Imaging vs. Clinical Value Explorer

Predict pathologic tumour size from clinical variables, imaging features, or both, and measure the incremental value with leave-one-out RMSE.

incremental value
radiomics
LOO cross-validation
regression

Leave-one-out RMSE comparison

Model	LOO RMSE (cm)	vs. clinical (%)	n
clinical only	0.912	0.0	80
imaging only	0.544	-40.3	80
clinical + imaging	0.545	-40.2	80

Predicted vs. actual (combined model)

Learning curve

ClinicalImagingCombined

Incremental value must be measured out of sample

Adding imaging features always lowers in-sample residual error; only the leave-one-out RMSE can tell you whether it lowers *prediction* error. Shrink n and the combined model — with the most parameters — is the first to degrade, which is exactly the variance cost of extra predictors in a small cohort.

Preparing the simulation…