Data for: "Discrimination of fresh frozen non-tumour and tumour brain tissue using spectrochemical analyses and a classification model"

  • Danielle Bury (Creator)
  • Camilo L.M. Morais (Creator)
  • Francis L. Martin (Creator)
  • Kássio M.G. Lima (Contributor)
  • Katherine M. Ashton (Creator)
  • Matthew J. Baker (Creator)
  • Timothy P. Dawson (Creator)



Introduction: In order for brain tumours to be successfully treated, maximal resection is beneficial. A method to detect infiltrative tumour edges intraoperatively, improving on current methods would be clinically useful. Vibrational spectroscopy offers the potential to provide a handheld, reagent-free method for tumour detection. <b>Purpose:</b> This study was designed to determine the ability of both Raman and Fourier-transform infrared (FTIR) spectroscopy towards differentiating between normal brain tissue, glioma or meningioma. <b>Method:</b> Unfixed brain tissue, which had previously only been frozen, comprising normal, glioma or meningioma tissue was placed onto calcium fluoride slides for analysis using Raman and attenuated total reflection (ATR)-FTIR spectroscopy. Matched haematoxylin and eosin slides were used to confirm tumour areas. Analyses were then conducted to generate a classification model. <b>Results:</b> This study demonstrates the ability of both Raman and ATR-FTIR spectroscopy to discriminate tumour from non-tumour fresh frozen brain tissue with 94% and 97.2% of cases correctly classified, with sensitivities of 98.8% and 100%, respectively. This decreases when spectroscopy is used to determine tumour type. <b>Conclusion:</b> The study demonstrates the ability of both Raman and ATR-FTIR spectroscopy to detect tumour tissue from non-tumour brain tissue with a high degree of accuracy. This demonstrates the ability of spectroscopy when targeted for a cancer diagnosis. However, further improvement would be required for a classification model to determine tumour type using this technology, in order to make this tool clinically viable.

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Date made available16 Mar 2023
Date of data production2019

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