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.
Keywords
About the Authors
Wladimir Yu. UssovRussian 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
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
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
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
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
Russian Federation
Zhanat Zh. Anashbaev, Radiologist, Department of Radiology,
Novosibirsk.
Competing Interests:
Authors declare absence of every kind of conflict.
Pavel A. Semin
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
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
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
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
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
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.
References
1. Pronin IN, Fadeeva LM, Podoprigora AE, et al. Spin labeling of arterial blood (ASL) is a method for visualizing and evaluating cerebral blood flow. Radiation diagnostics and therapy. 2012;3(3):64‒78. (In Russ.) https://www.elibrary.ru/parqkl
2. Shultz EI, Batalov AI, Afandiev RM, et al. ASL perfusion in the differential diagnosis of tumors of the lateral ventricles and transparent septum. Radiology — practice. 2020;4(82):16‒26. (In Russ.) https://www.elibrary.ru/xnuunu
3. Efimova NYu, Krivonogov NG, Lishmanov YuB, Efimova IYu. Current possibilities of using radiopharmaceuticals to evaluate cerebral blood flow. Bulletin of Radiology and Radiology. 2017;98(1):44–49. (In Russ.) https://doi.org/10.20862/00424676-2017-98-1-44-49
4. Ussov WYu, Babikov VYu, Minin SM, et al. Quantitative SPECT of the brain with 99mTc-Technetril in the diagnosis, evaluation of the effectiveness of complex therapy of low-grade gliomas and life prognosis of patients. Russian Neurosurgical Journal named after Professor A.L. Polenov. 2023;15(NoS1):26‒27. (In Russ.) https://www.elibrary.ru/qgpxkz
5. Ussov WY, Minin SM, Soukhov VY, et al. Development of a method for quantitative calculation of tissue and tumor blood flow according to SPECT-CT with 99mTс-Technetril, using gamma cameras with automated assessment of local accumulation of RFP in absolute units as a standardized uptake value // Congress of the Russian Society of Radiologists and Radiologists: abstracts, St. Petersburg, November 08‒10, 2023. St. Petersburg: St. Petersburg Public Organization “Man and his Health”; 2023. Pp. 230—231. (In Russ.) https://www.elibrary.ru/noxisa
6. Mashkovtsev KA, Petreneva EA. Experience in the use of PET/CT in radiation treatment planning. Ural medical journal. 2020;2(185):34‒36. (In Russ.) https://doi.org/10.25694/URMJ.2020.02.09, https://www.elibrary.ru/zttzyp
7. Fateev KM, Tereshchenko GV, Belyaev VN, et al. Radiation treatment planning based on MRI only: first steps. Problems of hematology, oncology and immunopathology in pediatrics. 2018;17(3):60‒65. (In Russ.) https://doi.org/10.24287/1726-1708-2018-17-3-60-65, https://www.elibrary.ru/xztxmd
8. Kostenikov NA, Pozdnyakov AV, Iliuschenko YuR, et al. Modern technologies of nuclear medicine in diagnosis of brain tumors. Translational Medicine. 2018;5(5):37–45. (In Russ.) https:// www.elibrary.ru/yrrzjb
9. Sinitsyn VЕ, Tyurin IЕ, Shimanovskiy NL, et al. Safe use of contrast media in radiology (clinical guidelines). Bulletin of Radiology and Radiology. 2023;104(6):363–384. (In Russ.) https://doi.org/10.20862/0042-4676-2023-104-6-363-384, https://www.elibrary.ru/ynqoue
10. Karmazanovskiy GG, Shimanovskiy NL. Contrast agents for radiation diagnostics: guide. Мoscow: GEOTAR-Media; 2022. 672 p. (In Russ.)
11. Titova VA. Medical aspects of domestic innovative technical and technological capabilities of remote and contact radiation therapy in oncology: science for practical healthcare. A Difficult Patient. 2021;19(4):60‒64. (In Russ.) https://doi.org/10.224412/2074-1005-2021-4-60-64, https://www.elibrary.ru/oouutz
12. Onoprienko AV, Kostenikov NA, Velichko OB, et al. Use of fused images combining contrast-enhanced MRI and 99mTc--MIBI SPECT in diagnosis of recidive gliomas. Medical Vizualization. 2004;7(5):38‒46. (In Russ.) https://www.elibrary.ru/xaffzv
13. Nadeem Q, Khan I, Javed M, et al. Synthesis, characterization and bioevaluation of technetium-99m labeled N-(2-Hydroxybenzyl)-2-amino-2-deoxy-D-glucose as a tumor imaging agent. Pakistan journal of pharmaceutical sciences. 2013;26(2):353‒357.
14. Khan I, Shahid A, Dar UK, et al. Development and bioevaluation of 99mTc(CO)3-labeled (1-azido-1-deoxy-β-D-glucopyranoside) complex as a potential tumor-seeking agent. Pakistan journal of pharmaceutical sciences. 2013;26(2):353‒357.
15. Kostenikov NA, Dubrovskaya VF, Kovan’ko EG, et al. Possibilities of small-size glioblastoma visualization by PET-CT with 11C-choline (experimental study). Diagnostic Radiology and Radiotherapy. 2020;11(4):30–36. (In Russ.) https://doi.org/10.22328/2079-5343-2020-11-4-30-36
16. Popov VV, Stankevich YuA, Bogomyakova OB, Tulupov AA. Comparison of non-contrast magnetic resonance perfusion and phase-contrast angiography for the quantitative assessment of cerebral blood flow: a prospective cross-sectional study. Digital Diagnostics. 2025;6(2):203‒213. (In Russ.) https://doi.org/10.17816/DD636690, https://www.elibrary.ru/mhmuyw
17. Sollmann N, Hoffmann G, Schramm S, et al. Arterial spin labeling (ASL) in neuroradiological diagnostics — methodological overview and use cases. RoeFo.Fortschritte auf dem Gebiet der Roentgenstrahlen und der Bildgebenden Verfahren. 2024;196(01):36‒51. https://doi.org/10.1055/a-2119-5574, https://www.elibrary.ru/wyszop
18. Lindner T, Bolar DS, Achten E, et al. On behalf of the ISMRM Perfusion Study Group. Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging. Magn Reson Med. 2024;89(5):2024‒2047. https://doi.org/10.1002/mrm.29572
19. Krivonogov NG, Minin SM, Krylov AL, Lishmanov YuB. Radionuclide quantitative assessment of myocardial blood flow. Bulletin of Siberian Medicine. 2013;12(3):111‒116. (In Russ.) https://www.elibrary.ru/qzdkuf
20. Cuocolo A, Petretta M, Soricelli A. Measurement of coronary flow reserve by noninvasive cardiac imaging. European journal of nuclear medicine and molecular imaging. 2010;37:1198–1202. https://doi.org/10.1007/s00259-010-1401-9
21. Ussov WYu, Minin SM, Nikitin NA, et al. MR tomographic evaluation of the effectiveness of neoadjuvant chemotherapy for breast cancer based on pharmacokinetic numerical analysis of tumor uptake of paramagnetic contrast in intravenous contrast enhancement. Translational Medicine. 2024;11(5):428‒444. (In Russ.) https://doi.org/10.18705/2311-4495-2024-11-5-428-444, https://www.elibrary.ru/erfxxc
22. Bondareva IB, Narkevich BYa. Identification of radiopharmaceutical transport models in functional radionuclide diagnosis. Medical Radiology. 1991;36(5):36‒39. https://www.elibrary.ru/ksiegd
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
JATS XML





















