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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
  • National Taiwan University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

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.

原文英語
主出版物標題Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology
編輯Brian J. F. Wong, Peter Rechmann, Daniel Fried, Justus F. Ilgner
發行者SPIE
ISBN(電子)9781510640894
DOIs
出版狀態已出版 - 2021
對外發佈是
事件Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology 2021 - Virtual, Online, 美國
持續時間: 06 03 2021 → 11 03 2021

出版系列

名字Progress in Biomedical Optics and Imaging - Proceedings of SPIE
卷11627
ISSN(列印)1605-7422

Conference

ConferencePhotonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology 2021
國家/地區美國
城市Virtual, Online
期間06/03/21 → 11/03/21

文獻附註

Publisher Copyright:
© 2021 SPIE.

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