Literature DB >> 8800322

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

R D Lobato1, R Alday, P A Gómez, J J Rivas, J Domínguez, A Cabrera, S Madero, J Ayerbe.   

Abstract

The authors analysed the correlation between different clinical, radiological, and pathological variables and the presence and intensity of brain oedema associated to intracranial meningioma in 400 consecutive patients studied by computerized tomography (CT). The following factors did not show significant correlation with brain oedema development: the age and sex of the patient, the occurrence of focal deficits, the presence of skull changes (endostosis, exostosis, osteolysis), the occurrence of tumour calcification, the density of the tumour on plain CT scan, the presence of a cystic component, the pathological subtype of meningioma (both conventional and non-conventional), and the presence of histological features of tumour aggressiveness, such as an increased vascularization, high cellularity, high mitotic index, pleomorphism, necrosis, and brain infiltration. Factors showing a statistically significant correlation with the presence and intensity of brain oedema at the bivariate analysis were: the presence of symptoms (p < 0.001), the duration of the clinical history (p < 0.05), the location and size of the tumour (p < 0.001), the type (heterogeneous vs homogeneous), and intensity of tumour contrast enhancement (p < 0.001), the presence of irregular tumour margins (p < 0.001), and the existence of focal low density intratumoural areas (p < 0.001). The multivariate analysis using only clinical parameters showed that the group of variables with the highest power for predicting the presence of brain oedema (concordance level of 76.8%) included: the presence of symptoms, the occurrence of seizures (focal or generalized), the presence of an intracranial hypertension syndrome, and the age of the patient. The multivariate analysis using only anatomico-radiological parameters showed that the model which included the size of the tumour, the intensity of contrast enhancement, the tumour margins, and meningioma location, predicted the presence of brain oedema in 80.8% of the cases. Though the results of the present study do not definitively support any of the major physiopathological theories proposed to explain brain oedema formation in patients with intracranial meningioma, some findings could favour the so-called hydrodynamic theory.

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Year:  1996        PMID: 8800322     DOI: 10.1007/bf01411166

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  43 in total

1.  Computerized tomography scanning appearances of intracranial meningiomas. An attempt to predict the histological features.

Authors:  J Vassilouthis; J Ambrose
Journal:  J Neurosurg       Date:  1979-03       Impact factor: 5.115

2.  The vascular component in meningiomas associated with severe cerebral edema.

Authors:  V R Challa; D M Moody; R B Marshall; D L Kelly
Journal:  Neurosurgery       Date:  1980-10       Impact factor: 4.654

3.  Observation on peritumoural oedema in meningioma. Part I: Distribution, spread and resolution of vasogenic oedema seen on computed tomography.

Authors:  J M Stevens; J S Ruiz; B E Kendall
Journal:  Neuroradiology       Date:  1983       Impact factor: 2.804

4.  Immunohistochemical detection of female sex hormone receptors in meningiomas: correlation with clinical and histological features.

Authors:  A Brandis; S Mirzai; M Tatagiba; G F Walter; M Samii; H Ostertag
Journal:  Neurosurgery       Date:  1993-08       Impact factor: 4.654

5.  Meningiomas associated with peritumoural venous stasis: three types on cerebral angiogram.

Authors:  H Hiyama; O Kubo; Y Tajika; T Tohyama; K Takakura
Journal:  Acta Neurochir (Wien)       Date:  1994       Impact factor: 2.216

6.  Metabolic and hemodynamic aspects of peritumoral low-density areas in human brain tumor.

Authors:  A Hino; Y Imahori; H Tenjin; N Mizukawa; S Ueda; K Hirakawa; H Nakahashi
Journal:  Neurosurgery       Date:  1990-04       Impact factor: 4.654

7.  Estrogen-receptor protein in intracranial meningiomas.

Authors:  M S Donnell; G A Meyer; W L Donegan
Journal:  J Neurosurg       Date:  1979-04       Impact factor: 5.115

8.  Factors affecting the extension of peritumoural brain oedema. A CT-study.

Authors:  H J Reulen; S Graber; P Huber; U Ito
Journal:  Acta Neurochir (Wien)       Date:  1988       Impact factor: 2.216

9.  Atypical computed tomography features of intracranial meningioma: radiological-pathological correlation in a series of 131 consecutive cases.

Authors:  E J Russell; A E George; I I Kricheff; G Budzilovich
Journal:  Radiology       Date:  1980-06       Impact factor: 11.105

10.  Computed tomography of sphenoid wing meningiomas: tumor location related to distal edema.

Authors:  M Fine; P Brazis; E Palacios; G Neri
Journal:  Surg Neurol       Date:  1980-05
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  25 in total

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

Authors:  Byung-Won Kim; Min-Su Kim; Sang-Woo Kim; Chul-Hoon Chang; Oh-Lyong Kim
Journal:  J Korean Neurosurg Soc       Date:  2011-01-31

Review 2.  Pathogenesis of peri-tumoral edema in intracranial meningiomas.

Authors:  Moncef Berhouma; Timothee Jacquesson; Emmanuel Jouanneau; François Cotton
Journal:  Neurosurg Rev       Date:  2017-08-24       Impact factor: 3.042

3.  Secretory meningioma: immunohistochemical findings and evaluation of mast cell infiltration.

Authors:  Wuttipong Tirakotai; Hans-Dieter Mennel; Ilhan Celik; Dieter Hellwig; Helmut Bertalanffy; Thomas Riegel
Journal:  Neurosurg Rev       Date:  2005-07-12       Impact factor: 3.042

4.  Imaging features and classification of peritumoral edema in vestibular schwannoma.

Authors:  Mario Giordano; Venelin Gerganov; Hussam Metwali; Massimo Gallieni; Madjid Samii; Amir Samii
Journal:  Neuroradiol J       Date:  2019-12-16

5.  The contribution of diffusion-weighted MR imaging to distinguishing typical from atypical meningiomas.

Authors:  Bahattin Hakyemez; Nalan Yildirim; Gokhan Gokalp; Cuneyt Erdogan; Mufit Parlak
Journal:  Neuroradiology       Date:  2006-06-20       Impact factor: 2.804

6.  Prediction of Histological Grade and Completeness of Resection of Intracranial Meningiomas: Role of Peritumoural Brain Edema.

Authors:  Kamalanathan Palaniandy; Mohammad Saffari Mohammad Haspani; Norzaini Rose Mohd Zain
Journal:  Malays J Med Sci       Date:  2017-06-30

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

Authors:  Shinji Otsuka; Takashi Tamiya; Yasuhiro Ono; Hiroyuki Michiue; Kazuhiko Kurozumi; Shigeru Daido; Hirokazu Kambara; Isao Date; Takashi Ohmoto
Journal:  J Neurooncol       Date:  2004-12       Impact factor: 4.130

8.  Secretory meningiomas: clinical, radiological and pathological findings in 70 consecutive cases at one institution.

Authors:  Dai-Jun Wang; Qing Xie; Ye Gong; Yin Wang; Hai-Xia Cheng; Ying Mao; Ping Zhong; Feng-Ping Huang; Kang Zheng; Yong-Fei Wang; Wei-Min Bao; Bo-Jie Yang; Hong Chen; Li-Qian Xie; Ming-Zhe Zheng; Hai-Liang Tang; Hong-Da Zhu; Xian-Cheng Chen; Liang-Fu Zhou
Journal:  Int J Clin Exp Pathol       Date:  2013-02-15

9.  Differentiation between classic and atypical meningiomas with use of diffusion tensor imaging.

Authors:  C-H Toh; M Castillo; A M-C Wong; K-C Wei; H-F Wong; S-H Ng; Y-L Wan
Journal:  AJNR Am J Neuroradiol       Date:  2008-06-26       Impact factor: 3.825

10.  Childhood and juvenile meningiomas.

Authors:  Xing Gao; Rong Zhang; Ying Mao; Yin Wang
Journal:  Childs Nerv Syst       Date:  2009-07-30       Impact factor: 1.475

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