Automated Clinical Assessment of Corneal Guttae in Fuchs Endothelial Corneal Dystrophy
| Autor: | Yu Qiang Soh, Gary S L Peh, Sacha L. Naso, Viridiana Kocaba, Jodhbir S. Mehta |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Test frame medicine.medical_specialty Descemet membrane Visual Acuity Corneal guttae Automation 03 medical and health sciences 0302 clinical medicine Ophthalmology Reliability study Image Processing Computer-Assisted Photography Humans Medicine Diagnosis Computer-Assisted Descemet Membrane Aged 030304 developmental biology Aged 80 and over 0303 health sciences business.industry Fuchs' Endothelial Dystrophy Reproducibility of Results Middle Aged Extracellular Matrix Transplantation 030221 ophthalmology & optometry Female Manual segmentation business Algorithms Descemet Stripping Endothelial Keratoplasty Fuchs Endothelial Corneal Dystrophy |
| Zdroj: | American Journal of Ophthalmology. 221:260-272 |
| ISSN: | 0002-9394 |
| Popis: | Purpose To describe the validation and implementation of an automated system for the detection and quantification of guttae in Fuchs endothelial corneal dystrophy (FECD). Design Observational reliability study. Methods Patients with FECD underwent retroillumination corneal photography, followed by determination of the distributions and sizes of corneal guttae by an automated image analysis algorithm. Performance of the automated system was assessed via (1) validation against manual guttae segmentation, (2) reproducibility studies to ensure consistency, and (3) evaluation for agreement with the Krachmer scale. It was then deployed to perform large-scale guttae assessment with anatomic subregion analysis in a batch of 40 eyes. Results Compared to manual segmentation, the automated system was reasonably accurate in identifying the correct number of guttae (mean count of 78 guttae per 1 × 1 mm test frame, overestimation: +10 per frame), but had a tendency to significantly overestimate guttae size (mean guttae size 1073 μm2, overestimation: +255 μm2). Automated measurements of guttae counts and sizes were reproducible within a 1% discrepancy range across repeat intra-eye assessments. Automated guttae counts, interguttae distances, and density of interguttae gaps lesser than 40 μm (ie, D40 density) were highly correlated with the Krachmer scale (P Conclusions Automated guttae assessment facilitates the precise identification and quantification of guttae characteristics in FECD patients. This can be used clinically as a personalized descemetorrhexis zone for Descemet stripping only and/or Descemet membrane transplantation. |
| Databáze: | OpenAIRE |
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