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Discrimination of fresh frozen non-tumour and tumour brain tissue using spectrochemical analyses and a classification model.
Bury, Danielle; Morais, Camilo L M; Martin, Francis L; Lima, Kássio M G; Ashton, Katherine M; Baker, Matthew J; Dawson, Timothy P.
Afiliación
  • Bury D; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
  • Morais CLM; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
  • Martin FL; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
  • Lima KMG; Biological Chemistry and Chemometrics, Institute of Chemistry, Federal University of Rio Grande do Norte, Natal, Brazil.
  • Ashton KM; Department of Neuropathology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK.
  • Baker MJ; WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, UK.
  • Dawson TP; Department of Neuropathology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK.
Br J Neurosurg ; 34(1): 40-45, 2020 Feb.
Article en En | MEDLINE | ID: mdl-31642351
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.Purpose: 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.Method: 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.Results: 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.Conclusion: 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Procedimientos Neuroquirúrgicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Br J Neurosurg Asunto de la revista: NEUROCIRURGIA Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Procedimientos Neuroquirúrgicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Br J Neurosurg Asunto de la revista: NEUROCIRURGIA Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido