Keywords: Radiomics, Radiomics, Prostate, PSA
Motivation: In enlarged prostates, attributing increased PSA levels solely to benign hyperplasia is difficult, even with reassuring imaging features. This results in diagnostic ambiguity when PSA is elevated.
Goal(s): Create a radiomic signature for accurate PSA level prediction using only imaging characteristics
Approach: T2-weighted prostate images from 100 patients with PIRADS ≤2 were segmented into transitional and peripheral zones using 3D Slicer. Radiomic analysis of transitional zone segments identified MRI features associated with serum PSA.
Results: Principal component analysis identified one age-adjusted, independent predictor of PSA levels among seventeen radiomic features. This signature had a significant association with PSA (b=1.651, 95% CI: 1.07-2.24, p<0.001).
Impact: The predictive value of our component will allow physicians to identify PSA levels which are not representative of their imaging characteristics which may better inform the need for further investigation
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