A decade of radiomics research: are images really data or just patterns in the noise?
Daniel Pinto dos Santos, Matthias Dietzel, Bettina Baeßler
Abstract
KEY POINTS: • Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis.• There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical practice.• Going forward, more studies with higher levels of evidence are needed, ideally also focusing on prospective studies with relevant clinical impact.
Topics & Concepts
RadiomicsMedicineNeuroradiologyClinical PracticeMedical physicsInterventional radiologyNoise (video)Data scienceTranslation (biology)RadiologyArtificial intelligenceImage (mathematics)Computer scienceMessenger RNAFamily medicineGenePsychiatryNeurologyBiochemistryChemistryRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisAI in cancer detection