Syer, Tom;
Dikaios, N;
Parry, T;
Brembilla, G;
Brizmohun, M;
Singh, Saurabh;
Heavey, S;
... Punwani, S; + view all
(2023)
The Importance Of Multi-Reader Assessment For External Validation Of Prostate Lesion Classification Models Using Quantitative MpMRI.
In:
Proceedings of the 2023 ISMRM & ISMRT Annual Meeting & Exhibition.
(pp. p. 1657).
ISMRM: Toronto, Canada.
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Abstract
Machine learning for classifying prostate mpMRI lesions may help reduce unnecessary biopsies. However, external validation with multiple scanners and readers is required before the clinical adoption of such models can be considered. Two readers validated a previously published and well-performing logistic regression model on an external cohort. The model performance was not generalisable and offered no advantage to using PSAd cut-offs, and there was marked variation in model score related to contour differences from different readers. This potential variability should be investigated in future models which use quantitative MRI.
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