Raman spectroscopy for assessment of bone resection margins in mandibulectomy for oral cavity squamous cell carcinoma. (March 2018)

• Record Type: Journal Article
• Authors: Barroso, Elisa M.; ten Hove, Ivo; Bakker Schut, Tom C.; Mast, Hetty; van Lanschot, Cornelia G.F.; Smits, Roeland W.H.; Caspers, Peter J.; Verdijk, Rob; Noordhoek Hegt, Vincent; Baatenburg de Jong, Robert J.; Wolvius, Eppo B.; Puppels, Gerwin J.; Koljenović, Senada
• Is Part Of: European journal of cancer. Volume 92(2018)
• Page Start: 77
• Page End: 87
• Publication Date: 2018-03
• Subjects: Oral cancer surgery -- Adequate resection margins -- Intra-operative assessment -- Mandible -- Surgical oncology; Cancer -- Periodicals; Neoplasms -- Periodicals; Cancer -- Périodiques; Cancer; Tumors; Electronic journals; Periodicals; Electronic journals; 616.994
• DOI: 10.1016/j.ejca.2018.01.068
• Languages: English
• ISSNs: 0959-8049

Abstract

Abstract: Objectives: The aim of this study was to investigate the potential of Raman spectroscopy for detection of oral cavity squamous cell carcinoma (OCSCC) in bone resection surfaces during mandibulectomy. Materials & methods: Raman mapping experiments were performed on fresh mandible resection specimens from patients treated with mandibulectomy for OCSCC. A tumour detection algorithm was created based on water concentration and the high-wavenumber range (2800 cm −1 –3050 cm −1 ) of the Raman spectra. Results: Twenty-six ex vivo Raman mapping experiments were performed on 26 fresh mandible resection specimens obtained from 22 patients. The algorithm was applied on an independent test set and showed an accuracy of 95%, a sensitivity of 95%, and a specificity of 87%. Conclusion: These results form the basis for further development of a Raman spectroscopy tool as an objective method for intraoperative assessment of bone resection margins. Highlights: Raman spectroscopy detects oral cavity squamous cell carcinoma in mandible specimen. Raman spectroscopy can be used intra-operatively to screen bone resection margins. An algorithm for detection of OCSCC in bone resection surfaces is developed. The algorithm showed an accuracy of 95% when tested on an independent data set. The study demonstrates the potential of Raman spectroscopy for surgical guidance.