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

DOI

10.2991/978-94-6463-984-1_16How to use a DOI?

Keywords

brain tumours; diagnostic model; infrared spectroscopy; machine learning

Abstract

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.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Shokhzoda Tukhtaeva
AU  - Vera Sitnikova
AU  - Tatyana Nosenko
AU  - Muratali Bazarbaev
AU  - Mansur Aliev
AU  - Mukhriddin Jabborov
AU  - Dilbar Sayfullayeva
PY  - 2025
DA  - 2025/12/26
TI  - Spectrochemical Differentiation of Primary Brain Tumors Using Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) Spectroscopy Combined with PCA-LDA Modeling
BT  - Proceedings of the Turakulov Readings 2025 Conference (TR 2025)
PB  - Atlantis Press
SP  - 148
EP  - 161
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-984-1_16
DO  - 10.2991/978-94-6463-984-1_16
ID  - Tukhtaeva2025
ER  -