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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology
Editors	Brian J. F. Wong, Peter Rechmann, Daniel Fried, Justus F. Ilgner
Publisher	SPIE
ISBN (Electronic)	9781510640894
DOIs	https://doi.org/10.1117/12.2583791
State	Published - 2021
Externally published	Yes
Event	Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology 2021 - Virtual, Online, United States Duration: 06 03 2021 → 11 03 2021

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	11627
ISSN (Print)	1605-7422

Conference

Conference	Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology 2021
Country/Territory	United States
City	Virtual, Online
Period	06/03/21 → 11/03/21

Bibliographical note

Publisher Copyright:
© 2021 SPIE.

Keywords

Artificial intelligence
Cancer immunotherapy
Head and neck squamous cell carcinoma (HNSCC)
Tumor proportion score

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1117/12.2583791

Cite this

Tseng, P. H., Liao, X. Y., Lin, J. T., Lee, S. L., Lin, M. C., Huang, Y. L., Lou, P. J., & Dong, C. Y. (2021). Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients. In B. J. F. Wong, P. Rechmann, D. Fried, & J. F. Ilgner (Eds.), Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology Article 116270D (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11627). SPIE. https://doi.org/10.1117/12.2583791

Tseng, Po Hang ; Liao, Xin Yu ; Lin, Jing Tang et al. / Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients. Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology. editor / Brian J. F. Wong ; Peter Rechmann ; Daniel Fried ; Justus F. Ilgner. SPIE, 2021. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

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title = "Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients",

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.",

keywords = "Artificial intelligence, Cancer immunotherapy, Head and neck squamous cell carcinoma (HNSCC), Tumor proportion score",

author = "Tseng, \{Po Hang\} and Liao, \{Xin Yu\} and Lin, \{Jing Tang\} and Lee, \{Sheng Lin\} and Lin, \{Mei Chun\} and Huang, \{Yen Lin\} and Lou, \{Pei Jen\} and Dong, \{Chen Yuan\}",

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year = "2021",

doi = "10.1117/12.2583791",

language = "英语",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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Tseng, PH, Liao, XY, Lin, JT, Lee, SL, Lin, MC, Huang, YL, Lou, PJ & Dong, CY 2021, Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients. in BJF Wong, P Rechmann, D Fried & JF Ilgner (eds), Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology., 116270D, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11627, SPIE, Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology 2021, Virtual, Online, United States, 06/03/21. https://doi.org/10.1117/12.2583791

Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients. / Tseng, Po Hang; Liao, Xin Yu; Lin, Jing Tang et al.
Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology. ed. / Brian J. F. Wong; Peter Rechmann; Daniel Fried; Justus F. Ilgner. SPIE, 2021. 116270D (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11627).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients

AU - Tseng, Po Hang

AU - Liao, Xin Yu

AU - Lin, Jing Tang

AU - Lee, Sheng Lin

AU - Lin, Mei Chun

AU - Huang, Yen Lin

AU - Lou, Pei Jen

AU - Dong, Chen Yuan

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Cancer immunotherapy

KW - Head and neck squamous cell carcinoma (HNSCC)

KW - Tumor proportion score

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DO - 10.1117/12.2583791

M3 - 会议稿件

AN - SCOPUS:85108857973

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology

A2 - Wong, Brian J. F.

A2 - Rechmann, Peter

A2 - Fried, Daniel

A2 - Ilgner, Justus F.

PB - SPIE

T2 - Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology 2021

Y2 - 6 March 2021 through 11 March 2021

ER -

Tseng PH, Liao XY, Lin JT, Lee SL, Lin MC, Huang YL et al. Artificial intelligence assisted determination of Tumor Proportion Score (TPS) in HNSCC patients. In Wong BJF, Rechmann P, Fried D, Ilgner JF, editors, Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology. SPIE. 2021. 116270D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2583791

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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