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Spectrochemical Differentiation of Primary Brain Tumors Using Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) Spectroscopy Combined with PCA-LDA Modeling

Shokhzoda TukhtayevaDepartment of Biomedical engineering, Informatics and Biophysics , Tashkent State Medical University , Tashkent , UzbekistanVera E. SitnikovaCenter for Chemical Engineering , ITMO University , RussiaTatyana NosenkoCenter for Chemical Engineering , ITMO University , RussiaMuratali BazarbaevDepartment of Biomedical engineering, Informatics and Biophysics , Tashkent State Medical University , Tashkent , UzbekistanMansur Abdukholikovich AlievDepartment of Neurosurgeory , Samarkand State Medical University , Samarkand , UzbekistanMukhriddin JabborovDepartment of Neurosurgeory , Samarkand State Medical University , Samarkand , UzbekistanDilbar SayfullayevaDepartment of Biomedical engineering, Informatics and Biophysics , Tashkent State Medical University , Tashkent , Uzbekistan

2025en

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Litsenziya: cc-by-nc

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Annotatsiya

Early and precise identification of primary brain tumors is still a great clinical challenge due to tumor heterogeneity and ambiguous histopathology primary tumours are the most common tumour types in the central nervous system (CNS) with four WHO grades of malignancy (I-IV) associated with tumour growth rate and likelihood of recurrence, where surgical outcomes and patient management depend on tumour grade and histological subtype.ATR-FTIR spectroscopy is a non-destructive, label-free method that reads the molecular fingerprint of tissue, picking up small shifts in lipids, proteins and nucleic acids In the present study, we used attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy aligned with principal component analysis and linear discriminant analysis (PCA-LDA) to determine the biochemical disparities of brain tumor samples between meningiomas and gliomas (diffuse astrocytoma and glioblastoma).Spectra were analised in the 1800-900 cm-1 region.The resultant PCA-LDA gave the best results: meningiomas and glioma were recognized with 95,6% accuracy (two-class model) with 100% sensitivity and 69,7% specificity, while classification into 3 groups showed 70,3% accuracy (71,3% sensitivity and 80,6% specificity).Several wavenumbers were identified as possible biomarkers for tumor differentiation.Most of them were related to lipids, proteins, DNA/RNA and carbohydrate alterations.These findings verify the potential future prospect for ATR-FTIR spectroscopy as an extremely rapid and robust diagnostic tool for brain tumour classification with highly appealing prospects for intraoperative and point-of-care applications.

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DOI: 10.2991/978-94-6463-984-1_16

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