Literature DB >> 21494359

Peritumoral brain edema in meningiomas : correlation of radiologic and pathologic features.

Byung-Won Kim1, Min-Su Kim, Sang-Woo Kim, Chul-Hoon Chang, Oh-Lyong Kim.   

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.

Entities:  

Keywords:  Brain edema; Edema index; Intracranial meningioma; Labeling index

Year:  2011        PMID: 21494359      PMCID: PMC3070891          DOI: 10.3340/jkns.2011.49.1.26

Source DB:  PubMed          Journal:  J Korean Neurosurg Soc        ISSN: 1225-8245


  18 in total

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Journal:  J Comput Assist Tomogr       Date:  1992 May-Jun       Impact factor: 1.826

2.  Peritumoral brain edema in intracranial meningiomas: effects of radiological and histological factors.

Authors:  T Tamiya; Y Ono; K Matsumoto; T Ohmoto
Journal:  Neurosurgery       Date:  2001-11       Impact factor: 4.654

3.  The relationship between peritumoral brain edema and the expression of vascular endothelial growth factor and its receptors in intracranial meningiomas.

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4.  Peritumoural brain oedema in intracranial meningiomas: influence of tumour size, location and histology.

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6.  Brain oedema in patients with intracranial meningioma. Correlation between clinical, radiological, and histological factors and the presence and intensity of oedema.

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Journal:  Acta Neurochir (Wien)       Date:  1996       Impact factor: 2.216

7.  Correlation of clinical and biological parameters with peritumoral edema in meningioma.

Authors:  Sun Ha Paek; Chae-Yong Kim; Young Yim Kim; In Ae Park; Min Seok Kim; Dong Gyu Kim; Hee-Won Jung
Journal:  J Neurooncol       Date:  2002-12       Impact factor: 4.130

8.  Peritumoral brain edema in meningiomas--influence of vascular supply on its development.

Authors:  T Inamura; S Nishio; I Takeshita; S Fujiwara; M Fukui
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9.  The Ki-67 proliferation antigen in meningiomas. Experience in 600 cases.

Authors:  F Roser; M Samii; H Ostertag; M Bellinzona
Journal:  Acta Neurochir (Wien)       Date:  2003-12-22       Impact factor: 2.216

10.  Peritumoral brain edema in meningiomas: correlations between magnetic resonance imaging, angiography, and pathology.

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  32 in total

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2.  Peritumoral Brain Edema in Meningiomas Depends on Aquaporin-4 Expression and Not on Tumor Grade, Tumor Volume, Cell Count, or Ki-67 Labeling Index.

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4.  Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.

Authors:  Omaditya Khanna; Anahita Fathi Kazerooni; Christopher J Farrell; Michael P Baldassari; Tyler D Alexander; Michael Karsy; Benjamin A Greenberger; Jose A Garcia; Chiharu Sako; James J Evans; Kevin D Judy; David W Andrews; Adam E Flanders; Ashwini D Sharan; Adam P Dicker; Wenyin Shi; Christos Davatzikos
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5.  Rapid and Accurate MRI Segmentation of Peritumoral Brain Edema in Meningiomas.

Authors:  F Latini; E-M Larsson; M Ryttlefors
Journal:  Clin Neuroradiol       Date:  2015-11-24       Impact factor: 3.649

6.  Clinical characteristics and treatment of angiomatous meningiomas: a report of 27 cases.

Authors:  Zhiguo Liu; Chuanwei Wang; Hongwei Wang; Yunyan Wang; Jian Yi Li; Yuguang Liu
Journal:  Int J Clin Exp Pathol       Date:  2013-03-15

7.  Peritumoral edema correlates with mutational burden in meningiomas.

Authors:  Corey M Gill; Joshua Loewenstern; John W Rutland; Hanane Arib; Margaret Pain; Melissa Umphlett; Yayoi Kinoshita; Russell B McBride; Joshua Bederson; Michael Donovan; Robert Sebra; Mary Fowkes; Raj K Shrivastava
Journal:  Neuroradiology       Date:  2020-08-12       Impact factor: 2.804

8.  Utility of multiparametric pre-operative magnetic resonance imaging in differentiation of chordoid meningioma from the other histopathological subtypes of meningioma-a retrospective study.

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9.  Peritumoral Brain Edema in Meningiomas May Be Related to Glymphatic Dysfunction.

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Journal:  Front Neurosci       Date:  2021-04-22       Impact factor: 4.677

10.  Surgical Management of Giant Intracranial Meningiomas.

Authors:  Soner Yaşar; Alparslan Kırık
Journal:  Eurasian J Med       Date:  2021-06
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