Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients

Po-Hang Tseng; Xin-Yu Liao; Jing-Tang Lin; Sheng-Lin Lee; Mei-Chun Lin; Yen-Lin Huang; Pei-Jen Lou; Chen-Yuan Dong

doi:10.1117/12.2583791

23 March 2021 Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients

Po-Hang Tseng, Xin-Yu Liao, Jing-Tang Lin, Sheng-Lin Lee, Mei-Chun Lin, Yen-Lin Huang, Pei-Jen Lou, Chen-Yuan Dong

Proceedings Volume 11627, Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology; 116270D (2021) https://doi.org/10.1117/12.2583791
Event: SPIE BiOS, 2021, Online Only

Abstract

At the present, identifying head and neck squamous cell carcinoma (HNSCC) patients for immune checkpoint inhibitor therapy (ICIT) is achieved through the determination of Tumor Proportion Score (TPS) or the percentage of tumor cells positively labeled for PD-L1. Estimation of TPS is largely done in a manual fashion by a trained pathologist. In the case of HNSCC, the histological section can be over 1 cm in size in which over 100,000 cancer cells need to be evaluated for PD-L1 expression. To expedite the TPS evaluation process for such large specimens, we have developed a platform in which artificial intelligence (AI) is used for TPS determination. With additional development, this approach may be used in the clinical setting to assist pathologists in TPS evaluation.

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Po-Hang Tseng, Xin-Yu Liao, Jing-Tang Lin, Sheng-Lin Lee, Mei-Chun Lin, Yen-Lin Huang, Pei-Jen Lou, and Chen-Yuan Dong "Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients", Proc. SPIE 11627, Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology, 116270D (23 March 2021); https://doi.org/10.1117/12.2583791

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