Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study.
Casper ReijnenEvangelia GogouNicole C M VisserHilde EngerudJordache RamjithLouis J M van der PuttenKoen K van de VijverMaria SantacanaPeter BronsertJohan BultenMarc HirschfeldEva ColasAntonio Gil-MorenoArmando RequesGemma ManceboCamilla KrakstadJone TrovikIngfrid S HaldorsenJutta HuvilaMartin KoskasVit WeinbergerMarketa BednarikovaJitka HausnerovaAnneke A M van der WurffXavier Matias-GuiuFrédéric Amantnull nullLeon F A G MassugerMarc P L M SnijdersHeidi V N Küsters-VandeveldePeter J F LucasJohanna M A PijnenborgPublished in: PLoS medicine (2020)
In this study, we illustrated how BNs can be used for individualizing clinical decision-making in oncology by incorporating easily accessible and multimodal biomarkers. The network shows the complex interactions underlying the carcinogenetic process of endometrial cancer by its graphical representation. A prospective feasibility study will be needed prior to implementation in the clinic.