Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection.
Martin J WilleminkDomenico MastrodicasaMohammad H MadaniMarina CodariLeonid L ChepelevGabriel MistelbauerKate HannemanMaral OuzounianDaniel OcazionezRana O AfifiJoan M LacomisLuigi LovatoDavide PaciniGianluca FolesaniRicarda HinzpeterHatem AlkadhiArthur E StillmanAnna M SailerValery L TurnerVirginia HinostrozaKathrin BäumlerAnne S ChinNicholas S BurrisD Craig MillerMichael P FischbeinDominik FleischmannPublished in: European radiology (2022)
• Clinical fashion manual measurements of aortic CTA imaging features showed poor inter-observer reproducibility. • A standardized workflow with standardized training resulted in substantial improvements with excellent inter-observer reproducibility. • Robust ground truth labels obtained manually with excellent inter-observer reproducibility are key to develop reliable machine learning models.