Preliminary results of a semi-automated platform for pixel-based quantification of choroidal naevus progression

Objective: To evaluate a novel method for choroidal naevus progression monitoring using semiautomated software for pixel-based quantification. Methods: Retrospective analysis of patients with choroidal melanotic lesions. In total, 87 eyes fulfilled our inclusion criteria. The progression of the choroidal lesions was evaluated by 2 masked and independent investigators. Total naevus area was measured on fundoscopic images using ImageJ semiautomated segmentation at baseline examination and 5 years later. The efficacy of our method was also tested on a separate patient group applying test-retest analysis. Results: Pixel-based analysis for objective quantification, displayed high repeatability, and reliability. We identified 4 cases of naevus size progression using the described semiautomated technique, while only 2 cases of progression were reported by simple observation. The novel method performance displayed 50% increased sensitivity over simple observation and 100% specificity. Conclusions: The presented method of displayed higher sensitivity and specificity compared to conventional observation and photograph qualification. Our results imply that the proposed methodology may be applicable as an accurate, easily employed diagnostic tool for the early detection of size progression in melanotic choroidal lesions.