Interobserver variability studies in diagnostic imaging: a methodological systematic review.
Laura QuinnKonstantinos TryposkiadisJon DeeksHenrica C W De VetSue MallettLidwine B MokkinkYemisi TakwoingiSian Taylor-PhillipsAlice SitchPublished in: The British journal of radiology (2023)
The sample size for both patients and observers was often small without justification.For most studies, observers interpreted static images and did not evaluate the process of acquiring the imaging test, meaning it was not possible to assess many COSMIN risk of bias standards for studies with this design.Most studies reported intraclass correlation coefficient and κ statistics; study conclusions often did not correspond with results.
Keyphrases
- systematic review
- case control
- high resolution
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- deep learning
- machine learning
- photodynamic therapy
- peritoneal dialysis
- optical coherence tomography
- palliative care
- mass spectrometry
- convolutional neural network
- fluorescence imaging
- diffusion weighted imaging