopic choroidal neovascularization

To investigate optical coherence tomography (OCT) and OCT angiography (OCTA) biomarkers for good visual outcomes in eyes with myopic choroidal neovascularization (mCNV) following anti-vascular endothelial growth factor (anti-VEGF) therapy. Patients diagnosed with mCNV via multimodal imaging were retrospectively reviewed. Baseline demographic data and biomarkers were collected. Anti-VEGF treatment based on a pro re nata (PRN) regimen was conducted on all eyes. The visual gains of ≥ 15 ETDRS letters or < 15 letters at 12-month were classified into two groups. Regression analysis was used to identify variables associated with significant best-corrected visual acuity (BCVA) improvement. Among 34 patients, 17 eyes and 17 eyes were classified into the two groups. There were no statistically significant differences in qualitative OCTA biomarkers between the two groups. The ≥ 15 letters group had significantly thicker subfoveal choroid thickness (SFCT) (79.97 ± 33.15 vs. 50.66 ± 18.31, P = 0.003), more ellipsoid zone integrity (58.8% vs. 23.5%, P = 0.037) and lower levels of fractal dimension (1.45 ± 0.101 vs. 1.53 ± 0.082, P = 0.031) than the < 15 letters group. SFCT and the ellipsoid zone integrity were correlated with 15 letters or more VA improvement in both univariable and multivariable analyses (P = 0.023 and P = 0.044, respectively). Thicker SFCT and integrity of the ellipsoid zone at baseline were associated with greater visual gains at 12 months. OCTA biomarkers seem to play a less important role in predicting the visual outcome of mCNV.

Algorithm of the major and minor diagnostic criteria for active myopic choroidal neovascularization

PURPOSE

To propose an algorithm of the major and minor diagnostic criteria for macular myopic choroidal neovascularization (mCNV).

METHODS

This single-center, retrospective, cross-sectional study was based in Istituto Auxologico Italiano, Milan, Italy. Two authors evaluated the clinical and imaging parameters of eyes with high myopia (spherical equivalent of -6D or less) and suspected to have naïve, recurrent, or inactive mCNV. Recordings of the eyes that met the inclusion criteria were then independently evaluated by two other senior retinal specialists. Fluorescein angiography (FA), spectral domain optical coherence tomography (SD-OCT), and OCT angiography were used for multimodal imaging.

RESULTS

One-hundred and twenty-two eyes (n = 107; 39 men, 68 women) were included in the study. The mean patient age was 66 years (range, 22-89 years). There were 83 and 39 eyes in the active mCNV and control groups, respectively. The best diagnostic algorithm had positive- and negative-predictive values of 89% and 85%, respectively, and was based on four criteria: leakage/staining on FA, retinal thickening, fuzzy area on SD-OCT, and recent metamorphopsia. When excluding FA-derived findings, retinal pigment epithelium (RPE) features played a diagnostic role in 33 eyes (27%). Twenty-seven eyes with active mCNV (32%) did not have the fuzzy area. Taken singularly, no clinical or imaging parameter had both sensitivity and specificity greater than 78%. Matching of 2 or 3 biomarkers did not yield a sensitivity or specificity greater than 79%. Sensitivities and specificities ≥ 90% were found in ten criteria combinations that included four to five biomarkers. The most frequent were metamorphopsia, fuzzy area, retinal thickening, and leakage. Less frequently, they included hemorrhage, staining, and RPE features such as elevation, flattening, and focal interruption. For all the parameters, the agreement between the investigators was good (Cohen k ≥ 0.66), being the lowest when detecting the ELM interruption within the lesion.

CONCLUSIONS

A combination of at least four clinical and biological markers yielded the highest positive- and negative-predictive values. More ("major") and less ("minor") frequent diagnostic criteria are proposed.