https://scholars.lib.ntu.edu.tw/handle/123456789/606469
標題: | Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients | 作者: | Tseng, Po-Hang Liao, Xin-Yu Lin, Jing-Tang Lee, Sheng-Lin MEI-CHUN LIN YEN-LIN HUANG PEI-JEN LOU CHEN-YUAN DONG |
關鍵字: | Artificial intelligence; Cancer immunotherapy; Head and neck squamous cell carcinoma (HNSCC); Tumor proportion score; Dentistry; Diagnosis; Surgery; Tumors; Cancer cells; Clinical settings; Head-and-neck squamous cell carcinoma; Histological section; Manual fashion; Tumor cells; Artificial intelligence | 公開日期: | 2021 | 卷: | 11627 | 來源出版物: | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | 摘要: | 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. ? 2021 SPIE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108857973&doi=10.1117%2f12.2583791&partnerID=40&md5=4a3c358f0ab6954e852c3eb5c2bc2567 https://scholars.lib.ntu.edu.tw/handle/123456789/606469 |
ISSN: | 16057422 | DOI: | 10.1117/12.2583791 |
顯示於: | 物理學系 |
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