| Presentation preference | Oral presentation |
| Title | Automated lesion segmentation and quantification for prediction of paradoxical worsening in patients with Tubercular serpiginous-like choroiditis |
| Purpose | To develop and evaluate a fully automated pipeline that analyzes color fundus images in patients with TB SLC for prediction of PW. |
| Methods | Retrospective study, patients with TB SLC with a follow-up of 9 months after initiation of ATT were included. A fully automated custom-designed pipeline developed after confirming reliability using Bland-Altman plots and intraclass correlation coefficient (ICC), the pipeline was deployed for all patients. Two automatic thresholding algorithms were applied and quantitative metrics were compared between PW+ and PW- groups using non-parametric tests and logistic regression model to assess binary classification performance. |
| Results | The study included 139 patients (139 eyes; 92 M and 47 F; mean age: 44.8 ± 11.3 Yrs) with TB SLC. The PW+ group had significantly higher mean lesion area (p=0.0152), mean pixel intensity (p=0.0181), and integrated pixel intensity (p<0.0001) compared to the PW- group. Using a sensitivity optimized threshold cut-off for mean pixel intensity, an area under the curve of 0.87 was achieved (sensitivity: 96.80% and specificity: 72.09%). |
| Conclusion | Automated calculation of lesion metrics such as mean pixel intensity and segmented area in TB SLC is a novel approach with good repeatability in predicting PW during the follow-up. |
| Conflict of interest | No |
Authors 1
| Last name | DANGI |
| Initials of first name(s) | M |
| Department | Advanced Eye Centre, Post Graduate Institute of Medical Education and Research |
| City | Chandigarh |
| Country | India |
Authors 2
| Last name | KALRA |
| Initials of first name(s) | G |
| Department | Cole Eye Institute , Cleveland Clinic, |
| City | Ohio |
| Country | United States |
Authors 3
| Last name | AGARWAL |
| Initials of first name(s) | A |
| Department | Eye Institute, Cleveland Clinic Abu Dhabi |
| City | Abu Dhabhi |
| Country | United Arab Emirates |
Authors 4
| Last name | MARCHESE |
| Initials of first name(s) | A |
| Department | San Raffaele Scientific Institute |
| City | Milan |
| Country | Italy |
Authors 5
| Last name | BANSAL |
| Initials of first name(s) | R |
| Department | AEC, PGIMER |
| City | Chandigarh |
| Country | India |
Authors 6
| Last name | GUPTA |
| Initials of first name(s) | V |
| Department | AEC, PGIMER |
| City | Chandigarh |
| Country | India |
