Neuroimaging of brain tumors: back to the standardized MRI-protocol
https://doi.org/10.52560/2713-0118-2024-1-66-84
Abstract
Despite the widespread application of MRI in brain tumor MR-imaging, the standardized MRI protocol has not yet been approved. This fact creates obstacles for interpreting of the obtained data and even limits the diagnostic power of MRI. Standardization of MRI studies facilitates successful planning of surgery, chemotherapy, or radiation therapy and provides more reliable follow-up. In this regard, unification of image acquisition parameters and protocols remains relevant. We propose a standard MRI protocol that includes axial and coronal T2-weighted images, axial or 3D T2-FLAIR, 3D T2* (gradient echo), diffusion-weighted imaging, axial T1-weighted images, contrast-enhanced spin-echo T1-weighted images (either axial or three planes) and obligatory subsequent isotropic 3D T1 images. The following combination of sequences facilitates the correct diagnosis and follow-up. The least magnetic field strength should be 1.5 T.
Supporting agencies: This research was funded by Russian Science Foundation grant № 22-75-10074 (https://rscf.ru/project/ 22-75-10074/).
About the Authors
N. E. Zakharova
N. N. Burdenko National Medical Research Center OF Neurosurgery of the Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
Zakharova Natal’ya Evgen’evna, radiologist, PhD, professor RAS, Department of Neuroradiology
16, 4-ya Tverskaya-Yamskaya, Moscow, 125047
+7 (499) 972-85-55
I. N. Pronin
N. N. Burdenko National Medical Research Center OF Neurosurgery of the Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
Pronin Igor Nikolaevich, М. D., D. Sci., Academician of the Russian Academy of Sciences, Head of Department of Neuroradiology
16, 4-ya Tverskaya-Yamskaya, Moscow, 125047
+7 (499) 972-85-55
A. I. Batalov
N. N. Burdenko National Medical Research Center OF Neurosurgery of the Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
Batalov Artem Igorevich, radiologist, PhD, Department of Neuroradiology
16, 4-ya Tverskaya-Yamskaya, Moscow, 125047
+7 (499) 972-85-55
I. V. Chekhonin
N. N. Burdenko National Medical Research Center OF Neurosurgery of the Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
Chekhonin Ivan Vladimirovich, radiologist, Ph. D. Med., junior research associate, Department of Neuroradiology
16, 4-ya Tverskaya-Yamskaya, Moscow, 125047
+7 (499) 972-85-55
A. N. Tyurina
N. N. Burdenko National Medical Research Center OF Neurosurgery of the Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
Tyurina Anastasia Nikolaevna, radiologist, PhD, Department of Neuroradiology
16, 4-ya Tverskaya-Yamskaya, Moscow, 125047
+7 (499) 972-85-55
References
1. Batalov A. I., Zakharova N. E., Pogosbekyan E. L., Fadeeva L. M., Goryaynov S. A., Baev A. A., Shul’ts E. I., Chelushkin D. M., Potapov A. A., Pronin I. N. Non-contrast ASL perfusion in preoperative diagnosis of supratentorial gliomas. Zhurnal Voprosy Neirokhirurgii Imeni N. N. Burdenko. 2018;82(6):15-22. (In Russ., In Engl.) https://doi.org/10.17116/neir o20188206115
2. Zakharova N. E., Pronin I. N., Batalov A. I., Shul’ts E. I., Tyurina A. N., Baev A. A., Fadeeva L. M. Modern standards for magnetic resonance imaging of the brain tumors. Zhurnal Voprosy Neirokhirurgii Imeni N. N. Burdenko. 2020;84(3): 102-112. (In Russ., In Engl.) https://doi.org/10.17116/neiro202084031102
3. Pronin I. N., Zakharova N. E., Fadeeva L. M., Pronin A. I., Shul’ts E. I., Batalov A. I. SWI/SWAN pulse sequence in MR imaging of microhemorrhages and vascular malformations. Onkologicheskij zhurnal: luchevaja diagnostika, luchevaja terapija. 2018;1(3):49-59. (In Russ.)
4. Pronin I. N., Zakharova N. E., Batalov A. I., Schul’ts E. I., Tyurina A. N., Baev A.A., Fadeeva L. M. Diagnostic standards in diagnostics of brain disorders. Kremlevskaya medicina. Klinicheskij vestnik. 2020;1:107-118. (In Russ.)
5. Batalov A. I., Zakharova N. E., Pronin I. N., Belyaev A. Yu., Pogosbekyan E. L., Goryaynov S. A., Bykanov A. E., Tyurina A. N., Shevchenko A. M., Solozhentseva K. D., Nikitin P. V., Potapov A. A. 3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients. Sci. Rep. 2022;12:2121. https://doi.org/10.1038/s41598-022-05992-4
6. Ellingson B., Bendszus M., Boxerman J., Barboriak D., Erickson B., Smits M., Nelson S., Gerstner E., Alexander B., Goldmacher G. et al. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials. Neuro Oncol. 2015;17(9):1188-1198. https://doi.org/10.1093/neuonc/nov095
7. Gihr G., Horvath-Rizea D., Kohlhof-Meinecke P., Ganslandt O., Henkes H., Härtig W., Donitza A., Skalej M., Schob S. Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization. Cancers. 2022; 14(14):3393.
8. Guida L., Stumpo V., Bellomo J., van Niftrik C. H. B., Sebök M., Berhouma M., Bink A., Weller M., Kulcsar Z., Regli L. et al. Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading. Cancers. 2022;14(14):1432.
9. Hong E. K., Choi S. H., Shin D. J., Jo S. W., Yoo R. E., Kang K. M., Yun T. J., Kim J. H., Sohn C. H., Park S. H. et al. Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma. Eur. Radiol. 2018; 28(10): 4350-4361. https://doi.org/10.1007/s00330-018-5400-8
10. Iv M., Bisdas S. Neuroimaging in the Era of the Evolving WHO Classification of Brain Tumors, From the AJR Special Series on Cancer Staging. AJR Am. J. Roentgenol. 2021;217(1):3-15. https://doi.org/10.2214/AJR.20.25246
11. Jain R., Essig M. Brain tumor imaging. New York, Stuttgart, Delhi, Rio de Janeiro Thieme. 2016. https://doi.org/10.1055/b-0035-122291
12. Kang X. W., Xi Y. B., Liu T. T., Wang N., Zhu Y. Q., Wang X. R., Guo F. Grading of Glioma: Combined diagnostic value of amide proton transfer weighted, arterial spin labeling and diffusion weighted magnetic resonance imaging. BMC Med. Imaging. 2020;20:50.
13. Kaufmann T. J., Smits M., Boxerman J., Huang R., Barboriak D. P., Weller M., Chung C., Tsien C., Brown P. D., Shankar L., Galanis E., Gerstner E., van den Bent M. J., Burns T. C., Parney I. F., Dunn G., Brastianos P. K., Lin N. U., Wen P. Y., Ellingson B. M. Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro. Oncol. 2020;22(6):757-772. https://doi.org/10.1093/neuonc/noaa030
14. Mabray M., Barajas R.F., Cha S. Modern brain tumor imaging. Brain. Tumor. Res. Treat. 2015;3(1):8-23. https://doi.org/10.14791/btrt.2015.3.1.8
15. Malik D. G., Rath T. J., Urcuyo Acevedo J. C., Canoll P. D., Swanson K. R., Boxerman J. L., Quarles C. C., Schmainda K. M., Burns T. C., Hu L. S. Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions. Front. Radiol. 2022;2:809373. https://doi.org/10.3389/fradi.2022.809373
16. Martucci M., Russo R., Schimperna F., D’Apolito G., Panfili M., Grimaldi A., Perna A., Ferranti A. M., Varcasia G., Giordano C. et al. Magnetic Resonance Imaging of Primary Adult Brain Tumors: State of the Art and Future Perspectives. Biomedicines. 2023;11(2):364. https://doi.org/10.3390/biomedicines11020364
17. Osborn A. G., Louis D. N., Poussaint T. Y., Linscott L. L., Salzman K. L. The 2021 World Health Organization Classification of Tumors of the Central Nervous System: What Neuroradiologists Need to Know. AJNR Am. J. Neuroradiol. 2022;43(7):928-937. https://doi.org/10.3174/ajnr.A7462
18. Stumpo V., Guida L., Bellomo J., Van Niftrik C. H. B., Sebö, M., Berhouma M., Bink A., Weller M., Kulcsar Z., Regli L. et al. Hemodynamic Imaging in Cerebral Diffuse Glioma-Part B: Molecular Correlates, Treatment Effect Monitoring, Prognosis, and Future Directions. Cancers. 2022;14(5):1342. https://doi.org/10.3390/cancers14051342
19. Thust S. C., Hassanein S., Bisdas S., Rees J. H., Hyare H., Maynard J. A., Brandner S., Tur C., Jäger H .R., Yousry T.A. et al. Apparent diffusion coefficient for molecular subtyping of non-gadoliniumenhancing WHO grade II/III glioma: Volumetric segmentation versus two-dimensional region of interest analysis. Eur. Radiol. 2018;28:3779-3788. https://doi.org/10.1007/s00330-018-5351-0
20. Van Santwijk L., Kouwenberg V., Meijer F., Smits M., Henssen D. A systematic review and meta-analysis on the differentiation of glioma grade and mutational status by use of perfusion-based magnetic resonance imaging. Insights Imaging. 2022;13:102.
21. Villanueva-Meyer J. E., Mabray M. C., Cha S. Current Clinical Brain Tumor Imaging. Neurosurgery. 2017;81(3)397-415. https://doi.org/10.1093/neuros/nyx103
Supplementary files
Review
For citations:
Zakharova N.E., Pronin I.N., Batalov A.I., Chekhonin I.V., Tyurina A.N. Neuroimaging of brain tumors: back to the standardized MRI-protocol. Radiology - Practice. 2024;(1):66-84. (In Russ.) https://doi.org/10.52560/2713-0118-2024-1-66-84
Views:
449
Email this article 