Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence-Based Model.
Dimitris BertsimasGeorgios Antonios MargonisYifei HuangNikolaos AndreatosHolly M WibergYu MaCaitlin McintyreAlessandra PulvirentiDoris WagnerJacob L van DamFrancesca GavazziStefan BuettnerKatsunori ImaiGeorgios StasinosJin HeCarsten KamphuesKatharina BeyerHendrik SeeligerMatthew J WeissMartin KreisJohn L CameronAlice C WeiPeter KornpratHideo BabaBas Groot KoerkampAlessandro ZerbiMichael D'AngelicaChristopher L WolfgangPublished in: JCO clinical cancer informatics (2022)
Our findings highlight the superiority of LNR and the importance of interactions between tumor size and nodal status. These results and the potential of the OCT methodology to combine them into a powerful, visually interpretable model can help inform future staging systems.