A Study Validating the Estimation of Anterior Chamber Depth and Iridocorneal Angle with Portable and Non-Portable Slit-Lamp Microscopy.
Eisuke ShimizuHiroyuki YazuNaohiko AketaRyota YokoiwaShinri SatoJunichiro YajimaTaiichiro KatayamaRio SatoMakoto TanjiYasunori SatoYoko OgawaMasayuki OhtaPublished in: Sensors (Basel, Switzerland) (2021)
This study assessed the anterior chamber depth (ACD) and iridocorneal angle using a portable smart eye camera (SEC) compared to the conventional slit-lamp microscope and anterior-segment optical coherence tomography (AS-OCT). This retrospective case-control study included 170 eyes from 85 Japanese patients. The correlation between the ACD evaluations conducted with the SEC and conventional slit-lamp was high (r = 0.814). The correlation between the Van-Herick Plus grade obtained using two devices was also high (r = 0.919). A high kappa value was observed for the Van-Herick Plus grading (Kappa = 0.757). A moderate correlation was observed between the ACD measured using AS-OCT and the slit-lamp image acquired with the conventional slit-lamp microscope and SEC (r = 0.609 and 0.641). A strong correlation was observed between the trabecular-iris angle (TIA) measured using AS-OCT and Van-Herick Plus grade obtained with the conventional slit-lamp microscope and SEC (r = 0.702 and 0.764). Strong correlations of ACD evaluation and high kappa value of the Van-Herick Plus grading indicated the adequate subjective assessment function of the SEC. Moderate correlations between the ACD objective measurement and evaluation and strong correlation between the TIA and Van-Herick Plus grade suggested the good objective assessment function of the SEC. The SEC demonstrated adequate performance for ACD evaluation and angle estimation.
Keyphrases
- optical coherence tomography
- loop mediated isothermal amplification
- high resolution
- diabetic retinopathy
- nuclear factor
- optic nerve
- machine learning
- high speed
- deep learning
- high intensity
- depressive symptoms
- single molecule
- high throughput
- immune response
- mass spectrometry
- convolutional neural network
- postmenopausal women
- sleep quality
- cross sectional