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Sanikommu S, Panchawagh S, Eatz T, Lu VM, Rodrigues PB, Abdelsalam A, Gurses ME, Cummings A, Uppalapati V, Akurati S, Kondoor V, Komotar RJ, Ivan ME. Recurrence of atypical and anaplastic intracranial Meningiomas: A meta-analysis of risk factors. Clin Neurol Neurosurg 2024; 244:108450. [PMID: 39018991 DOI: 10.1016/j.clineuro.2024.108450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024]
Abstract
BACKGROUND The predictive role of multiple risk factors for intracranial atypical and anaplastic meningioma recurrence is convoluted. This meta-analysis assessed the predictive value of selected factors for recurrence in these Meningiomas. METHODS Studies encompassing risk factor data including gross total resection (GTR), subtotal resection (STR), post-op radiotherapy, Ki-67 % index >3 %, and location were searched for in PubMed, Embase, and Web of Science, and thereafter analyzed using robust Bayesian meta-analysis. RESULTS Eighteen observational studies involving 1589 patients met inclusion criteria for analysis. GTR was identified as a good prognostic factor for recurrence (OR = 0.212; 95 % CI (-1.972, -1.002); heterogeneity BF=0.702), and STR had a significantly higher risk of recurrence (OR = 4.43; 95 % CI 0.658-2.011; heterogeneity BF=0.724). Post-operative radiotherapy did not statistically significantly affect the recurrence process (OR = 1.02; 95 % CI (-1.848, 0.626); heterogeneity (BF=1.034)). Ki67 % index >3 % had an augmented chance of recurrence (OR = 2.38; 95 % CI (-0.220, 2.355); heterogeneity (BF=1.162)). A meta-regression analysis showed that WHO grade III Meningiomas had a higher chance of recurring than grade II Meningiomas. CONCLUSION Among the selected factors, STR and Ki67 % index > 3 % were associated with a higher risk of recurrence, with post-operative radiotherapy making no difference. GTR appeared to inversely impact recurrence. Compared to grade II, grade III Meningiomas had higher odds of recurring.
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Affiliation(s)
- Sai Sanikommu
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA.
| | - Suhrud Panchawagh
- Smt. Kashibai Navale Medical College and General Hospital, Pune, Maharashtra, India
| | - Tiffany Eatz
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | - Victor M Lu
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | | | - Ahmed Abdelsalam
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | - Muhammet Enes Gurses
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | | | - Venkat Uppalapati
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | - Sneha Akurati
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | - Vishaal Kondoor
- Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Ricardo Jorge Komotar
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
| | - Michael E Ivan
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA
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Iwata T, Hirayama R, Yamada S, Kijima N, Okita Y, Kagawa N, Kishima H. Automated volumetry of meningiomas in contrast-enhanced T1-Weighted MRI using deep learning. World Neurosurg X 2024; 22:100353. [PMID: 38455247 PMCID: PMC10918322 DOI: 10.1016/j.wnsx.2024.100353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 02/21/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Meningiomas are among the most common intracranial tumors. In these tumors, volumetric assessment is not only important for planning therapeutic intervention but also for follow-up examination.However, a highly accurate automated volumetric method for meningiomas using single-modality magnetic resonance imaging (MRI) has not yet been reported. Here, we aimed to develop a deep learning-based automated volumetry method for meningiomas in MRI and investigate its accuracy and potential clinical applications. METHODS For deep learning, we used MRI images of patients with meningioma who were referred to Osaka University Hospital between January 2007 and October 2020. Imaging data of eligible patients were divided into three non-overlapping groups: training, validation, and testing. The model was trained and tested using the leave-oneout cross-validation method. Dice index (DI) and root mean squared percentage error (RMSPE) were measured to evaluate the model accuracy. Result: A total of 178 patients (64.6 ± 12.3 years [standard deviation]; 147 women) were evaluated. Comparison of the deep learning model and manual segmentation revealed a mean DI of 0.923 ± 0.051 for tumor lesions. For total tumor volume, RMSPE was 9.5 ± 1.2%, and Mann-Whitney U test did not show a significant difference between manual and algorithm-based measurement of the tumor volume (p = 0.96). CONCLUSION The automatic tumor volumetry algorithm developed in this study provides a potential volume-based imaging biomarker for tumor evaluation in the field of neuroradiological imaging, which will contribute to the optimization and personalization of treatment for central nervous system tumors in the near future.
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Affiliation(s)
- Takamitsu Iwata
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Ryuichi Hirayama
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Shuhei Yamada
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Noriyuki Kijima
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Yoshiko Okita
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Naoki Kagawa
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Haruhiko Kishima
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
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Mahgerefteh N, Mozaffari K, Teton Z, Malkhasyan Y, Kim K, Yang I. Incidental Meningiomas: Potential Predictors of Growth and Current State of Management. Neurosurg Clin N Am 2023; 34:347-369. [PMID: 37210125 DOI: 10.1016/j.nec.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
The rise in availability of neuroimaging has led to an increase in incidentally discovered meningiomas. These tumors are typically asymptomatic and tend to display slow growth. Treatment options include observation with serial monitoring, radiation, and surgery. Although optimal management is unclear, clinicians recommend a conservative approach, which preserves quality of life and limits unnecessary intervention. Several risk factors have been investigated for their potential utility in the development of prognostic models for risk assessment. Herein, the authors review the current literature on incidental meningiomas, focusing their discussion on potential predictive factors for tumor growth and appropriate management practices.
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Affiliation(s)
- Natalie Mahgerefteh
- Department of Neurosurgery, University of California, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA
| | - Khashayar Mozaffari
- Department of Neurosurgery, University of California, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA
| | - Zoe Teton
- Department of Neurosurgery, University of California, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA
| | - Yelena Malkhasyan
- Department of Neurosurgery, University of California, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA
| | - Kihong Kim
- Department of Neurosurgery, University of California, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA
| | - Isaac Yang
- Department of Neurosurgery, University of California, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA; Department of Radiation Oncology, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA; Department of Head and Neck Surgery, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA; Jonsson Comprehensive Cancer Center, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA; Los Angeles Biomedical Research Institute, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA; Harbor-UCLA Medical Center, 300 Stein Plaza, Suite 562, Los Angeles, CA 90095-1761, USA; David Geffen School of Medicine, Los Angeles, 100 West Carson Street, Torrance, CA 90502, USA.
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Dincer A, Morales-Valero SF, Robert SM, Tabor JK, O'Brien J, Yalcin K, Fulbright RK, Erson-Omay Z, Dunn IF, Moliterno J. Surgical strategies for intracranial meningioma in the molecular era. J Neurooncol 2023; 162:253-265. [PMID: 37010677 PMCID: PMC10167142 DOI: 10.1007/s11060-023-04272-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 02/16/2023] [Indexed: 04/04/2023]
Abstract
INTRODUCTION Surgical resection has long been the treatment of choice for meningiomas and is considered curative in many cases. Indeed, the extent of resection (EOR) remains a significant factor in determining disease recurrence and outcome optimization for patients undergoing surgery. Although the Simpson Grading Scale continues to be widely accepted as the measure of EOR and is used to predict symptomatic recurrence, its utility is under increasing scrutiny. The influence of surgery in the definitive management of meningioma is being re-appraised considering the rapid evolution of our understanding of the biology of meningioma. DISCUSSION Although historically considered "benign" lesions, meningioma natural history can vary greatly, behaving with unexpectedly high recurrence rates and growth which do not always behave in accordance with their WHO grade. Histologically confirmed WHO grade 1 tumors may demonstrate unexpected recurrence, malignant transformation, and aggressive behavior, underscoring the molecular complexity and heterogeneity. CONCLUSION As our understanding of the clinical predictive power of genomic and epigenomic factors matures, we here discuss the importance of surgical decision-making paradigms in the context of our rapidly evolving understanding of these molecular features.
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Affiliation(s)
- Alper Dincer
- Department of Neurosurgery, Tufts Medical Center, Boston, MA, USA
| | - Saul F Morales-Valero
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Stephanie M Robert
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Joanna K Tabor
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Joseph O'Brien
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Kanat Yalcin
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Robert K Fulbright
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Zeynep Erson-Omay
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA
| | - Ian F Dunn
- Department of Neurosurgery, Oklahoma University Medical Center, Oklahoma City, OK, USA
| | - Jennifer Moliterno
- Department of Neurosurgery, Yale School of Medicine, 15 York Street, LLCI 810, New Haven, CT, 06510, USA.
- The Chenevert Family Brain Tumor Center, Smilow Cancer Hospital, New Haven, CT, USA.
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Huang Z, Dai D, Tang G. Rare magnetic resonance imaging findings of intracranial solitary fibrous tumor: A case report. Medicine (Baltimore) 2022; 101:e31355. [PMID: 36281132 PMCID: PMC9592362 DOI: 10.1097/md.0000000000031355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
RATIONALE Solitary fibrous tumor (SFT) is a rare mesenchymal spindle cell tumor. SFT in the central nervous system (CNS) is rare. This case reports rare magnetic resonance imaging (MRI) findings of intracranial SFT (ISFT). PATIENT CONCERNS We report a 47-year-old female patient who was found to have weakness in her right limb with walking instability 2 months before the visit. DIAGNOSES Based on imaging, the provisional diagnosis was meningioma. Postsurgical histopathological diagnosis confirmed World Health Organization (WHO) grade I SFT/hemangiopericytoma (HPC). INTERVENTIONS The lesion was totally excised. The patient improved remarkably after the operation, without any signs of associated limb movement disorder. OUTCOMES No local recurrence or metastases were observed in the follow-up 3 months after the surgery. LESSONS Intracranial SFT is a rare mesenchymal tumor. Due to different tumor components, imaging manifestations are diverse and lack of characteristics, so preoperative diagnosis is challenging. Our case provides a rare ISFT with significantly decreased signal intensity in T2 weighted images (T2WI), which is an important supplement to the rare imaging findings of intracranial SFT.
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Affiliation(s)
- Zhicheng Huang
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Dongqin Dai
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Guangcai Tang
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- * Correspondence: Guangcai Tang, Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, China (e-mail: )
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Ashizawa K, Ogura K, Nagase S, Sakaguchi A, Tokugawa J, Hishii M, Fukunaga M, Hirose T, Matsumoto T. A collision tumor of solitary fibrous tumor/hemangiopericytoma and meningioma: A case report with literature review. Pathol Int 2021; 71:697-706. [PMID: 34411369 DOI: 10.1111/pin.13150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 07/26/2021] [Indexed: 11/28/2022]
Abstract
An intracranial collision tumor is a rare lesion composed of two histologically different neoplasms in the same anatomic location. Even more rare is the collision tumor of a solitary fibrous tumor/hemangiopericytoma (SFT/HPC) and meningioma. The patient was a 46-year-old woman who had a 40 × 35 × 30-mm mass in the vermis of the cerebellum. Histologically, the mass consisted of two different components. One component showed the morphology of meningioma (World Health Organization (WHO) grade I), and the other component exhibited small round cell proliferation with hypercellular density, which was revealed to be SFT/HPC (WHO grade III) based on STAT6 immunohistochemistry. STAT6 showed completely different immunohistochemistry results in these two components (nuclear-negative in meningioma and nuclear-positive in SFT/HPC). Since these two neoplasms are associated with different prognoses, they should be distinguished from each other. When meningioma and an SFT/HPC-like lesion are identified morphologically, it is important to recognize the presence of such a collision tumor composed of meningioma and SFT/HPC, and identify the SFT/HPC component by employing STAT6 immunohistochemistry.
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Affiliation(s)
- Karin Ashizawa
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Kanako Ogura
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Shunsuke Nagase
- Department of Human Pathology, Juntendo University School of Medicine, Tokyo, Japan
| | - Asumi Sakaguchi
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Joji Tokugawa
- Department of Neurosurgery, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Makoto Hishii
- Department of Neurosurgery, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Masaharu Fukunaga
- Department of Pathology, Shin-Yurigaoka General Hospital, Kanagawa, Japan
| | - Takanori Hirose
- Department of Diagnostic Pathology, Hyogo Cancer Center, Hyogo, Japan.,Division of Pathology for Regional Communication, Kobe University School of Medicine, Hyogo, Japan
| | - Toshiharu Matsumoto
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, Tokyo, Japan
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Clear cell histology portends a worse prognosis than other WHO grade II histologies. J Neurooncol 2021; 151:307-312. [PMID: 33398533 DOI: 10.1007/s11060-020-03668-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 11/23/2020] [Accepted: 11/25/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE Clear cell meningioma (CCM) is a rare WHO grade II meningioma variant, characterized by aggressive features and a high tumor recurrence rate. In this study, we compared overall and progression-free survivals between CCMs and other WHO grade II meningiomas. METHODS A retrospective institutional database review was performed to identify all patients who underwent surgical resection of a WHO grade II meningioma between 1997 and 2019. Overall survival and progression-free survival were compared between patients with clear cell meningiomas and patients with other WHO grade II meningiomas. Multivariable Cox proportional-hazards analysis was used to identify independent predictors of tumor recurrence and survival. RESULTS We included a total of 214 patients in this study (43 CCMs, 171 other WHO grade II meningiomas). Patients with CCMs had significantly shorter progression-free (p = 0.001) and overall (p = 0.026) survivals than patients with other grade II meningiomas. In multivariable analysis, clear cell histology was a significant and powerful independent predictor of tumor recurrence (HR 1.93; 95% CI 1.14-3.26) when controlling for tumor location, extent of resection, and adjuvant radiation. In multivariable analysis, clear cell histology correlated with increased mortality (HR 1.96, 95% CI 0.97-3.94), though this was not statistically significant. CONCLUSION This is the first study to compare overall and progression-free survivals between CCMs and other WHO grade II meningiomas. Clear cell histology predicts a higher risk of tumor recurrence and mortality than other grade II histologies. Future studies may help to understand the impact of these findings and the treatment implications.
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Garzon-Muvdi T, Bailey DD, Pernik MN, Pan E. Basis for Immunotherapy for Treatment of Meningiomas. Front Neurol 2020; 11:945. [PMID: 32982948 PMCID: PMC7483661 DOI: 10.3389/fneur.2020.00945] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 07/21/2020] [Indexed: 12/15/2022] Open
Abstract
Meningiomas are common tumors that account for approximately one third of CNS tumors diagnosed every year. They are classified by the World Health Organization in grades I-III. Higher grades have an increased rate of growth, invasiveness, rate of recurrence, and worse outcomes than lower grades. Most meningiomas are grade I, while ~18% of meningiomas are grade II and III in hospital-based series. Meningiomas are typically "benign" tumors that are treated with surgery and radiation. However, when they recur or are unresectable, treatment options are very limited, especially since they are chemotherapy-resistant. Recent advances in the treatment of cancers with immunotherapy have focused on checkpoint blockade as well as other types of immunotherapy. There is emerging evidence supporting the use of immunotherapy as a potentially effective treatment strategy for meningioma patients. The immune microenvironment of meningiomas is a complex interplay of genetic alterations, immunomodulatory protein expression, and tumor-immune cell interactions. Meningiomas are known to be infiltrated by immune cells including microglia, macrophages, B-cells, and T-cells. Several mechanisms contribute to decreased an ti-tumor immune response, allowing tumor growth and evasion of the immune system. We discuss the most current knowledge on the immune micro-environment of meningiomas, preclinical findings of immunotherapy in meningiomas, meningioma immunotherapy clinical trials, and also offer insight into future prospects for immunotherapies in meningiomas.
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Affiliation(s)
- Tomas Garzon-Muvdi
- Department of Neurosurgery, UT Southwestern Medical Center, Dallas, TX, United States
| | - Destiny D. Bailey
- Department of Neurosurgery, UT Southwestern Medical Center, Dallas, TX, United States
| | - Mark N. Pernik
- Department of Neurosurgery, UT Southwestern Medical Center, Dallas, TX, United States
| | - Edward Pan
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, United States
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Clinical and Radiographic Features for Differentiating Solitary Fibrous Tumor/Hemangiopericytoma From Meningioma. World Neurosurg 2019; 130:e383-e392. [DOI: 10.1016/j.wneu.2019.06.094] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/11/2019] [Accepted: 06/12/2019] [Indexed: 11/24/2022]
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10
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Lam Shin Cheung V, Kim A, Sahgal A, Das S. Meningioma recurrence rates following treatment: a systematic analysis. J Neurooncol 2017; 136:351-361. [DOI: 10.1007/s11060-017-2659-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 10/27/2017] [Indexed: 10/18/2022]
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11
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Fountain DM, Soon WC, Matys T, Guilfoyle MR, Kirollos R, Santarius T. Volumetric growth rates of meningioma and its correlation with histological diagnosis and clinical outcome: a systematic review. Acta Neurochir (Wien) 2017; 159:435-445. [PMID: 28101641 PMCID: PMC5306174 DOI: 10.1007/s00701-016-3071-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 12/28/2016] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Tumour growth has been used to successfully predict progression-free survival in low-grade glioma. This systematic review sought to establish the evidence base regarding the correlation of volumetric growth rates with histological diagnosis and potential to predict clinical outcome in patients with meningioma. METHODS This systematic review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Databases were searched for full text English articles analysing volumetric growth rates in patients with a meningioma. RESULTS Four retrospective cohort studies were accepted, demonstrating limited evidence of significantly different tumour doubling rates and shapes of growth curves between benign and atypical meningiomas. Heterogeneity of patient characteristics and timing of volumetric assessment, both pre- and post-operatively, limited pooled analysis of the data. No studies performed statistical analysis to demonstrate the clinical utility of growth rates in predicting clinical outcome. CONCLUSION This systematic review provides limited evidence in support of the use of volumetric growth rates in meningioma to predict histological diagnosis and clinical outcome to guide future monitoring and treatment.
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Affiliation(s)
- Daniel M Fountain
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
| | | | - Tomasz Matys
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Mathew R Guilfoyle
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ramez Kirollos
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Thomas Santarius
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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12
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Atypical and malignant meningiomas: Considerations for treatment and efficacy of radiotherapy. J Clin Neurosci 2015. [DOI: 10.1016/j.jocn.2015.03.054] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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