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Differentiation of salivary gland and salivary gland tumor tissue via Raman imaging combined with multivariate data analysis

  • Salivary gland tumors (SGTs) are a relevant, highly diverse subgroup of head and neck tumors whose entity determination can be difficult. Confocal Raman imaging in combination with multivariate data analysis may possibly support their correct classification. For the analysis of the translational potential of Raman imaging in SGT determination, a multi-stage evaluation process is necessary. By measuring a sample set of Warthin tumor, pleomorphic adenoma and non-tumor salivary gland tissue, Raman data were obtained and a thorough Raman band analysis was performed. This evaluation revealed highly overlapping Raman patterns with only minor spectral differences. Consequently, a principal component analysis (PCA) was calculated and further combined with a discriminant analysis (DA) to enable the best possible distinction. The PCA-DA model was characterized by accuracy, sensitivity, selectivity and precision values above 90% and validated by predicting model-unknown Raman spectra, of which 93% were classified correctly. Thus, we state our PCA-DA to be suitable for parotid tumor and non-salivary salivary gland tissue discrimination and prediction. For evaluation of the translational potential, further validation steps are necessary.

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Author of HS ReutlingenBassler, Miriam; Knoblich, Mona; Mukherjee, Ashutosh; Ostertag, Edwin; Brecht, Marc
Erschienen in:Diagnostics
Place of publication:Basel
Document Type:Journal article
Publication year:2024
Tag:confocal Raman imaging; discriminant analysis; molecular diagnostics; multivariate data analysis; principal component analysis; salivary gland tumor
Page Number:16
Article Number:92
DDC classes:610 Medizin, Gesundheit
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International