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Zidan MM, Altayeb A, Altayeb A, Alhaj A, Khalid A, Haytham R, Alwaseela N, Abd Elraheim AAH, Elgyoum AM, Alzain AF, Ageed FEM, Fagiry MA, Alhailiy AB, Osman H, Elkhader BA, Alqahtani MS, Mahmoud M. Revealing the surprising: Computed tomography-guided exploration of paranasal sinuses incidental findings. JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES 2024; 17:101101. [DOI: 10.1016/j.jrras.2024.101101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
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Wang JZ, Landry AP, Raleigh DR, Sahm F, Walsh KM, Goldbrunner R, Yefet LS, Tonn JC, Gui C, Ostrom QT, Barnholtz-Sloan J, Perry A, Ellenbogen Y, Hanemann CO, Jungwirth G, Jenkinson MD, Tabatabai G, Mathiesen TI, McDermott MW, Tatagiba M, la Fougère C, Maas SLN, Galldiks N, Albert NL, Brastianos PK, Ehret F, Minniti G, Lamszus K, Ricklefs FL, Schittenhelm J, Drummond KJ, Dunn IF, Pathmanaban ON, Cohen-Gadol AA, Sulman EP, Tabouret E, Le Rhun E, Mawrin C, Moliterno J, Weller M, Bi W(L, Gao A, Yip S, Niyazi M, Aldape K, Wen PY, Short S, Preusser M, Nassiri F, Zadeh G. Meningioma: International Consortium on Meningiomas consensus review on scientific advances and treatment paradigms for clinicians, researchers, and patients. Neuro Oncol 2024; 26:1742-1780. [PMID: 38695575 PMCID: PMC11449035 DOI: 10.1093/neuonc/noae082] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2024] Open
Abstract
Meningiomas are the most common primary intracranial tumors in adults and are increasing in incidence due to the aging population and increased access to neuroimaging. While most exhibit nonmalignant behavior, a subset of meningiomas are biologically aggressive and are associated with treatment resistance, resulting in significant neurologic morbidity and even mortality. In recent years, meaningful advances in our understanding of the biology of these tumors have led to the incorporation of molecular biomarkers into their grading and prognostication. However, unlike other central nervous system (CNS) tumors, a unified molecular taxonomy for meningiomas has not yet been established and remains an overarching goal of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy-Not Official World Health Organization (cIMPACT-NOW) working group. Additionally, clinical equipoise still remains on how specific meningioma cases and patient populations should be optimally managed. To address these existing gaps, members of the International Consortium on Meningiomas including field-leading experts, have prepared this comprehensive consensus narrative review directed toward clinicians, researchers, and patients. Included in this manuscript are detailed overviews of proposed molecular classifications, novel biomarkers, contemporary treatment strategies, trials on systemic therapies, health-related quality-of-life studies, and management strategies for unique meningioma patient populations. In each section, we discuss the current state of knowledge as well as ongoing clinical and research challenges to road map future directions for further investigation.
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Affiliation(s)
- Justin Z Wang
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Alexander P Landry
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - David R Raleigh
- Department of Radiation Oncology, Neurological Surgery, and Pathology, University of California San Francisco, San Francisco, California, USA
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg and German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kyle M Walsh
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Roland Goldbrunner
- Center of Neurosurgery, Department of General Neurosurgery, University of Cologne, Cologne, Germany
| | - Leeor S Yefet
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Jörg C Tonn
- Department of Neurosurgery, University Hospital Munich LMU, Munich, Germany
| | - Chloe Gui
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Quinn T Ostrom
- Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Jill Barnholtz-Sloan
- Center for Biomedical Informatics & Information Technology (CBIIT), National Cancer Institute, Bethesda, Maryland, USA
- Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Arie Perry
- Department of Pathology, University of California San Francisco, San Francisco, California, USA
| | - Yosef Ellenbogen
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - C Oliver Hanemann
- Peninsula Schools of Medicine, University of Plymouth University, Plymouth, UK
| | - Gerhard Jungwirth
- Division of Experimental Neurosurgery, Department of Neurosurgery, Heidelberg University, Heidelberg, Germany
| | - Michael D Jenkinson
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
- Institute of Translational Medicine, University of Liverpool, UK
| | - Ghazaleh Tabatabai
- Department of Neurology and Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University Tübingen, Tübingen, Germany
- Cluster of Excellence (EXC 2180) “Image Guided and Functionally Instructed Tumor Therapies,” Eberhard Karls University Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Tiit I Mathiesen
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Michael W McDermott
- Division of Neuroscience, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
- Miami Neuroscience Institute, Baptist Health of South Florida, Miami, Florida, USA
| | - Marcos Tatagiba
- Department of Neurosurgery, University of Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Christian la Fougère
- Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, Germany
- Cluster of Excellence (EXC 2180) “Image Guided and Functionally Instructed Tumor Therapies,” Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sybren L N Maas
- Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (IMN-3), Research Center Juelich, Juelich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Priscilla K Brastianos
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Felix Ehret
- Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Giuseppe Minniti
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
| | - Katrin Lamszus
- Laboratory for Brain Tumor Biology, University Hospital Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Schittenhelm
- Department of Neuropathology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Katharine J Drummond
- Department of Neurosurgery, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Ian F Dunn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Omar N Pathmanaban
- Division of Neuroscience and Experimental Psychology, Manchester Centre for Clinical Neurosciences, Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
| | - Aaron A Cohen-Gadol
- Department of Neurological Surgery, Indiana University, Indianapolis, Indiana, USA
| | - Erik P Sulman
- Department of Radiation Oncology, NYU Grossman School of Medicine, New York, New York, USA
| | - Emeline Tabouret
- CNRS, INP, Inst Neurophysiopathol, Aix-Marseille University, Marseille, France
| | - Emelie Le Rhun
- Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Christian Mawrin
- Department of Neuropathology, University Hospital Magdeburg, Magdeburg, Germany
| | - Jennifer Moliterno
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Wenya (Linda) Bi
- Department of Neurosurgery, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Gao
- Department of Laboratory Medicine and Pathobiology, University Health Network, Toronto, Ontario, Canada
| | - Stephen Yip
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiation Oncology, University Hospital, Munich, Germany
- German Cancer Consortium (DKTK), Munich, Germany
| | - Maximilian Niyazi
- Bavarian Cancer Research Center (BZKF), Munich, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | | | - Kenneth Aldape
- Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Patrick Y Wen
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Susan Short
- Leeds Institute of Medical Research, St James’s University Hospital, Leeds, UK
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Farshad Nassiri
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Gelareh Zadeh
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
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Nowak A, Maj E, Marchel A, Kunert P. Risk of Tumor Progression after Microsurgery for Parasellar Meningioma Invading the Cavernous Sinus. Cancers (Basel) 2024; 16:2217. [PMID: 38927924 PMCID: PMC11202088 DOI: 10.3390/cancers16122217] [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: 05/15/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Parasellar meningiomas, which may invade the cavernous sinus, pose a significant challenge to neurosurgeons due to the high risk of postoperative neurological deficits associated with aggressive resection of the intracavernous part of the tumour. Therefore, subtotal tumour removal followed by observation or radiotherapy for the residual meningioma in the cavernous sinus is recommended. This retrospective study aimed to identify prognostic factors influencing recurrence and progression-free survival (PFS) in parasellar meningiomas invading the cavernous sinus after incomplete surgical treatment. METHODS This study included adult patients diagnosed with benign parasellar meningioma (WHO Grade I) invading the cavernous sinus, treated at our institution between 2006 and 2020, and with a postsurgical follow-up of at least 3 years. Surgical treatment involved near-total resection (NTR) with an intracavernous residual tumour or subtotal resection (STR) with additional extracavernous tumour left in place. Kaplan-Meier analysis estimated PFS rates, and Cox regression tested survival time differences between groups. RESULTS Among the 32 patients, the estimated median PFS was 11 years. Radiotherapy improved 5-year PFS only in patients with STR (p = 0.003). The univariate analysis identified preoperative tumour size, low preoperative Karnofsky Performance Score (KPS), and marked brain oedema as significant factors affecting meningioma progression after surgery. The multivariate analysis confirmed tumour size as an independent factor for progression (p = 0.012). CONCLUSIONS For patients with parasellar meningioma invading the cavernous sinus, extracavernous tumour removal followed by close radiological surveillance of the residual intracavernous meningioma is a safe and appropriate strategy. When an extracavernous tumour component is left, adjuvant stereotactic radiotherapy or radiosurgery is recommended to control tumour growth.
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Affiliation(s)
- Arkadiusz Nowak
- Department of Neurosurgery, Medical University of Warsaw, 02-097 Warsaw, Poland; (A.M.); (P.K.)
| | - Edyta Maj
- 2nd Department of Clinical Radiology, Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Andrzej Marchel
- Department of Neurosurgery, Medical University of Warsaw, 02-097 Warsaw, Poland; (A.M.); (P.K.)
| | - Przemysław Kunert
- Department of Neurosurgery, Medical University of Warsaw, 02-097 Warsaw, Poland; (A.M.); (P.K.)
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Duba M, Mrlian A, Rošková I, Smrčka M, Fadrus P, Duba J, Hrdý O, Al Tukmachi D. Neurosurgical treatment and outcome patterns in patients with meningioma in South Moravian region-a population-based study. Neurol Sci 2024; 45:2311-2319. [PMID: 38151626 PMCID: PMC11021287 DOI: 10.1007/s10072-023-07244-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 11/29/2023] [Indexed: 12/29/2023]
Abstract
INTRODUCTION Meningiomas are usually slow-growing tumours, constituting about one third of all primary intracranial tumours. They occur more frequently in women. Clinical manifestation of meningiomas depends on their location, tumour size and growth rate. In most cases, surgical treatment is the procedure of choice. The success of this treatment is, however, associated with the radicality of the resection. Radiotherapy represents an additional or alternative treatment modality. Gamma knife surgery is another notable treatment method, especially in small and/or slow-growing tumours in eloquent areas or in elderly patients. MATERIAL AND METHODS Authors describe their experience with the diagnosis, treatment and outcome of the patients with meningioma (n = 857). Furthermore, they also assess the postoperative morbidity/mortality and recurrence rate. RESULTS AND CONCLUSIONS In view of the benign histology of meningiomas, the success of the treatment largely depends (besides the tumour grading) on the radicality of the resection. The emphasis is also put on appropriate follow-up of the patients. In certain patients, the watch and wait strategy should be also considered as a suitable treatment method.
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Affiliation(s)
- Miloš Duba
- Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Andrej Mrlian
- Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic.
- Faculty of Medicine, Masaryk University, Brno, Czech Republic.
| | - Ivana Rošková
- Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Martin Smrčka
- Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Pavel Fadrus
- Department of Neurosurgery, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jaroslav Duba
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Department of Anaesthesia, Resuscitation and Intensive Medicine, University Hospital Brno, Brno, Czech Republic
| | - Ondřej Hrdý
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Department of Anaesthesia, Resuscitation and Intensive Medicine, University Hospital Brno, Brno, Czech Republic
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Feigl GC, Staribacher D, Britz G, Kuzmin D. Minimally Invasive Approaches in the Surgical Treatment of Intracranial Meningiomas: An Analysis of 54 Cases. Brain Tumor Res Treat 2024; 12:93-99. [PMID: 38742257 PMCID: PMC11096627 DOI: 10.14791/btrt.2024.0005] [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: 01/29/2024] [Revised: 03/01/2024] [Accepted: 03/08/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Intracranial meningiomas, being a fairly common disease in the population, often require surgical treatment, which, in turn, can completely heal the patient. The localization of meningiomas often influences treatment even if they are asymptomatic. By modernizing approaches to surgical treatment, it is possible to minimize intra- and postoperative risks, while achieving complete removal of the tumor. One of these methods is minimally invasive neurosurgery, the development of which in recent years allows it to compete with standard surgical methods. The purpose of this study was the objectification of minimally invasive approaches, such as the calculation of the craniotomy area and the ratio of craniotomy area to the resected tumor volume. METHODS The retrospective study consisted of a group of 54 consecutive patients who were operated on in our neurosurgery clinic specialized on minimally invasive neurosurgery. Preoperative planning was carried out using the Surgical Theater visualization platform. Using this system, the tumor volume and craniotomy surface area were calculated. During the analysis, the symptoms before and after the surgery, classification of tumors, postoperative complications, further treatment and follow-up results were assessed. RESULTS Twelve (22.2%) patients were men and 42 (77.8%) were women. The mean age of the group was 64.2 years (median 67.5). The craniotomy area ranged from 202 to 2,108 mm² (mean 631 mm²). Tumor volume ranged from 0.85 to 110.1 cm3 (mean 21.6 cm3). The craniotomy size of minimally invasive approaches to the skull base was 3-5 times smaller than standard approaches. Skull base meningiomas accounted for 19 cases (35.2%), convexity meningiomas for 26 cases (48.1%), and falx and tentorium meningiomas for 9 cases (16.7%). Three complications were reported: postoperative hemorrhage, CSF leakage, and ophthalmoplegia. Relapse was detected in 2 patients with a mean follow-up of 26.3 months (median 20). CONCLUSION Minimally invasive approaches in the surgical treatment of intracranial meningiomas reduce the possibility of operating trauma by several times; they are safe and sufficient for complete removal of the tumor.
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Affiliation(s)
- Guenther C Feigl
- General Hospital Bamberg, Bamberg, Germany
- University Hospital Tuebingen, Tuebingen, Germany
- Houston Methodist Hospital, Houston, Texas, USA.
| | | | - Gavin Britz
- Houston Methodist Hospital, Houston, Texas, USA
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Strand PS, Wågø KJ, Pedersen A, Reinertsen I, Nälsund O, Jakola AS, Bouget D, Hosainey SAM, Sagberg LM, Vanel J, Solheim O. Growth dynamics of untreated meningiomas. Neurooncol Adv 2024; 6:vdad157. [PMID: 38187869 PMCID: PMC10771275 DOI: 10.1093/noajnl/vdad157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
Background Knowledge about meningioma growth characteristics is needed for developing biologically rational follow-up routines. In this study of untreated meningiomas followed with repeated magnetic resonance imaging (MRI) scans, we studied growth dynamics and explored potential factors associated with tumor growth. Methods In a single-center cohort study, we included 235 adult patients with radiologically suspected intracranial meningioma and at least 3 MRI scans during follow-up. Tumors were segmented using an automatic algorithm from contrast-enhanced T1 series, and, if needed, manually corrected. Potential meningioma growth curves were statistically compared: linear, exponential, linear radial, or Gompertzian. Factors associated with growth were explored. Results In 235 patients, 1394 MRI scans were carried out in the median 5-year observational period. Of the models tested, a Gompertzian growth curve best described growth dynamics of meningiomas on group level. 59% of the tumors grew, 27% remained stable, and 14% shrunk. Only 13 patients (5%) underwent surgery during the observational period and were excluded after surgery. Tumor size at the time of diagnosis, multifocality, and length of follow-up were associated with tumor growth, whereas age, sex, presence of peritumoral edema, and hyperintense T2-signal were not significant factors. Conclusions Untreated meningiomas follow a Gompertzian growth curve, indicating that increasing and potentially doubling subsequent follow-up intervals between MRIs seems biologically reasonable, instead of fixed time intervals. Tumor size at diagnosis is the strongest predictor of future growth, indicating a potential for longer follow-up intervals for smaller tumors. Although most untreated meningiomas grow, few require surgery.
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Affiliation(s)
- Per Sveino Strand
- Department of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - André Pedersen
- Department of Health Research, SINTEF Digital, Trondheim, Norway
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Digital, Trondheim, Norway
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Olivia Nälsund
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Asgeir Store Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - David Bouget
- Department of Health Research, SINTEF Digital, Trondheim, Norway
| | | | - Lisa Millgård Sagberg
- Department of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Johanna Vanel
- Department of Health Research, SINTEF Digital, Trondheim, Norway
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
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Näslund O, Strand PS, Solheim O, Al Masri M, Rapi O, Thurin E, Jakola AS. Incidence, management, and outcome of incidental meningioma: what has happened in 10 years? J Neurooncol 2023; 165:291-299. [PMID: 37938444 PMCID: PMC10689551 DOI: 10.1007/s11060-023-04482-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023]
Abstract
PURPOSE The aim of this study was to study the use of brain scanning, and the subsequent findings of presumed incidental meningioma in two time periods, and to study differences in follow-up, treatment, and outcome. METHODS Records of all performed CT and MRI of the brain during two time periods were retrospectively reviewed in search of patients with presumed incidental meningioma. These patients were further analyzed using medical health records, with the purpose to study clinical handling and outcome during a 3 year follow up. RESULTS An identical number of unique patients underwent brain imaging during the two time periods (n = 22 259 vs. 22 013). In 2018-2019, 25% more incidental meningiomas were diagnosed compared to 2008-2009 (n = 161 vs. 129, p = 0.052). MRI was used more often in 2018-2019 (26.1 vs. 12.4%, p = 0.004), and the use of contrast enhancement, irrespective of modality, also increased (26.8 vs. 12.2%, p < 0.001). In the most recent cohort, patients were older (median 79 years vs. 73 years, p = 0.03). Indications showed a significant increase of cancer without known metastases among scanned patients. 29.5 and 35.4% of patients in the cohorts were deceased 3 years after diagnosis for causes unrelated to their meningioma. CONCLUSIONS Despite the same number of unique patients undergoing brain scans in the time periods, there was a trend towards more patients diagnosed with an incidental asymptomatic meningioma in the more recent years. This difference may be attributed to more contrast enhanced scans and more scans among the elderly but needs to be further studied. Patients in the cohort from 2018 to 2019 more often had non-metastatic cancer, with their cause of scan screening for metastases. There was no significant difference in management decision at diagnosis, but within 3 years of follow up significantly more patients in the latter cohort had been re-scanned. Almost a third of all patients were deceased within 3 years after diagnosis, due to causes other than their meningioma.
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Affiliation(s)
- Olivia Näslund
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of Surgery, Sahlgrenska University Hospital, Östra, Gothenburg, Sweden.
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Blå stråket 7, 41345, Gothenburg, Sweden.
| | - Per Sveino Strand
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mohammad Al Masri
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Okizeva Rapi
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Erik Thurin
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Asgeir S Jakola
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
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Taei THA, Khaja MA, Abdulrahim B, Meshkhas M. Brain meningioma incidentally detected on a bone scan: A Case report. Radiol Case Rep 2023; 18:3657-3661. [PMID: 37593332 PMCID: PMC10432142 DOI: 10.1016/j.radcr.2023.07.066] [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: 07/13/2023] [Revised: 07/22/2023] [Accepted: 07/26/2023] [Indexed: 08/19/2023] Open
Abstract
Incidental meningioma is defined as a mass diagnosed radiologically on MRI and CT scans without histopathological confirmation. In occasional cases, meningiomas can be diagnosed incidentally by bone scintigraphy. This article presents an interesting case where a 44-year-old lady with known breast cancer was found to have a brain meningioma, incidentally, detected on a bone scan, which was initially suspected to be metastatic brain changes. The follow-up MRI and histopathological studies confirmed the diagnosis of meningioma.
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Affiliation(s)
| | - Mariam Al Khaja
- Radiology Department, Salmaniya Medical Complex, Busaiteen, 00973, Bahrain
| | - Bedor Abdulrahim
- Medical Intern, Medical training department, Salmaniya Medical Complex, Busaiteen, Bahrain
| | - Marwa Meshkhas
- Medical Intern, Medical training department, Salmaniya Medical Complex, Busaiteen, Bahrain
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Li M, Liu L, Qi J, Qiao Y, Zeng H, Jiang W, Zhu R, Chen F, Huang H, Wu S. MRI-based machine learning models predict the malignant biological behavior of meningioma. BMC Med Imaging 2023; 23:141. [PMID: 37759192 PMCID: PMC10537075 DOI: 10.1186/s12880-023-01101-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND The WHO grade and Ki-67 index are independent indices used to evaluate the malignant biological behavior of meningioma. This study aims to develop MRI-based machine learning models to predict the malignant biological behavior of meningioma from the perspective of the WHO grade, Ki-67 index, and their combination. METHODS This multicenter, retrospective study included 313 meningioma patients, of which 70 were classified as high-grade (WHO II/III) and 243 as low-grade (WHO I). The Ki-67 expression was classified into low-expression (n = 216) and high-expression (n = 97) groups with a threshold of 5%. Among them, there were 128 patients with malignant biological behavior whose WHO grade or Ki-67 index increased either or both. Data from Center A and B are were utilized for model development, while data from Center C and D were used for external validation. Radiomic features were extracted from the maximum cross-sectional area (2D) region of Interest (ROI) and the whole tumor volume (3D) ROI using different paraments from the T1, T2-weighted, and T1 contrast-enhanced sequences (T1CE), followed by five independent feature selections and eight classifiers. 240 prediction models were constructed to predict the WHO grade, Ki-67 index and their combination respectively. Models were evaluated by cross-validation in training set (n = 224). Suitable models were chosen by comparing the cross-validation (CV) area under the curves (AUC) and their relative standard deviations (RSD). Clinical and radiological features were collected and analyzed; meaningful features were combined with radiomic features to establish the clinical-radiological-radiomic (CRR) models. The receiver operating characteristic (ROC) analysis was used to evaluate those models in validation set. Radiomic models and CRR models were compared by Delong test. RESULTS 1218 and 1781 radiomic features were extracted from 2D ROI and 3D ROI of each sequence. The selected grade, Ki-67 index and their combination radiomic models were T1CE-2D-LASSO-LR, T1CE-3D-LASSO-NB, and T1CE-2D-LASSO-LR, with cross-validated AUCs on the training set were 0.857, 0.798, and 0.888, the RSDs were 0.06, 0.09, and 0.05, the validation set AUCs were 0.829, 0.752, and 0.904, respectively. Heterogeneous enhancement was found to be associated with high grade and Ki-67 status, while surrounding invasion was associated with the high grade status, peritumoral edema and cerebrospinal fluid space surrounding tumor were correlated with the high Ki-67 status. The Delong test showed that these significant radiological features did not significantly improve the predictive performance. The AUCs for CRR models predicting grade, Ki-67 index, and their combination in the validation set were 0.821, 0.753, and 0.906, respectively. CONCLUSIONS This study demonstrated that MRI-based machine learning models could effectively predict the grade, Ki-67 index of meningioma. Models considering these two indices might be valuable for improving the predictive sensitivity and comprehensiveness of prediction of malignant biological behavior of meningioma.
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Affiliation(s)
- Maoyuan Li
- Department of Radiology, Chengdu Qingbaijiang District People's Hospital, Chengdu, 610300, Sichuan, China
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Luzhou Liu
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Jie Qi
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Ying Qiao
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Hanrui Zeng
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Wen Jiang
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Rui Zhu
- Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Fujian Chen
- Department of Radiology, Mianyang Central Hospital, Mianyang, 621000, Sichuan, China
| | - Huan Huang
- Department of Radiology, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Shaoping Wu
- Department of Radiology, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
- Department of Radiology, Sichuan Taikang Hospital, Chengdu, 610041, Sichuan, China.
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Engelhardt J, Montalibet V, Saut O, Loiseau H, Collin A. Evaluation of four tumour growth models to describe the natural history of meningiomas. EBioMedicine 2023; 94:104697. [PMID: 37413890 PMCID: PMC10345245 DOI: 10.1016/j.ebiom.2023.104697] [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: 03/15/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The incidence of newly diagnosed meningiomas, particularly those diagnosed incidentally, is continually increasing. The indication for treatment is empirical because, despite numerous studies, the natural history of these tumours remains difficult to describe and predict. METHODS This retrospective single-centre study included 294 consecutive patients with 333 meningiomas who underwent three or more brain imaging scans. Linear, exponential, power, and Gompertz models were constructed to derive volume-time curves, by using a mixed-effect approach. The most accurate model was used to analyse tumour growth and predictors of rapid growth. FINDINGS The Gompertz model provided the best results. Hierarchical clustering at the time of diagnosis and at the end of follow-up revealed at least three distinct groups, which can be described as pseudoexponential, linear, and slowing growth with respect to their parameters. Younger patients and smaller tumours were more frequent in the pseudo-exponential clusters. We found that the more "aggressive" the cluster, the higher the proportion of patients with grade II meningiomas and who have had a cranial radiotherapy. Over a mean observation period of 56.5 months, 21% of the tumours moved to a cluster with a lower growth rate, consistent with the Gompertz's law. INTERPRETATION Meningiomas exhibit multiple growth phases, as described by the Gompertz model. The management of meningiomas should be discussed according to the growth phase, comorbidities, tumour location, size, and growth rate. Further research is needed to evaluate the associations between radiomics features and the growth phases of meningiomas. FUNDING No funding.
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Affiliation(s)
- Julien Engelhardt
- Service de Neurochirurgie B, CHU de Bordeaux, Place Amélie Raba-Léon, Bordeaux Cédex 33076, France; Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence F-33400, France.
| | - Virginie Montalibet
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence F-33400, France
| | - Olivier Saut
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence F-33400, France
| | - Hugues Loiseau
- Service de Neurochirurgie B, CHU de Bordeaux, Place Amélie Raba-Léon, Bordeaux Cédex 33076, France
| | - Annabelle Collin
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence F-33400, France
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11
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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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12
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Gillespie CS, Richardson GE, Mustafa MA, Taweel BA, Bakhsh A, Kumar S, Keshwara SM, Islim AI, Mehta S, Millward CP, Brodbelt AR, Mills SJ, Jenkinson MD. Volumetric Growth and Growth Curve Analysis of Residual Intracranial Meningioma. Neurosurgery 2023; 92:734-744. [PMID: 36656062 PMCID: PMC9988310 DOI: 10.1227/neu.0000000000002268] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/23/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND After meningioma surgery, approximately 1 in 3 patients will have residual tumor that requires ongoing imaging surveillance. The precise volumetric growth rates of these tumors are unknown. OBJECTIVE To identify the volumetric growth rates of residual meningioma, growth trajectory, and factors associated with progression. METHODS Patients with residual meningioma identified at a tertiary neurosurgery center between 2004 and 2020 were retrospectively reviewed. Tumor volume was measured using manual segmentation, after surgery and at every follow-up MRI scan. Growth rates were ascertained using a linear mixed-effects model and nonlinear regression analysis of growth trajectories. Progression was defined according to the Response Assessment in Neuro-Oncology (RANO) criteria (40% volume increase). RESULTS There were 236 patients with residual meningioma. One hundred and thirty-two patients (56.0%) progressed according to the RANO criteria, with 86 patients being conservatively managed (65.2%) after progression. Thirteen patients (5.5%) developed clinical progression. Over a median follow-up of 5.3 years (interquartile range, 3.5-8.6 years), the absolute growth rate was 0.11 cm 3 per year and the relative growth rate 4.3% per year. Factors associated with residual meningioma progression in multivariable Cox regression analysis were skull base location (hazard ratio [HR] 1.60, 95% CI 1.02-2.50) and increasing Ki-67 index (HR 3.43, 95% CI 1.19-9.90). Most meningioma exhibited exponential and logistic growth patterns (median R 2 value 0.84, 95% CI 0.60-0.90). CONCLUSION Absolute and relative growth rates of residual meningioma are low, but most meet the RANO criteria for progression. Location and Ki-67 index can be used to stratify adjuvant treatment and surveillance paradigms.
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Affiliation(s)
- Conor S. Gillespie
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - George E. Richardson
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Mohammad A. Mustafa
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Basel A. Taweel
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Ali Bakhsh
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Siddhant Kumar
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Sumirat M. Keshwara
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Abdurrahman I. Islim
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Shaveta Mehta
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Oncology, Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK
| | - Christopher P. Millward
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Andrew R. Brodbelt
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Samantha J. Mills
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Michael D. Jenkinson
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
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Eraky AM. Non-coding RNAs as Genetic Biomarkers for the Diagnosis, Prognosis, Radiosensitivity, and Histopathologic Grade of Meningioma. Cureus 2023; 15:e34593. [PMID: 36883085 PMCID: PMC9985895 DOI: 10.7759/cureus.34593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 02/05/2023] Open
Abstract
Meningioma is considered the most common primary benign brain tumor. It originates from the arachnoid cells of the leptomeninges surrounding the brain. The mainstay treatment of meningiomas is microsurgical resection. Meningioma prognosis depends on tumor grade, location, and patient age. Recently, using non-coding RNA as a prognostic and diagnostic biomarker for many tumors became a trend. Herein, we demonstrate the importance of non-coding RNAs, including microRNAs and lncRNAs in meningioma and their potential role in meningioma's early diagnosis, prognosis, histological grade, and radiosensitivity. In this review, many microRNAs were found to be upregulated in radioresistant meningioma cells such as microRNA-221, microRNA-222, microRNA-4286, microRNA-4695-5p, microRNA-6732-5p, microRNA-6855-5p, microRNA-7977, microRNA-6765-3p, and microRNA-6787-5p. Moreover, there are many microRNAs downregulated in radioresistant meningioma cells such as microRNA-1275, microRNA-30c-1-3p, microRNA-4449, microRNA-4539, microRNA-4684-3p, microRNA-6129, and microRNA-6891-5p. Also, we highlight the possible use of non-coding RNAs as serum non-invasive biomarkers and their potential role as therapeutic targets to treat high-grade meningiomas. Recent studies show that microRNA-497, microRNA-195, microRNA-18a, microRNA-197, and microRNA-224 are downregulated in the serum of patients with meningiomas. Additionally, microRNA-106a-5p, microRNA-219-5p, microRNA-375, and microRNA-409-3p are found to be upregulated in the serum of patients with meningioma. We also found that there are many deregulated microRNAs in meningioma cells that can be used as potential biomarkers for meningioma diagnosis, prognosis, and histopathologic grade, such as microRNA-17-5p, microRNA-199a, microRNA-190a, microRNA-186-5p, microRNA155-5p, microRNA-22-3p, microRNA-24-3p, microRNA-26-5p, microRNA-27a-3p, microRNA-27b-3p, microRNA-96-5p, microRNA-146a-5p, microRNA-29c-3p, microRNA-219-5p, microRNA-335, microRNA-200a, microRNA-21, microRNA-107, microRNA-224, microRNA-195, microRNA-34a-3p, and microRNA-let-7d. Of interest, we found fewer studies discussing deregulated long non-coding RNAs (lncRNAs) in meningioma cells. LncRNAs work as competitive endogenous RNA (ceRNA) by binding to oncogenic or anti-oncogenic microRNAs. We found that lncRNA- NUP210, lncRNA-SPIRE2, lncRNA-SLC7A1, lncRNA-DMTN, lncRNA-LINC00702, and lncRNA-LINC00460 are upregulated in meningioma cells. In contrast, lncRNA-MALAT1 was found to be downregulated in meningioma cells.
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Affiliation(s)
- Akram M Eraky
- Neurological Surgery, Medical College of Wisconsin, Milwaukee, USA
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14
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Ahmeti H, Caliebe A, Röcken C, Jansen O, Mehdorn MH, Synowitz M. Impact of peritumoral brain edema on pre- and postoperative clinical conditions and on long-term outcomes in patients with intracranial meningiomas. Eur J Med Res 2023; 28:40. [PMID: 36670509 PMCID: PMC9862965 DOI: 10.1186/s40001-022-00962-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 12/19/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Peritumoral brain edema (PTBE) is a common complication related to intracranial meningiomas. In several studies, researchers have investigated the pathogenesis of PTBE, and the factors involved in its development in patients with intracranial meningiomas have been reported. However, very little is known about the clinical effect of PTBE on patients with intracranial meningiomas; therefore, a systematic examination of this matter is necessary. METHODS In this study, we performed a systematic examination of 696 patients with primary intracranial meningiomas to assess the effect of preoperative PTBE on preoperative symptoms, neurological deficits and postoperative complications, and long-term outcomes with a follow-up period of 16.8 years. We performed a univariate analysis and multiple regression for specific outcomes and adjusted for other relevant clinical factors. RESULTS A total of 627 (90.1%) patients were symptomatic preoperatively. One hundred eighty-eight (90.8%) patients with small to moderate PTBE and 125 (98.4%) patients with severe PTBE presented with symptoms significantly more often than the 314 (86.7%) patients without PTBE (p < 0.001, univariate analysis). Cognitive deficits, palsy and seizure were significantly more present, preoperatively, in patients with PTBE than in patients without PTBE (p < 0.001, univariate analysis). Two hundred fifty-five (36.6%) patients experienced surgical and systemic complications postoperatively. The complication rate was significantly higher in patients with PTBE; 41.5% for patients with small to moderate PTBE and 52.8% for patients with severe PTBE, compared to 28.2% of patients without PTBE (p < 0.001, univariate analysis). Furthermore, pre- and postoperative KPS scores were significantly lower in patients with PTBE (p < 0.001). Patients with PTBE required additional medical support significantly more often (p < 0.001) and had a significantly longer hospital stay (p < 0.001). The mortality rate was higher in patients with PTBE immediately after surgery and in the follow-up period; however, the difference was not significant. The neurological condition of all patients improved in the follow-up and did not show significant differences between patients with and without preoperative PTBE (p = 0.6361). Multiple logistic regression analyses revealed a significant association between PTBE and the presence of preoperative cognitive deficits, the incidences of seizure and postoperative complications, and low pre- and postoperative KPS scores. CONCLUSIONS Preoperative PTBE significantly increased the incidences of specific preoperative symptoms, neurological deficits and postoperative complications in patients with intracranial meningiomas. After surgery, patients with preoperative PTBE required medical support significantly more often than patients without PTBE. However, all patients had favorable outcomes after surgery.
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Affiliation(s)
- Hajrullah Ahmeti
- grid.412468.d0000 0004 0646 2097Department of Neurosurgery, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105 Kiel, Germany
| | - Amke Caliebe
- grid.9764.c0000 0001 2153 9986Institute of Medical Informatics und Statistics, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Christoph Röcken
- grid.412468.d0000 0004 0646 2097Department of Pathology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Olav Jansen
- grid.412468.d0000 0004 0646 2097Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Maximilian H. Mehdorn
- grid.412468.d0000 0004 0646 2097Department of Neurosurgery, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105 Kiel, Germany
| | - Michael Synowitz
- grid.412468.d0000 0004 0646 2097Department of Neurosurgery, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105 Kiel, Germany
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Gawish A, Abdulayev N, El-Arayed S, Röllich B, Ochel HJ, Brunner TB. A single-center experience with linear accelerator-based stereotactic radiotherapy for meningiomas: hypofractionation and radiosurgery. J Cancer Res Clin Oncol 2023; 149:103-109. [PMID: 36307558 PMCID: PMC9889479 DOI: 10.1007/s00432-022-04450-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 10/20/2022] [Indexed: 02/04/2023]
Abstract
PURPOSE Meningioma is a common type of benign tumor that can be managed in several ways, ranging from close observation, surgical resection, and various types of radiation. We present here results from a 10 year experience treating meningiomas with a hypofractionated approach. MATERIALS AND METHODS To define the rate of tumor control and factors associated with the relief of symptoms and radiation-related complications after radiosurgery and hypofractionated radiosurgery for patients with imaging-defined intracranial meningiomas. We reviewed the charts of 48 patients treated with stereotactic radiosurgery (SRS) or hypofractionated stereotactic radiotherapy (SRT) from 2002 to 2018. A total of 37 (82%) patients had WHO Grade 1 disease, and 11 (22%) had Grade 2. Outcomes that were analyzed included local control rates and the rate and grade of any reported toxicity. RESULTS Only 36 patients with 38 lesions, who underwent the follow-up regime, were enrolled in the retrospective analysis. The follow-up mean was 40 months (12-120 months). 25/34 patients had surgery before the radiotherapy. Sixteen underwent SRS with a median dose of 13, 5, and 20 received hypofractionated SBRT with a median dose of 26.9 (22-45 Gy) in median six fractions (5-13 fractions). Local control at 2 and 5 years for all patients was 90 and 70%, respectively. No patient suffered from toxicity > 2 CTC. 21/36 patients showed stable disease, while 8/36 patients showed partial Remission. 7/36 developed recurrent meningioma (five in-field), only one patient with grade 1 meningioma, in a median of 22 months (13-48 months). CONCLUSION SFRT was superior to SRS for local control in our analysis of Grade I meningiomas. This might be due to a tendency for higher EQD2 in the PTV with SFRT compared to SRS, which was reduced to avoid brain necrosis in large PTVs. Therefore, SFRT appears preferable for typical meningioma PTVs.
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Affiliation(s)
- Ahmed Gawish
- Department of Radiation Oncology, University Hospital Magdeburg, Leipziger Str. 44, 39120 Magdeburg, DE Germany
| | - Nurlan Abdulayev
- Department of Radiation Oncology, University Hospital Magdeburg, Leipziger Str. 44, 39120 Magdeburg, DE Germany
| | - Souhir El-Arayed
- Department of Radiation Oncology, University Hospital Magdeburg, Leipziger Str. 44, 39120 Magdeburg, DE Germany
| | - Burkard Röllich
- Department of Radiation Oncology, University Hospital Magdeburg, Leipziger Str. 44, 39120 Magdeburg, DE Germany
| | - Hans-Joachim Ochel
- Department of Radiation Oncology, University Hospital Magdeburg, Leipziger Str. 44, 39120 Magdeburg, DE Germany
| | - Thomas B. Brunner
- Department of Radiation Oncology, University Hospital Magdeburg, Leipziger Str. 44, 39120 Magdeburg, DE Germany ,Department of Radiation Oncology, Medical University of Graz, 8036 Graz, Austria
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Wang JZ, Nassiri F, Saladino A, Zadeh G. Surgical Therapy of Non-Skull Base Meningiomas. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1416:79-94. [PMID: 37432621 DOI: 10.1007/978-3-031-29750-2_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
In a previous chapter, the surgical management of skull base meningiomas were discussed. However, the most common meningiomas that are diagnosed and operated on are non-skull base tumors located in the parasagittal/parafalcine region and convexity, and more rarely along the tentorium, and in an intraventricular location. These tumors present their own unique set of challenges given their unique anatomy and tend to be more biologically aggressive compared to skull base meningiomas, thereby reinforcing the importance of obtaining a gross total resection if possible, in order to delay recurrence. In this chapter we will cover the surgical management of non-skull base meningiomas with technical considerations for tumors located in each of the anatomical areas listed above.
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Affiliation(s)
- Justin Z Wang
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, The University of Toronto, Toronto, ON, Canada
| | - Farshad Nassiri
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
- Division of Neurosurgery, Department of Surgery, The University of Toronto, Toronto, ON, Canada.
| | - Andrea Saladino
- Unit of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Gelareh Zadeh
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada
- Division of Neurosurgery, Department of Surgery, The University of Toronto, Toronto, ON, Canada
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Clinical Management of Supratentorial Non-Skull Base Meningiomas. Cancers (Basel) 2022; 14:cancers14235887. [PMID: 36497370 PMCID: PMC9737260 DOI: 10.3390/cancers14235887] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 12/02/2022] Open
Abstract
Supratentorial non-skull base meningiomas are the most common primary central nervous system tumor subtype. An understanding of their pathophysiology, imaging characteristics, and clinical management options will prove of substantial value to the multi-disciplinary team which may be involved in their care. Extensive review of the broad literature on the topic is conducted. Narrowing the scope to meningiomas located in the supratentorial non-skull base anatomic location highlights nuances specific to this tumor subtype. Advances in our understanding of the natural history of the disease and how findings from both molecular pathology and neuroimaging have impacted our understanding are discussed. Clinical management and the rationale underlying specific approaches including observation, surgery, radiation, and investigational systemic therapies is covered in detail. Future directions for probable advances in the near and intermediate term are reviewed.
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Campos GDC, Amaro E, Weltman E, Malheiros SMF, Ferrari BL, Vitor T, Barboza MRFFD, Bezerra RP, Yamaga LYI, Wagner J, Baroni RH. Comparative analysis of somatostatin analog uptake between successfully irradiated and non-irradiated meningiomas. EINSTEIN-SAO PAULO 2022; 20:eAO0104. [DOI: 10.31744/einstein_journal/2022ao0104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/20/2022] [Indexed: 11/13/2022] Open
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19
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Chotai S, Tang AR, Gupta R, Guidry BS, McDermott JR, Grisham CJ, Morone PJ, Thompson RC, Chambless LB. Matched case–control analysis of outcomes following surgical resection of incidental meningioma. J Neurooncol 2022; 160:481-489. [DOI: 10.1007/s11060-022-04167-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
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20
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Yamada S, Hirayama R, Iwata T, Kuroda H, Nakagawa T, Takenaka T, Kijima N, Okita Y, Kagawa N, Kishima H. Growth risk classification and typical growth speed of convexity, parasagittal, and falx meningiomas: a retrospective cohort study. J Neurosurg 2022; 138:1235-1241. [PMID: 36115061 DOI: 10.3171/2022.8.jns221290] [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: 06/06/2022] [Accepted: 08/02/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Meningiomas are the most common primary intracranial tumors, and their clinical and biological characteristics vary by location. Convexity, parasagittal, and falx meningiomas account for approximately 50%-65% of intracranial meningiomas. Focusing only on these locations, the aim of this study was to determine the typical speed of tumor growth, to assess the growth risk, and to show the possible tumor volume that many lesions can reach after 5 years. METHODS Patients with radiologically suspected convexity, parasagittal, or falx meningiomas at the authors' institution were studied retrospectively. The relative growth rate (RGR) and annual volume change (AVC) were calculated from MRI at more than 3-month intervals. Based on sex, age, and signal intensity on T2-weighted MRI, the cases were classified into three groups: extremely high-growth, high-growth, and low-growth groups. RESULTS The data of 313 cases were analyzed. The median RGR and AVC for this entire cohort were 6.1% (interquartile range [IQR] 2.4%-16.0%) and 0.20 (IQR 0.04-1.18) cm3/year, respectively. There were significant differences in sex (p = 0.018) and T2-weighted MRI signal intensity (p < 0.001) for RGR, and T2-weighted MRI signal intensity (p < 0.001), tumor location (p = 0.025), and initial tumor volume (p < 0.001) for AVC. The median RGR and AVC were 17.5% (IQR 8.3%-44.1%) and 1.05 (IQR 0.18-3.53) cm3/year, 8.2% (IQR 2.9%-18.6%) and 0.33 (IQR 0.06-1.66) cm3/year, and 3.4% (IQR 1.2%-5.8%) and 0.04 (IQR 0.02-0.21) cm3/year for the extremely high-growth, high-growth, and low-growth groups, respectively, with a significant difference among the groups (p < 0.001). A 2.24-times, or 5.24 cm3, increase in tumor volume over 5 years was typical in the extremely high-growth group, whereas the low-growth group showed little change in tumor volume even over a 5-year follow-up period. CONCLUSIONS For the first time, the typical speed of tumor growth was calculated, focusing only on patients with convexity, parasagittal, and falx meningiomas. In addition, the possible tumor volume that many lesions in these locations can reach after 5 years was shown based on objective indicators. These results may allow clinicians to easily detect lesions that require frequent follow-up or early treatment by determining whether they deviate from the typical range of the growth rate, similar to a growth chart for children.
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21
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Santacroce A, Tuleasca C, Liščák R, Motti E, Lindquist C, Radatz M, Gatterbauer B, Lippitz BE, Martínez Álvarez R, Martínez Moreno N, Kamp MA, Sandvei Skeie B, Schipmann S, Longhi M, Unger F, Sabin I, Mindermann T, Bundschuh O, Horstmann GA, van Eck AJ, Walier M, Berres M, Nakamura M, Steiger HJ, Hänggi D, Fortmann T, Alsofy SZ, Régis J, Ewelt C. Stereotactic Radiosurgery for Benign Cavernous Sinus Meningiomas: A Multicentre Study and Review of the Literature. Cancers (Basel) 2022; 14:4047. [PMID: 36011041 PMCID: PMC9406912 DOI: 10.3390/cancers14164047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 06/17/2022] [Accepted: 07/02/2022] [Indexed: 11/16/2022] Open
Abstract
Cavernous sinus meningiomas (CSMs) remain a surgical challenge due to the intimate involvement of their contained nerves and blood vessels. Stereotactic radiosurgery (SRS) is a safe and effective minimally invasive alternative for the treatment of small- to medium-sized CSMs. Objective: To assess the medium- to long-term outcomes of SRS for CSMs with respect to tumour growth, prevention of further neurological deterioration and improvement of existing neurological deficits. This multicentric study included data from 15 European institutions. We performed a retrospective observational analysis of 1222 consecutive patients harbouring 1272 benign CSMs. All were treated with Gamma Knife stereotactic radiosurgery (SRS). Clinical and imaging data were retrieved from each centre and entered into a common database. All tumours with imaging follow-up of less than 24 months were excluded. Detailed results from 945 meningiomas (86%) were then analysed. Clinical neurological outcomes were available for 1042 patients (85%). Median imaging follow-up was 67 months (mean 73.4, range 24-233). Median tumour volume was 6.2 cc (+/-7), and the median marginal dose was 14 Gy (+/-3). The post-treatment tumour volume decreased in 549 (58.1%), remained stable in 336 (35.6%) and increased in only 60 lesions (6.3%), yielding a local tumour control rate of 93.7%. Only 27 (2.8%) of the 60 enlarging tumours required further treatment. Five- and ten-year actuarial progression-free survival (PFS) rates were 96.7% and 90.1%, respectively. Tumour control rates were higher for women than men (p = 0.0031), and also for solitary sporadic meningiomas (p = 0.0201). There was no statistically significant difference in outcome for imaging-defined meningiomas when compared with histologically proven WHO Grade-I meningiomas (p = 0.1212). Median clinical follow up was 61 months (mean 64, range 6-233). Permanent morbidity occurred in 5.9% of cases at last follow-up. Stereotactic radiosurgery is a safe and effective method for treating benign CSM in the medium term to long term.
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Affiliation(s)
- Antonio Santacroce
- Department of Neurosurgery, St. Barbara-Klinik Hamm-Heessen, 59073 Hamm, Germany
- Department of Medicine, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany
| | - Constantin Tuleasca
- Neurosurgery Service and Gamma Knife Center, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
- Faculté de Biologie et de Médecine (FBM), Université de Lausanne (Unil), 1005 Lausanne, Switzerland
- Signal Processing Laboratory (LTS 5), Swiss Federal Institute of Technology (EPFL), 1015 Lausanne, Switzerland
- Faculté de Médecine, Sorbonné Université, 70513 Paris, France
- Assisstance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris Sud, Centre Hospitalier Universitaire Bicêtre, Service de Neurochirurgie, 94270 Le Kremlin-Bicêtre, France
| | - Roman Liščák
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, 15000 Prague, Czech Republic
| | - Enrico Motti
- Dipartimento di Neuroscienze, Neurochirurgia, Università degli Studi di Milano, 20122 Milano, Italy; Villa Maria Cecilia Hospital, 48033 Cotignola, Italy
| | | | - Matthias Radatz
- National Centre for Stereotactic Radiosurgery, Royal Hallamshire Hospital, Sheffield S10 2JF, UK
| | | | - Bodo E. Lippitz
- Interdisciplinary Centre for Radiosurgery (ICERA), Radiological Alliance, 22767 Hamburg, Germany
| | | | | | - Marcel A. Kamp
- Department of Neurosurgery, Jena University Hospital, Friedrich-Schiller-University Jena, 07747 Jena, Germany
| | - Bente Sandvei Skeie
- Department of Neurosurgery, Haukeland University Hospital, 5021 Bergen, Norway
| | - Stephanie Schipmann
- Department of Neurosurgery, Haukeland University Hospital, 5021 Bergen, Norway
| | - Michele Longhi
- Unit of Radiosurgery and Stereotactic Neurosurgery, Department of Neurosciences, Azienda Ospedaliera Universitaria, 37126 Verona, Italy
| | - Frank Unger
- Department of Neurosurgery, Medical University Graz, 8036 Graz, Austria
| | - Ian Sabin
- Gamma Knife Unit, Wellington Hospital (Platinum Medical Centre), London NW8 7JA, UK
| | - Thomas Mindermann
- Gamma Knife Center Zurich, Klinik Im Park Hirslanden, 8002 Zurich, Switzerland
| | | | | | | | - Maja Walier
- Institute of Medical Biometry, Epidemiology and Informatics, University Medical Center of Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Joseph-Rovan-Allee 2, 53424 Remagen, Germany
| | - Manfred Berres
- Institute of Medical Biometry, Epidemiology and Informatics, University Medical Center of Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Joseph-Rovan-Allee 2, 53424 Remagen, Germany
| | - Makoto Nakamura
- Department of Medicine, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany
- Department of Neurosurgery, Academic Hospital Köln-Merheim, 51058 Köln, Germany
| | - Hans Jakob Steiger
- Department of Neurosurgery, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
| | - Daniel Hänggi
- Department of Neurosurgery, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
| | - Thomas Fortmann
- Department of Neurosurgery, St. Barbara-Klinik Hamm-Heessen, 59073 Hamm, Germany
- Department of Medicine, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany
| | - Samer Zawy Alsofy
- Department of Neurosurgery, St. Barbara-Klinik Hamm-Heessen, 59073 Hamm, Germany
- Department of Medicine, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany
| | - Jean Régis
- Service de Neurochirurgie Fonctionnelle et Stereotaxique, Hôpital D’adulte de la Timone, 13354 Marseille, France
| | - Christian Ewelt
- Department of Neurosurgery, St. Barbara-Klinik Hamm-Heessen, 59073 Hamm, Germany
- Department of Neurosurgery, University Hospital Münster, Albert-Schweitzer-Campus 1, A1, 48149 Munster, Germany
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Zhou YW, Long YX, Liu X, Liu JY, Qiu M. Tumor calcification is associated with better survival in metastatic colorectal cancer patients treated with bevacizumab plus chemotherapy. Future Oncol 2022; 18:2453-2464. [PMID: 35712899 DOI: 10.2217/fon-2021-1422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Aims: The purpose was to investigate the correlation between calcification and outcome in metastatic colorectal cancer (mCRC) patients who received bevacizumab plus chemotherapy as the first-line treatment. Methods: A single retrospective cohort study was conducted with all diagnosed mCRC cases who received bevacizumab and chemotherapy as the first-line therapy. Results: Among all enrolled patients (n = 159), 31 had tumor calcification. The median overall survival and progression-free survival were significantly better in patients with tumor calcification than in those without calcification. A higher objective overall response rate was also observed in the tumor calcification group. On multivariate analysis, tumor calcification was independently associated with overall survival and progression-free survival. Conclusions: Tumor calcification was independently associated with improved survival in mCRC patients treated with bevacizumab plus chemotherapy.
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Affiliation(s)
- Yu-Wen Zhou
- Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yi-Xiu Long
- Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xia Liu
- Department of Colorectal Cancer Center, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Ji-Yan Liu
- Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Meng Qiu
- Department of Colorectal Cancer Center, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
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Oyem PC, de Andrade EJ, Soni P, Murayi R, Obiri-Yeboah D, Lopez D, Kshettry VR, Recinos PF. Natural history and volumetric analysis of meningiomas in neurofibromatosis type 2. Neurosurg Focus 2022; 52:E5. [DOI: 10.3171/2022.2.focus21779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 02/16/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
The objective of this paper was to describe the volumetric natural history of meningiomas in patients with neurofibromatosis type 2 (NF2).
METHODS
The authors performed a retrospective descriptive study by reviewing NF2 patients with meningiomas at their institution between 2000 and 2019. Demographic data were collected from the electronic medical records. Tumor volume was collected using volumetric segmentation software. Imaging characteristics including peritumoral brain edema (PTBE) and tumor calcification were collected for each patient from their first to most recent MRI at the authors’ institution. An increase of 15% or more per year from original tumor size was used as the cutoff to define growth.
RESULTS
A total of 137 meningiomas from 48 patients were included in the analysis. The average number of tumors per person was 2.9. Ninety-nine (72.3%) tumors were in female patients. The median length of follow-up from first imaging to last imaging was 32 months (IQR 10.9, 68.3 months). Most tumors were located in the cerebral convexity (24.8%), followed by the falcine region (18.2%) and spine (10.2%). The median tumor growth was 0.12 cm3/yr (IQR 0.03, 0.52 cm3/yr). At the time of first imaging, 21.9% of tumors had calcifications, while 13.9% of meningiomas had PTBE. Of 137 tumors, 52 showed growth. Characteristics associated with tumor growth included PTBE (OR 9.12, 95% CI 1.48–56.4), tumor volume (per cm3) at first imaging (OR 0.91, 95% CI 0.83–0.99), and 10-year increased age at first imaging (OR 0.57, 95% CI 0.43–0.74). PTBE had the shortest median time to growth at 9.2 months.
CONCLUSIONS
Although the majority of NF2-associated meningiomas do not grow in the short term, a wide range of growth patterns can be seen. Younger age at first imaging and presence of PTBE are associated with growth. Patients with these characteristics likely benefit from closer follow-up.
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Affiliation(s)
- Precious C. Oyem
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio; and
| | - Erion J. de Andrade
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio; and
| | - Pranay Soni
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio; and
| | - Roger Murayi
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
| | - Derrick Obiri-Yeboah
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
| | - Diana Lopez
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
| | - Varun R. Kshettry
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio; and
| | - Pablo F. Recinos
- Department of Neurological Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio; and
- Department of Otolaryngology–Head & Neck Surgery, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
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Thomann P, Häni L, Vulcu S, Schütz A, Frosch M, Jesse CM, El-Koussy M, Söll N, Hakim A, Raabe A, Schucht P. Natural history of meningiomas: a serial volumetric analysis of 240 tumors. J Neurosurg 2022; 137:1639-1649. [PMID: 35535829 DOI: 10.3171/2022.3.jns212626] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 03/11/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The management of asymptomatic intracranial meningiomas is controversial. Through the assessment of growth predictors, the authors aimed to create the basis for practicable clinical pathways for the management of these tumors. METHODS The authors volumetrically analyzed meningiomas radiologically diagnosed at their institution between 2003 and 2015. The primary endpoint was growth of tumor volume. The authors used significant variables from the multivariable regression model to construct a decision tree based on the exhaustive Chi-Square Automatic Interaction Detection (CHAID) algorithm. RESULTS Of 240 meningiomas, 159 (66.3%) demonstrated growth during a mean observation period of 46.9 months. On multivariable logistic regression analysis, older age (OR 0.979 [95% CI 0.958-1.000], p = 0.048) and presence of calcification (OR 0.442 [95% CI 0.224-0.872], p = 0.019) had a negative predictive value for tumor growth, while T2-signal iso-/hyperintensity (OR 4.415 [95% CI 2.056-9.479], p < 0.001) had a positive predictive value. A decision tree model yielded three growth risk groups based on T2 signal intensity and presence of calcifications. The median tumor volume doubling time (Td) was 185.7 months in the low-risk, 100.1 months in the intermediate-risk, and 51.7 months in the high-risk group (p < 0.001). Whereas 0% of meningiomas in the low- and intermediate-risk groups had a Td of ≤ 12 months, the percentage was 8.9% in the high-risk group (p = 0.021). CONCLUSIONS Most meningiomas demonstrated growth during follow-up. The absence of calcifications and iso-/hyperintensity on T2-weighted imaging offer a practical way of stratifying meningiomas as low, intermediate, or high risk. Small tumors in the low- or intermediate-risk categories can be monitored with longer follow-up intervals.
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Affiliation(s)
- Pascal Thomann
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Levin Häni
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Sonja Vulcu
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Alessa Schütz
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Maximilian Frosch
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland.,2Institute of Neuropathology, Medical Center-University of Freiburg, Germany
| | - Christopher Marvin Jesse
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Marwan El-Koussy
- 3Department of Radiology and Neuroradiology, Hospital of Emmental, Burgdorf, Switzerland; and
| | - Nicole Söll
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Arsany Hakim
- 4Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Andreas Raabe
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Philippe Schucht
- 1Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
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Davis B, Beldishevski-Shotadze O, Ibrahim Z, McHugh F, Turner C, Olson S, Faull R, Dragunow M, Law AJJ, Correia JA. Characterization of volumetric growth of intracranial meningiomas in Māori and Pasifika populations in New Zealand. ANZ J Surg 2022; 92:848-855. [PMID: 35239240 DOI: 10.1111/ans.17564] [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: 12/18/2021] [Revised: 01/21/2022] [Accepted: 02/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Māori and Pasifika populations in New Zealand have a higher incidence and prevalence of intracranial meningioma (IM). We sought to evaluate the volumetric growth rate of meningiomas under surveillance in these populations. METHODS From July 2002 to October 2020, 336 patients with a total of 408 IM underwent conservative management with serial radiological surveillance at Auckland City Hospital and met the criteria for the study. Inclusion criteria included: age >16 at diagnosis, ≥2 appropriate scans one or more years apart. Exclusion criteria included previous cranial irradiation, a diagnosis of Neurofibromatosis and prior treatment of meningioma. Demographic and clinical data were obtained from the electronic medical records. Imaging data were recorded from the first and last scans. We utilized open-source image processing software (3D Slicer) for semi-automated segmentation and volume calculation. Consistent with previous literature, we calculated the relative growth rate (RGR, %/year) and annual volume change (AVC, cm3 /year) over time. RESULTS Four hundred and eight meningiomas were volumetrically characterized for a mean duration of 6.2 years. The Māori and Pasifika populations (n = 134/393) demonstrated a higher RGR (31.41 versus 14.33%/year) (P = 0.026) and AVC (2.05 versus 0.95 cm3 ) (P = 0.025) compared to the control population. They also presented at a younger age and had a higher rate of tumour multiplicity. Males represented only 17.6% of the cohort but exhibited a higher growth rate (AVC = 2.52 cm3 /year) than females (AVC = 0.99 cm3 /year) (P = 0034). CONCLUSIONS Māori and Pasifika populations in New Zealand have a higher incidence and volumetric growth rate of IM compared to a control population. This warrants further clinical, histopathological and genomic analysis.
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Affiliation(s)
- Brendan Davis
- Department of Neurosurgery, Auckland City Hospitalm, Grafton, Auckland, New Zealand
| | | | - Zaid Ibrahim
- Department of Neurosurgery, Auckland City Hospitalm, Grafton, Auckland, New Zealand
| | - Frances McHugh
- Department of Neurosurgery, Auckland City Hospitalm, Grafton, Auckland, New Zealand
| | - Clinton Turner
- Department of Anatomical Pathology, Lab Plus, Auckland City Hospital, Grafton, Auckland, New Zealand.,Neurosurgical Research Unit, Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Grafton, Auckland, New Zealand
| | - Sarah Olson
- Department of Neurosurgery, Auckland City Hospitalm, Grafton, Auckland, New Zealand
| | - Richard Faull
- Neurosurgical Research Unit, Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Grafton, Auckland, New Zealand
| | - Mike Dragunow
- Neurosurgical Research Unit, Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Grafton, Auckland, New Zealand
| | - Andrew J J Law
- Department of Neurosurgery, Auckland City Hospitalm, Grafton, Auckland, New Zealand
| | - Jason A Correia
- Department of Neurosurgery, Auckland City Hospitalm, Grafton, Auckland, New Zealand.,Neurosurgical Research Unit, Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Grafton, Auckland, New Zealand
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Pikis S, Mantziaris G, Islim AI, Peker S, Samanci Y, Nabeel AM, Reda WA, Abdelkarim K, El-Shehaby AMN, Tawadros SR, Emad RM, Delabar V, Mathieu D, Lee CC, Yang HC, Licsak R, Hanuska J, Alvarez RM, Patel DN, Kondziolka D, Bernstein K, Moreno NM, Tripathi M, Speckter H, Albert C, Bowden GN, Benveniste RJ, Lunsford DL, Jenkinson MD, Sheehan J. Stereotactic radiosurgery versus active surveillance for incidental, convexity meningiomas: a matched cohort analysis from the IMPASSE study. J Neurooncol 2022; 157:121-128. [DOI: 10.1007/s11060-022-03953-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/21/2022] [Indexed: 11/28/2022]
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Mantziaris G, Pikis S, Samanci Y, Peker S, Nabeel AM, Reda WA, Tawadros SR, El-Shehaby AMN, Abdelkarim K, Emad RM, Delabar V, Mathieu D, Lee CC, Yang HC, Liscak R, Hanuska J, Alvarez RM, Moreno NM, Tripathi M, Speckter H, Albert C, Benveniste RJ, Bowden GN, Patel DN, Kondziolka D, Bernstein K, Lunsford LD, Jenkinson MD, Islim AI, Sheehan J. Stereotactic radiosurgery versus active surveillance for asymptomatic, skull-based meningiomas: an international, multicenter matched cohort study. J Neurooncol 2022; 156:509-518. [DOI: 10.1007/s11060-021-03923-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/06/2021] [Indexed: 11/25/2022]
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28
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Amide proton transfer and chemical exchange saturation transfer MRI differentiates between growing and non-growing intracranial meningiomas: a pilot study. Clin Radiol 2022; 77:e295-e301. [DOI: 10.1016/j.crad.2021.12.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 12/24/2021] [Indexed: 11/17/2022]
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29
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Corniola MV, Roche PH, Bruneau M, Cavallo LM, Daniel RT, Messerer M, Froelich S, Gardner PA, Gentili F, Kawase T, Paraskevopoulos D, Régis J, Schroeder HW, Schwartz TH, Sindou M, Cornelius JF, Tatagiba M, Meling TR. Management of cavernous sinus meningiomas: Consensus statement on behalf of the EANS skull base section. BRAIN AND SPINE 2022; 2:100864. [PMID: 36248124 PMCID: PMC9560706 DOI: 10.1016/j.bas.2022.100864] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/08/2022] [Accepted: 01/16/2022] [Indexed: 01/04/2023]
Abstract
Introduction The evolution of cavernous sinus meningiomas (CSMs) might be unpredictable and the efficacy of their treatments is challenging due to their indolent evolution, variations and fluctuations of symptoms, heterogeneity of classifications and lack of randomized controlled trials. Here, a dedicated task force provides a consensus statement on the overall management of CSMs. Research question To determine the best overall management of CSMs, depending on their clinical presentation, size, and evolution as well as patient characteristics. Material and methods Using the PRISMA 2020 guidelines, we included literature from January 2000 to December 2020. A total of 400 abstracts and 77 titles were kept for full-paper screening. Results The task force formulated 8 recommendations (Level C evidence). CSMs should be managed by a highly specialized multidisciplinary team. The initial evaluation of patients includes clinical, ophthalmological, endocrinological and radiological assessment. Treatment of CSM should involve experienced skull-base neurosurgeons or neuro-radiosurgeons, radiation oncologists, radiologists, ophthalmologists, and endocrinologists. Discussion and conclusion Radiosurgery is preferred as first-line treatment in small, enclosed, pauci-symptomatic lesions/in elderly patients, while large CSMs not amenable to resection or WHO grade II-III are candidates for radiotherapy. Microsurgery is an option in aggressive/rapidly progressing lesions in young patients presenting with oculomotor/visual/endocrinological impairment. Whenever surgery is offered, open cranial approaches are the current standard. There is limited experience reported about endoscopic endonasal approach for CSMs and the main indication is decompression of the cavernous sinus to improve symptoms. Whenever surgery is indicated, the current trend is to offer decompression followed by radiosurgery. A thorough evaluation of cavernous sinus meningiomas by a multidisciplinary team is mandatory. Microsurgery should be considered for aggressive lesions in young patients. Extended endoscopic approaches can be effective when combined with radiotherapy. Stereotaxic radiotherapy and stereotaxic radiosurgery offer excellent tumour control in small/asymptomatic lesions .
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Graillon T, Tabouret E, Chinot O. Chemotherapy and targeted therapies for meningiomas: what is the evidence? Curr Opin Neurol 2021; 34:857-867. [PMID: 34629433 DOI: 10.1097/wco.0000000000001002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW Although most meningiomas are slow growing tumors mainly controlled by surgery with or without radiotherapy, aggressive meningiomas that fail these conventional treatments constitute a rare situation, a therapeutic challenge and an unmet need in neuro-oncology. RECENT FINDING Mutational landscape in recurrent high-grade meningiomas includes mainly NF2 mutation or 22q chromosomal deletion, whereas telomerase reverse transcriptase promoter, BAP-1 and CDK2NA mutations were also found in aggressive meningiomas. Pi3K-Akt-mTOR pathway is currently the most relevant intracellular signaling pathway target in meningiomas with preliminary clinical activity observed. Assessment of drug activity with progression free survival rate at 6 months is challenging in regard to meningioma growth rate heterogeneity, so that 3-dimensional growth rate before and during treatment could be considered in the future to selected new active drugs. SUMMARY Despite a low evidence level, some systemic therapies may be considered for patients with recurrent meningioma not amenable to further surgery or radiotherapy. In recurrent high-grade meningioma, everolimus-octreotide combination, bevacizumab, sunitinib and peptide receptor radionuclide therapy exhibit a signal of activity that may justify their clinical use. Despite a lack of clear signal of activity to date, immunotherapy may offer new perspectives in the treatment of these refractory tumors.
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Affiliation(s)
- Thomas Graillon
- Aix Marseille Univ, APHM, INSERM, MMG, UMR1251, La Timone Hospital, neurosurgery department Marseille, France
| | - Emeline Tabouret
- Aix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, La Timone Hospital, Neurooncology Department, Marseille, France
| | - Olivier Chinot
- Aix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, La Timone Hospital, Neurooncology Department, Marseille, France
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Sharma S, Sharma P, Kumar A. Diffuse Meningiomatosis without Neurofibromatosis: A Rare Diagnosis with Atypical Presentation. Indian J Radiol Imaging 2021; 31:768-771. [PMID: 34790335 PMCID: PMC8590543 DOI: 10.1055/s-0041-1736394] [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] [Indexed: 10/25/2022] Open
Abstract
Meningiomas are amongst the most common neoplasms of the central nervous system; however, "multiple meningiomas" or "meningiomatosis" account for < 10% of cases. The association with neurofibromatosis 2 is seen in ∼50% of cases. We report a case of 35-year-old female patient who presented with left eye proptosis, left forehead swelling, and multiple cranial nerve palsies predominantly on the left side. Imaging evaluation revealed innumerable en plaque meningiomas forming a sheet-like nodular thickening along the dura, causing marked hyperostosis and extending into the orbits, cavernous sinuses, sellar-suprasellar regions, various skull foramina, basal cisterns and into the cervical spinal canal causing mass effect on vital structures of the brain and cervical spinal cord. Similar lesions were found scattered in rest of the spine. We intend to highlight the role of imaging in accurately establishing the diagnosis and evaluating the extent and burden of disease in such rare cases.
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Affiliation(s)
- Smily Sharma
- Department of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Pankaj Sharma
- Department of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Amit Kumar
- Department of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
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Hosainey SAM, Bouget D, Reinertsen I, Sagberg LM, Torp SH, Jakola AS, Solheim O. Are there predilection sites for intracranial meningioma? A population-based atlas. Neurosurg Rev 2021; 45:1543-1552. [PMID: 34674099 PMCID: PMC8976805 DOI: 10.1007/s10143-021-01652-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/06/2021] [Accepted: 09/20/2021] [Indexed: 12/21/2022]
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.
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Affiliation(s)
| | - David Bouget
- Department of Health Research, SINTEF Technology and Society, Trondheim, Norway.,Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Technology and Society, Trondheim, Norway.,Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lisa Millgård Sagberg
- Department of Neurosurgery, St. Olavs Hospital, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sverre Helge Torp
- Department of Laboratory Medicine, Children and Women's Health, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Pathology and Medical Genetics, St. Olavs Hospital, Trondheim, Norway
| | - Asgeir Store Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
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Bray DP, Quillin JW, Press RH, Yang Y, Chen Z, Eaton BR, Olson JJ. Adjuvant Radiotherapy Versus Watchful Waiting for World Health Organization Grade II Atypical Meningioma: A Single-Institution Experience. Neurosurgery 2021; 88:E435-E442. [PMID: 33582821 DOI: 10.1093/neuros/nyaa580] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 11/04/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Atypical meningiomas (AMs) are meningiomas that have a higher rate of recurrence than grade I meningioma. Due to the higher risk of recurrence, adjuvant radiotherapy (RT) after resection of AM has been employed. At our institution, some neurosurgeons employ adjuvant RT on all primarily resected AMs, while others employ watchful waiting with serial imaging. OBJECTIVE To study the effect of adjuvant RT on newly resected AMs. METHODS A retrospective review of all AMs primarily resected at our institution from 1996 to 2018 was completed. Data on patient demographics, radiographic findings, use of adjuvant RT, time of follow-up, and recurrences were collected. Adjuvant RT was defined as RT that occurred within 6 mo of initial resection. RESULTS A total of 162 patients met the inclusion criteria. Gross total resection was achieved in 73% of cases. Average time until recurrence in the cohort was 37 mo. A total of 108 patients had adjuvant RT, while 54 patients did not. On multivariate survival analysis, sex, Simpson grade resection, and use of adjuvant RT were independent predictors of recurrence. Mean time to recurrence in patients who received adjuvant RT was 43.7 mo versus 34.7 mo for those who did not receive adjuvant RT. CONCLUSION This study includes the largest retrospective cohort of patients who have received adjuvant RT after primary resection of AM. Our results suggest that the use of adjuvant RT is independently associated with a lower chance of recurrence. These data suggest that practitioners can consider the use of adjuvant RT for newly resected AMs, regardless of Simpson grade resection.
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Affiliation(s)
- David P Bray
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
| | - Joseph W Quillin
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
| | - Robert H Press
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia
| | - Yilin Yang
- Winship Cancer Institute, Department of Bioinformatics and Biostatistics, Emory University Medical Center, Atlanta, Georgia
| | - Zhengjia Chen
- Winship Cancer Institute, Department of Bioinformatics and Biostatistics, Emory University Medical Center, Atlanta, Georgia
| | - Bree R Eaton
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
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Voormolen EHJ, Champagne PO, Roca E, Giammattei L, Passeri T, di Russo P, Sanchez MM, Bernat AL, Yoldjian I, Fontanel S, Weill A, Mandonnet E, Froelich S. Intracranial Meningiomas Decrease in Volume on Magnetic Resonance Imaging After Discontinuing Progestin. Neurosurgery 2021; 89:308-314. [PMID: 34166514 DOI: 10.1093/neuros/nyab175] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 03/14/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND The behavior of meningiomas under influence of progestin therapy remains unclear. OBJECTIVE To investigate the relationship between growth kinetics of intracranial meningiomas and usage of the progestin cyproterone acetate (PCA). METHODS This study prospectively followed 108 women with 262 intracranial meningiomas and documented PCA use. A per-meningioma analysis was conducted. Changes in meningioma volumes over time, and meningioma growth velocities, were measured on magnetic resonance imaging (MRI) after stopping PCA treatment. RESULTS Mean follow-up time was 30 (standard deviation [SD] 29) mo. Ten (4%) meningiomas were treated surgically at presentation. The other 252 meningiomas were followed after stopping PCA treatment. Overall, followed meningiomas decreased their volumes by 33% on average (SD 28%). A total of 188 (72%) meningiomas decreased, 51 (20%) meningiomas remained stable, and 13 (4%) increased in volume of which 3 (1%) were surgically treated because of radiological progression during follow-up after PCA withdrawal. In total, 239 of 262 (91%) meningiomas regressed or stabilized during follow-up. Subgroup analysis in 7 women with 19 meningiomas with follow-up before and after PCA withdrawal demonstrated that meningioma growth velocity changed statistically significantly (P = .02). Meningiomas grew (average velocity of 0.25 mm3/day) while patients were using PCA and shrank (average velocity of -0.54 mm3/day) after discontinuation of PCA. CONCLUSION Ninety-one percent of intracranial meningiomas in female patients with long-term PCA use decrease or stabilize on MRI after stopping PCA treatment. Meningioma growth kinetics change significantly from growth during PCA usage to shrinkage after PCA withdrawal.
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Affiliation(s)
- Eduard H J Voormolen
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | | | - Elena Roca
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Lorenzo Giammattei
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Thibault Passeri
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Paolo di Russo
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Miguel Marigil Sanchez
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Anne Laure Bernat
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Isabelle Yoldjian
- National Agency for the Safety of Medicines and Health Products (ANSM), Paris, France
| | | | - Alain Weill
- Scientific Interest Group-Health Product Epidemiology (ANSM-CNAM EPI-PHARE SIG), National Health Insurance, Department of Public Health Studies, Saint-Denis, France
| | - Emmanuel Mandonnet
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
| | - Sébastien Froelich
- Department of Neurosurgery, Lariboisiere Hospital, University of Paris Diderot, Paris, France
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Long-term outcome of Simpson IV meningioma resection: Would it improve with adjuvant SRS? Clin Neurol Neurosurg 2021; 207:106766. [PMID: 34166979 DOI: 10.1016/j.clineuro.2021.106766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Subtotal meningioma resection (STR) is often performed to minimize surgical morbidity. Nevertheless, only a few studies have reported on patient outcome after STR. We studied the long-term outcome of SIV (Simpson grade IV) resection and identified predictive factors of overall survival (OS), progression-free survival (PFS) and time to progression (TTP). METHODS A retrospective analysis was performed on 68 patients who underwent SIV resection of meningioma (grade I) from 2004 to 2010. Data were collected from clinical, surgical and pathology records and radiological imaging. Long-term outcomes were evaluated at least 10 years after surgery. RESULTS Permanent morbidity was 11.8%, 30-day mortality 2.9% and progression rate 50.0% for a median follow-up duration of 126.6 months. Median TTP was 86.2 months. Adjuvant SRS was the only significant factor associated with longer PFS (p = 0.0052) and TTP (p = 0.0079). Higher age (p = 0.0022), KPS (p = 0.0182), postoperative ECOG score (p = 0.0182) were reliable predictors of shortened OS and aSRS (p = 0.0445) was reliable predictor of longer OS. CONCLUSION STR in intracranial meningioma is still viable and often the only treatment option available in high-risk patients or high-risk tumors. Although surgical morbidity and mortality are high, the OS rate was 85.3% at 5 years and 79.4% at 10 years. Because of the considerable progression rate and rather a long term OS the adjuvant SRS should be considered following SIV resection.
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Boto J, Guatta R, Fitsiori A, Hofmeister J, Meling TR, Vargas MI. Is Contrast Medium Really Needed for Follow-up MRI of Untreated Intracranial Meningiomas? AJNR Am J Neuroradiol 2021; 42:1421-1428. [PMID: 34117017 DOI: 10.3174/ajnr.a7170] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 03/08/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Recent concerns relating to tissue deposition of gadolinium are favoring the use of noncontrast MR imaging whenever possible. The purpose of this study was to assess the necessity of gadolinium contrast for follow-up MR imaging of untreated intracranial meningiomas. MATERIALS AND METHODS One-hundred twenty-two patients (35 men, 87 women) with meningiomas who underwent brain MR imaging between May 2007 and May 2019 in our institution were included in this retrospective cohort study. We analyzed 132 meningiomas: 73 non-skull base (55%) versus 59 skull base (45%), 93 symptomatic (70%) versus 39 asymptomatic (30%). Fifty-nine meningiomas underwent an operation: 54 World Health Organization grade I (92%) and 5 World Health Organization grade II (8%). All meningiomas were segmented on T1 3D-gadolinium and 2D-T2WI. Agreement between T1 3D-gadolinium and 2D-T2WI segmentations was assessed by the intraclass correlation coefficient. RESULTS The mean time between MR images was 1485 days (range, 760-3810 days). There was excellent agreement between T1 3D-gadolinium and T2WI segmentations (P < .001): mean tumor volume (T1 3D-gadolinium: 9012.15 [SD, 19,223.03] mm3; T2WI: 8528.45 [SD, 18,368.18 ] mm3; intraclass correlation coefficient = 0.996), surface area (intraclass correlation coefficient = 0.989), surface/volume ratio (intraclass correlation coefficient = 0.924), maximum 3D diameter (intraclass correlation coefficient = 0.986), maximum 2D diameter in the axial (intraclass correlation coefficient = 0.990), coronal (intraclass correlation coefficient = 0.982), and sagittal planes (intraclass correlation coefficient = 0.985), major axis length (intraclass correlation coefficient = 0.989), minor axis length (intraclass correlation coefficient = 0.992), and least axis length (intraclass correlation coefficient = 0.988). Tumor growth also showed good agreement (P < .001), estimated as a mean of 461.87 [SD, 2704.1] mm3/year on T1 3D-gadolinium and 556.64 [SD, 2624.02 ] mm3/year on T2WI. CONCLUSIONS Our results show excellent agreement between the size and growth of meningiomas derived from T1 3D-gadolinium and 2D-T2WI, suggesting that the use of noncontrast MR imaging may be appropriate for the follow-up of untreated meningiomas, which would be cost-effective and avert risks associated with contrast media.
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Affiliation(s)
- J Boto
- From the Division of Neuroradiology (J.B., A.F., M.I.V.), Geneva University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - R Guatta
- Division of Neurosurgery (R.G., T.R.M.), Lugano Regional Hospital (Civic), Lugano, Switzerland
| | - A Fitsiori
- From the Division of Neuroradiology (J.B., A.F., M.I.V.), Geneva University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - J Hofmeister
- Division of Radiology (J.H.), Geneva University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - T R Meling
- Division of Neurosurgery (R.G., T.R.M.), Lugano Regional Hospital (Civic), Lugano, Switzerland
| | - M I Vargas
- From the Division of Neuroradiology (J.B., A.F., M.I.V.), Geneva University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland
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Sheehan J, Pikis S, Islim A, Chen CJ, Bunevicius A, Peker S, Samanci Y, Nabeel AM, Reda WA, Tawadros SR, El-Shehaby AMN, Abdelkarim K, Emad RM, Delabar V, Mathieu D, Lee CC, Yang HC, Liscak R, Hanuska J, Alvarez RM, Patel D, Kondziolka D, Moreno NM, Tripathi M, Speckter H, Albert C, Bowden GN, Benveniste RJ, Lunsford LD, Jenkinson MD. An International Multicenter Matched Cohort Analysis of Incidental Meningioma Progression During Active Surveillance or After Stereotactic Radiosurgery: The IMPASSE Study. Neuro Oncol 2021; 24:116-124. [PMID: 34106275 DOI: 10.1093/neuonc/noab132] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The optimal management of patients with an incidental meningiomas remains unclear. The aim of this study was to characterize the radiologic and neurological outcomes of expectant and SRS management of asymptomatic meningioma patients. METHODS Using data from 14 centers across 10 countries, the study compares SRS outcomes to active surveillance of asymptomatic meningiomas. Local tumor control of asymptomatic meningiomas and development of new neurological deficits attributable to the tumor were evaluated in the SRS and conservatively managed groups. RESULTS In unmatched cohorts, 727 meningioma patients underwent SRS and were followed for a mean of 57.2 months. In the conservatively managed cohort, 388 patients were followed for a mean of 43.5 months. Tumor control was 99.0% of SRS and 64.2% of conservatively managed patients (p<0.001; OR 56.860 (95%CI 26.253-123.150))). New neurological deficits were 2.5% in the SRS and 2.8% of conservatively managed patients (p=0.764; OR 0.890 (95% CI 0.416-1.904)). After 1:1 propensity matching for patient age, tumor volume, location, and imaging follow-up, tumor control in the SRS and conservatively managed cohorts was 99.4% and 62.1%, respectively (p<0.001; OR 94.461 (95% CI 23.082-386.568)). In matched cohorts, new neurological deficits were noted in 2.3% of SRS treated and 3.2% of conservatively managed patients (p=0.475; OR 0.700 (95% CI 0.263-1.863)). CONCLUSIONS SRS affords superior radiologic tumor control compared to active surveillance without increasing the risk of neurological deficits in asymptomatic meningioma patients. While SRS and active surveillance are reasonable options, SRS appears to alter the natural history of asymptomatic meningiomas including tumor progression in the majority of patients treated.
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Affiliation(s)
- Jason Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Stylianos Pikis
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Abdurrahman Islim
- Department of Neurosurgery, University of Liverpool & The Walton Centre NHS Trust, Lower Lane, Liverpool, UK.,Institute of Systems, Molecular and Integrative Biology, University of Liverpool & The Walton Centre NHS Trust, Lower Lane, Liverpool, UK
| | - Ching-Jen Chen
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Adomas Bunevicius
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Selcuk Peker
- Department of Neurosurgery, Koc University School of Medicine, Davutpaşa, Topkapı, Istanbul, Turkey
| | - Yavuz Samanci
- Department of Neurosurgery, Koc University School of Medicine, Davutpaşa, Topkapı, Istanbul, Turkey
| | - Ahmed M Nabeel
- Gamma Knife Center Cairo- National Cancer Institute, Cairo University, Cairo, Egypt.,Nasser Institute, Department of Neurosurgery, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Wael A Reda
- Gamma Knife Center Cairo- National Cancer Institute, Cairo University, Cairo, Egypt.,Benha University, Benha, Egypt and Ain Shams University, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Sameh R Tawadros
- Gamma Knife Center Cairo- National Cancer Institute, Cairo University, Cairo, Egypt.,Benha University, Benha, Egypt and Ain Shams University, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Amr M N El-Shehaby
- Gamma Knife Center Cairo- National Cancer Institute, Cairo University, Cairo, Egypt.,Benha University, Benha, Egypt and Ain Shams University, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Khaled Abdelkarim
- Gamma Knife Center Cairo- National Cancer Institute, Cairo University, Cairo, Egypt.,Benha University, Benha, Egypt and Ain Shams University, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Reem M Emad
- Gamma Knife Center Cairo- National Cancer Institute, Cairo University, Cairo, Egypt.,Cairo, Egypt and Department of Radiation Oncology, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Violaine Delabar
- Division of Neurosurgery, Centre HospitalierUniversitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, Qc, Canada
| | - David Mathieu
- Division of Neurosurgery, Centre HospitalierUniversitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, Qc, Canada
| | - Cheng-Chia Lee
- Department of Neurosurgery, School of Medicine, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan and National Yang-Ming University, Beitou District, Taipei City, Taiwan
| | - Huai-Che Yang
- Department of Neurosurgery, School of Medicine, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan and National Yang-Ming University, Beitou District, Taipei City, Taiwan
| | - Roman Liscak
- Department of Radiation and Stereotactic Neurosurgery, Na Homolce Hospital, Roentgenova Czech Republic
| | - Jaromir Hanuska
- Department of Radiation and Stereotactic Neurosurgery, Na Homolce Hospital, Roentgenova Czech Republic
| | | | - Dev Patel
- Department of Neurosurgery, New York University, Bevington Hills Ct. Cary, NC. USA
| | - Douglas Kondziolka
- Department of Neurosurgery, New York University, Bevington Hills Ct. Cary, NC. USA.,Department of Radiation Oncology, New York University, Bevington Hills Ct. Cary, NC. USA
| | | | - Manjul Tripathi
- Department of Neurosurgery and Radiotherapy, Nehru Hospital Sector, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Herwin Speckter
- Department of Radiology, Dominican Gamma Knife Center and CEDIMAT, Plaza de la Salud, Santo Domingo, DN, Dominican Republic
| | - Camilo Albert
- Department of Radiology, Dominican Gamma Knife Center and CEDIMAT, Plaza de la Salud, Santo Domingo, DN, Dominican Republic
| | - Greg N Bowden
- Department of Neurosurgery, University of Alberta, Canada, Mackenzie Health Sciences Centre, Edmonton, Alberta, Canada
| | - Ronald J Benveniste
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, USA
| | - L Dade Lunsford
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, USA
| | - Michael D Jenkinson
- Department of Neurosurgery, University of Liverpool & The Walton Centre NHS Trust, Lower Lane, Liverpool, UK.,Institute of Systems, Molecular and Integrative Biology, University of Liverpool & The Walton Centre NHS Trust, Lower Lane, Liverpool, UK
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Delgado-López PD, Montalvo-Afonso A, Martín-Alonso J, Martín-Velasco V, Castilla-Díez JM, Galacho-Harriero AM, Ortega-Cubero S, Sánchez-Rodríguez A, Rodríguez-Salazar A. Volumetric growth rate of incidental asymptomatic meningiomas: a single-center prospective cohort study. Acta Neurochir (Wien) 2021; 163:1665-1675. [PMID: 33751215 DOI: 10.1007/s00701-021-04815-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 03/16/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Decision about treatment of incidentally found intracranial meningiomas is controversial and conditioned by the growth potential of these tumors. We aimed to evaluate the growth rate of a cohort of incidentally found asymptomatic meningiomas and to analyze their natural course and the need for eventual treatment. METHODS A total of 193 patients harboring intracranial meningiomas (85 with 109 incidental and 108 with 112 symptomatic) were included between 2015 and 2019. In the prospective cohort of incidental meningiomas, we measured size at diagnosis, volumetric growth rate (by segmentation software), appearance of symptoms, and need for surgery or radiotherapy. Progression-free survival and risk factors for growth were assessed with Kaplan-Meier survival and Cox regression analyses. RESULTS Among incidental meningiomas, 94/109 (86.2%) remained untreated during a median follow-up of 49.3 months. Tumor growth was observed in 91 (83.5%) and > 15% growth in 40 (36.7%). Neurological symptoms developed in 1 patient (1.2%). Volume increased an average of 0.51 cm3/year (95% CI, 0.20-0.82). Nine patients were operated (9.2%) and 4 underwent radiotherapy (4.7%). Treatment-related complication rates of incidental and symptomatic meningiomas were 0% and 35.4%, respectively. Persistent neurological defects occurred in 46 (40.7%) of symptomatic versus 2 (2.3%) of incidental meningiomas. Among covariates, only brain edema resulted in an increased risk of significant tumor growth in the female subgroup (Cox regression HR 2.96, 95% CI 1.02-8.61, p = 0.046). Size at diagnosis was significantly greater in the symptomatic meningioma group (37.33 cm3 versus 4.74 cm3, p < 0.001). CONCLUSIONS Overall, 86% of incidentally found meningiomas remained untreated over the first 4 years of follow-up. The majority grew within the 20% range, yet very few developed symptoms. Treatment-related morbidity was absent in the incidental meningioma group.
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Affiliation(s)
- Pedro David Delgado-López
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain.
| | - Antonio Montalvo-Afonso
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
| | - Javier Martín-Alonso
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
| | - Vicente Martín-Velasco
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
| | - José Manuel Castilla-Díez
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
| | | | - Sara Ortega-Cubero
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
| | - Antonio Sánchez-Rodríguez
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
| | - Antonio Rodríguez-Salazar
- Neurosurgery Department, Hospital Universitario de Burgos, Avda Islas Baleares 3, 09006, Burgos, Spain
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In Regard to Lee et al. Int J Radiat Oncol Biol Phys 2021; 110:621-622. [PMID: 33989590 DOI: 10.1016/j.ijrobp.2020.12.061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 12/28/2020] [Indexed: 11/23/2022]
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Pamir MN, Özduman K. Clinoidal meningiomas. HANDBOOK OF CLINICAL NEUROLOGY 2021; 170:25-35. [PMID: 32586497 DOI: 10.1016/b978-0-12-822198-3.00025-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Meningiomas that arise at the anterior clinoid process are termed clinoidal meningiomas and are characterized by unique anatomopathologic correlates that result in unique clinical behavior. According to their site of origin, clinoidal meningiomas can be further divided into three subgroups, which also differ in their clinical presentation and surgical outcome. Clinoidal meningiomas are centered on the anterior clinoid process and grow upward with a small pedicle while causing hyperostosis of the anterior clinoid process itself. The optic nerve is frequently compressed and visual symptoms occur early and in most cases. Upon surgical resection, visual symptoms improve in a significant portion of patients. Cavernous sinus invasion is infrequent. With increasing size, however, clinoidal meningiomas tend to invade surrounding neurovascular structures including distal carotid branches, which results in poor surgical outcome. Most clinoidal meningioma cases are managed with surgery where the anterior clinoid process is also removed along with the tumor either with an extradural or an intradural approach. Standard as well as minimal invasive and skull base approaches are advocated by different groups, but the results are comparable. Surgical results are very good in most cases with low mortality and morbidity. Invasion of the internal carotid artery, optic nerve, or distal carotid branches increase the risk of a postoperative residual. Recurrences are observed and usually managed with Gamma-Knife radiosurgery.
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Affiliation(s)
- M Necmettin Pamir
- Department of Neurosurgery, Acıbadem University, School of Medicine, Istanbul, Turkey.
| | - Koray Özduman
- Department of Neurosurgery, Acıbadem University, School of Medicine, Istanbul, Turkey
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Abstract
Meningiomas are benign tumors that arise from the meningo-epithelial cells of the arachnoid dura and account for approximately one-third of all adult intracranial tumors. With the evolution of diagnostic imaging and the average life span increasing, meningiomas are being detected more frequently in an older population. In the elderly population, defined by patients aged 60 years or older, meningiomas are the most incidentally detected benign primary brain tumor. As a patient ages, the rate of growth of the meningioma decreases, while comorbidities increase, making the elderly population a unique group when it comes to decision-making for treatment. Treatment options for intracranial meningiomas in the elderly include surgery, radiosurgery, or observation. Although age may have some part in treatment considerations, comorbidities, overall state of health, and tumor characteristics play a more significant role in patient outcome. This chapter will investigate the incidence, evaluation, treatment, and outcomes of intracranial meningiomas in the elderly population.
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Islim AI, Kolamunnage-Dona R, Mohan M, Moon RDC, Crofton A, Haylock BJ, Rathi N, Brodbelt AR, Mills SJ, Jenkinson MD. A prognostic model to personalize monitoring regimes for patients with incidental asymptomatic meningiomas. Neuro Oncol 2021; 22:278-289. [PMID: 31603516 PMCID: PMC7032634 DOI: 10.1093/neuonc/noz160] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Asymptomatic meningioma is a common incidental finding with no consensus on the optimal management strategy. We aimed to develop a prognostic model to guide personalized monitoring of incidental meningioma patients. METHODS A prognostic model of disease progression was developed in a retrospective cohort (2007-2015), defined as: symptom development, meningioma-specific mortality, meningioma growth or loss of window of curability. Secondary endpoints included non-meningioma-specific mortality and intervention. RESULTS Included were 441 patients (459 meningiomas). Over a median of 55 months (interquartile range, 37-80), 44 patients had meningioma progression and 57 died (non-meningioma-specific). Forty-four had intervention (at presentation, n = 6; progression, n = 20; nonprogression, n = 18). Model parameters were based on statistical and clinical considerations and included: increasing meningioma volume (hazard ratio [HR] 2.17; 95% CI: 1.53-3.09), meningioma hyperintensity (HR 10.6; 95% CI: 5.39-21.0), peritumoral signal change (HR 1.58; 95% CI: 0.65-3.85), and proximity to critical neurovascular structures (HR 1.38; 95% CI: 0.74-2.56). Patients were stratified based on these imaging parameters into low-, medium- and high-risk groups and 5-year disease progression rates were 3%, 28%, and 75%, respectively. After 5 years of follow-up, the risk of disease progression plateaued in all groups. Patients with an age-adjusted Charlson comorbidity index ≥6 (eg, an 80-year-old with chronic kidney disease) were 15 times more likely to die of other causes than to receive intervention at 5 years following diagnosis, regardless of risk group. CONCLUSIONS The model shows that there is little benefit to rigorous monitoring in low-risk and older patients with comorbidities. Risk-stratified follow-up has the potential to reduce patient anxiety and associated health care costs.
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Affiliation(s)
- Abdurrahman I Islim
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK.,School of Medicine, University of Liverpool, Liverpool, UK.,Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | | | - Midhun Mohan
- School of Medicine, University of Liverpool, Liverpool, UK.,Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Richard D C Moon
- School of Medicine, University of Liverpool, Liverpool, UK.,Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Anna Crofton
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Brian J Haylock
- Department of Clinical Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, UK
| | - Nitika Rathi
- Department of Neuropathology, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Andrew R Brodbelt
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Samantha J Mills
- Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Michael D Jenkinson
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK.,Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
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Collin A, Copol C, Pianet V, Colin T, Engelhardt J, Kantor G, Loiseau H, Saut O, Taton B. Spatial mechanistic modeling for prediction of the growth of asymptomatic meningiomas. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 199:105829. [PMID: 33348072 DOI: 10.1016/j.cmpb.2020.105829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 10/31/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND OBJECTIVE Mathematical modeling of tumor growth draws interest from the medical community as they have the potential to improve patients' care and the use of public health resources. The main objectives of this work are to model the growth of meningiomas - slow-growing benign tumors requiring extended imaging follow-up - and to predict tumor volume and shape at a later desired time using only two times examinations. METHODS We develop two variants of a 3D partial differential system of equations (PDE) which yield after a spatial integration systems of ordinary differential equations (ODE) that relate tumor volume with time. Estimation of models parameters is a crucial step to obtain a personalized model for a patient that can be used for descriptive or predictive purposes. As PDE and ODE systems share the same parameters, they are both estimated by fitting the ODE systems to the tumor volumes obtained from MRI examinations acquired at different times. A population approach allows to compensate for sparse sampling times and measurement uncertainties by constraining the variability of the parameters in the population. RESULTS Description capabilities of the models are investigated in 39 patients with benign asymptomatic meningiomas who had had at least three surveillance MRI examinations. The two models can fit to the data accurately and more realistically than a naive linear regression. Prediction performances are validated for 33 patients using a population approach. Mean relative errors in volume predictions are less than 10% with ODE systems versus 12.5% with the naive linear model using only two times examinations. Concerning the shape, the mean Sørensen-Dice coefficients are 85% with the PDE systems in a subset of 10 representative patients. CONCLUSIONS Our strategy - based on personalization of mathematical model - provides a good insight on meningioma growth and may help decide whether to extend the follow-up or to treat the tumor.
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Affiliation(s)
- Annabelle Collin
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence, F-33400, France.
| | - Cédrick Copol
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence, F-33400, France
| | - Vivien Pianet
- Sophia Genetics, Cité de la Photonique, Pessac, F-33600, France
| | - Thierry Colin
- Sophia Genetics, Cité de la Photonique, Pessac, F-33600, France
| | - Julien Engelhardt
- Service de Neurochirurgie B, Groupe Hospitalier Pellegrin, CHU Bordeaux, Bordeaux, F-33000, France
| | - Guy Kantor
- Département de Radiothérapie, Institut Bergonié, Bordeaux F-33076, France
| | - Hugues Loiseau
- Service de Neurochirurgie B, Groupe Hospitalier Pellegrin, CHU Bordeaux, Bordeaux, F-33000, France; EA 7435 - IMOTION, Univ. Bordeaux, Bordeaux, F-33076, France
| | - Olivier Saut
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence, F-33400, France
| | - Benjamin Taton
- Univ. Bordeaux, Inria Bordeaux-Sud-Ouest, Bordeaux INP, CNRS, IMB, UMR 5251, Talence, F-33400, France; Service de Néphrologie - Transplantation - Dialyse - Aphérèses, Groupe Hospitalier Pellegrin, CHU Bordeaux, Bordeaux, F-33000, France
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Materi J, Mampre D, Ehresman J, Rincon-Torroella J, Chaichana KL. Predictors of recurrence and high growth rate of residual meningiomas after subtotal resection. J Neurosurg 2021; 134:410-416. [PMID: 31899874 DOI: 10.3171/2019.10.jns192466] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 10/28/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The extent of resection has been shown to improve outcomes in patients with meningiomas. However, resection can be complicated by constraining local anatomy, leading to subtotal resections. An understanding of the natural history of residual tumors is necessary to better guide postsurgical management and minimize recurrence. This study seeks to identify predictors of recurrence and high growth rate following subtotal resection of intracranial meningiomas. METHODS Adult patients who underwent primary surgical resection of a WHO grade I meningioma at a tertiary care institution from 2007-2017 were retrospectively reviewed. Volumetric tumor measurements were made on patients with subtotal resections. Stepwise multivariate proportional hazards regression analyses were performed to identify factors associated with time to recurrence, as well as stepwise multivariate regression analyses to assess for factors associated with high postoperative growth rate. RESULTS Of the 141 patients (18%) who underwent radiographic subtotal resection of an intracranial meningioma during the reviewed period, 74 (52%) suffered a recurrence, in which the median (interquartile range, IQR) time to recurrence was 14 (IQR 6-34) months. Among those tumors subtotally resected, the median pre- and postoperative tumor volumes were 17.19 cm3 (IQR 7.47-38.43 cm3) and 2.31 cm3 (IQR 0.98-5.16 cm3), which corresponded to a percentage resection of 82% (IQR 68%-93%). Postoperatively, the median growth rate was 0.09 cm3/year (IQR 0-1.39 cm3/year). Factors associated with recurrence in multivariate analysis included preoperative tumor volume (hazard ratio [HR] 1.008,95% confidence interval [CI] 1.002-1.013, p = 0.008), falcine location (HR 2.215, 95% CI 1.179-4.161, p = 0.021), tentorial location (HR 2.410, 95% CI 1.203-4.829, p = 0.024), and African American race (HR 1.811, 95% CI 1.042-3.146, p = 0.044). Residual volume (RV) was associated with high absolute annual growth rate (odds ratio [OR] 1.175, 95% CI 1.078-1.280, p < 0.0001), with the maximum RV benefit at < 5 cm3 (OR 4.056, 95% CI 1.675-9.822, p = 0.002). CONCLUSIONS By identifying predictors of recurrence and growth rate, this study helps identify potential patients with a high chance of recurrence following subtotal resection, which are those with large preoperative tumor volume, falcine location, tentorial location, and African American race. Higher RVs were associated with tumors with higher postoperative growth rates. Recurrences typically occurred 14 months after surgery.
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Affiliation(s)
- Joshua Materi
- 1Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland; and
| | - David Mampre
- 1Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland; and
| | - Jeff Ehresman
- 1Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland; and
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Intracranial Mass Lesions. Neurology 2021. [DOI: 10.1007/978-3-030-55598-6_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Czernicki T. Surgical Management of Intracranial Meningiomas in the Elderly: Early and Long-term Outcomes. Clin Interv Aging 2020; 15:2439-2451. [PMID: 33408468 PMCID: PMC7779800 DOI: 10.2147/cia.s283678] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 12/02/2020] [Indexed: 11/23/2022] Open
Abstract
Purpose In view of the risk associated with the surgical treatment of intracranial meningiomas in the elderly population due to the physiology of aging and multiple comorbidities, an attempt was made to identify factors influencing outcomes and to define the subgroup of patients who should not be operated on due to poor results. Patients and Methods A retrospective analysis of 58 patients over 70 years old with assessment of short-term and long-term outcomes. Scores by previously described CRGS, SKALE, and GSS grading systems were also calculated for our patients. Results Neurological morbidity was only associated with a critical location according to the SKALE grading system (P=0.02). Six patients (10.3%) died. Mortality was associated with the Karnofsky Performance Scale score (KPS ≤60 vs KPS ≥70; P=0.0162), the American Society of Anesthesiologists scale status (ASA 1 or 2 vs ASA 3; P=0.0022) and the WHO grade of meningiomas (P=0.012). Risk factors for tumor recurrence (six patients) were WHO grade (P=0.00048) and Simpson grade of resection (P=0.0437). At follow-up, excluding patients who died due to surgery or recurrence (15.5%), most patients improved (50%) or remained unchanged (25.9%) in relation to the preoperative KPS status. Conclusion Postoperative neurological deterioration was only associated with a critical tumor location (skull base, eloquent area, large vessels involvement by the tumor). Due to a significantly higher risk of death, careful consideration should be taken for surgery in patients in a poor functional condition (KPS ≤60) or in a poor physical condition (ASA 3 status). An improvement or at least nonworsening of the neurological status in relation to the preoperative condition was observed in the majority of patients during follow-up.
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Affiliation(s)
- Tomasz Czernicki
- Department of Neurosurgery, Medical University of Warsaw, Warsaw, Poland
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Psychological Burden in Meningioma Patients under a Wait-and-Watch Strategy and after Complete Resection Is High-Results of a Prospective Single Center Study. Cancers (Basel) 2020; 12:cancers12123503. [PMID: 33255551 PMCID: PMC7761113 DOI: 10.3390/cancers12123503] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 11/26/2022] Open
Abstract
Simple Summary Asymptomatic meningiomas are found in 1–2% of cranial MRIs. Most of them demonstrate no or minimal growth and are observed with follow-up imaging. However, the patients face a diagnosis of a brain tumor. So far, there is no established distress screening for such patients. In this study, we evaluated the psychological burden of patients with small asymptomatic meningiomas and compared it with patients after complete meningioma resection and excellent postoperative outcome. We found a high prevalence of anxiety and depression symptoms in both study groups. This demonstrates that even patients with benign asymptomatic intracranial tumors might be under significant distress and need psychooncological support. Abstract The diagnosis of intracranial meningiomas as incidental findings is increasing by growing availability of MRI diagnostics. However, the psychological distress of patients with incidental meningiomas under a wait-and-watch strategy is unknown. Therefore, we aimed to compare the psychosocial situation of meningioma patients under wait-and-watch to patients after complete resection to bridge this gap. The inclusion criteria for the prospective monocenter study were either an incidental meningioma under a wait-and-watch strategy or no neurologic deficits after complete resection. Sociodemographic, clinical, and health-related quality of life and clinical data were assessed. Psychosocial factors were measured by the Distress Thermometer (DT), Hospital Anxiety and Depression Scale (HADS), Brief Fatigue Inventory (BFI), and the Short Form (SF-36). A total of 62 patients were included (n = 51 female, mean age 61 (SD 13) years). According to HADS, the prevalence of anxiety was 45% in the postoperative and 42% in the wait-and-watch group (p = 0.60), and depression was 61% and 87%, respectively (p = 0.005). In total, 43% of patients under wait-and-watch and 37% of patients in the postoperative group scored ≥6 on the DT scale. SF-36 scores were similar in all categories except general health (p = 0.005) and physical component aggregate score (43.7 (13.6) vs. 50.5 (9.5), (p = 0.03), both lower in the wait-and-watch group. Multivariate analysis revealed the wait-and-watch strategy was associated with a 4.26-fold higher risk of a pathological depression score based on HADS (p = 0.03). This study demonstrates a high prevalence of psychological distress in meningioma patients. Further evaluation is necessary to identify the patients in need of psychooncological support.
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Fu J, Wu L, Peng C, Yang X, You H, Cao L, Deng Y, Yu J. Initial Gamma Knife Radiosurgery for Large or Documented Growth Asymptomatic Meningiomas: Long-Term Results From a 27-Year Experience. Front Oncol 2020; 10:598582. [PMID: 33330094 PMCID: PMC7732633 DOI: 10.3389/fonc.2020.598582] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 10/20/2020] [Indexed: 12/04/2022] Open
Abstract
Objective The aims of this study were to investigate the long-term outcomes of initial Gamma Knife radiosurgery (GKRS) for large (≥20 mm) or documented growth asymptomatic meningiomas. Design and Methods This was a single-center retrospective study. Fifty-nine patients with large (≥20 mm) or documented growth asymptomatic meningiomas undergoing initial GKRS were enrolled. The median age was 56 (range, 27–83) years. The median time of follow-up was 66.8 (range, 24.6–245.6) months, and the median tumor margin dose was 13.0 Gy (range, 11.6–22.0 Gy). Results Tumors shrunk in 35 patients (59.3%) and remained stable in 23 (39.0%). One patient (1.7%) experienced radiological progression at 54 months after GKRS. The PFS was 100%, 97%, and 97% at 3, 5, and 10 years, respectively. Nine patients (15.3%) occurred new neurological symptoms or signs at a median time of 8.1 (range, 3.0–81.6) months. The symptom PFS was 90% and 78% at 5 and 10 years, respectively. Fifteen patients (25.4%) occurred peritumoral edema (PTE) at a median time of 7.2 (range, 2.0–81.6) months. One patient underwent surgical resection for severe PTE. In univariate and multivariate analysis, Only tumor size (≥25 mm) and maximum dose (≥34 Gy) were significantly associated with PTE [hazard ratio (HR)= 3.461, 95% confidence interval (CI)=1.157-10.356, p=0.026 and HR=3.067, 95% CI=1.068-8.809, P=0.037, respectively]. Conclusions In this study, initial GKRS can provide a high tumor control rate as well as an acceptable rate of complications in large or documented growth asymptomatic meningiomas. GKRS may be an alternative initial treatment for asymptomatic meningiomas.
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Affiliation(s)
- Junyi Fu
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lisha Wu
- Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chao Peng
- Department of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xin Yang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongji You
- Department of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Linhui Cao
- Department of Traditional Chinese Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yinhui Deng
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinxiu Yu
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Bashir A, Vestergaard MB, Marner L, Larsen VA, Ziebell M, Fugleholm K, Law I. PET imaging of meningioma with 18F-FLT: a predictor of tumour progression. Brain 2020; 143:3308-3317. [DOI: 10.1093/brain/awaa267] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 05/08/2020] [Accepted: 06/29/2020] [Indexed: 11/15/2022] Open
Abstract
Abstract
We have previously reported that PET with 3′-deoxy-3′-18F-fluorothymidine (18F-FLT) provides a non-invasive assessment of cell proliferation in vivo in meningiomas. The purpose of this prospective study was to evaluate the potential of 18F-FLT PET in predicting subsequent tumour progression in asymptomatic meningiomas. Forty-three adult patients harbouring 46 MRI-presumed (n = 40) and residual meningiomas from previous surgery (n = 6) underwent a 60-min dynamic 18F-FLT PET scan prior to radiological surveillance. Maximum and mean tumour-to-blood ratios (TBRmax, TBRmean) of tracer radioactivity were calculated. Tumour progression was defined according to the latest published trial end-point criteria for bidimensional (2D) and corresponding yet exploratory volumetric measurements from the Response Assessment of Neuro-Oncology (RANO) workgroup. Independent-sample t-test, Pearson correlation coefficient, Cox regression, and receiver operating characteristic (ROC) curve analyses were used whenever appropriate. The median follow-up time after 18F-FLT PET imaging was 18 months (range 5–33.5 months). A high concordance rate (91%) was found with regard to disease progression using 2D-RANO (n = 11) versus volumetric criteria (n = 10). Using 2D-RANO criteria, 18F-FLT uptake was significantly increased in patients with progressive disease, compared to patients with stable disease (TBRmax, 5.5 ± 1.3 versus 3.6 ± 1.1, P < 0.0001; TBRmean, 3.5 ± 0.8 versus 2.4 ± 0.7, P < 0.0001). ROC analysis yielded optimal thresholds of 4.4 for TBRmax [sensitivity 82%, specificity 77%, accuracy 78%, and area under curve (AUC) 0.871; P < 0.0001] and 2.8 for TBRmean (sensitivity 82%, specificity 77%, accuracy 78%, AUC 0.848; P = 0.001) for early differentiation of patients with progressive disease from patients with stable disease. Upon excluding patients with residual meningioma or patients with stable disease with less than 12 months follow-up, the thresholds remained unchanged with similar diagnostic accuracies. Moreover, positive correlations were found between absolute and relative tumour growth rates and 18F-FLT uptake (r < 0.513, P < 0.015) that remained similar when excluding patients with residual meningioma or patients with stable disease and shorter follow-up period. Diagnostic accuracies were slightly inferior at 76% when assessing disease progression using volumetric criteria, while the thresholds remained unchanged. Multivariate analysis revealed that TBRmax was the only independent predictor of tumour progression (P < 0.046), while age, gender, baseline tumour size, tumour location, peritumoural oedema, and residual meningioma had no influence. The study reveals that 18F-FLT PET is a promising surrogate imaging biomarker for predicting subsequent tumour progression in treatment-naïve and asymptomatic residual meningiomas.
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Affiliation(s)
- Asma Bashir
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Mark B Vestergaard
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Denmark
| | - Vibeke A Larsen
- Department of Radiology, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Morten Ziebell
- Department of Neurosurgery, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Kåre Fugleholm
- Department of Neurosurgery, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
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Raheja A, Couldwell WT. Cavernous Sinus Meningioma with Orbital Involvement: Algorithmic Decision-Making and Treatment Strategy. Skull Base Surg 2020; 81:348-356. [PMID: 33072476 DOI: 10.1055/s-0040-1715471] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Cavernous sinus meningioma (CSM) with orbital involvement presents a unique challenge to modern-day neurosurgeons. In the modern era of preventive medicine with enhanced screening tools, physicians encounter CSM more frequently. An indolent natural history, late clinical presentation, close proximity to vital neurovascular structures, poor tumor-to-normal tissue interface, and high risk of iatrogenic morbidity and mortality with aggressive resection add to the complexity of decision-making and optimal management of these lesions. The clinical dilemma of deciding whether to observe or intervene first for asymptomatic lesions remains an enigma in current practice. The concepts of management for CSM with orbital involvement have gradually evolved from radical resection to a more conservative surgical approach with maximal safe resection, with the specific goals of preserving function and reducing proptosis. This change in surgical attitude has enabled better long-term functional outcomes with conservative approaches as compared with functionally disabled outcomes resulting from the pursuit of anatomical cure from disease with radical resection. The advent of stereotactic radiosurgery as an adjunct tool to treat residual CSM has greatly shaped our resection principles and planning. Interdisciplinary collaboration for multimodality management is key to successful management of these difficult to treat lesions and tailor management as per individual's requirement.
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Affiliation(s)
- Amol Raheja
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - William T Couldwell
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, United States
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