ジャーナル論文 Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array
Yusuke Saeki (author) (この著者で検索)
;
Naoki Maki (author) (この著者で検索)
;
Takahiro Nemoto (author) (この著者で検索)
National Institute for Materials Science
;
Katsushige Inada (author) (この著者で検索)
;
Kosuke Minami (author) (この著者で検索)
ORCID SAMURAI ;
Ryo Tamura (author) (この著者で検索)
ORCID SAMURAI ;
Gaku Imamura (author) (この著者で検索)
ORCID SAMURAI ;
Yukiko Cho-Isoda (author) (この著者で検索)
;
Shinsuke Kitazawa (author) (この著者で検索)
;
Hiroshi Kojima (author) (この著者で検索)
;
Genki Yoshikawa (author) (この著者で検索)
ORCID SAMURAI ;
Yukio Sato (author) (この著者で検索)
コレクション

引用
Yusuke Saeki, Naoki Maki, Takahiro Nemoto, Katsushige Inada, Kosuke Minami, Ryo Tamura, Gaku Imamura, Yukiko Cho-Isoda, Shinsuke Kitazawa, Hiroshi Kojima, Genki Yoshikawa, Yukio Sato. Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array. Lung Cancer. 2024, 190 (), 107514. https://doi.org/10.1016/j.lungcan.2024.107514
SAMURAI

説明:

(abstract)

Breath analysis using a chemical sensor array combined with machine learning algorithms may be applicable for detecting and screening lung cancer. In this study, we examined whether perioperative breath analysis can predict the presence of lung cancer using a Membrane-type Surface stress Sensor (MSS) array and machine learning.

権利情報:

キーワード: Lung cancer, Breath analysis, Electronic nose (e-nose), Membrane-type Surface stress Sensor (MSS), Machine learning

刊行年月日: 2024-02-25

出版者: Elsevier BV

掲載誌:

  • Lung Cancer (ISSN: 01695002) vol. 190 107514

研究助成金:

  • Government of Japan Ministry of Education Culture Sports Science and Technology
  • Japan Cabinet Office

原稿種別: 著者最終稿 (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.5227

公開URL: https://doi.org/10.1016/j.lungcan.2024.107514

関連資料:

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更新時刻: 2025-02-25 12:30:08 +0900

MDRでの公開時刻: 2025-02-25 12:30:09 +0900

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