Proton Magnetic Resonance Spectroscopy in the Assessment of Metabolic Changes in Brain Gliomas and the Perifocal Zone: A Pilot Study
##article.numberofdownloads## 0
##article.numberofdownloads## 0
##article.numberofviews## 2
pdf (Русский)
pdf suppl (Русский)

Keywords

proton magnetic resonance imaging
MR spectroscopy
glioblastomas
brain gliomas
metabolites

How to Cite

Sidorina, A. S., Prosalova, N. V., Ryzhkov, A. V., Trufanov, G. E., Fokin, V. A., Prokudin, M. Y., Martynov, B. V., & Bodrova, O. V. (2026). Proton Magnetic Resonance Spectroscopy in the Assessment of Metabolic Changes in Brain Gliomas and the Perifocal Zone: A Pilot Study. Voprosy Onkologii, 72(4), 2620. https://doi.org/10.37469/0507-3758-2026-72-4-2620

Abstract

Introduction. High-grade gliomas (Grade 3–4 according to the WHO classification, 2021) are the most infiltrative brain tumors. The prevalence of these tumors in developed countries is approximately 5.9 cases per 100,000 population, with a mortality rate of 4.0 cases per 100,000 [1]. Despite advances in neurosurgery, chemotherapy protocols, and radiation therapy, the median survival of patients with glioblastoma remains low at approximately 14–16 months [2–5].

Aim. To conduct a pilot study assessing metabolic changes in the tumor and perifocal zone of high-grade gliomas, with the aim of incorporating proton magnetic resonance spectroscopy (¹H-MRS) data into the diagnostic protocol.

Materials and Methods. A prospective pilot study was conducted in patients with suspected glial brain tumors. The study group included men and women aged 18 to 70 years. Spectroscopy voxel positioning was performed using reference MRI images with a multivoxel spectroscopy matrix (chemical shift imaging — CSI). The region of interest was selected within this matrix.

Results. ¹H-MRS performed in 27 patients with glial tumors revealed significant metabolic changes in the tumor nodule and perifocal zone compared with intact brain tissue. Comparison of metabolic parameters between histological subtypes showed that Cho/NAA values were 35–50 % higher in IDH-wildtype glioblastomas than in IDH-mutant astrocytomas (p < 0.05).

Conclusion. This pilot study confirmed that ¹H-MRS is a highly informative technique for assessing metabolic changes in high-grade gliomas.

https://doi.org/10.37469/0507-3758-2026-72-4-2620
##article.numberofdownloads## 0
##article.numberofdownloads## 0
##article.numberofviews## 2
pdf (Русский)
pdf suppl (Русский)

References

Torre L.A., Bray F., Siegel R.L., et al. Global cancerstatistics, 2012. CA Cancer J Clin. 2015; 65(2): 87-108.-DOI: 10.3322/caac.21262.

Ostrom Q.T., Patil N., Cioffi G., et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2014–2018. Neuro Oncol. 2021; 23(3): iii1-iii105 .-DOI: 10.1093/neuonc/noab200.

Жукова Т.В., Еремин И.И., Борисов К.Е., et al. Патоморфологическая оценка перитуморозной зоны высокозлокачественных глиом как критерий минимизации объема оперативного вмешательства (оригинальное исследование). Неврология и нейрохирургия. Восточная Европа. 2022; 12(1): 17-28.-DOI: 10.34883/PI.2022.12.1.043. [Zhukova T.V., Eremin I.I., Borisov K.E., et al. Pathological evaluation of the peritumorous zone of high-grade gliomas as a criterion for minimizing the volume of surgical intervention. Neurology and Neurosurgery. Eastern Europe. 2022; 12(1): 17-28.-DOI: 10.34883/PI.2022.12.1.043 (In Rus)].

Cui Y., Zeng W., Jiang H., et al. Higher Cho/NAA ratio in postoperative peritumoral edema zone is associated with earlier recurrence of glioblastoma. Front Neurol. 2020; 11: 592155.-DOI: 10.3389/fneur.2020.592155.

Lu W., Feng J., Zou Y., et al. 1H-MRS parameters in non-enhancing peritumoral regions can predict the recurrence of glioblastoma. Sci Rep. 2024; 14(1): 29258.-DOI: 10.1038/s41598-024-80610-z.

Torp S.H., Solheim O., Skjulsvik A.J. The WHO 2021 classification of central nervous system tumours: a practical update on what neurosurgeons need to know-a minireview. Acta Neurochir (Wien). 2022; 164(9): 2453-2464.-DOI: 10.1007/s00701-022-05301-y.

Диникина Ю.В., Белогурова М.Б. Особенности новой классификации опухолей центральной нервной системы ВОЗ 2021: взгляд клинициста. Российский журнал персонализированной медицины. 2022; 2(4): 77-90.-DOI: 10.18705/2782-3806-2022-2-4-77-90. [Dinikina Y.V., Belogurova M.B. Major features of the 2021 WHO Classification of Tumors of the Central Nervous System: clinician’s view. Russian Journal for Personalized Medicine. 2022; 2(4): 77-90.-DOI: 10.18705/2782-3806-2022-2-4-77-90 (In Rus)].

Кальянго К., Дяченко А.А., Богданов Д.В., et al. Рост заболеваемости глиобластомой на фоне уменьшения частоты опухолей головного мозга в 2000-2020 гг.: популяционное регистровое исследование. Журнал «Вопросы нейрохирургии» имени Н.Н. Бурденко. 2022; 86(5): 28-36.-DOI: 10.17116/neiro20228605128. [Kalyango K., Dyachenko A.A., Bogdanov D.V., et al. Increment of the incidence of glioblastoma following decrease in the incidence of brain tumors in 2000-2020: a population-based registry study. Burdenko's Journal of Neurosurgery. 2022; 86(5): 28-36.-DOI: 10.17116/neiro20228605128 (In Rus)].

Eid M., Alset D., Timoshkina N., et al. IDH mutation and MGMT methylation status in glioblastoma and other gliomas patients: a Russian retrospective cohort study. J Egypt Natl Canc Inst. 2025; 37(1): 36.-DOI: 10.1186/s43046-025-00296-w.

Борисов К.Е., Сакаева Д.Д. Генные нарушения и молекулярно-генетические подтипы злокачественных глиом. Архив патологии. 2013; 75(3): 52-61. [Borisov K.E., Sakaeva D.D. Gene disorders and molecular genetic subtypes of malignant gliomas. Russian Journal of Archive of Pathology. 2013; 75(3): 52-61 (In Rus)].

Suh C.H., Kim H.S., Jung S.C., et al. 2-Hydroxyglutarate MR spectroscopy for prediction of isocitrate dehydrogenase mutant glioma: a systemic review and meta-analysis using individual patient data. Neuro Oncol. 2018; 20(12): 1573-1583.-DOI: 10.1093/neuonc/noy113.

Рыжова М.В., Шайхаев Е.Г., Казарова М.В., et al. Спектр генетических нарушений в анапластических астроцитомах и анапластических олигодендроглиомах. Журнал «Вопросы нейрохирургии» имени Н.Н. Бурденко. 2017; 81(6): 26-31.-DOI: 10.17116/neiro201781626-31. [Ryzhova M.V., Shaykhaev E.G., Kazarova M.V., et al. The spectrum of genetic alterations in anaplastic gliomas: and anaplastic oligodendrogliomas. Burdenko's Journal of Neurosurgery. 2017; 81(6): 26-31.-DOI: 10.17116/neiro201781626-31 (In Rus)].

Shi Y., Liu D., Kong Z., et al. Prognostic value of choline and other metabolites measured using 1H-magnetic resonance spectroscopy in gliomas: A meta-analysis and systemic review. Metabolites. 2022; 12(12): 1219.-DOI: 10.3390/metabo12121219.

Zickus J.R., Enriquez J.S., Smith P., et al. NMR-based metabolomic profiling for brain cancer diagnosis and treatment guidance. Metabolites. 2025; 15(9): 607.-DOI: 10.3390/metabo15090607.

Ублинский М.В., Манжурцев А.В., Меньщиков П.Е., et al. Мультимодальные исследования головного мозга человека с использованием функциональной магнитно-резонансной томографии и магнитно-резонансной спектроскопии. Анналы клинической и экспериментальной неврологии. 2018; 12(1): 54-60.-DOI: 10.25692/ACEN 2018.1.8. [Ublinskiy M.V., Abramyan V.V., Pogosyan R.A., et al. Mul'timodal'nye issledovaniya golovnogo mozga cheloveka s ispol'zovaniem funktsional'noi magnitno-rezonansnoi tomografii i magnitno-rezonansnoi spektroskopii. Annaly klinicheskoi i eksperimental'noi nevrologii. 2018; 12(1): 54-60.-DOI: 10.25692/ACEN 2018.1.8 (In Rus)]

Han X., Xiao K., Bai J., et al. Multimodal MRI and 1H-MRS for preoperative stratification of high-risk molecular subtype in adult-type diffuse gliomas. Diagnostics (Basel). 2024; 14(22): 2569.-DOI: 10.3390/diagnostics14222569.

Liu H., Zhang Q., Niu S., Liu H. Value of magnetic resonance images and magnetic resonance spectroscopy in diagnosis of brain tumors under fuzzy C-means algorithm. Contrast Media Mol Imaging. 2022; 2022: 3315121.-DOI: 10.1155/2022/3315121.

Kumar M., Nanga R.P.R., Verma G., et al. Emerging MR imaging and spectroscopic methods to study brain tumor metabolism. Front Neurol. 2022; 13: 789355.-DOI: 10.3389/fneur.2022.789355.

Michalska-Foryszewska A., Bujko M., Kwiatkowska-Miernik A., et al. The peritumoral brain zone in glioblastoma: a review of the pretreatment approach. Pol J Radiol. 2024; 89: e480-e487.-DOI: 10.5114/pjr/192044.

Crain I.D., Elias P.S., Chapple K., et al. Improving the utility of 1H-MRS for the differentiation of glioma recurrence from radiation necrosis. J Neurooncol. 2017; 133(1): 97-105.-DOI: 10.1007/s11060-017-2407-y.

Feng A., Yuan P., Huang T., Li L., Lyu J. Distinguishing tumor recurrence from radiation necrosis in treated glioblastoma using multiparametric MRI. AcadRadiol. 2022; 29(9): 1320-1331.-DOI: 10.1016/j.acra.2021.11.008.

Cordova J.S., Shu H.K., Liang Z., et al. Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients. Neuro Oncol. 2016; 18(8): 1180-9.-DOI: 10.1093/neuonc/now036.

Lu W., Feng J., Zou Y., et al. 1H-MRS parameters in non-enhancing peritumoral regions can predict the recurrence of glioblastoma. Sci Rep. 2024; 14(1): 29258.-DOI: 10.1038/s41598-024-80610-z.

Abdul Rashid K., Ibrahim K., Wong J.H.D., Mohd Ramli N. Lipid alterations in glioma: A systematic review. Metabolites. 2022; 12(12): 1280.-DOI: 10.3390/metabo12121280.

Scola E., Del Vecchio G., Busto G., et al. Conventional and advanced magnetic resonance imaging assessment of non-enhancing peritumoral area in brain tumor. Cancers (Basel). 2023; 15(11): 2992.-DOI: 10.3390/cancers15112992.

Захарова Н.Е., Баталов А.И., Погосбекян Э.Л., et al. Исследования перифокальной зоны глиом головного мозга с помощью магнитно-резонансной томографии (обзор литературы). Радиология — практика. 2024; 1: 20-36.-DOI: 10.52560/2713-0118-2024-1-20-36. [Zakharova N.E., Batalov A.I., Pogosbekyan E.L., et al. Magnetic resonance imaging in studies of perifocal zone of brain gliomas (a literature review). Radiology — Practice. 2024; 1: 20-36.-DOI: 10.52560/2713-0118-2024-1-20-36 (In Rus)].

Ballestín A., Armocida D., Ribecco V., Seano G. Peritumoral brain zone in glioblastoma: biological, clinical and mechanical features. Front Immunol. 2024; 15: 1347877.-DOI: 10.3389/fimmu.2024.1347877.

Giambra M., Di Cristofori A., Valtorta S., et al. The peritumoral brain zone in glioblastoma: where we are and where we are going. J Neurosci Res. 2023; 101(2): 199-216.-DOI: 10.1002/jnr.25134.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© АННМО «Вопросы онкологии», Copyright (c) 2026