In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 9 ( 2021-9-16), p. e0257470-
Abstract:
The entity assignment of salivary gland tumors (SGT) based on histomorphology can be challenging. Raman spectroscopy has been applied to analyze differences in the molecular composition of tissues. The aim of this study was to evaluate the suitability of RS for entity assignment in SGT. Methods Raman data were collected in deparaffinized sections of pleomorphic adenomas (PA) and adenoid cystic carcinomas (ACC). Multivariate data and chemometric analysis were completed using the Unscrambler software. Results The Raman spectra detected in ACC samples were mostly assigned to nucleic acids, lipids, and amides. In a principal component-based linear discriminant analysis (LDA) 18 of 20 tumor samples were classified correctly. Conclusion In this proof of concept study, we show that a reliable SGT diagnosis based on LDA algorithm appears possible, despite variations in the entity-specific mean spectra. However, a standardized workflow for tissue sample preparation, measurement setup, and chemometric algorithms is essential to get reliable results.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0257470
DOI:
10.1371/journal.pone.0257470.g001
DOI:
10.1371/journal.pone.0257470.g002
DOI:
10.1371/journal.pone.0257470.g003
DOI:
10.1371/journal.pone.0257470.g004
DOI:
10.1371/journal.pone.0257470.g005
DOI:
10.1371/journal.pone.0257470.t001
DOI:
10.1371/journal.pone.0257470.t002
DOI:
10.1371/journal.pone.0257470.t003
DOI:
10.1371/journal.pone.0257470.t004
DOI:
10.1371/journal.pone.0257470.s001
DOI:
10.1371/journal.pone.0257470.s002
DOI:
10.1371/journal.pone.0257470.s003
DOI:
10.1371/journal.pone.0257470.s004
DOI:
10.1371/journal.pone.0257470.s005
DOI:
10.1371/journal.pone.0257470.r001
DOI:
10.1371/journal.pone.0257470.r002
DOI:
10.1371/journal.pone.0257470.r003
DOI:
10.1371/journal.pone.0257470.r004
DOI:
10.1371/journal.pone.0257470.r005
DOI:
10.1371/journal.pone.0257470.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
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