Invasive meningioma: A tumour with high proliferating and ?recurrence? potential

Suwa, Tomonari; Kawano, Nobuyuki; Oka, Hiroyuki; Ito, Hidefumi; Kameya, T

doi:10.1007/bf01410613

Cited by 8 publications

(2 citation statements)

References 28 publications

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“…In our study, the mean Ki-67 expression level of meningiomas with brain invasion was significantly higher than that in patients without brain invasion. This indicated that the tumour cells proliferated more actively in the brain invasion group, in agreement with published reports [28] , [29] , [30] . However, some authors have reported that brain invasion was not associated with Ki-67 [ 23 , 31 ].…”

Section: Discussionsupporting

confidence: 92%

A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study

Zhang

Yao

et al. 2020

EBioMedicine

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Background Prediction of brain invasion pre-operatively rather than postoperatively would contribute to the selection of surgical techniques, predicting meningioma grading and prognosis. Here, we aimed to predict the risk of brain invasion in meningioma pre-operatively using a nomogram by incorporating radiomic and clinical features. Methods In this case-control study, 1728 patients from Beijing Tiantan Hospital (training cohort: n = 1070) and Lanzhou University Second Hospital (external validation cohort: n = 658) were diagnosed with meningiomas by histopathology. Radiomic features were extracted from the T1-weighted post-contrast and T2-weighted magnetic resonance imaging. The least absolute shrinkage and selection operator was used to select the most informative features of different modalities. The support vector machine algorithm was used to predict the risk of brain invasion. Furthermore, a nomogram was constructed by incorporating radiomics signature and clinical risk factors, and decision curve analysis was used to validate the clinical usefulness of the nomogram. Findings Sixteen features were significantly correlated with brain invasion. The clinicoradiomic model derived from the fusing MRI sequences and sex resulted in the best discrimination ability for risk prediction of brain invasion, with areas under the curves (AUCs) of 0•857 (95% CI, 0•831–0•887) and 0•819 (95% CI, 0•775–0•863) and sensitivities of 72•8% and 90•1% in the training and validation cohorts, respectively. Interpretation Our clinicoradiomic model showed good performance and high sensitivity for risk prediction of brain invasion in meningioma, and can be applied in patients with meningiomas. Funding This work was supported by the (81772006, 81922040); the CAS (grant numbers 2019136); special fund project for doctoral training program of Second Hospital (grant numbers YJS-BD-33).

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Section: Discussionsupporting

confidence: 92%

A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study

Zhang

Yao

et al. 2020

EBioMedicine

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“…In general, the pathological nature of meningioma determines its association with the brain parenchyma, which is that benign meningioma is usually compressive to the brain parenchyma due to its expansive growth, and malignant meningioma is invasive into the neighboring brain parenchyma due to its intrusive growth (5,6). However, clinical observations have indicated that there is a sub-group of benign meningioma displaying a malignant growth pattern, that is, invasion into the neighboring brain tissue (7)(8)(9)(10)(11). This sub-type of meningioma is usually unnoticed prior to surgical resection by the neurosurgeon, which can often result in damage of the neighboring brain tissue.…”

Section: Introductionmentioning

confidence: 99%

Invasive benign meningioma: Clinical characteristics, surgical strategies and outcomes from a single neurosurgical institute

2016

Experimental and Therapeutic Medicine

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Abstract. The aim of the present study was to improve the prognosis for patients with invasive benign meningioma by increasing the precision of pre-operative evaluation and refining the surgical resection strategy. A retrospective review of all the cases of invasive benign meningioma admitted to a single institute from 2005 to 2010 was conducted. The clinical characteristics, magnetic resonance imaging (MRI) findings, refined surgical strategies and outcomes were summarized and analyzed. There were 19 cases of invasive benign meningioma among 254 cases of meningioma. Of the earliest 4 cases, a traditional extra-capsular surgical removal approach was applied, which resulted in permanent neurological deficits for all cases. A modified surgical strategy combining intra-and extra-capsular resection techniques was employed for the subsequent 15 cases, which lead to mild neurological impairment in only 1 case. Pre-operative recognition of this unique sub-type of meningioma maybe facilitated by its typical MRI study findings, and the combination of intra-and extra-capsular resection techniques may be of critical importance in achieving complete tumor removal while maintaining intact neurological functions.

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Expression of androgen receptor in meningiomas

Chen

2001

Current Medical Science

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In order to investigate the expression of androgen receptor (AR) in meningiomas and its relation to tumor proliferative potential, we examined the expression of AR and proliferating cell nuclear antigen (PCNA) by avidine-biotin complex immunohistochemistry in 39 cases of meningiomas. Of the 39 cases of meningiomas, 20(51%) showed positive AR immunoreactivity. The AR expression positivity rates were 31% (6/19) in benign meningiomas, 58% (7/12) in atypical meningiomas, 87.5% (7/8) in malignant meningiomas, respectively. In addition to the tumor cells, cells of microvascular endothelial proliferation were frequently AR positive. Malignant meningiomas had a significantly higher percentage of AR positive cells compared with atypical and benign meningiomas (P < 0.05). The mean proliferating cell nuclear antigen labeling index (PCNA LI) was significantly higher in the malignant meningiomas when compared with atypical meningiomas (P < 0.05) and benign meningiomas (P < 0.05). AR positive meningiomas had higher PCNA LI than AR negative meningiomas (P < 0.05). The expression of AR in tumor tissues was significantly related with PCNA LI. These data indicated that AR in the meningiomas was correlated with histological grade and AR might participate in the growth of these tumors and tumor angiogenesis. The measurement of AR in these tumors may indirectly represent tumor growth potential.

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Invasive meningioma: A tumour with high proliferating and ?recurrence? potential

Cited by 8 publications

References 28 publications

A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study

A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study

Invasive benign meningioma: Clinical characteristics, surgical strategies and outcomes from a single neurosurgical institute

Expression of androgen receptor in meningiomas

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