Overview
Radiomics extracts quantitative image features to predict biology and outcomes. Reproducibility requires harmonized acquisition segmentation and feature definitions. External validation and prospective trials are needed for clinical adoption.
Workflow
Standardize acquisition and use phantoms for cross site calibration. Automate segmentation and feature extraction with audit trails. Integrate biomarkers into trial endpoints and clinical decision support.
Challenges
Variability across vendors and protocols limits generalizability and requires harmonization. Regulatory qualification demands analytical and clinical validation. Data sharing and federated learning can mitigate privacy barriers.
Clinical Use
Applications include response prediction in oncology and tissue characterization in other specialties. Combined multiomic models may enhance predictive power. Prospective studies will determine clinical utility and cost effectiveness.