- Poster presentation
- Open Access
Difficulties with defining diagnostic accuracy study outcomes
© Banister et al. 2015
- Published: 16 November 2015
- Diagnostic Accuracy
- Secondary Care
- Imaging Artefact
- Automate Classification
Evaluation of diagnostic tests raises unique methodological challenges. Outcomes include measures of test performance compared to a reference standard. When reporting diagnostic test accuracy, other factors to consider include the rate of indeterminate results and missing data . However, there is little guidance on how this should be considered and represented within a diagnostic study.
We conducted a paired study of the diagnostic accuracy of four imaging techniques for glaucoma. Participants were new referrals in UK secondary care. The reference standard was a clinical diagnosis of glaucoma by an experienced ophthalmologist.
Tests gave a glaucoma classification (outside normal limits, borderline, within normal limits) or were classed as indeterminate or missing. Analyses explored the causes of indeterminate results, alternative diagnostic scenarios including indeterminate results and alternative thresholds for the tests and reference standard.
943 participants were included in the analysis. Between 4 and 8% of imaging outputs were classed as indeterminate and this varied amongst imaging techniques. Indeterminate results were further classified into low quality result; no automated classification generated; imaging artefact; patient unable to undertake test.
We used a generalisable systematic approach to considering categorisation and reporting of abnormal, indeterminate and missing test results. The handling of indeterminate results needs careful consideration during study conduct in order to inform decision making.
NIHR HTA programme 09/22/111
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