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Early diabetic eye damage: Comparing detection methods using diagnostic power.
Rai, Bhim B; van Kleef, Joshua P; Sabeti, Faran; Vlieger, Robin; Suominen, Hanna; Maddess, Ted.
Afiliação
  • Rai BB; John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia; ANU Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia. Electronic address: bhim.rai@anu.edu.au.
  • van Kleef JP; John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia; ANU Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia.
  • Sabeti F; John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia; School of Optometry, Faculty of Health, 2 University of Canberra, Canberra, ACT, Australia.
  • Vlieger R; ANU School of Computing, Australian National University, Canberra, ACT, Australia.
  • Suominen H; ANU Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia; ANU School of Computing, Australian National University, Canberra, ACT, Australia; University of Turku, Turku, Finland.
  • Maddess T; John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia; ANU Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia.
Surv Ophthalmol ; 69(1): 24-33, 2024.
Article em En | MEDLINE | ID: mdl-37797701
ABSTRACT
It is now clear that retinal neuropathy precedes classical microvascular retinopathy in diabetes. Therefore, tests that underpin useful new endpoints must provide high diagnostic power well before the onset of moderate diabetic retinopathy. Hence, we compare detection methods of early diabetic eye damage. We reviewed data from a range of functional and structural studies of early diabetic eye disease and computed standardized effect size as a measure of diagnostic power, allowing the studies to be compared quantitatively. We then derived minimum performance criteria for tests to provide useful clinical endpoints. This included the criteria that tests should be rapid and easy so that children with type 1 diabetes can be followed into adulthood with the same tests. We also defined attributes that lend test data to further improve performance using Machine/Deep Learning. Data from a new form of objective perimetry suggested that the criteria are achievable.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Retinianas / Diabetes Mellitus / Retinopatia Diabética / Oftalmopatias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Retinianas / Diabetes Mellitus / Retinopatia Diabética / Oftalmopatias Idioma: En Ano de publicação: 2024 Tipo de documento: Article