Method development: Raman spectroscopy-based histopathology of oral mucosa
An earlier and more accurate detection of (small) cancerous and precancerous lesions in the oral cavity is essential to improve the prognosis of oral squamous cell carcinomas. Raman spectroscopy is being pursued as a potential method to realize this improvement, since the technique provides objectiv...
Uloženo v:
| Vydáno v: | Journal of Raman spectroscopy Ročník 44; číslo 7; s. 963 - 972 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Bognor Regis
Blackwell Publishing Ltd
01.07.2013
Wiley Subscription Services, Inc |
| Témata: | |
| ISSN: | 0377-0486, 1097-4555 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | An earlier and more accurate detection of (small) cancerous and precancerous lesions in the oral cavity is essential to improve the prognosis of oral squamous cell carcinomas. Raman spectroscopy is being pursued as a potential method to realize this improvement, since the technique provides objective information on a biochemical level and can be used for real‐time guidance of the diagnostic procedure.
Since oral mucosal tissue is inhomogeneous and comprises different layers and histological structures, a good understanding of the signal contributions of the individual layers and structures is required for an accurate interpretation of in vivo tissue spectra measurement volumes. The aim of this study was to create a standardized method to collect and analyse the spectral contributions of individual histopathological structures in oral mucosa.
The method is based on Raman microspectroscopic mapping of unstained frozen tissue sections and subsequent histopathological annotation of the features in the resulting Raman images. The obtained annotated reference spectra were used as input in an unsupervised hierarchical cluster analysis in order to determine the spectral characteristics and variance within one histo(patho)logical structure.
The described method resulted in an annotated database of Raman spectral characteristics of individual histopathological structures encountered in oral tissue. This database can be used as input for the development of classification and quantification algorithms, in order to achieve a high specificity and sensitivity for clinical diagnostic instruments. Additionally, this database can be used to optimize the exact location and measurement volume of in vivo measurements. Copyright © 2013 John Wiley & Sons, Ltd.
The described method is based on Raman microspectroscopic mapping of unstained frozen tissue sections and subsequent histopathological annotation of the features in the resulting pseudocolor Raman images. The obtained annotated reference spectra were used as input in an HCA in order to determine the spectral characteristics and variance of individual histo(patho)logical structures in oral mucosa. This information can be used for the development of classification and quantification algorithms, in order to improve specificity and sensitivity of clinical diagnostic instruments. |
|---|---|
| Bibliografie: | ArticleID:JRS4318 ark:/67375/WNG-1H1P67DQ-6 istex:DF5D214AD5C9C6DB44A07FE875B6ED1B44F6E4C3 ObjectType-Article-1 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0377-0486 1097-4555 |
| DOI: | 10.1002/jrs.4318 |