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ISSN: 1641-4640
Folia Neuropathologica
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4/2023
vol. 61
 
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Original paper

The use of MR perfusion parameters in differentiation between glioblastoma recurrence and radiation necrosis

Barbara Bobek-Billewicz
1
,
Sylwia Heinze
2
,
Aleksandra Awramienko-Wloczek
1
,
Krzysztof Majchrzak
3
,
Elzbieta Nowicka
4
,
Anna Hebda
1

1.
Department of Radiology, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Poland
2.
Department of Radiology, Maria Sklodowska-Curie National Research Institute of Oncology, Cracow Branch, Poland
3.
Department and Clinical Ward of Neurosurgery, Medical University of Silesia, Sosnowiec, Poland
4.
IIIrd Radiotherapy and Chemotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Poland
Folia Neuropathol 2023; 61 (4): 371-378
Online publish date: 2023/12/29
Article file
- The use of MR.pdf  [0.19 MB]
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1. Abed E, Mohammed NH, Elsheshiny AH, Ahmed S, Rashad MH. Relation of post-stroke headachto cerebrovascular pathology and hemodynamics. Folia Neuropathol 2022; 60: 221-227.
2. Barajas RF, Chang JS, Segal MR, Parsa AT, McDermott MW, Ber-ger MS, Cha S. Differentiation of recurrent glioblastoma multiforme from radiation necrosis after external beam radiation therapy with dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 2009; 253: 486-496.
3. Belka C, Budach W, Kortmann RD, Bamberg M. Radiation induced CNS toxicity – molecular and cellular mechanisms. Br J Cancer 2001; 85: 1233-1239.
4. Burger PC, Mahley MS, Dudka L, Vogel FS. The morphologic effects of radiation administered therapeutically for intracranial gliomas: a postmortem study of 25 cases. Cancer 1979; 44: 1256-1272.
5. Chuang MT, Liu YS, Tsai YS, Chen YC, Wang CK. Differentiating radiation-induced necrosis from recurrent brain tumor using MR perfusion and spectroscopy: A meta-analysis. PLoS One 2016; 11: e0141438.
6. Gahramanov S, Muldoon LL, Varallyay CG, Li X, Kraemer DF, Fu R, Hamilton BE, Rooney WD, Neuwelt EA. Pseudoprogression of glioblastoma after chemo- and radiation therapy: diagnosis by using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging with ferumoxytol versus gadoteridol and correlation with survival. Radiology 2013; 266: 842-852.
7. Hu LS, Eschbacher JM, Heiserman JE, Dueck AC, Shapiro WR, Liu S, Karis JP, Smith KA, Coons SW, Nakaji P, Spetzler RF, Feuerstein BG, Debbins J, Baxter LC. Reevaluating the imaging definition of tumor progression: perfusion MRI quantifies recurrent glioblastoma tumor fraction, pseudoprogression, and radiation necrosis to predict survival. Neuro Oncol 2012; 14: 919-930.
8. Matsusue E, Fink JR, Rockhill JK, Ogawa T, Maravilla KR. Distinction between glioma progression and post-radiation change by combined physiologic MR imaging. Neuroradiology 2010; 52: 297-306.
9. Minamimoto R, Saginoya T, Kondo C, Tomura N, Ito K, Matsuo Y, Matsunaga S, Shuto T, Akabane A, Miyata Y, Sakai S, Kubota K. Differentiation of brain tumor recurrence from post-radiotherapy necrosis with 11C-methionine PET: Visual assessment versus quantitative assessment. PLoS One 2015; 10: e0132515.
10. Soliman HM, ElBeheiry AA, Abdel-Kerim AA, Reda MI, Farhoud AH. Recurrent brain tumor versus radiation necrosis; can dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging differentiate. Egypt J Radiol Nucl Med (Online) 2018; 49: 719-726.
11. Sugahara T, Korogi Y, Tomiguchi S, Shigematsu Y, Ikushima I, Kira T, Liang L, Ushio Y, Takahashi M. Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue. AJNR Am J Neuroradiol 2000; 21: 901-909.
12. Wan B, Wang S, Tu M, Wu B, Han P, Xu H. The diagnostic performance of perfusion MRI for differentiating glioma recurrence from pseudoprogression: A meta-analysis. Medicine (Baltimore) 2017; 96: e6333.
13. Wang S, Martinez-Lage M, Sakai Y, Chawla S, Kim SG, Alonso-Basanta M, Lustig RA, Brem S, Mohan S, Wolf RL, Desai A, Poptani H. Differentiating tumor progression from pseudoprogression in patients with glioblastomas using diffusion tensor imaging and dynamic susceptibility contrast MRI. AJNR Am J Neuroradiol 2016; 37: 28-36. Welker K, Boxerman J, Kalnin A, Kaufmann T, Shiroishi M, Wintermark M; American Society of Functional Neuroradiology MR Perfusion Standards and Practice Subcommittee of the ASFNR Clinical Practice Committee. ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain. AJNR Am J Neuroradiol 2015; 36: E41-51.
14. Woodworth GF, Garzon-Muvdi T, Ye X, Blakeley JO, Weingart JD, Burger PC. Histopathological correlates with survival in reoperated glioblastomas. J Neurooncol 2013; 113: 485-493.
15. Yoshii Y. Pathological review of late cerebral radionecrosis. Brain Tumor Pathol 2008; 25: 51-58.
16. Young RJ, Gupta A, Shah AD, Graber JJ, Chan TA, Zhang Z, Beal K, Omuro AM. MRI perfusion in determining pseudoprogression in patients with glioblastoma. Clin Imaging 2013; 37: 41-49.
Copyright: © 2023 Mossakowski Medical Research Centre Polish Academy of Sciences and the Polish Association of Neuropathologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
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