Establishing an objective biomarker for corneal cystinosis using a threshold‐based Spectral domain optical coherence tomography imaging algorithm
Autor: | Leonie Keidel, Carolin Elhardt, Katharina Hohenfellner, Siegfried Priglinger, Benedikt Schworm, Christian Wertheimer, Claudia Priglinger, Nikolaus Luft, S Bechtold Dalla Pozza, C Bergmann, M Buss, R Dosch, J Erler, T Getzinger, N Herzig, K Hohenfellner, H Holla, C Knerr, C Koeppl, C Ockert, M Passow, J Rohayem, G Steidle, A Thiele, U Treikauskas, K Vill, R Weber, D Weitzel |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male medicine.medical_specialty Adolescent genetic structures Cystinosis Grayscale Corneal Diseases Cornea Young Adult 03 medical and health sciences 0302 clinical medicine Optical coherence tomography Ophthalmology medicine Image segmentation algorithm Humans Prospective Studies Child Microscopy Confocal medicine.diagnostic_test Pixel business.industry General Medicine medicine.disease eye diseases medicine.anatomical_structure Imaging algorithm 030221 ophthalmology & optometry Biomarker (medicine) Female sense organs business Algorithms Tomography Optical Coherence 030217 neurology & neurosurgery Follow-Up Studies |
Zdroj: | Acta Ophthalmologica. 99 |
ISSN: | 1755-3768 1755-375X |
Popis: | PURPOSE The purpose of the present study was to establish a semi-automated threshold-based image segmentation algorithm to detect and objectively quantify corneal cystine crystal deposition in ocular cystinosis with anterior segment optical coherence tomography (AS-OCT). METHODS This prospective, observational, comparative study included 88 eyes of 45 patients from the German Cystinosis Registry Study as well as 68 eyes of 35 healthy control subjects. All eyes were imaged with AS-OCT (Cirrus HD-OCT 5000, Carl Zeiss Meditec AG, Jena, Germany). As an initial step, B-scan images were subjectively analysed for typical changes in morphology in comparison to healthy controls. Based on the experience gained, an objective semi-automated B-scan image segmentation algorithm was developed using a grey scale value-based threshold method to automatically quantify corneal crystals. RESULTS On AS-OCT B-scans, corneal crystals appeared as hyperreflective deposits within the corneal stroma. The crystals were distributed either in all stromal layers (43 eyes, 49%) or confined to the anterior (23 eyes, 26%) or posterior stroma (22 eyes, 25%), respectively. The novel automatic B-scan image segmentation algorithm was most efficient in delineating corneal crystals at higher grey scale thresholds (e.g. 226 of a maximum of 255). Significant differences in suprathreshold grey scale pixels were observable between cystinosis patients and healthy controls (p |
Databáze: | OpenAIRE |
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