Literature DB >> 29701550

Brain invasion and the risk of seizures in patients with meningioma.

Katharina Hess1, Dorothee Cäcilia Spille2, Alborz Adeli3, Peter B Sporns3, Caroline Brokinkel3, Oliver Grauer4, Christian Mawrin5, Walter Stummer2, Werner Paulus1, Benjamin Brokinkel2.   

Abstract

OBJECTIVE: Identification of risk factors for perioperative epilepsy remains crucial in the care of patients with meningioma. Moreover, associations of brain invasion with clinical and radiological variables have been largely unexplored. The authors hypothesized that invasion of the cortex and subsequent increased edema facilitate seizures, and they compared radiological data and perioperative seizures in patients with brain-invasive or noninvasive meningioma.
METHODS: Correlations of brain invasion with tumor and edema volumes and preoperative and postoperative seizures were analyzed in univariate and multivariate analyses.
RESULTS: Totals of 108 (61%) females and 68 (39%) males with a median age of 60 years and harboring totals of 92 (52%) grade I, 79 (45%) grade II, and 5 (3%) grade III tumors were included. Brain invasion was found in 38 (22%) patients and was absent in 138 (78%) patients. The tumors were located at the convexity in 72 (41%) patients, at the falx cerebri in 26 (15%), at the skull base in 69 (39%), in the posterior fossa in 7 (4%), and in the ventricle in 2 (1%); the median tumor and edema volumes were 13.73 cm3 (range 0.81-162.22 cm3) and 1.38 cm3 (range 0.00-355.80 cm3), respectively. As expected, edema volume increased with rising tumor volume (p < 0.001). Brain invasion was independent of tumor volume (p = 0.176) but strongly correlated with edema volume (p < 0.001). The mean edema volume in noninvasive tumors was 33.0 cm3, but in invasive tumors, it was 130.7 cm3 (p = 0.008). The frequency of preoperative seizures was independent of the patients' age, sex, and tumor location; however, the frequency was 32% (n = 12) in patients with invasive meningioma and 15% (n = 21) in those with noninvasive meningioma (p = 0.033). In contrast, the probability of detecting brain invasion microscopically was increased more than 2-fold in patients with a history of preoperative seizures (OR 2.57, 95% CI 1.13-5.88; p = 0.025). In univariate analyses, the rate of preoperative seizures correlated slightly with tumor volume (p = 0.049) but strongly with edema volume (p = 0.014), whereas seizure semiology was found to be independent of brain invasion (p = 0.211). In multivariate analyses adjusted for age, sex, tumor location, tumor and edema volumes, and WHO grade, rising tumor volume (OR 1.02, 95% CI 1.00-1.03; p = 0.042) and especially brain invasion (OR 5.26, 95% CI 1.52-18.15; p = 0.009) were identified as independent predictors of preoperative seizures. Nine (5%) patients developed new seizures within a median follow-up time of 15 months after surgery. Development of postoperative epilepsy was independent of all clinical variables, including Simpson grade (p = 0.133), tumor location (p = 0.936), brain invasion (p = 0.408), and preoperative edema volume (p = 0.081), but was correlated with increasing preoperative tumor volume (p = 0.004). Postoperative seizure-free rates were similar among patients with invasive and those with noninvasive meningioma (p = 0.372).
CONCLUSIONS: Brain invasion was identified as a new and strong predictor for preoperative, but not postoperative, seizures. Although also associated with increased peritumoral edema, seizures in patients with invasive meningioma might be facilitated substantially by cortical invasion itself. Consideration of seizures in consultations between the neurosurgeon and neuropathologist can improve the microscopic detection of brain invasion.

Entities:  

Keywords:  AED = antiepileptic drug; EI = edema index; PTBE = peritumoral brain edema; brain invasion; edema; epilepsy; meningioma; oncology; seizures

Mesh:

Year:  2018        PMID: 29701550     DOI: 10.3171/2017.11.JNS172265

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  13 in total

1.  Brain invasion in meningiomas: does surgical sampling impact specimen characteristics and histology?

Authors:  Maximilian Timme; Christian Thomas; Dorothee Cäcilia Spille; Walter Stummer; Heinrich Ebel; Christian Ewelt; Franz-Josef Hans; Uta Schick; Maximilian Puchner; Uwe Wildförster; Bernhard Bruns; Hans Axel Trost; Markus Holling; Oliver Grauer; Katharina Hess; Benjamin Brokinkel
Journal:  Neurosurg Rev       Date:  2019-06-03       Impact factor: 3.042

2.  Nomogram based on MRI can preoperatively predict brain invasion in meningioma.

Authors:  Jing Zhang; Yuntai Cao; Guojin Zhang; Zhiyong Zhao; Jianqing Sun; Wenyi Li; Jialiang Ren; Tao Han; Junlin Zhou; Kuntao Chen
Journal:  Neurosurg Rev       Date:  2022-09-30       Impact factor: 2.800

Review 3.  Meningioma Related Epilepsy- Pathophysiology, Pre/postoperative Seizures Predicators and Treatment.

Authors:  Rasha Elbadry Ahmed; Hailiang Tang; Anthony Asemota; Lei Huang; Warren Boling; Firas Bannout
Journal:  Front Oncol       Date:  2022-07-04       Impact factor: 5.738

4.  Long-term outcomes of multimodality management for parasagittal meningiomas.

Authors:  Lingyang Hua; Daijun Wang; Hongda Zhu; Jiaojiao Deng; Shihai Luan; Haixia Chen; Shuchen Sun; Hailiang Tang; Qing Xie; Hiroaki Wakimoto; Ye Gong
Journal:  J Neurooncol       Date:  2020-02-22       Impact factor: 4.130

5.  Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging.

Authors:  Alborz Adeli; Katharina Hess; Christian Mawrin; Eileen Maria Susanne Streckert; Walter Stummer; Werner Paulus; André Kemmling; Markus Holling; Walter Heindel; Rene Schmidt; Dorothee Cäcilia Spille; Peter B Sporns; Benjamin Brokinkel
Journal:  Oncotarget       Date:  2018-11-13

6.  Early and Late Postoperative Seizures in Meningioma Patients and Prediction by a Recent Scoring System.

Authors:  Peter Baumgarten; Mana Sarlak; Daniel Monden; Andrea Spyrantis; Simon Bernatz; Florian Gessler; Daniel Dubinski; Elke Hattingen; Gerhard Marquardt; Adam Strzelczyk; Felix Rosenow; Patrick N Harter; Volker Seifert; Thomas M Freiman
Journal:  Cancers (Basel)       Date:  2021-01-25       Impact factor: 6.639

7.  A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features.

Authors:  Ning Li; Yan Mo; Chencui Huang; Kai Han; Mengna He; Xiaolan Wang; Jiaqi Wen; Siyu Yang; Haoting Wu; Fei Dong; Fenglei Sun; Yiming Li; Yizhou Yu; Minming Zhang; Xiaojun Guan; Xiaojun Xu
Journal:  Front Oncol       Date:  2021-10-22       Impact factor: 6.244

8.  Diagnosis of Invasive Meningioma Based on Brain-Tumor Interface Radiomics Features on Brain MR Images: A Multicenter Study.

Authors:  Dongdong Xiao; Zhen Zhao; Jun Liu; Xuan Wang; Peng Fu; Jehane Michael Le Grange; Jihua Wang; Xuebing Guo; Hongyang Zhao; Jiawei Shi; Pengfei Yan; Xiaobing Jiang
Journal:  Front Oncol       Date:  2021-08-20       Impact factor: 6.244

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

Authors:  Jing Zhang; Kuan Yao; Panpan Liu; Zhenyu Liu; Tao Han; Zhiyong Zhao; Yuntai Cao; Guojin Zhang; Junting Zhang; Jie Tian; Junlin Zhou
Journal:  EBioMedicine       Date:  2020-07-30       Impact factor: 8.143

10.  Predicting the risk of postoperative recurrence and high-grade histology in patients with intracranial meningiomas using routine preoperative MRI.

Authors:  Dorothee Cäcilia Spille; Alborz Adeli; Peter B Sporns; Katharina Heß; Eileen Maria Susanne Streckert; Caroline Brokinkel; Christian Mawrin; Werner Paulus; Walter Stummer; Benjamin Brokinkel
Journal:  Neurosurg Rev       Date:  2020-04-23       Impact factor: 3.042

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