Determination of meningioma brain tumour grades using Raman microspectroscopy imaging

Morais, Camilo L. M.; Lilo, Taha; Ashton, Katherine M.; Davis, Charles H.; Dawson, Timothy; Gurusinghe, Nihal; Martin, Francis

doi:10.1039/c9an01551e

Cited by 25 publications

(17 citation statements)

References 38 publications

(40 reference statements)

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“…Finally, grade II and grade I recurrence were discriminated based on their spectrochemical profile with an accuracy of 97% (97% sensitivity and 100% specificity) and the main spectral markers associated with recurrence (Table 6) were proteins (Amide I, Amide II and Amide III), carbohydrates (v(C-O)) and DNA/RNA alterations (NH 2 adenine, v as (PO 2 − )), therefore indicating that these tumour types are very different. An important advantage of using ATR-FTIR spectroscopy is that due to its non-destructive nature [34], the same tissue section could theoretically be used for conventional histological analysis or other complementary techniques such as Raman microspectroscopy [35]. Moreover, the sensitivity and specificity for meningioma tumour detection towards clinical diagnosis might improve in future applications using FTIR microspectroscopy due to its relatively larger spatial resolution in comparison with ATR-FTIR spectroscopy, which enables the acquisition of richer spatially distributed spectrochemical information.…”

Section: Discussionmentioning

confidence: 99%

Spectrochemical differentiation of meningioma tumours based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy

et al. 2019

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Meningiomas are the commonest types of tumours in the central nervous system (CNS). It is a benign type of tumour divided into three WHO grades (I, II and III) associated with tumour growth rate and likelihood of recurrence, where surgical outcomes and patient treatments are dependent on the meningioma grade and histological subtype. The development of alternative approaches based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy could aid meningioma grade determination and its biospectrochemical profiling in an automated fashion. Herein, ATR-FTIR in combination with chemometric techniques is employed to distinguish grade I, grade II and grade I meningiomas that re-occurred. Ninety-nine patients were investigated in this study where their formalin-fixed paraffin-embedded (FFPE) brain tissue samples were analysed by ATR-FTIR spectroscopy. Subsequent classification was performed via principal component analysis plus linear discriminant analysis (PCA-LDA) and partial least squares plus discriminant analysis (PLS-DA). PLS-DA gave the best results where grade I and grade II meningiomas were discriminated with 79% accuracy, 80% sensitivity and 73% specificity, while grade I versus grade I recurrence and grade II versus grade I recurrence were discriminated with 94% accuracy (94% sensitivity and specificity) and 97% accuracy (97% sensitivity and 100% specificity), respectively. Several wavenumbers were identified as possible biomarkers towards tumour differentiation. The majority of these were associated with lipids, protein, DNA/RNA and carbohydrate alterations. These findings demonstrate the potential of ATR-FTIR spectroscopy towards meningioma grade discrimination as a fast, low-cost, non-destructive and sensitive tool for clinical settings.

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Section: Discussionmentioning

confidence: 99%

Spectrochemical differentiation of meningioma tumours based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy

et al. 2019

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“…Raman spectroscopy is a minimally invasive optical technique with the potential to detect the biomolecular alterations associated with radiation response of cells and tissues. 8,[13][14][15][16][17][18][19] The obtained information is at the molecular level, particularly about chemical and structural alterations as well as changes in bond length and angles. 13 The range from 400 to 2000 cm -1 wavenumbers corresponds to relevant regions of the Raman spectrum associated with biological tissues and provides a fingerprint of the sample's biomolecular content.…”

Section: Introductionmentioning

confidence: 99%

“…13 The range from 400 to 2000 cm -1 wavenumbers corresponds to relevant regions of the Raman spectrum associated with biological tissues and provides a fingerprint of the sample's biomolecular content. 13,14,18 The most important modes are associated with bond vibrations of carbohydrates, phosphate groups of DNA, and proteins. 13,14,18 Due to its vibrational character, Raman spectroscopy is particularly sensitive to geometric structure, and bonding changes in molecules and is a powerful tool to investigate potential structural disorders and chemical changes in molecules as a result of radiation injury.…”

Section: Introductionmentioning

confidence: 99%

“…13,14,18 The most important modes are associated with bond vibrations of carbohydrates, phosphate groups of DNA, and proteins. 13,14,18 Due to its vibrational character, Raman spectroscopy is particularly sensitive to geometric structure, and bonding changes in molecules and is a powerful tool to investigate potential structural disorders and chemical changes in molecules as a result of radiation injury. 8,20 The biological structures contain intrinsic fluorophores such as tryptophan, collagen, nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FAD), and porphyrins.…”

Section: Introductionmentioning

confidence: 99%

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Raman and Fluorescence Profiles Modifications of Muscular and Adipose Tissues Exposed to Low Energy X-ray Beams

et al. 2021

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This work aims to investigate changes induced by low-energy radiation in adipose and muscular tissues employing autofluorescence and Raman spectroscopic techniques. X-ray beams expositions with 25 and 35 kV at 0.11, 1.1, and 2.1 Gy radiation dose levels were applied. Changes in Raman line intensities at specific bands assigned to collagen, proteins, and lipids were observed. Autofluorescent analysis exhibit variations in the collagen and nicotinamide adenine dinucleotide emission, resulting from the structural modifications, variations on the reduced/oxidized fluorophores equilibrium followed by radiation exposure. Results show that Raman and fluorescence spectroscopy are suitable techniques to evaluate radiation effects on biomolecules even at low radiation doses and energies.

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“…7 The main symptoms in patient with meningotheliomas are sensory and motor deficits or gait disturbance. 8…”

Section: Introductionmentioning

confidence: 99%

Raman imaging and statistical methods for analysis various type of human brain tumor

Kopeć

Błaszczyk

Radek

et al. 2021

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Spectroscopic methods provide information on the spatial localization of biochemical components based on the analysis of vibrational spectra. Raman spectroscopy and Raman imaging can be used to analyze various types of human brain tissue. The objective of this study is employment of Raman spectroscopy and Raman imaging to evaluate the Raman biomarkers to distinguish tumor types. We have demonstrated that bands characteristic for carotenoids (1156 cm-1, 1520 cm-1), proteins (1004 cm-1), fatty acids (1444 cm-1, 1655 cm-1) and cytochrome (1585 cm-1) can be used as universal biomarkers to distinguish aggressiveness in human brain tumor. The sensitivity and specificity obtained from PLS-DA have been over 85%. Only for pituitary adenoma the specificity is lower and takes equal 46%. The presented results confirm the potential applications of vibrational spectroscopy methods in oncological diagnostics.

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Determination of meningioma brain tumour grades using Raman microspectroscopy imaging

Abstract: Raman microspectroscopy imaging was used to distinguish 90 brain tissue samples into meningiomas Grade I and Grade II.

Cited by 25 publications

References 38 publications

Spectrochemical differentiation of meningioma tumours based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy

Spectrochemical differentiation of meningioma tumours based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy

Raman and Fluorescence Profiles Modifications of Muscular and Adipose Tissues Exposed to Low Energy X-ray Beams

Raman imaging and statistical methods for analysis various type of human brain tumor

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