Journal of Korean Neurosurgical Society

The Korean Neurosurgical Society (대한신경외과학회)
권호 표지
DOI QR코드

DOI QR Code

Peritumoral Brain Edema in Meningiomas: Correlation of Radiologic and Pathologic Features

  • Kim, Byung-Won (Department of Neurosurgery, Yeungnam University College of Medicine) ;
  • Kim, Min-Su (Department of Neurosurgery, Yeungnam University College of Medicine) ;
  • Kim, Sang-Woo (Department of Neurosurgery, Yeungnam University College of Medicine) ;
  • Chang, Chul-Hoon (Department of Neurosurgery, Yeungnam University College of Medicine) ;
  • Kim, Oh-Lyong (Department of Neurosurgery, Yeungnam University College of Medicine)
  • Received : 2010.05.13
  • Accepted : 2010.12.31
  • Published : 2011.01.28
Download PDF
⟨ Previous Next ⟩

Abstract

Objective: The primary objective of this study was to perform a retrospective evaluation of the radiological and pathological features influencing the formation of peritumoral brain edema (PTBE) in meningiomas. Methods: The magnetic resonance imaging (MRI) and pathology data for 86 patients with meningiomas, who underwent surgery at our institution between September 2003 and March 2009, were examined. We evaluated predictive factors related to peritumoral edema including gender, tumor volume, shape of tumor margin, presence of arachnoid plane, the signal intensity (SI) of the tumor in T2-weighted image (T2WI), the WHO histological classification (GI, GII/GIII) and the Ki-67 antigen labeling index (LI). The edema-tumor volume ratio was calculated as the edema index (EI) and was used to evaluate peritumoral edema. Results: Gender (p=0.809) and pathological finding (p=0.084) were not statistically significantly associated with peritumoral edema by univariate analysis. Tumor volume was not correlated with the volume of peritumoral edema. By univariate analysis, three radiological features, and one pathological finding, were associated with PTBE of statistical significance: shape of tumor margin (p=0.001), presence of arachnoid plane (p=0.001), high SI of tumor in T2WI (p=0.001), and Ki-67 antigen LI (p=0.049). These results suggest that irregular tumor margins, hyperintensity in T2WI, absence of arachnoid plane on the MRI, and high Ki-67 LI can be important predictive factors that influence the formation of peritumoral edema in meningiomas. By multivariate analysis, only SI of the tumor in T2WI was statistically significantly associated with peritumoral edema. Conclusion: Results of this study indicate that irregular tumor margin, hyperintensity in T2WI, absence of arachnoid plane on the MRI, and high Ki-67 LI may be important predictive factors influencing the formation of peritumoral edema in meningiomas.

Keywords

References

  1. Bitzer M, Wöckel L, Morgalla M, Keller C, Friese S, Heiss E, et al. : Peritumoural brain oedema in intracranial meningiomas : influence of tumour size, location and histology. Acta Neurochir (Wien) 139 : 1136-1142, 1997 https://doi.org/10.1007/BF01410973
  2. Crone KR, Challa VR, Kute TE, Moody DM, Kelly DL Jr : Relationship between flow cytometric features and clinical behavior of meningiomas. Neurosurgery 23 : 720-724, 1988 https://doi.org/10.1227/00006123-198812000-00006
  3. Elster AD, Challa VR, Gilbert TH, Richardson DN, Contento JC : Meningiomas : MR and histopathologic features. Radiology 170 : 857-862, 1989 https://doi.org/10.1148/radiology.170.3.2916043
  4. Gilbert JJ, Paulseth JE, Coates RK, Malott D : Cerebral edema associated with meningiomas. Neurosurgery 12 : 599-605, 1983 https://doi.org/10.1227/00006123-198306000-00001
  5. Gurkanlar D, Er U, Sanli M, Ozkan M, Sekerci Z : Peritumoral brain edema in intracranial meningiomas. J Clin Neurosci 12 : 750-753, 2005 https://doi.org/10.1016/j.jocn.2004.09.029
  6. Ide M, Jimbo M, Yamamoto M, Umebara Y, Hagiwara S, Kubo O : MIB-1 staining index and peritumoral brain edema of meningiomas. Cancer 78 : 133-143, 1996 https://doi.org/10.1002/(SICI)1097-0142(19960701)78:1<133::AID-CNCR19>3.0.CO;2-0
  7. Inamura T, Nishio S, Takeshita I, Fujiwara S, Fukui M : Peritumoral brain edema in meningiomas--influence of vascular supply on its development. Neurosurgery 31 : 179-185, 1992 https://doi.org/10.1227/00006123-199208000-00002
  8. Kaplan RD, Coon S, Drayer BP, Bird CR, Johnson PC : MR characteristics of meningioma subtypes at 1.5 tesla. J Comput Assist Tomogr 16 : 366-371, 1992 https://doi.org/10.1097/00004728-199205000-00006
  9. Kim IS, Kim HD, Kim KU, Shin HC, Choin HJ, Kim KH : Factors influencing the development of peritumoral brain edema in menigiomas. J Korean Neurosurg Soc 26 : 940-945, 1997
  10. Lee KJ, Joo WI, Rha HK, Park HK, Chough JK, Hong YK, et al. : Peritumoral brain edema in meningiomas : correlations between magnetic resonance imaging, angiography, and pathology. Surg Neurol 69 : 350-355; discussion 355, 2008 https://doi.org/10.1016/j.surneu.2007.03.027
  11. Lobato RD, Alday R, Gomez PA, Rivas JJ, Domínguez J, Cabrera A, et al. : Brain oedema in patients with intracranial meningioma. Correlation between clinical, radiological, and histological factors and the presence and intensity of oedema. Acta Neurochir (Wien) 138 : 485-493; discussion 493-494, 1996 https://doi.org/10.1007/BF01411166
  12. Nakano T, Asano K, Miura H, Itoh S, Suzuki S : Meningiomas with brain edema : radiological characteristics on MRI and review of the literature. Clin Imaging 26 : 243-249, 2002 https://doi.org/10.1016/S0899-7071(02)00433-3
  13. Nam DH, Lee SK, Whang SH, Shin HJ, Lee JI, Kim JS, et al. : A study of the effects of clinicobiological factors upon the meningioma-associated peritumoral edema formation. J Korean Neurosurg Soc 27 : 453-459, 1998
  14. Otsuka S, Tamiya T, Ono Y, Michiue H, Kurozumi K, Daido S, et al. : The relationship between peritumoral brain edema and the expression of vascular endothelial growth factor and its receptors in intracranial meningiomas. J Neurooncol 70 : 349-357, 2004 https://doi.org/10.1007/s11060-004-9164-4
  15. Paek SH, Kim CY, Kim YY, Park IA, Kim MS, Kim DG, et al. : Correlation of clinical and biological parameters with peritumoral edema in meningioma. J Neurooncol 60 : 235-245, 2002 https://doi.org/10.1023/A:1021186401522
  16. Roser F, Samii M, Ostertag H, Bellinzona M : The Ki-67 proliferation antigen in meningiomas. Experience in 600 cases. Acta Neurochir (Wien) 146 : 37-44; discussion 44, 2004 https://doi.org/10.1007/s00701-003-0173-4
  17. Salpietro FM, Alafaci C, Lucerna S, Iacopino DG, Todaro C, Tomasello F : Peritumoral edema in meningiomas : microsurgical observations of different brain tumor interfaces related to computed tomography. Neurosurgery 35 : 638-641; discussion 641-642, 1994 https://doi.org/10.1227/00006123-199410000-00009
  18. Simis A, Pires de Aguiar PH, Leite CC, Santana PA Jr, Rosemberg S, Teixeira MJ : Peritumoral brain edema in benign meningiomas : correlation with clinical, radiologic, and surgical factors and possible role on recurrence. Surg Neurol 70 : 471-477; discussion 477, 2008 https://doi.org/10.1016/j.surneu.2008.03.006
  19. Tamiya T, Ono Y, Matsumoto K, Ohmoto T : Peritumoral brain edema in intracranial meningiomas : effects of radiological and histological factors. Neurosurgery 49 : 1046-1051; discussion 1051-1052, 2001
  20. Vignes JR, Sesay M, Rezajooi K, Gimbert E, Liguoro D : Peritumoral edema and prognosis in intracranial meningioma surgery. J Clin Neurosci 15 : 764-768, 2008 https://doi.org/10.1016/j.jocn.2007.06.001

Cited by

  1. The Rim Pattern of Meningioma on 3D FLAIR Imaging: Correlation with Tumor-brain Adhesion and Histological Grading vol.13, pp.4, 2014, https://doi.org/10.2463/mrms.2013-0132
  2. Differentiation of Benign Angiomatous and Microcystic Meningiomas with Extensive Peritumoral Edema from High Grade Meningiomas with Aid of Diffusion Weighted MRI vol.2014, pp.None, 2011, https://doi.org/10.1155/2014/650939
  3. Statistical analysis of multi‐b factor diffusion weighted images can help distinguish between vasogenic and tumor‐infiltrated edema vol.40, pp.3, 2011, https://doi.org/10.1002/jmri.24399
  4. Surgical Treatment of Intraspinal Angiomatous Meningiomas from a Single Center vol.55, pp.4, 2015, https://doi.org/10.2176/nmc.oa.2014-0274
  5. Sclerosing Meningioma : Radiological and Clinical Characteristics of 21 Cases vol.59, pp.6, 2016, https://doi.org/10.3340/jkns.2016.59.6.584
  6. Rapid and Accurate MRI Segmentation of Peritumoral Brain Edema in Meningiomas vol.27, pp.2, 2017, https://doi.org/10.1007/s00062-015-0481-0
  7. Degree of Vascular Encasement in Sphenoid Wing Meningiomas Predicts Postoperative Ischemic Complications vol.80, pp.6, 2017, https://doi.org/10.1093/neuros/nyw134
  8. Postoperative seizures in meningioma patients: improving patient selection for antiepileptic drug therapy vol.140, pp.1, 2011, https://doi.org/10.1007/s11060-018-2941-2
  9. Recent advances in managing/understanding meningioma vol.7, pp.None, 2018, https://doi.org/10.12688/f1000research.13674.1
  10. The association between preoperative edema and postoperative cognitive functioning and health-related quality of life in WHO grade I meningioma patients vol.161, pp.3, 2011, https://doi.org/10.1007/s00701-019-03819-2
  11. Dural masses: meningiomas and their mimics vol.10, pp.None, 2019, https://doi.org/10.1186/s13244-019-0697-7
  12. Ki67 Proliferative Index and Peritumoral Brain Edema in Meningiomas: Do They Correlate? A Clinical Study on 56 Patients vol.9, pp.4, 2011, https://doi.org/10.4236/ojmn.2019.94045
  13. Angiomatous Meningioma Presenting with Depression: A Case Report and Literature Review vol.9, pp.1, 2011, https://doi.org/10.4236/crcm.2020.91004
  14. Imaging features and classification of peritumoral edema in vestibular schwannoma vol.33, pp.2, 2011, https://doi.org/10.1177/1971400919896253
  15. Evaluation of Epidemiologic Factors, Radiographic Features, and Pathologic Findings for Predicting Peritumoral Brain Edema in Meningiomas vol.52, pp.1, 2011, https://doi.org/10.1002/jmri.27046
  16. Editorial for: “Evaluation of Epidemiologic Factors, Radiographic Features, and Pathologic Findings for Predicting Peritumoral Brain Edema in Meningiomas” vol.52, pp.1, 2011, https://doi.org/10.1002/jmri.27159
  17. Microcystic Meningiomas: MRI‐Pathologic Correlation vol.30, pp.5, 2011, https://doi.org/10.1111/jon.12743
  18. Changing the paradigm of intracranial hypertension in brain tumor patients: a study based on non-invasive ICP measurements vol.20, pp.1, 2020, https://doi.org/10.1186/s12883-020-01837-7
  19. ACKT: A Proposal for a Novel Score to Predict Prolonged Mechanical Ventilation after Surgical Treatment of Meningioma in Geriatric Patients vol.13, pp.1, 2021, https://doi.org/10.3390/cancers13010098
  20. Imaging diagnosis of basal ganglia germ cell tumors: subtype features subtype imaging features of GCTs vol.94, pp.1122, 2021, https://doi.org/10.1259/bjr.20201453
  21. Asynchrony in Peritumoral Resting-State Blood Oxygen Level-Dependent fMRI Predicts Meningioma Grade and Invasion vol.42, pp.7, 2021, https://doi.org/10.3174/ajnr.a7154
  22. FORGE: A Novel Scoring System to Predict the MIB-1 Labeling Index in Intracranial Meningiomas vol.13, pp.14, 2011, https://doi.org/10.3390/cancers13143643
  23. Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas vol.89, pp.5, 2011, https://doi.org/10.1093/neuros/nyab307
  24. Combining FORGE Score and Histopathological Diagnostic Criteria of Atypical Meningioma Enables Risk Stratification of Tumor Progression vol.11, pp.11, 2011, https://doi.org/10.3390/diagnostics11112011