Development and validation of Raman spectroscopic classification models to discriminate tongue squamous cell carcinoma from non-tumorous tissue

Article ID	Journal	Published Year	Pages	File Type
6054578	Oral Oncology	2016	7 Pages	PDF

Abstract

An accurate PCA-hLDA Raman spectroscopy-based tissue classification model for discrimination between OCSCC and (especially the subepithelial) non-tumorous tongue tissue was developed and validated. This model with high sensitivity and specificity may prove to be very helpful to detect tumor in the resection margins.

Keywords

OCSCC Intra-operative assessment ROC AUC H&E PCA Principal components Connective tissue Principal components analysis Linear discriminant analysis LDA PCs Oral cancer Raman spectroscopy area under the ROC curve haematoxylin and eosin receiver operator characteristic Oral cavity squamous cell carcinoma

Related Topics

Health Sciences Medicine and Dentistry Dentistry, Oral Surgery and Medicine

Preview

Development and validation of Raman spectroscopic classification models to discriminate tongue squamous cell carcinoma from non-tumorous tissue

Authors

Froukje L.J. Cals, Senada KoljenoviÄ, José A. Hardillo, Robert J. Baatenburg de Jong, Tom C. Bakker Schut, Gerwin J. Puppels,