RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
Optimization of biomarker-based prostate cancer screening policies
Barnett, C. L., & Denton, BT. (2022). Optimization of biomarker-based prostate cancer screening policies. In S. Suen, D. Scheinker, & E. Enns (Eds.), Artificial intelligence for healthcare: Interdisciplinary partnerships for analytics-driven improvements in a post-COVID world (pp. 141-158). CAMBRIDGE UNIV PRESS.
OBJECTIVE: To determine how best to use magnetic resonance imaging (MRI) and targeted MRI/ultrasonography fusion biopsy for early detection of prostate cancer (PCa) in men with elevated prostate‐specific antigen (PSA) concentrations and whether it can be cost‐effective.
METHODS: A Markov model of PCa onset and progression was developed to estimate the health and economic consequences of PCa screening with MRI. Patients underwent PSA screening from ages 55 to 69 years. Patients with elevated PSA concentrations (>4 ng/mL) underwent MRI, followed by targeted fusion or combined (standard + targeted fusion) biopsy on positive MRI, and standard or no biopsy on negative MRI. Prostate Imaging Reporting and Data System (PI‐RADS) score on MRI was used to determine biopsy decisions. Deaths averted, quality‐adjusted life‐years (QALYs), cost and incremental cost‐effectiveness ratio (ICER) were estimated for each strategy.
RESULTS: With a negative MRI, standard biopsy was more expensive and had lower QALYs than performing no biopsy. The optimum screening strategy (ICER $23 483/QALY) recommended combined biopsy for patients with PI‐RADS score ≥3 and no biopsy for patients with PI‐RADS score CONCLUSIONS: Our analysis suggests MRI followed by targeted MRI/ultrasonography fusion biopsy can be a cost‐effective approach to the early detection of PCa.