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Detection of Relapses of Glial Brain Tumors Using Quantification of Single-Photon Emission Computed Tomography with 99mTc Technetril and of Perfusion Magnetic Resonance Imaging in Arterial Spin Labelling Mode

https://doi.org/10.18705/23114495-2026-13-1-92-107

EDN: NLBIXH

Abstract

The aim of the study was to quantify and compare the parameters of cerebral tumor blood flow in neuro-oncological neurosurgical patients with relapse-free course and recurrence of glial low-grade tumors using SPECT-CT with 99mTc-Technetril as a tumorotropic radiopharmaceutical, and MRI in the arterial spin labelling (ASL) mode. Materials and methods. The study included 23 patients treated 2019-2020 with glial brain tumors (15 with grade 2‒4 anaplasia gliomas and 8 with glioblastomas). Of these, 16 with glial brain tumors (13 — gliomas and 3 — glioblastomas) after radical tumor removal followed by external gamma therapy, and 7 with inoperable formations were examined after chemoradiotherapy, without surgical removal. The patients were divided into groups 1 — with a relapse-free course, 11 people; of those who had a relapse/continued growth, 12 patients (group 2), five of them died during a two-year follow-up. All underwent MRI of the brain (MRI 3.0 T) in ASL mode with calculation of cerebral blood flow in absolute units — as ml/min/100 cm3, as well as SPECT-CT with 99mTc-Technetril on a gamma camera with the ability to determine standardized uptake values (SUV), with calculation of blood flow in tumor formations (РКрОпОФЭКТ), using the method KML (Krivonogov-Minin-Lishmanov), as РКрОпОФЭКТ = СВП99mTc-Технетрил * (МО/Body Weight) * 100, where СВП99mTc-Технетрил is the standardized value of rfp uptake, MO is the minute volume, 100 is the conversion coefficient for representing the result in the usual units “ml/min/100 cm3 of tissue”. Results. ASL MRI and SPECT-CT with 99mTc-Technetril methods significantly correlate with each other and are interchangeable in terms of the obtained values of blood flow of malignant tumors, both maximum and average in the studied regions. If there is a visual nodular structure in the area of the removed brain tumor, and blood flow anywhere within it is more than 23 ml/min/ 100 cm3, the presence of continued growth or recurrence of a low-grade glial neoplasm is likely. Conclusion. As follows from the presented visual-semiotic and computational data of ASL MRI and SPECT CT with 99mTc-Technetril, these methods should reasonably be used as widely as possible for early monitoring of the postoperative condition in patients after radical removal of glial low-grade brain tumors. It is advisable to further their comparative and joint study, including in inter-center studies.

About the Authors

Wladimir Yu. Ussov
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Wladimir Yu. Ussov, MD, DSc, Professor, Chief researcher at the department of radiation and instrumental research,

15, Rechkunovskaya str., Novosibirsk, 630055.


Competing Interests:

Authors declare absence of every kind of conflict.



Ilya S. Karabanov
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Ilya S. Karabanov, Postgraduate Student of the scientific research department of radiation and instrumental diagnostics,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Stanislav M. Minin
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Stanislav M. Minin, MD, PhD, Researcher at the Research Department of Oncology and Radiotherapy at the Institute of Oncology and Neurosurgery, the Scientific Research Department of Radiation and Instrumental Diagnostics,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Andrey A. Tulupov
International Tomography Center, Siberian Branch of the Russian Academy of Sciences
Russian Federation

Andrey A. Tulupov, Corresponding Member of the Russian Academy of Sciences, Professor, MD, DSc, Head of the Laboratory of MRI Technology,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Li YongPing
Changchun Sino-Russian Science and Technology Park
China

Li Yongping (李永平), PhD in Technical Sciences, General Director,

Changchun.


Competing Interests:

Authors declare absence of every kind of conflict.



Zhanat Zh. Anashbaev
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Zhanat Zh. Anashbaev, Radiologist, Department of Radiology,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Pavel A. Semin
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Pavel A. Semin, MD, PhD, Head of the Department of Neurosurgery,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Shan YaMing
Changchun Sino-Russian Science and Technology Park
China

Shan Yaming (单亚明), DSc in Biological Sciences, Scientific Director of the Faculty of Biological Sciences, Jilin University,

Changchun.


Competing Interests:

Authors declare absence of every kind of conflict.



N. A. Nikitin
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Nikita A. Nikitin, MD, PhD, Head of the Department of Radiology, Radiologist,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Evgenii S. Polovnikov
Academician E.N. Meshalkin National Medical Research Center of the Ministry of Health of the Russia
Russian Federation

Evgenii S. Polovnikov, MD, PhD, Radiologist, Researcher at the Department of Radiotherapy,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Mikhail E. Amelin
State Budgetary Healthcare Institution of the Novosibirsk Region “State Novosibirsk Regional Clinical Hospital”
Russian Federation

Mikhail E. Amelin, MD, PhD, Head of the Department of Radiation Diagnostics,

Novosibirsk.


Competing Interests:

Authors declare absence of every kind of conflict.



Yuri B. Lishmanov
National Research Tomsk Polytechnic University
Russian Federation

Yuri B. Lishmanov, MD, DSc, Corresponding Member of the Russian Academy of Sciences, Leading Engineer of Laboratory No.31 of the Reseach Nuclear Reactor of the “Biomedical Engineering” School,

Tomsk .


Competing Interests:

Authors declare absence of every kind of conflict.



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Review

For citations:


Ussov W.Yu., Karabanov I.S., Minin S.M., Tulupov A.A., YongPing L., Anashbaev Zh.Zh., Semin P.A., YaMing Sh., Nikitin N.A., Polovnikov E.S., Amelin M.E., Lishmanov Yu.B. Detection of Relapses of Glial Brain Tumors Using Quantification of Single-Photon Emission Computed Tomography with 99mTc Technetril and of Perfusion Magnetic Resonance Imaging in Arterial Spin Labelling Mode. Translational Medicine. 2026;13(1):92-107. (In Russ.) https://doi.org/10.18705/23114495-2026-13-1-92-107. EDN: NLBIXH

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ISSN 2311-4495 (Print)
ISSN 2410-5155 (Online)