Multispectral label-free Raman spectroscopy can detect ovarian and endometrial cancer with high accuracy.
Raman spectroscopy
fluorescence
machine-learning
oncology
ovarian cancer
signal processing
surgery
tissue optics
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
02 2022
02 2022
Historique:
revised:
05
11
2021
received:
01
07
2021
accepted:
23
11
2021
pubmed:
28
11
2021
medline:
5
3
2022
entrez:
27
11
2021
Statut:
ppublish
Résumé
Up to 70% of ovarian cancer patients are diagnosed with advanced-stage disease and the degree of cytoreduction is an important survival prognostic factor. The aim of this study was to evaluate if Raman spectroscopy could detect cancer from different organs within the abdominopelvic region, including the ovaries. A Raman spectroscopy probe was used to interrogate specimens from a cohort of nine patients undergoing cytoreductive surgery, including four ovarian cancer patients and three patients with endometrial cancer. A feature-selection algorithm was developed to determine which spectral bands contributed to cancer detection and a machine-learning model was trained. The model could detect cancer using only eight spectral bands. The receiver-operating-characteristic curve had an area-under-the-curve of 0.96, corresponding to an accuracy, a sensitivity and a specificity of 90%, 93% and 88%, respectively. These results provide evidence multispectral Raman spectroscopy could be developed to detect ovarian cancer intraoperatively.
Identifiants
pubmed: 34837331
doi: 10.1002/jbio.202100198
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202100198Subventions
Organisme : CIHR
Pays : Canada
Informations de copyright
© 2021 Wiley-VCH GmbH.
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