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Looking through the imaging perspective: the importance of imaging necrosis in glioma diagnosis and prognostic prediction – single centre experience Cover

Looking through the imaging perspective: the importance of imaging necrosis in glioma diagnosis and prognostic prediction – single centre experience

Open Access
|Feb 2024

References

  1. Yee PP, Wei Y, Kim SY, Lu T, Chih SY, Lawson C, et al. Neutrophil-induced ferroptosis promotes tumor necrosis in glioblastoma progression. Nat Commun 2020; 11: 5424. doi: <a href="https://doi.org/10.1038/s41467-020-19193-y" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1038/s41467-020-19193-y</a>
  2. Hou J, Zhao R, Xia W, Chang CW, You Y, Hsu JM, et al. PD-L1-mediated gasdermin C expression switches apoptosis to pyroptosis in cancer cells and facilitates tumour necrosis. Nat Cell Biol 2020; 22: 1264–75. doi: <a href="https://doi.org/10.1038/s41556-020-0575-z" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1038/s41556-020-0575-z</a>
  3. Jiao D, Cai Z, Choksi S, Ma D, Choe M, Kwon HJ, et al. Necroptosis of tumor cells leads to tumor necrosis and promotes tumor metastasis. Cell Res 2018; 28: 868–70. doi: <a href="https://doi.org/10.1038/s41422-018-0058-y" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1038/s41422-018-0058-y</a>
  4. Wen PY, Packer RJ. The 2021 WHO classification of tumors of the central nervous system: clinical implications. Neuro Oncol 2021; 23: 1215–7. doi: <a href="https://doi.org/10.1093/neuonc/noab120" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1093/neuonc/noab120</a>
  5. Shao Y, Xiong S, Sun G, Dou W, Hu X, Yang W, et al. Prognostic analysis of postoperative clinically nonmetastatic renal cell carcinoma. Cancer Med 2020; 9: 959–70. doi: <a href="https://doi.org/10.1002/cam4.2775" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/cam4.2775</a>
  6. Wu CX, Lin GS, Lin ZX, Zhang JD, Chen L, Liu SY, et al. Peritumoral edema on magnetic resonance imaging predicts a poor clinical outcome in malignant glioma. Oncol Lett 2015; 10: 2769–76. doi: <a href="https://doi.org/10.3892/ol.2015.3639" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3892/ol.2015.3639</a>
  7. Seidel C, Dörner N, Osswald M, Wick A, Platten M, Bendszus M, et al. Does age matter? - a MRI study on peritumoral edema in newly diagnosed primary glioblastoma. BMC Cancer 2011; 11: 127. doi: <a href="https://doi.org/10.1186/1471-2407-11-127" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1186/1471-2407-11-127</a>
  8. Pierallini A, Bonamini M, Pantano P, Palmeggiani F, Raguso M, Osti MF, et al. Radiological assessment of necrosis in glioblastoma: variability and prognostic value. Neuroradiology 1998; 40: 150–3. doi: <a href="https://doi.org/10.1007/s002340050556" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s002340050556</a>
  9. Yee PP, Wang J, Chih SY, Aregawi DG, Glantz MJ, Zacharia BE, et al. Temporal radiographic and histological study of necrosis development in a mouse glioblastoma model. Front Oncol 2022; 12: 993649. doi: <a href="https://doi.org/10.3389/fonc.2022.993649" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3389/fonc.2022.993649</a>
  10. Hammoud MA, Sawaya R, Shi W, Thall PF, Leeds NE. Prognostic significance of preoperative MRI scans in glioblastoma multiforme. J Neurooncol 1996; 27: 65–73. doi: <a href="https://doi.org/10.1007/BF00146086" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/BF00146086</a>
  11. Nowosielski M, Gorlia T, Bromberg JEC, Sahm F, Harting I, Kickingereder P, et al. Imaging necrosis during treatment is associated with worse survival in EORTC 26101 study. Neurology 2019; 92: e2754-63–e63. doi: <a href="https://doi.org/10.1212/WNL.0000000000007643" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1212/WNL.0000000000007643</a>
  12. Pope WB, Sayre J, Perlina A, Villablanca JP, Mischel PS, Cloughesy T. MR imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol 2005; 26: 2466–74. PMID: 16286386
  13. Liu S, Wang Y, Xu K, Wang Z, Fan X, Zhang C, et al. Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging. Sci Rep 2017; 7: 8302. doi: <a href="https://doi.org/10.1038/s41598-017-08862-6" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1038/s41598-017-08862-6</a>
  14. Weller M, van den Bent M, Preusser M, Le Rhun E, Tonn JC, Minniti G, et al. Author Correction: EANO guidelines on the diagnosis and treatment of diffuse gliomas of adulthood. Nat Rev Clin Oncol 2022; 19: 357–8. doi: <a href="https://doi.org/10.1038/s41571-022-00623-3" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1038/s41571-022-00623-3</a>
  15. Weller M, van den Bent M, Preusser M, Le Rhun E, Tonn JC, Minniti G, et al. EANO guidelines on the diagnosis and treatment of diffuse gliomas of adulthood. Nat Rev Clin Oncol 2021; 18: 170–86. doi: <a href="https://doi.org/10.1038/s41571-020-00447-z" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1038/s41571-020-00447-z</a>
  16. Waqar M, Lewis D, Agushi E, Gittins M, Jackson A, Coope D. Cerebral and tumoral blood flow in adult gliomas: a systematic review of results from magnetic resonance imaging. Br J Radiol 2021; 94: 20201450. doi: <a href="https://doi.org/10.1259/bjr.20201450" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1259/bjr.20201450</a>
  17. Cha S, Tihan T, Crawford F, Fischbein NJ, Chang S, Bollen A, et al. Differentiation of low-grade oligodendrogliomas from low-grade astrocytomas by using quantitative blood-volume measurements derived from dynamic susceptibility contrast-enhanced MR imaging. AJNR Am J Neuroradiol 2005; 26: 266–73. PMID: 15709123
  18. Hong EK, Choi SH, Shin DJ, Jo SW, Yoo RE, Kang KM, et al. Comparison of genetic profiles and prognosis of high-grade gliomas using quantitative and qualitative MRI features: a focus on G3 gliomas. Korean J Radiol 2021; 22: 233–42. doi: <a href="https://doi.org/10.3348/kjr.2020.0011" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3348/kjr.2020.0011</a>
  19. Shen G, Wang R, Gao B, Zhang Z, Wu G, Pope W. The MRI features and prognosis of gliomas associated with IDH1 mutation: a single center study in southwest China. Front Oncol 2020; 10: 852. doi: <a href="https://doi.org/10.3389/fonc.2020.00852" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3389/fonc.2020.00852</a>
  20. Li Y, Qin Q, Zhang Y, Cao Y. Noninvasive determination of the IDH status of gliomas using MRI and MRI-based Radiomics: impact on diagnosis and prognosis. Curr Oncol 2022; 29: 6893–907. doi: <a href="https://doi.org/10.3390/curroncol29100542" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/curroncol29100542</a>
  21. Cosma I, Tennstedt-Schenk C, Winzler S, Psychogios MN, Pfeil A, Teichgraeber, et al. The role of gadolinium in magnetic resonance imaging for early prostate cancer diagnosis: a diagnostic accuracy study. PLOS ONE 2019; 14: e0227031
  22. ncoronato M, Grimaldi AM, Mirabelli P, Cavaliere C, Parente CA, Franzese M, et al. Circulating miRNAs in untreated breast cancer: an exploratory multimodality morpho-functional study. Cancers 2019; 11: 876. doi: <a href="https://doi.org/10.3390/cancers11060876" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/cancers11060876</a>
  23. Tao WJ, Zhang HX, Zhang LM, Gao F, Huang W, Liu Y, et al. Combined application of pharamcokinetic DCE-MRI and IVIM-DWI could improve detection efficiency in early diagnosis of ductal carcinoma in situ. J Appl Clin Med Phys 2019; 20: 142–50. doi: <a href="https://doi.org/10.1002/acm2.12624." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/acm2.12624.</a>
DOI: https://doi.org/10.2478/raon-2024-0014 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 23 - 32
Submitted on: Sep 19, 2023
Accepted on: Dec 1, 2023
Published on: Feb 21, 2024
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2024 Hui Ma, Shanmei Zeng, Dingxiang Xie, Wenting Zeng, Yingqian Huang, Liwei Mazu, Nengjin Zhu, Zhiyun Yang, Jianping Chu, Jing Zhao, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.