Ontology highlight
ABSTRACT: Objective
To develop a model and methodology for predicting the risk of Gleason upgrading in patients with prostate cancer on active surveillance (AS) and using the predicted risks to create risk-based personalised biopsy schedules as an alternative to one-size-fits-all schedules (e.g. annually). Furthermore, to assist patients and doctors in making shared decisions on biopsy schedules, by providing them quantitative estimates of the burden and benefit of opting for personalised vs any other schedule in AS. Lastly, to externally validate our model and implement it along with personalised schedules in a ready to use web-application.Patients and methods
Repeat prostate-specific antigen (PSA) measurements, timing and results of previous biopsies, and age at baseline from the w
SUBMITTER: Tomer A
PROVIDER: S-EPMC7818468 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature