# Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array

https://mdr.nims.go.jp/datasets/539e66a4-4185-412f-9d20-3344295b8113

## Files

- [Manuscript R1(clean).docx](https://mdr.nims.go.jp/filesets/eb889eb9-cb01-4564-a8d9-91212776c9cb/download) ([Detail](https://mdr.nims.go.jp/filesets/eb889eb9-cb01-4564-a8d9-91212776c9cb.md))

## Id

539e66a4-4185-412f-9d20-3344295b8113

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-12-25T08:07:58.606686Z

## Updated at

2025-02-25T03:30:08.706565Z

## Published at

2025-02-25T03:30:09.868779Z

## Doi

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

## First published url

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

## Date published

2024-02-25

## Recorded date published

2024-4

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Lung cancer detection in perioperative patients' exhaled breath with nanomechanical
    sensor array
  title_type: original
  lang: en

## Description

- description: 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.
  description_type: abstract
  lang: und

## Creator

- name: Yusuke Saeki
  role: author
- name: Naoki Maki
  role: author
- name: Takahiro Nemoto
  role: author
  organization: National Institute for Materials Science
- name: Katsushige Inada
  role: author
- name: Kosuke Minami
  role: author
  orcid: https://orcid.org/0000-0003-4145-1118
  organization: National Institute for Materials Science
- name: Ryo Tamura
  role: author
  orcid: https://orcid.org/0000-0002-0349-358X
  organization: National Institute for Materials Science
- name: Gaku Imamura
  role: author
  orcid: https://orcid.org/0000-0002-3130-7190
  organization: National Institute for Materials Science
- name: Yukiko Cho-Isoda
  role: author
- name: Shinsuke Kitazawa
  role: author
- name: Hiroshi Kojima
  role: author
- name: Genki Yoshikawa
  role: author
  orcid: https://orcid.org/0000-0002-9136-8964
  organization: National Institute for Materials Science
- name: Yukio Sato
  role: author

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Lung cancer
  schema: not_defined
- subject: Breath analysis
  schema: not_defined
- subject: Electronic nose (e-nose)
  schema: not_defined
- subject: Membrane-type Surface stress Sensor (MSS)
  schema: not_defined
- subject: Machine learning
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc-nd/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2024-02-25
end_date: 2025-02-25

## Journal

- title: Lung Cancer
  issn: '01695002'
  volume: '190'
  article_number: '107514'

## Conference



## Related item



## Funding

- funder_name: Government of Japan Ministry of Education Culture Sports Science and
    Technology
- funder_name: Japan Cabinet Office

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: eb889eb9-cb01-4564-a8d9-91212776c9cb
  filename: Manuscript R1(clean).docx
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 61753
  md5: 2becaff4c9d6b18d309e0eb37a11e49e

## Thumbnail

fileset_id: eb889eb9-cb01-4564-a8d9-91212776c9cb
filename: Manuscript R1(clean).docx