Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer

Matsui, Takahiro; Iwasa, Akio; Mimura, Masafumi; Taniguchi, Seiji; Sudo, Takao; Uchida, Yutaka; Kikuta, Junichi; Morizono, Hidetomo; Horii, Rie; Motoyama, Yuichi; Morii, Eiichi; Ohno, Shinji; Kiyota, Yasujiro; Ishii, Masaru

doi:https://doi.org/10.1111/cas.15428

Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer

Matsui, Takahiro; Iwasa, Akio; Mimura, Masafumi et al.

Cancer Science, 2022, 113(8), 2916-2925

アクセス数:97件（2025-03-18 13:21 集計）

固定URL: https://hdl.handle.net/11094/93154

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タイトル	Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer
著者	NRID 1000050747037 1000050747037 ORCID 0000-0002-6753-1688 0000-0002-6753-1688 researchmap permalink takahiromatsui takahiromatsui Scopus Author ID 35176152500 35176152500 著者名 Matsui, Takahiro
	著者名 Iwasa, Akio
	著者名 Mimura, Masafumi
	NRID 1000050836252 1000050836252 著者名 Taniguchi, Seiji
	NRID 1000080631184 1000080631184 researchmap permalink kik kik Scopus Author ID 36497716100 36497716100 著者名 Sudo, Takao
	NRID 1000050833787 1000050833787 researchmap permalink YutakaUchida YutakaUchida Scopus Author ID 56967526600 56967526600 著者名 Uchida, Yutaka
	NRID 1000060710069 1000060710069 researchmap permalink jkikuta jkikuta Scopus Author ID 36637603800 36637603800 著者名 Kikuta, Junichi
	著者名 Morizono, Hidetomo
	NRID 1000020446272 1000020446272 著者名 Horii, Rie
	著者名 Motoyama, Yuichi
	NRID 1000010283772 1000010283772 ORCID 0000-0001-8490-3650 0000-0001-8490-3650 researchmap permalink read0046454 read0046454 Scopus Author ID 7003914326 7003914326 著者名 Morii, Eiichi
	NRID 1000050203881 1000050203881 著者名 Ohno, Shinji
	著者名 Kiyota, Yasujiro
	NRID 1000010324758 1000010324758 researchmap permalink read0076684 read0076684 Scopus Author ID 35074093500 35074093500 著者名 Ishii, Masaru
キーワード等	artificial intelligence
	breast cancer
	multiphoton excitation microscopy
	rapid diagnosis
	surgical margin
内容	This is the pre-peer reviewed version of the following article:Matsui T., Iwasa A., Mimura M., et al. Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer. Cancer Science 113, 2916 (2022), which has been published in final form at https://doi.org/10.1111/cas.15428. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
抄録	Histopathological diagnosis is the ultimate method of attaining the final diagnosis; however, the observation range is limited to the two-dimensional plane, and it requires thin slicing of the tissue, which limits diagnostic information. To seek solutions for these problems, we proposed a novel imaging-based histopathological examination. We used the multiphoton excitation microscopy (MPM) technique to establish a method for visualizing unfixed/unstained human breast tissues. Under near-infrared ray excitation, fresh human breast tissues emitted fluorescent signals with three major peaks, which enabled visualizing the breast tissue morphology without any fixation or dye staining. Our study using human breast tissue samples from 32 patients indicated that experienced pathologists can estimate normal or cancerous lesions using only these MPM images with a kappa coefficient of 1.0. Moreover, we developed an image classification algorithm with artificial intelligence that enabled us to automatically define cancer cells in small areas with a high sensitivity of ≥0.942. Taken together, label-free MPM imaging is a promising method for the real-time automatic diagnosis of breast cancer.
出版者	John Wiley and Sons Inc
収録物名	Cancer Science
巻(号)	113(8)
ページ	2916-2925
刊行年月	2022-08-01
言語	英語
ハンドルURL	https://hdl.handle.net/11094/93154
PISSN	13479032
eISSN	13497006
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1111/cas.15428
アクセス権	open access
権利情報	This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCMI資源タイプ	text
DCTERMS.bibliographicCitation	Cancer Science. 2022, 113(8), p. 2916-2925
DC.title	Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer
DC.creator	Matsui, Takahiro
	Iwasa, Akio
	Mimura, Masafumi
	Taniguchi, Seiji
	Sudo, Takao
	Uchida, Yutaka
	Kikuta, Junichi
	Morizono, Hidetomo
	Horii, Rie
	Motoyama, Yuichi
	Morii, Eiichi
	Ohno, Shinji
	Kiyota, Yasujiro
	Ishii, Masaru
DC.publisher	John Wiley and Sons Inc
DC.language' scheme='DCTERMS.RFC1766	英語
DC.type' scheme='DCTERMS.DCMIType	text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2022-08-01
DC.identifier	https://doi.org/10.1111/cas.15428
DC.subject	artificial intelligence
	breast cancer
	multiphoton excitation microscopy
	rapid diagnosis
	surgical margin
DC.description	This is the pre-peer reviewed version of the following article:Matsui T., Iwasa A., Mimura M., et al. Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer. Cancer Science 113, 2916 (2022), which has been published in final form at https://doi.org/10.1111/cas.15428. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
DCTERMS.abstract	Histopathological diagnosis is the ultimate method of attaining the final diagnosis; however, the observation range is limited to the two-dimensional plane, and it requires thin slicing of the tissue, which limits diagnostic information. To seek solutions for these problems, we proposed a novel imaging-based histopathological examination. We used the multiphoton excitation microscopy (MPM) technique to establish a method for visualizing unfixed/unstained human breast tissues. Under near-infrared ray excitation, fresh human breast tissues emitted fluorescent signals with three major peaks, which enabled visualizing the breast tissue morphology without any fixation or dye staining. Our study using human breast tissue samples from 32 patients indicated that experienced pathologists can estimate normal or cancerous lesions using only these MPM images with a kappa coefficient of 1.0. Moreover, we developed an image classification algorithm with artificial intelligence that enabled us to automatically define cancer cells in small areas with a high sensitivity of ≥0.942. Taken together, label-free MPM imaging is a promising method for the real-time automatic diagnosis of breast cancer.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	93154
citation_title	Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer
citation_author	Matsui, Takahiro
	Iwasa, Akio
	Mimura, Masafumi
	Taniguchi, Seiji
	Sudo, Takao
	Uchida, Yutaka
	Kikuta, Junichi
	Morizono, Hidetomo
	Horii, Rie
	Motoyama, Yuichi
	Morii, Eiichi
	Ohno, Shinji
	Kiyota, Yasujiro
	Ishii, Masaru
citation_publisher	John Wiley and Sons Inc
citation_language	英語
citation_date	2022-08-01
citation_journal_title	Cancer Science
citation_volume	113
citation_issue	8
citation_firstpage	2916
citation_lastpage	2925
citation_doi	https://doi.org/10.1111/cas.15428
citation_public_url	https://hdl.handle.net/11094/93154

Label-free multiphoton excitation imaging as a promising diagnostic tool for breast cancer

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