Scoring PD-L1 Expression in Urothelial Carcinoma: An International Multi-Institutional Study on Comparison of Manual and Artificial Intelligence Measurement Model (AIM-PD-L1) Pathology Assessments

Josef Rüschoff, George Kumar,Sunil Badve, Bharat Jasani, Emma Krause,Nathalie Rioux-Leclercq,Federico Rojo, Maurizio Martini, Liang Cheng,Maria Tretiakova, Catherine Mitchell,Robert A. Anders, Marie E. Robert,Darren Fahy, Mike Pyle, Quang Le,Limin Yu, Benjamin Glass,Vipul Baxi, Zulfia Babadjanova, James Pratt, Sergine Brutus,Maria Karasarides,Arndt Hartmann

Virchows Archiv(2024)

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摘要
Assessing programmed death ligand 1 (PD-L1) expression on tumor cells (TCs) using Food and Drug Administration-approved, validated immunoassays can guide the use of immune checkpoint inhibitor (ICI) therapy in cancer treatment. However, substantial interobserver variability has been reported using these immunoassays. Artificial intelligence (AI) has the potential to accurately measure biomarker expression in tissue samples, but its reliability and comparability to standard manual scoring remain to be evaluated. This multinational study sought to compare the
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关键词
Bladder cancer,Pathology,PD-L1,Artificial intelligence
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