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CT delta-radiomics predicts bladder cancer recurrence after surgery
Radiology AI literature (PubMed)6d ago
A combined delta-radiomics model using unenhanced and arterial-phase CT predicted bladder cancer recurrence with AUCs of 0.86 in both training and validation cohorts (retrospective, single-center). High radiomics scores linked to shorter recurrence-free survival.
- Retrospective study of 316 bladder cancer patients from a single center, with 8:2 internal validation split and repeated stratified random splits.
- Exploratory transcriptomic analysis of an external 33-patient cohort found immune-related pathway enrichment in low-risk radiomic subgroup.
- Retrospective, single-center design without external validation of the prediction model.
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