Detection of squamous cell carcinoma and corresponding biomarkers using optical spectroscopy.

Published

Journal Article

OBJECTIVES: Investigate the use of optical reflectance spectroscopy to differentiate malignant and nonmalignant tissues in head and neck lesions and characterize corresponding oxygen tissue biomarkers that are associated with pathologic diagnosis. STUDY DESIGN: Cross-sectional study. SETTING: Tertiary Veterans Administration Medical Center. SUBJECTS AND METHODS: All patients undergoing panendoscopy with biopsy for suspected head and neck cancer were eligible. Prior to taking tissue samples, the optical probe was placed at 3 locations to collect diffuse reflectance data. These locations were labeled "tumor," "immediately adjacent," and "distant normal tissue." Biopsies were taken of each of these respective sites. The diffuse reflectance spectra were analyzed, and biomarker-specific absorption data were extracted using an inverse Monte Carlo algorithm for malignant and nonmalignant tissues. Histopathological analysis was performed and used as the gold standard to analyze the optical biomarker data. RESULTS: Twenty-one patients with mucosal squamous cell carcinoma of the head and neck were identified and selected to participate in the study. Statistically significant differences in oxygen saturation (P = .001) and oxygenated hemoglobin (P = .019) were identified between malignant and nonmalignant tissues. CONCLUSION: This study established proof of principle that optical spectroscopy can be used in the head and neck areas to detect malignant tissue. Furthermore, tissue biomarkers were correlated with a diagnosis of malignancy.

Full Text

Duke Authors

Cited Authors

  • Beumer, HW; Vishwanath, K; Puscas, L; Afshari, HR; Ramanujam, N; Lee, WT

Published Date

  • March 2011

Published In

Volume / Issue

  • 144 / 3

Start / End Page

  • 390 - 394

PubMed ID

  • 21493201

Pubmed Central ID

  • 21493201

Electronic International Standard Serial Number (EISSN)

  • 1097-6817

Digital Object Identifier (DOI)

  • 10.1177/0194599810394290

Language

  • eng

Conference Location

  • England