Interpretable Automated Detection and Measurement of Dome-Shaped Macula on Optical Coherence Tomography

Purpose: To develop an interpretable automated pipeline for dome-shaped macula (DSM) detection and measurement from optical coherence tomography (OCT) B-scans. Methods: We analyzed one eye from each of 300 children aged 4-18 years in the Shanghai Child and Adolescent Large-scale Eye Study High Myopia (SCALE-HM) cohort (50 DSM-positive; 100 test eyes). A U-Net pretrained on OCTA-500 and fine-tuned on the development set segmented the retinal pigment epithelium (RPE) boundary. A geometric module located the apex, fitted a tangent-line baseline, and computed perpendicular height in physical coordinates. An eye was DSM-positive if any gradable B-scan had height >= 50 um. Two masked graders evaluated the test set; a third adjudicated disagreements. Results: The area under the receiver operating characteristic curve was 0.927 (95% confidence interval [CI], 0.850-0.986), sensitivity was 82.1% (95% CI, 64.4%-92.1%), and specificity was 100% (95% CI, 94.9%-100%) against the adjudicated reference. In concordant-positive eyes, automated height agreed with manual measurements (intraclass correlation coefficient, 0.949; mean absolute error, 6.9 um; bias, -5.7 um, versus Doctor A). Mean RPE-boundary error on pediatric test scans was 1.54 um. Conclusions: The pipeline may be considered a reliable and reproducible tool for automated DSM detection and height measurement on radial OCT, with each value traceable to landmarks on the source B-scan. External validation across populations, devices, and acquisition protocols is needed. Translational Relevance: The pipeline provides an objective and reproducible method to detect DSM and quantify dome height, width, and orientation across OCT meridians. Because each measurement can be verified on the source B-scan, it enables standardized DSM assessment.