Interpretable Automated Detection and Measurement of Dome-Shaped Macula on Optical Coherence Tomography
- 1Shanghai Eye Diseases Prevention and Treatment Center
Abstract
PurposeTo develop an interpretable automated pipeline for dome-shaped macula (DSM) detection and measurement from optical coherence tomography (OCT) B-scans.
MethodsWe 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 {micro}m. Two masked graders evaluated the test set; a third adjudicated disagreements.
ResultsThe 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 {micro}m; bias, -5.7 {micro}m, versus Doctor A). Mean RPE-boundary error on pediatric test scans was 1.54 {micro}m.
ConclusionsThe pipeline may be considered a reliable and reproducible tool for automated DSM detection and height measurement on radial OCT, with each value traceable to land-marks on the source B-scan. External validation across populations, devices, and acquisition protocols is needed.
Translational RelevanceThe 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.
Related
- Artificial Intelligence‐Assisted Automated Optical Coherence Tomography Analysis for Percutaneous Coronary Intervention Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization
- Automated segmentation and clinical characterization of layered plaque in intracoronary optical coherence tomography
- Detectability of feeding arteries using automated feeding artery detection software based on computed tomography arteriography in transarterial embolisation
- Retained lens fragments obscured by bullous keratopathy: Anterior segment optical coherence tomography before and after endothelial keratoplasty
- Serial bedside retinal optical coherence tomography angiography in sepsis associated circulatory dysfunction
BibTeX
@misc{yang2026interpretable,
title = {{Interpretable Automated Detection and Measurement of Dome-Shaped Macula on Optical Coherence Tomography}},
author = {F. Yang and Y. Zhou and B. Zhang and J. Yang and L. Du and C. Yu and X. Chen and J. Zhu and Y. Wang and X. He},
howpublished = {medRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.28.26356190},
url = {https://www.medrxiv.org/content/10.64898/2026.09.28.26356190v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - Interpretable Automated Detection and Measurement of Dome-Shaped Macula on Optical Coherence Tomography
AU - F. Yang
AU - Y. Zhou
AU - B. Zhang
AU - J. Yang
AU - L. Du
AU - C. Yu
AU - X. Chen
AU - J. Zhu
AU - Y. Wang
AU - X. He
PY - 2026
DA - 2026/09/28
PB - medRxiv
DO - 10.64898/2026.09.28.26356190
UR - https://www.medrxiv.org/content/10.64898/2026.09.28.26356190v1
AB - PurposeTo develop an interpretable automated pipeline for dome-shaped macula (DSM) detection and measurement from optical coherence tomography (OCT) B-scans. MethodsWe 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 {micro}m. Two masked graders evaluated the test set; a third adjudicated disagreements. ResultsThe 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 {micro}m; bias, -5.7 {micro}m, versus Doctor A). Mean RPE-boundary error on pediatric test scans was 1.54 {micro}m. ConclusionsThe pipeline may be considered a reliable and reproducible tool for automated DSM detection and height measurement on radial OCT, with each value traceable to land-marks on the source B-scan. External validation across populations, devices, and acquisition protocols is needed. Translational RelevanceThe 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.
ER -