Raman Spectroscopy for Inverted Papilloma: A Proof‐of‐Concept Study

Abstract

Inverted papillomas are tumors of the sinonasal tract with a propensity to recur. Raman spectroscopy can potentially identify inverted papillomas from other tissue based on biochemical signatures. A pilot study comparing Raman spectroscopy to histopathology for 3 types of sinonasal tissue was performed. Spectral data of biopsies from patients with normal sinonasal mucosa, chronic rhinosinusitis, and inverted papillomas are compared to histopathology using principal component analysis and linear discriminant analysis after data preprocessing. A total of 18 normal, 15 chronic rhinosinusitis, and 18 inverted papilloma specimens were evaluated. The model distinguished normal sinonasal mucosa, chronic rhinosinusitis, and inverted papilloma tissue with an overall accuracy of 90.2% (95% confidence interval, 0.86-0.94). In conclusion, Raman spectroscopy can distinguish inverted papilloma, normal sinonasal mucosa, and chronically rhinosinusitis tissue with acceptable accuracy.

Fluorescence grid analysis for the evaluation of piecemeal surgery in sinonasal inverted papilloma: a proof-of-concept study

“…Other studies that address the clinical problem of incomplete resection of SNIP have also reported the use of alternative imaging techniques to discriminate between SNIP and uninvolved tissue [ 29 , 30 ]. Yet, these imaging methods are mainly limited to morphological information and therefore lack specificity to distinguish SNIP from surrounding inflammatory tissue.…”

“…Consequently, some of the tissue fragments contain normal tissue as well as SNIP or separately and not en bloc as seen in complete surgical resections. To better study the fluorescence signal within all tissue fragments, a grid of 25 × 25 pixels was used as an overlay for fluorescence images that have been obtained with the Odyssey CLX® flatbed scanner [ 30 ]. Each square was scored as either SNIP or uninvolved tissue based on the assessment of the pathologist (BvdV).…”