首页|Bordeaux University Hospital Reports Findings in Kidney Cancer [UroPredict:Machine learning model on real-world data for prediction of kidney c ancer recurrence (UroCCR-120)]
Bordeaux University Hospital Reports Findings in Kidney Cancer [UroPredict:Machine learning model on real-world data for prediction of kidney c ancer recurrence (UroCCR-120)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Kidney Canc er is the subject of a report.According to news reporting originating from Bord eaux,France,by NewsRx correspondents,research stated,"Renal cell carcinoma ( RCC) is most often diagnosed at a localized stage,where surgery is the standard of care.Existing prognostic scores provide moderate predictive performance,le ading to challenges in establishing follow-up recommendations after surgery and in selecting patients who could benefit from adjuvant therapy." Our news editors obtained a quote from the research from Bordeaux University Hos pital,"In this study,we developed a model for individual postoperative disease -free survival (DFS) prediction using machine learning (ML) on real-world prospe ctive data.Using the French kidney cancer research network database,UroCCR,we analyzed a cohort of surgically treated RCC patients.Participating sites were randomly assigned to either the training or testing cohort,and several ML model s were trained on the training dataset.The predictive performance of the best M L model was then evaluated on the test dataset and compared with the usual risk scores.In total,3372 patients were included,with a median follow-up of 30 mon ths.The best results in predicting DFS were achieved using Cox PH models that i ncluded 24 variables,resulting in an iAUC of 0.81 [IC95% 0.77-0.85].The ML model surpassed the predictive performance of the most commonly used risk scores while handling incomplete data in predict ors.Lastly,patients were stratified into four prognostic groups with good disc rimination (iAUC = 0.79 [IC95% 0.74-0.83] )." According to the news editors,the research concluded:"Our study suggests that applying ML to realworld prospective data from patients undergoing surgery for localized or locally advanced RCC can provide accurate individual DFS prediction,outperforming traditional prognostic scores."
BordeauxFranceEuropeCancerCyborg sEmerging TechnologiesHealth and MedicineKidney CancerMachine LearningOncologySurgery
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