Normative Databases for Imaging Instrumentation
| Autor: | Murray Fingeret, Ian B. Gaddie, Linda M. Zangwill, Vincent Michael Patella, John G. Flanagan, Tony Realini, Chris A. Johnson, David F. Garway-Heath, Paul H. Artes |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Diagnostic Imaging
Standardization Process (engineering) Computer science media_common.quotation_subject Ophthalmological Clinical Sciences Ethnic Groups computer.software_genre Ophthalmology & Optometry Article Databases perimetry Reference Values Optic Nerve Diseases Ethnicity Humans Quality (business) Instrumentation (computer programming) reproducibility Intraocular Pressure Factual database media_common Data collection Database imaging Glaucoma Diagnostic Techniques Ophthalmology Reference database Normative computer |
| Zdroj: | Journal of glaucoma, vol 24, iss 6 |
| Popis: | Author(s): Realini, Tony; Zangwill, Linda M; Flanagan, John G; Garway-Heath, David; Patella, Vincent M; Johnson, Chris A; Artes, Paul H; Gaddie, Ian B; Fingeret, Murray | Abstract: PurposeTo describe the process by which imaging devices undergo reference database development and regulatory clearance. The limitations and potential improvements of reference (normative) data sets for ophthalmic imaging devices will be discussed.MethodA symposium was held in July 2013 in which a series of speakers discussed issues related to the development of reference databases for imaging devices.ResultsAutomated imaging has become widely accepted and used in glaucoma management. The ability of such instruments to discriminate healthy from glaucomatous optic nerves, and to detect glaucomatous progression over time is limited by the quality of reference databases associated with the available commercial devices. In the absence of standardized rules governing the development of reference databases, each manufacturer's database differs in size, eligibility criteria, and ethnic make-up, among other key features.ConclusionsThe process for development of imaging reference databases may be improved by standardizing eligibility requirements and data collection protocols. Such standardization may also improve the degree to which results may be compared between commercial instruments. |
| Databáze: | OpenAIRE |
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