Assessment of a Noninvasive Exhaled Breath Test for the Diagnosis of Oesophagogastric Cancer
- Submitting institution
-
The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12023
- Type
- D - Journal article
- DOI
-
10.1001/jamaoncol.2018.0991
- Title of journal
- JAMA Oncology
- Article number
- -
- First page
- 970
- Volume
- 4
- Issue
- 7
- ISSN
- 2374-2437
- Open access status
- Technical exception
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
10
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Our statistical analysis and the adapted QMI algorithm for diagnostic inference are a key feature. The algorithm aim is to empower clinicians in diagnosing cancer on the basis of breath analysis and it is a part of the development of a non-invasive breath test for OG cancer. The study helped to secure renewed funding for NIHR - London in vitro Diagnostic Cooperative. The proposed breath analysis technology implemented in a point of care device could triage patients for endoscopy (expensive and invasive test), with significant economic and human impact by reducing unnecessary endoscopies and by early detection of the cancer.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -