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Artificial Intelligence-based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?

European urology focus - 1 Mar 2022

Loeffler Chiara Maria Lavinia, Ortiz Bruechle Nadina, Jung Max, Seillier Lancelot, Rose Michael, Laleh Narmin Ghaffari, Knuechel Ruth, Brinker Titus J, Trautwein Christian, Gaisa Nadine T, Kather Jakob N

Abstract excerpt

BACKGROUND: Fibroblast growth factor receptor (FGFR) inhibitor treatment has become the first clinically approved targeted therapy in bladder cancer. However, it requires previous molecular testing of each patient, which is costly and not ubiquitously available. OBJECTIVE: To determine whether an artificial intelligence system is able to predict mutations of the FGFR3 gene directly from routine histology slides...

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PMID: 33895087
DOI: 10.1016/j.euf.2021.04.007

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