Near‐infrared Raman spectroscopy for the classification of epithelial pre‐cancers and cancers

TLDR

Oesophageal epithelium can develop both squamous and columnar cell carcinomas, and the progression from normal to diseased states is believed to be a continuum without clear biochemical boundaries, complicating histological distinction of pre‑cancerous states. This study investigated whether near‑infrared Raman spectroscopy could differentiate normal from abnormal epithelial tissues. Researchers measured six clinically relevant epithelial tissues, constructed spectral diagnostic models using multivariate statistical analysis, and applied rigorous histopathological protocols while excluding mixed‑pathology samples. Principal‑component linear‑discriminant models achieved excellent group separation with cross‑validation, yielding sensitivities of 73–100% and specificities of 92–100% across larynx, bladder, and oesophageal samples. © 2002 John Wiley & Sons, Ltd.

Abstract

Abstract The use of near‐infrared Raman spectroscopy to interrogate epithelial tissue biochemistry and hence distinguish between normal and abnormal tissues was investigated. Six different epithelial tissues from the larynx, tonsil, oesophagus, stomach, bladder and prostate were measured. Spectral diagnostic models were constructed using multivariate statistical analysis of the spectra to classify samples of epithelial cancers and pre‐cancers. Tissues were selected for clinical significance and to include those which develop into carcinoma from squamous, transitional or columnar epithelial cells. Rigorous histopathological protocols were followed and mixed pathology tissue samples were discarded from the study. Principal component fed linear discriminant models demonstrated excellent group separation, when tested by cross‐validation. Larynx samples, with squamous epithelial tissue, were separated into three distinct groups with sensitivities ranging from 86 to 90% and specificities from 87 to 95%. Bladder specimens, containing transitional epithelial tissue, were separated into five distinct groups with sensitivities of between 78 and 98% and specificities between 96 and 99%. Oesophagus tissue can contain both squamous and columnar cell carcinomas. A three group model discriminated the columnar cell pathological groups with sensitivities of 84–97% and specificities of 93–99%, and an eight group model combining both columnar and squamous tissues in the oesophagus was able to discriminate pathologies with sensitivities of 73–100% and specificities of 92–100%. It is likely that any overlap between pathology group predictions will have been due to a combination of the difficulty in histologically distinguishing between pre‐cancerous states and the fact that there is no biochemical boundary from one pathological group to the next, i.e. there is believed to be a continuum of progression from the normal to the diseased state. Copyright © 2002 John Wiley & Sons, Ltd.