Cost-effectiveness of an artificial intelligence predictive model for guiding androgen deprivation therapy in intermediate-risk prostate cancer.

The ArteraAI Prostate Test (ArteraAI Inc.) is the first predictive biomarker for the benefit of adding short-term androgen deprivation therapy (ADT) to radiotherapy for intermediate-risk prostate cancer. We evaluated the cost-effectiveness of ArteraAI to guide short-term ADT using a Markov model simulating 15-year outcomes for 71-year-old patients with intermediate-risk prostate cancer receiving radiotherapy using NRG/RTOG 9408 data on which ArteraAI was validated. Three strategies were compared: (1) all patients receive ADT (ADT-for-all), (2) only patients with unfavorable intermediate-risk prostate cancer receive ADT (National Comprehensive Cancer Network [NCCN]), and (3) only ArteraAI-positive patients receive ADT (ArteraAI). Costs and utilities obtained from Medicare claims and published literature were used to calculate incremental cost-effectiveness ratios. A willingness-to-pay threshold of $100 000/quality-adjusted life year (QALY) was chosen. The ADT-for-all strategy was dominated by the NCCN strategy. Compared with the NCCN strategy, the ArteraAI strategy lowered costs by $12 296 and improved effectiveness by 0.01 QALYs making it dominant.