The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme.
Br J Ophthalmol
; 91(11): 1512-7, 2007 Nov.
Article
em En
| MEDLINE
| ID: mdl-17504851
ABSTRACT
AIM:
To assess the efficacy of automated "disease/no disease" grading for diabetic retinopathy within a systematic screening programme.METHODS:
Anonymised images were obtained from consecutive patients attending a regional primary care based diabetic retinopathy screening programme. A training set of 1067 images was used to develop automated grading algorithms. The final software was tested using a separate set of 14 406 images from 6722 patients. The sensitivity and specificity of manual and automated systems operating as "disease/no disease" graders (detecting poor quality images and any diabetic retinopathy) were determined relative to a clinical reference standard.RESULTS:
The reference standard classified 8.2% of the patients as having ungradeable images (technical failures) and 62.5% as having no retinopathy. Detection of technical failures or any retinopathy was achieved by manual grading with 86.5% sensitivity (95% confidence interval 85.1 to 87.8) and 95.3% specificity (94.6 to 95.9) and by automated grading with 90.5% sensitivity (89.3 to 91.6) and 67.4% specificity (66.0 to 68.8). Manual and automated grading detected 99.1% and 97.9%, respectively, of patients with referable or observable retinopathy/maculopathy. Manual and automated grading detected 95.7% and 99.8%, respectively, of technical failures.CONCLUSION:
Automated "disease/no disease" grading of diabetic retinopathy could safely reduce the burden of grading in diabetic retinopathy screening programmes.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Índice de Gravidade de Doença
/
Retinopatia Diabética
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
/
Guideline
/
Prognostic_studies
/
Screening_studies
Limite:
Aged
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Aged80
/
Female
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Br J Ophthalmol
Ano de publicação:
2007
Tipo de documento:
Article