scholarly journals Are there predilection sites for intracranial meningioma? A population-based atlas

Author(s):  
Sayied Abdol Mohieb Hosainey ◽  
David Bouget ◽  
Ingerid Reinertsen ◽  
Lisa Millgård Sagberg ◽  
Sverre Helge Torp ◽  
...  

Abstract Meningioma is the most common benign intracranial tumor and is believed to arise from arachnoid cap cells of arachnoid granulations. We sought to develop a population-based atlas from pre-treatment MRIs to explore the distribution of intracranial meningiomas and to explore risk factors for development of intracranial meningiomas in different locations. All adults (≥ 18 years old) diagnosed with intracranial meningiomas and referred to the department of neurosurgery from a defined catchment region between 2006 and 2015 were eligible for inclusion. Pre-treatment T1 contrast-enhanced MRI-weighted brain scans were used for semi-automated tumor segmentation to develop the meningioma atlas. Patient variables used in the statistical analyses included age, gender, tumor locations, WHO grade and tumor volume. A total of 602 patients with intracranial meningiomas were identified for the development of the brain tumor atlas from a wide and defined catchment region. The spatial distribution of meningioma within the brain is not uniform, and there were more tumors in the frontal region, especially parasagittally, along the anterior part of the falx, and on the skull base of the frontal and middle cranial fossa. More than 2/3 meningioma patients were females (p < 0.001) who also were more likely to have multiple meningiomas (p < 0.01), while men more often have supratentorial meningiomas (p < 0.01). Tumor location was not associated with age or WHO grade. The distribution of meningioma exhibits an anterior to posterior gradient in the brain. Distribution of meningiomas in the general population is not dependent on histopathological WHO grade, but may be gender-related.

2021 ◽  
Author(s):  
Sayied Abdol Mohieb Hosainey ◽  
David Bouget ◽  
Ingerid Reinertsen ◽  
Lisa Millgård Sagberg ◽  
Sverre Helge Torp ◽  
...  

Abstract Meningioma is the most common benign intracranial tumor and is believed to arise from arachnoid cap cells of arachnoid granulations. We sought to develop a population-based based atlas from pre-treatment MRIs to explore the distribution of intracranial meningiomas. All adults (≥ 18 years old) diagnosed with intracranial meningiomas and referred to a department of neurosurgery from a defined catchment region between 2006 and 2015 were eligible for inclusion. Pre-treatment T1 contrast-enhanced MRI weighted brain scans were used for semi-automated tumor segmentation to develop the meningioma atlas. Patient variables used in the statistical analyses included age, gender, tumor locations, WHO grade and tumor volume. A total of 602 patients with intracranial meningiomas were identified. The spatial distribution of meningioma within the brain is not uniform and there were more tumors in the frontal region, especially parasagittally, along the anterior part of the falx, and on the skull base of the frontal and middle cranial fossa. More than 2/3 meningioma patients were females (p < 0.001) who also were more likely to have multiple meningiomas (p < 0.01), while men more often have supratentorial meningiomas (p < 0.01). Tumor location was not associated with age or WHO grade. The distribution of meningioma exhibit an anterior to posterior gradient in the brain. Distribution of meningiomas is not dependent on histopathological WHO grade, but may be gender related.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18237-e18237
Author(s):  
Akie Watanabe ◽  
Charlie Yang ◽  
Winson Y. Cheung

e18237 Background: Toxicities acquired from AC can impact quality of life. Baseline patient characteristics such as age, sex, ECOG, tumor location, TNM staging, and comorbidities are frequently considered in AC treatment decision-making, but their associations with common toxicity outcomes remain unclear. Methods: We used a population-based cohort of CRC patients to test our hypothesis. We reviewed individuals treated with adjuvant monotherapy (Capecitabine) or combination therapy (FOLFOX or CAPOX) within 12 weeks of curative resection at any 1 of 6 cancer centers in British Columbia, and determined the associations between baseline characteristics and toxicity outcomes. Results: Among 371 patients, median age was 65 (range 26-86) years, 51.5% were men, and 14% were ECOG ≥2. In this cohort, 41% received monotherapy and 59% received combination therapy. For monotherapy, univariate analyses found that age, sex, ECOG, and pre-treatment anemia were associated with hematological toxicities ( P < 0.05). Likewise, tumor location and TNM staging were associated with gastrointestinal (GI) toxicities ( P < 0.05). On multivariate analyses, hematological toxicities were more likely to develop with old age (≥70) (OR 3.30, 95% CI 1.17-9.37, P= 0.025) and pre-treatment anemia (OR 23.18, 95% CI 6.36-84.48, P= 0.001), while GI toxicities were less likely to occur with a left-sided tumor (OR 0.38, 95% CI 0.15-0.99, P= 0.047). In univariate analyses of combination therapy, sex and pre-treatment anemia were also associated with hematological toxicities, while cardiac and/or respiratory comorbidities were associated with neuropathy ( P < 0.05). In multivariate analyses, however, only female sex was predictive of hematological toxicities (OR 5.13, 95% CI 2.08-12.68, P= 0.001) and neuropathy was less likely to develop with cardiac and/or respiratory comorbidities (OR 0.23, 95% CI 0.07-0.81, P= 0.023). Further analyses did not show any consistent correlations between other baseline characteristics and toxicity outcomes. Conclusions: Readily available baseline patients characteristics are associated with the development of specific side effects, which can be used to better inform AC discussions.


2021 ◽  
Author(s):  
Vitit Lekhavat ◽  
Kan Radeesri

Abstract Introduction: High histological grade (WHO grade II and III) intracranial meningiomas have been linked to greater risk for tumor recurrence and worse clinical outcomes compared to low-grade (WHO grade I) tumors. Preoperative magnetic resonance imaging (MRI) plays a crucial role tumor evaluation prior to decisions regarding management and allows for a better understanding of the tumor grading, which could potentially alter clinical outcomes. The present study sought to determine whether preoperative MRI features of intracranial meningiomas can serve as predictors of high-grade tumors.Methods: This study retrospectively reviewed 327 confirmed cases of intracranial meningiomas, among whom 210 (64.2%) had available preoperative MRI studies. Thereafter, data were analyzed using univariate and multivariate analyses.Results: Accordingly, multivariate analysis found that peritumoral brain edema and the presence of necrosis or hemorrhage were predictors of high-grade tumors, whereas hyperostosis was a predictor of low-grade tumors.Conclusions: Our study suggested that preoperative MRI features could potentially assist in decision-making regarding the appropriate management and surgical approach in order to achieve the desired clinical outcomes.


2018 ◽  
Vol 44 (6) ◽  
pp. E14 ◽  
Author(s):  
Karan M. Kohli ◽  
Joshua Loewenstern ◽  
Remi A. Kessler ◽  
Margaret Pain ◽  
Christina A. Palmese ◽  
...  

OBJECTIVEWith increasing general use of antidepressants (ADs), multiple studies have noted a small protective effect of ADs for patients with glioma, but their impact on meningioma has not been established. This study aims to evaluate the role of ADs in the context of additional clinical factors in relation to long-term risk of meningioma recurrence.METHODSOne hundred five patients with an intracranial meningioma presenting from 2011–2014 with at least 3 years of follow-up (median 4.2 years) after resection were reviewed. AD use along with demographics, tumor characteristics, and outcomes were recorded. Multivariate logistic regression was used to analyze the association of AD use with tumor recurrence, including other clinical measures significantly associated with recurrence as covariates.RESULTSTwenty-nine patients (27.4%) were taking ADs (27 selective serotonin reuptake inhibitors, 2 norepinephrine-dopamine reuptake inhibitors) prior to tumor recurrence. Their tumors largely affected the frontal (31.0%) or parietal lobe (17.2%) and were located in convexity, parasagittal, or falcine (CPF) areas more frequently than skull base areas relative to the tumors of non-AD users (p = 0.035). AD use was found to be an independent predictor of recurrence, in addition to subtotal resection and WHO grade II/III classification (p values < 0.05). The median time from AD prescription to tumor recurrence was 36.6 months (interquartile range [IQR] = 20.9–62.9 months) and median length of AD use was 41.4 months (IQR = 24.7–62.8 months).CONCLUSIONSAD use was an independent predictor of meningioma recurrence. This association may be due to mood or affective changes caused by tumor location in CPF regions that may be a sign of early recurrence. The finding calls attention to AD use in the management of patients with meningioma, and warrants further exploration of an underlying relationship.


2020 ◽  
pp. 1-8 ◽  
Author(s):  
Colin J. Przybylowski ◽  
Xiaochun Zhao ◽  
Jacob F. Baranoski ◽  
Leandro Borba Moreira ◽  
Sirin Gandhi ◽  
...  

OBJECTIVEThe controversy continues over the clinical utility of preoperative embolization for reducing tumor vascularity of intracranial meningiomas prior to resection. Previous studies comparing embolization and nonembolization patients have not controlled for detailed tumor parameters before assessing outcomes.METHODSThe authors reviewed the cases of all patients who underwent resection of a WHO grade I intracranial meningioma at their institution from 2008 to 2016. Propensity score matching was used to generate embolization and nonembolization cohorts of 52 patients each, and a retrospective review of clinical and radiological outcomes was performed.RESULTSIn total, 52 consecutive patients who underwent embolization (mean follow-up 34.8 ± 31.5 months) were compared to 52 patients who did not undergo embolization (mean follow-up 32.8 ± 28.7 months; p = 0.63). Variables controlled for included patient age (p = 0.82), tumor laterality (p > 0.99), tumor location (p > 0.99), tumor diameter (p = 0.07), tumor invasion into a major dural sinus (p > 0.99), and tumor encasement around the internal carotid artery or middle cerebral artery (p > 0.99). The embolization and nonembolization cohorts did not differ in terms of estimated blood loss during surgery (660.4 ± 637.1 ml vs 509.2 ± 422.0 ml; p = 0.17), Simpson grade IV resection (32.7% vs 25.0%; p = 0.39), perioperative procedural complications (26.9% vs 19.2%; p = 0.35), development of permanent new neurological deficits (5.8% vs 7.7%; p = 0.70), or favorable modified Rankin Scale (mRS) score (a score of 0–2) at last follow-up (96.0% vs 92.3%; p = 0.43), respectively. When comparing the final mRS score to the preoperative mRS score, patients in the embolization group were more likely than patients in the nonembolization group to have an improvement in mRS score (50.0% vs 28.8%; p = 0.03).CONCLUSIONSAfter controlling for patient age, tumor size, tumor laterality, tumor location, tumor invasion into a major dural sinus, and tumor encasement of the internal carotid artery or middle cerebral artery, preoperative meningioma embolization intended to decrease tumor vascularity did not improve the surgical outcomes of patients with WHO grade I intracranial meningiomas, but it did lead to a greater chance of clinical improvement compared to patients not treated with embolization.


Author(s):  
Zaid Aljuboori ◽  
Ahmad Alhourani ◽  
Shiao Woo ◽  
Eyas Hattab ◽  
Mehran Yusuf ◽  
...  

Abstract Objective Intracranial meningiomas are the most common primary brain tumor. Treatment paradigms have evolved over time. There are limited number of population-based studies that examine this modern evolution. Here, we describe the trends of management of intracranial meningiomas using a national database. Methods The data were obtained from the National Cancer Database for the years 2004 to 2015, the collected variables included: patients' age, gender, insurance type, income, comorbidity score, the tumor size and grade, and treatment modality (observation, surgery, radiotherapy, or combination therapy). We performed statistical analyses to detect association between unique variables and outcomes. In addition, we performed mortality analyses for various treatment modalities. Results A total of 199,096 patients with a diagnosis of intracranial meningioma were included, the majority of patients were white females, mean age of 61 years, and half of the tumors were ≤ 3 cm. Observation was the most commonly used management modality followed by surgical resection, radiotherapy, and combination therapy. For the entire time period, there was an increased use of observation as a primary management method. Predictors of mortality included increased age, larger tumor size, higher tumor grade, treatment at a community hospital, and higher comorbidity scores. Conclusion Population-based studies of intracranial meningiomas are uncommon; our study is one of the few reports that examine the changes in the modern management paradigms of meningioma in the United States over time. Additionally, we shed light on the factors that affected survival of patients with this condition.


2020 ◽  
Author(s):  
Zaid Aljuboori ◽  
Ahmad Alhourani ◽  
Alexandra Schaber ◽  
Shiao Woo ◽  
Eyas Hattab ◽  
...  

2020 ◽  
Vol 10 ◽  
Author(s):  
Yuki Kuranari ◽  
Ryota Tamura ◽  
Noboru Tsuda ◽  
Kenzo Kosugi ◽  
Yukina Morimoto ◽  
...  

BackgroundMeningiomas are the most common benign intracranial tumors. However, even WHO grade I meningiomas occasionally show local tumor recurrence. Prognostic factors for meningiomas have not been fully established. Neutrophil-to-lymphocyte ratio (NLR) has been reported as a prognostic factor for several solid tumors. The prognostic value of NLR in meningiomas has been analyzed in few studies.Materials and MethodsThis retrospective study included 160 patients who underwent surgery for meningiomas between October 2010 and September 2017. We analyzed the associations between patients’ clinical data (sex, age, primary/recurrent, WHO grade, extent of removal, tumor location, peritumoral brain edema, and preoperative laboratory data) and clinical outcomes, including recurrence and progression-free survival (PFS).ResultsForty-four meningiomas recurred within the follow-up period of 3.8 years. WHO grade II, III, subtotal removal, history of recurrence, Ki-67 labeling index ≥3.0, and preoperative NLR value ≥2.6 were significantly associated with shorter PFS (P &lt; 0.001, &lt; 0.001, 0.002, &lt; 0.001, and 0.015, respectively). Furthermore, NLR ≥ 2.6 was also significantly associated with shorter PFS in a subgroup analysis of WHO grade I meningiomas (P = 0.003). In univariate and multivariate analyses, NLR ≥2.6 remained as a significant predictive factor for shorter PFS in patients with meningioma (P = 0.014).ConclusionsNLR may be a cost-effective and novel preoperatively usable biomarker in patients with meningiomas.


2021 ◽  
Vol 11 (1) ◽  
pp. 380-390
Author(s):  
Pradipta Kumar Mishra ◽  
Suresh Chandra Satapathy ◽  
Minakhi Rout

Abstract Segmentation of brain image should be done accurately as it can help to predict deadly brain tumor disease so that it can be possible to control the malicious segments of brain image if known beforehand. The accuracy of the brain tumor analysis can be enhanced through the brain tumor segmentation procedure. Earlier DCNN models do not consider the weights as of learning instances which may decrease accuracy levels of the segmentation procedure. Considering the above point, we have suggested a framework for optimizing the network parameters such as weight and bias vector of DCNN models using swarm intelligent based algorithms like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Gray Wolf Optimization (GWO) and Whale Optimization Algorithm (WOA). The simulation results reveals that the WOA optimized DCNN segmentation model is outperformed than other three optimization based DCNN models i.e., GA-DCNN, PSO-DCNN, GWO-DCNN.


Author(s):  
Even Hovig Fyllingen ◽  
Lars Eirik Bø ◽  
Ingerid Reinertsen ◽  
Asgeir Store Jakola ◽  
Lisa Millgård Sagberg ◽  
...  

Abstract Purpose Previous studies on the effect of tumor location on overall survival in glioblastoma have found conflicting results. Based on statistical maps, we sought to explore the effect of tumor location on overall survival in a population-based cohort of patients with glioblastoma and IDH wild-type astrocytoma WHO grade II–III with radiological necrosis. Methods Patients were divided into three groups based on overall survival: < 6 months, 6–24 months, and > 24 months. Statistical maps exploring differences in tumor location between these three groups were calculated from pre-treatment magnetic resonance imaging scans. Based on the results, multivariable Cox regression analyses were performed to explore the possible independent effect of centrally located tumors compared to known prognostic factors by use of distance from center of the third ventricle to contrast-enhancing tumor border in centimeters as a continuous variable. Results A total of 215 patients were included in the statistical maps. Central tumor location (corpus callosum, basal ganglia) was associated with overall survival < 6 months. There was also a reduced overall survival in patients with tumors in the left temporal lobe pole. Tumors in the dorsomedial right temporal lobe and the white matter region involving the left anterior paracentral gyrus/dorsal supplementary motor area/medial precentral gyrus were associated with overall survival > 24 months. Increased distance from center of the third ventricle to contrast-enhancing tumor border was a positive prognostic factor for survival in elderly patients, but less so in younger patients. Conclusions Central tumor location was associated with worse prognosis. Distance from center of the third ventricle to contrast-enhancing tumor border may be a pragmatic prognostic factor in elderly patients.


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