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LaBella D, Khanna O, McBurney-Lin S, Mclean R, Nedelec P, Rashid AS, Tahon NH, Altes T, Baid U, Bhalerao R, Dhemesh Y, Floyd S, Godfrey D, Hilal F, Janas A, Kazerooni A, Kent C, Kirkpatrick J, Kofler F, Leu K, Maleki N, Menze B, Pajot M, Reitman ZJ, Rudie JD, Saluja R, Velichko Y, Wang C, Warman PI, Sollmann N, Diffley D, Nandolia KK, Warren DI, Hussain A, Fehringer JP, Bronstein Y, Deptula L, Stein EG, Taherzadeh M, Portela de Oliveira E, Haughey A, Kontzialis M, Saba L, Turner B, Brüßeler MMT, Ansari S, Gkampenis A, Weiss DM, Mansour A, Shawali IH, Yordanov N, Stein JM, Hourani R, Moshebah MY, Abouelatta AM, Rizvi T, Willms K, Martin DC, Okar A, D'Anna G, Taha A, Sharifi Y, Faghani S, Kite D, Pinho M, Haider MA, Alonso-Basanta M, Villanueva-Meyer J, Rauschecker AM, Nada A, Aboian M, Flanders A, Bakas S, Calabrese E. A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation. Sci Data 2024; 11:496. [PMID: 38750041 PMCID: PMC11096318 DOI: 10.1038/s41597-024-03350-9] [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: 02/20/2024] [Accepted: 05/07/2024] [Indexed: 05/18/2024] Open
Abstract
Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by expert manually refined segmentations of three distinct meningioma sub-compartments: enhancing tumor, non-enhancing tumor, and surrounding non-enhancing T2/FLAIR hyperintensity. Basic demographic data are provided including age at time of initial imaging, sex, and CNS WHO grade. The goal of releasing this dataset is to facilitate the development of automated computational methods for meningioma segmentation and expedite their incorporation into clinical practice, ultimately targeting improvement in the care of meningioma patients.
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Affiliation(s)
- Dominic LaBella
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Omaditya Khanna
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Shan McBurney-Lin
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | | | - Pierre Nedelec
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Arif S Rashid
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Ujjwal Baid
- Division of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Radhika Bhalerao
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | | | - Scott Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Devon Godfrey
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | | | | | - Anahita Kazerooni
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Collin Kent
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - John Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Florian Kofler
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
- Department of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Tech nical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Kevin Leu
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | | | | | - Maxence Pajot
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Zachary J Reitman
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Jeffrey D Rudie
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Rachit Saluja
- Department of Radiology, Cornell University, Ithaca, NY, USA
| | - Yury Velichko
- Department of Radiology, Northwestern University, Evanston, IL, USA
| | - Chunhao Wang
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Pranav I Warman
- Duke University Medical Center, School of Medicine, Durham, NC, USA
| | - Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | | | - Khanak K Nandolia
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, India
| | - Daniel I Warren
- Department of Neuroradiology, Washington University, St. Louis, MO, USA
| | - Ali Hussain
- University of Rochester Medical Center, Rochester, NY, USA
| | - John Pascal Fehringer
- Faculty of Medicine, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | | | - Lisa Deptula
- Ross University School of Medicine, Bridgetown, Barbados
| | - Evan G Stein
- Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | | | | | - Aoife Haughey
- Department of Neuroradiology, JDMI, University of Toronto, Toronto, TO, Canada
| | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria of Cagliari-Polo di Monserrato, Cagliari, Italy
| | | | | | | | | | - David Maximilian Weiss
- Department of Neuroradiology, University Hospital Essen, Essen, North Rhine-Westphalia, Germany
| | | | - Islam H Shawali
- Department of Radiology, Kasr Alainy, Cairo University, Cairo, Egypt
| | - Nikolay Yordanov
- Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
| | - Joel M Stein
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Roula Hourani
- Department of Radiology, American University of Beirut Medical center, Beirut, Lebanon
| | | | | | - Tanvir Rizvi
- Department of Radiology and Medical Imaging, University of Virginia Health, Charlottesville, VA, USA
| | | | - Dann C Martin
- Department of Radiology and Radiologic Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Abdullah Okar
- Faculty of Medicine, Hamburg University, Hamburg, Germany
| | - Gennaro D'Anna
- Neuroimaging Unit, ASST Ovest Milanese, Legnano, Milan, Italy
| | - Ahmed Taha
- University of Manitoba, Winnipeg, Manitoba, Canada
| | - Yasaman Sharifi
- Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Shahriar Faghani
- Radiology Informatics Lab, Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Dominic Kite
- Department of Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom
| | - Marco Pinho
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Michelle Alonso-Basanta
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Javier Villanueva-Meyer
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Andreas M Rauschecker
- Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Ayman Nada
- University of Missouri, Columbia, MO, USA
| | - Mariam Aboian
- Department of Radiology, Children's Hospital of Philadelphia (CHOP), Philadelphia, PA, USA
| | - Adam Flanders
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Spyridon Bakas
- Division of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Neurological Surgery, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Radiology and Imaging Sciences, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Evan Calabrese
- Department of Radiology, Duke University Medical Center, Durham, NC, USA.
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Navarro-Ballester A, Aleixandre-Barrachina M, Marco-Doménech SF. Update on meningioma: Clinical-radiological and radio-pathological correlation. RADIOLOGIA 2023; 65:458-472. [PMID: 37758336 DOI: 10.1016/j.rxeng.2023.09.002] [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: 12/27/2022] [Accepted: 02/07/2023] [Indexed: 10/03/2023]
Abstract
Meningiomas are tumors that originate in the arachnoid villi and are the most common non-glial neoplasm in the central nervous system. The clinical manifestations associated with meningioma depend, fundamentally, on its location. The location in the cerebral convexity is the most frequent, especially in the frontal lobes, manifesting with headache, motor disturbances, seizures and even neurocognitive disorders. There are 15 histologic subtypes of meningioma and three histologic grades. Within these, grades two and three have a worse prognosis and a higher rate of recurrence, as well as a radiological behavior that is generally more aggressive. Although there are some imaging features that can suggest a specific subtype, the definitive diagnosis will always require histological/molecular confirmation.
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Affiliation(s)
- A Navarro-Ballester
- Servicio de Radiodiagnóstico, Hospital General Universitario de Castellón, Castellón de la Plana, Castellón, Spain.
| | - M Aleixandre-Barrachina
- Servicio de Anatomía Patológica, Hospital General Universitario de Castellón, Castellón de la Plana, Castellón, Spain
| | - S F Marco-Doménech
- Servicio de Radiodiagnóstico, Hospital General Universitario de Castellón, Castellón de la Plana, Castellón, Spain
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Zhang Z, Li A, Liu J, Cheng Y, Ma J, Xing H. Giant Malignant Meningioma Penetrates the Skull. J Craniofac Surg 2023; 34:e584-e586. [PMID: 37336497 DOI: 10.1097/scs.0000000000009436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 04/15/2023] [Indexed: 06/21/2023] Open
Abstract
Meningioma is a primary tumor of the central nervous system, most commonly found in the middle-aged and elderly. Most meningiomas are benign, whereas malignant meningiomas account for only 1% of all meningiomas. Meningiomas usually grow slowly, and patients often have headaches and epilepsy as the first symptoms. According to the location of the tumor, there can also be vision, visual field, olfactory, hearing impairment, and so on. Surgery is the main treatment. A case of giant malignant meningioma penetrating the skull is reported. The patient was a 67-year-old male with a left parietal scalp mass about 1 year ago, which gradually enlarged to the size of 6×6 cm and had no other symptoms. Imaging examination showed that the tumor eroded the skull, and the density was uneven. After surgical resection (Simpson grade I), poorly differentiated meningioma (World Health Organization Grade Ⅲ) was returned pathologically. After operation, the patient recovered well.
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Affiliation(s)
- Zheng Zhang
- School of clinical medicine, Weifang Medical University, Weifang City
| | - Aijun Li
- Neurosurgery, Binhai College Affiliated Hospital, Qingdao City, Shandong Province
| | - Jingyi Liu
- Plastic Surgery Institute, Weifang Medical University, Weifang
| | - Yingxin Cheng
- Department of Neurosurgery, Weifang People's Hospital Affiliated to Weifang Medical University, Weifang, China
| | - Jinyuan Ma
- School of clinical medicine, Weifang Medical University, Weifang City
| | - Hongshun Xing
- Department of Neurosurgery, Weifang People's Hospital Affiliated to Weifang Medical University, Weifang, China
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El farissi MAA, Dahamou M, Bakkar N, Dehenh Y, Khoulali M, Oulali N, Moufid F. Atypical radiological aspect of meningioma: Web-like enhancement. Radiol Case Rep 2023; 18:2796-2799. [PMID: 37388260 PMCID: PMC10300459 DOI: 10.1016/j.radcr.2023.05.029] [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: 03/12/2023] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 07/01/2023] Open
Abstract
Meningiomas are the most common extra-axial neoplasmof the central nervous system (CNS). There are a number of characteristic imaging features of meningiomas on magnetic resonance imaging (MRI) that allow an accurate diagnosis, however there are a number of atypical features that may be diagnostically challenging. Furthermore, a number of other neoplastic and non-neoplastic conditions may mimic meningiomas. This case highlights the importance of careful analysis of imaging findings and the need for consideration of all possible diagnoses, including rare or atypical presentations of common neoplasms such as meningiomas. Early detection and accurate diagnosis are crucial in determining the appropriate management and improving the outcomes for patients with intracranial tumors.
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Loken EK, Huang RY. Advanced Meningioma Imaging. Neurosurg Clin N Am 2023; 34:335-345. [PMID: 37210124 DOI: 10.1016/j.nec.2023.02.015] [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
Noninvasive imaging methods are used to accurately diagnose meningiomas and track their growth and location. These techniques, including computed tomography, MRI, and nuclear medicine, are also being used to gather more information about the biology of the tumors and potentially predict their grade and impact on prognosis. In this article, we will discuss the current and developing uses of these imaging techniques including additional analysis using radiomics in the diagnosis and treatment of meningiomas, including treatment planning and prediction of tumor behavior.
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Affiliation(s)
- Erik K Loken
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
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Hanna C, Willman M, Cole D, Mehkri Y, Liu S, Willman J, Lucke-Wold B. Review of meningioma diagnosis and management. EGYPTIAN JOURNAL OF NEUROSURGERY 2023; 38:16. [PMID: 37124311 PMCID: PMC10138329 DOI: 10.1186/s41984-023-00195-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/14/2022] [Indexed: 05/02/2023] Open
Abstract
Meningiomas are the most common intracranial tumors in adult patients. Although the majority of meningiomas are diagnosed as benign, approximately 20% of cases are high-grade tumors that require significant clinical treatment. The gold standard for grading central nervous system tumors comes from the World Health Organization Classification of Tumors of the central nervous system. Treatment options also depend on the location, imaging, and histopathological features of the tumor. This review will cover diagnostic strategies for meningiomas, including 2021 updates to the World Health Organization's grading of meningiomas. Meningioma treatment plans are variable and highly dependent on tumor grading. This review will also update the reader on developments in the treatment of meningiomas, including surgery, radiation therapy and monoclonal antibody treatment.
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Affiliation(s)
- Chadwin Hanna
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Matthew Willman
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Dwayne Cole
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Yusuf Mehkri
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA
| | - Sophie Liu
- Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
| | - Jonathan Willman
- Department of Neurosurgery, University of Florida, Gainesville, FL, USA
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Uncommon and atypical meningiomas and imaging variants: A report of 7 cases. MEDICINE INTERNATIONAL 2022; 2:35. [PMID: 36699153 PMCID: PMC9829240 DOI: 10.3892/mi.2022.60] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/14/2022] [Indexed: 11/16/2022]
Abstract
Meningiomas constitute the most common extra-axial tumor of the central nervous system and can have a wide-ranging manifestation of imaging. There are several types of unusual depictions depicted with the magnetic resonance imaging (MRI) of meningiomas that have been established thus far. It is thus crucial for the reporting radiologist or neurosurgeon to have an in-depth knowledge of their variable manifestations in order to be able to differentiate these neoplasms from the numerous tumors that can mimic their appearance. Meningioma is frequently challenging to diagnose when imaging variants are present. Nevertheless, a number of unusual histological variants have imaging or clinical features which are related to typical meningiomas and, in numerous cases, these require specific surgical management. The present study describes 7 cases of meningiomas, which were either simple atypical, unusual gigantic extracranial intracranial parasagittal, or not visible meningiomas. These uncommon and atypical imaging variants of meningiomas are described herein in an aim to underline their various potential presentations.
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Diagnostic and Therapeutic Strategy in Anaplastic (Malignant) Meningioma, CNS WHO Grade 3. Cancers (Basel) 2022; 14:cancers14194689. [PMID: 36230612 PMCID: PMC9562197 DOI: 10.3390/cancers14194689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/12/2022] [Accepted: 09/22/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary Only 1% of all meningioma diagnosis is classified as malignant (anaplastic) meningioma. Due to their rarity, clinical management of these tumors presents several gaps. In this review, we investigate current knowledge of anaplastic meningioma focusing on their pathological and radiological diagnosis, molecular assessment, and loco-regional and systemic management. Despite the current marginal role of systemic therapy, it is possible that the increasing knowledge of molecular altered pathways of the disease will lead to the development of novel effective systemic treatments. Abstract Background: Meningiomas are the most common primary central nervous system malignancies accounting for 36% of all intracranial tumors. However, only 1% of meningioma is classified as malignant (anaplastic) meningioma. Due to their rarity, clinical management of these tumors presents several gaps. Methods: We carried out a narrative review aimed to investigate current knowledge of anaplastic meningioma focusing on their pathological and radiological diagnosis, molecular assessment, and loco-regional and systemic management. Results: The most frequent genetic alteration occurring in meningioma is the inactivation in the neurofibromatosis 2 genes (merlin). The accumulation of copy number losses, including 1p, 6p/q, 10q, 14q, and 18p/q, and less frequently 2p/q, 3p, 4p/q, 7p, 8p/q, and 9p, compatible with instability, is restricted to NF2 mutated meningioma. Surgery and different RT approaches represent the milestone of grade 3 meningioma management, while there is a marginal role of systemic therapy. Conclusions: Anaplastic meningiomas are rare tumors, and diagnosis should be suspected and confirmed by trained radiologists and pathologists. Despite the current marginal role of systemic therapy, it is possible that the increasing knowledge of molecular altered pathways of the disease will lead to the development of novel effective systemic treatments.
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Myriad Presentations of Intracranial Meningiomas: Pictoral Essay. J Belg Soc Radiol 2022; 106:25. [PMID: 35581977 PMCID: PMC9053553 DOI: 10.5334/jbsr.2751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/11/2022] [Indexed: 11/30/2022] Open
Abstract
Meningiomas are the most common non-glial tumor of the central nervous system (CNS). Seen in middle age with a female preponderance, most of the tumors are solitary and supratentorial with benign histology (WHO grade I). Atypical and anaplastic (malignant) meningiomas (WHO grade II and III), comprise 15–20% of all intracranial meningiomas [12345]. Magnetic resonance imaging (MRI) is the imaging modality of choice.
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Kayahara T, Kurita H, Irie K, Nakahara I, Sasaki T. Intracranial chondrosarcoma located in the region of the posterior clinoid process: a case report. Radiol Case Rep 2021; 17:115-118. [PMID: 34777675 PMCID: PMC8577103 DOI: 10.1016/j.radcr.2021.09.058] [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: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 11/30/2022] Open
Abstract
Intracranial chondrosarcomas located in the region of the posterior clinoid process have not been focused on. Here, we report the case of a 29-year-old woman with a skull base tumor in that region. Seven years after the diagnosis, the tumor had grown and showed calcification and tumor stain; chondrosarcoma, posterior clinoid meningioma, and chordoma were suspected. The patient underwent subtotal tumor resection, and the histopathological study revealed that the tumor was a low-grade chondrosarcoma. Chondrosarcomas can be located in the region of the posterior clinoid process, and not only chordomas but also posterior clinoid meningiomas should be considered as a differential diagnosis of tumors located in that region, especially when the tumor has calcification or receives a vascular supply.
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Affiliation(s)
- Tomomichi Kayahara
- Department of Neurosurgery, Nagoya Kyoritsu Hospital, 1-172 Hokke, Nakagawaku, Nagoya, Aichi 454-0933, Japan
- Corresponding author: T. Kayahara
| | - Hiroki Kurita
- Department of Cerebrovascular Surgery, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
| | - Keiko Irie
- Department of Neurosurgery, Nagoya Kyoritsu Hospital, 1-172 Hokke, Nakagawaku, Nagoya, Aichi 454-0933, Japan
| | - Ichiro Nakahara
- Department of Comprehensive Strokology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Tomio Sasaki
- Department of Neurosurgery, Nagoya Kyoritsu Hospital, 1-172 Hokke, Nakagawaku, Nagoya, Aichi 454-0933, Japan
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Papic V, Lasica N, Jelaca B, Vuckovic N, Kozic D, Djilvesi D, Fimic M, Golubovic J, Pajicic F, Vulekovic P. Primary Intraparenchymal Meningiomas: A Case Report and a Systematic Review. World Neurosurg 2021; 153:52-62. [PMID: 34242832 DOI: 10.1016/j.wneu.2021.06.139] [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: 06/05/2021] [Revised: 06/27/2021] [Accepted: 06/28/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Primary intraparenchymal meningiomas are exceedingly rare and often challenging to diagnose, given their misleading radiologic features. It is hypothesized that they arise from the cap cells of the pia mater that enter the brain via penetrating blood vessels during brain development. We systematically reviewed and analyzed previously reported features of primary intraparenchymal meningiomas in terms of radiography, presenting symptoms, and histopathology. METHODS A literature search of the Web of Science and PubMed databases and crossed references was performed in March 2021, per PRISMA guidelines, with no restrictions regarding publication date. Data regarding demographic features, clinical, radiographic, and histopathologic characteristics were extracted. RESULTS A total of 52 patients (including the reported case) were included in this review. The mean age was 21.1 years (range, 0.3-66 years) with a male/female ratio of 1.9:1. The most common localizations of intraparenchymal meningiomas were in the frontal (30.8%) and temporal (21.2%) lobes. Cyst formation was more readily observed and was noted in 51.4% of patients. Histopathology showed a higher incidence of World Health Organization grade II (14/52, 26.9%) and World Health Organization grade III (7/52, 13.5%) of primary intraparenchymal meningiomas. CONCLUSIONS We present a comprehensive analysis of every reported primary intraparenchymal meningioma. Because of their rarity and capacity to mimic other more common intra-axial tumors, they represent a diagnostic challenge. This systematic review highlights the importance of paying attention to atypical intra-axial lesions, with a particular reflection on the discrepancy between clinical characteristics and imaging features.
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Affiliation(s)
- Vladimir Papic
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - Nebojsa Lasica
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - Bojan Jelaca
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
| | - Nada Vuckovic
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia; Pathology and Histology Center, Clinical Center of Vojvodina, Novi Sad, Serbia
| | - Dusko Kozic
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia; Center for Diagnostic Imaging, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia
| | - Djula Djilvesi
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - Miroslav Fimic
- Department of Neurosurgery, Institute for Child and Youth Health Care of Vojvodina, Novi Sad, Serbia
| | - Jagos Golubovic
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - Filip Pajicic
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - Petar Vulekovic
- Clinic of Neurosurgery, Clinical Center of Vojvodina, Novi Sad, Serbia; Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
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Singh S, Israrahmed A, Verma V, Singh V. Extra-axial tentorial medulloblastoma: a rare presentation of a common posterior fossa tumour. BMJ Case Rep 2021; 14:14/6/e242865. [PMID: 34183313 DOI: 10.1136/bcr-2021-242865] [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: 11/03/2022] Open
Abstract
Medulloblastoma is a common paediatric posterior fossa tumour typically presenting as midline intra-axial mass involving the cerebellar vermis and/or roof of fourth ventricle with typical radiological features. These can be extra-axial in extremely rare instances with less than 50 cases reported so far in literature. We present a case of 18-year-old boy presenting with ataxia and headache. MRI showed dural mass (involving the left tentorium cerebellum) with typical imaging features of extra-axial lesion. The patient underwent near total excision of the tumour. Histopathology along with immunohistochemistry revealed the mass to be medulloblastoma. We present this case to highlight rarity of this location for medulloblastoma and the importance of considering this in the differential diagnosis of atypical posterior fossa extra-axial lesions. This can help in performing other relevant preoperative workup similar on the lines of medulloblastoma and planning of relevant management.
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Affiliation(s)
- Somesh Singh
- Radiodiagnosis, SGPGIMS, Lucknow, Uttar Pradesh, India
| | | | | | - Vivek Singh
- Radiodiagnosis, SGPGIMS, Lucknow, Uttar Pradesh, India
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13
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Zhang R, Shen Y, Bai Y, Zhang X, Wei W, Lin R, Feng Q, Wang M, Zhang M, Nittka M, Koerzdoerfer G, Wang M. Application of magnetic resonance fingerprinting to differentiate grade I transitional and fibrous meningiomas from meningothelial meningiomas. Quant Imaging Med Surg 2021; 11:1447-1457. [PMID: 33816181 DOI: 10.21037/qims-20-732] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background The choice of surgical treatment for meningiomas is affected by the subtype and clinical characteristics. Therefore, an accurate preoperative diagnosis is essential. Current magnetic resonance imaging (MRI) technology is unable to distinguish between meningioma subtypes. In the present study, we compared and evaluated the utility of conventional MRI, magnetic resonance fingerprinting (MRF), and diffusion-weighted imaging (DWI) in differentiating World Health Organization grade I transitional and fibrous meningiomas from meningothelial meningiomas. Methods Forty-six patients with pathologically confirmed meningiomas (15 meningothelial, 18 transitional, and 13 fibrous) were enrolled in the present study. All patients underwent conventional MRI, MRF, and DWI scans before surgery using a 3T scanner. The Jonckheere-Terpstra test was used to analyze differences in the signal and enhancement characteristics of the three groups from T1-weighted imaging (T1WI) and T2-weighted imaging (T2WI). To investigate the difference in quantitative T1 and T2 values derived from MRF and apparent diffusion coefficient (ADC) values between the three groups using the Kruskal-Wallis test, regions of interest (ROIs) were manually drawn on the parenchymal portion of the tumors; P<0.017 was considered statistically significant after Bonferroni correction for multiple comparison. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performances of the different parameters. Results Meningothelial meningiomas had significantly higher T1 and T2 values than transitional and fibrous meningiomas (all P<0.017). ROC analysis results revealed that the combination of T1 and T2 values had the largest area under the curve (AUC). The AUC for the combination of T1 and T2 values was 0.826 between meningothelial and transitional meningiomas, and the AUC for the combination of T1 and T2 values between meningothelial and fibrous meningiomas was 0.903. No significant differences were found in the T1 and T2 values between transitional and fibrous meningiomas. There were also no statistically significant differences in the conventional MRI (including T1WI, T2WI, and contrast-enhanced T1WI) and ADC values between the three meningioma subtypes (all P>0.05). Conclusions MRF may provide more quantitative information than either conventional MRI or DWI for differentiating transitional and fibrous meningiomas from meningothelial meningiomas. T1 and T2 values derived from MRF may distinguish transitional and fibrous meningiomas from meningothelial meningiomas, and the combination of T1 and T2 values provides the highest diagnostic efficacy.
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Affiliation(s)
- Rui Zhang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China.,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Yu Shen
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
| | - Yan Bai
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
| | | | - Wei Wei
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
| | - Ruijuan Lin
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Qin Feng
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
| | - Mengke Wang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
| | - Menghuan Zhang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
| | - Mathias Nittka
- Magnetic Resonance, Siemens Healthcare, Erlangen, Germany
| | | | - Meiyun Wang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.,Henan Key Laboratory of Neurological Imaging, Zhengzhou, China
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14
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Wang M, Wang Z, Ren P, Zhang X, Liu S. Meningioma with ring enhancement on MRI: a rare case report. BMC Med Imaging 2021; 21:22. [PMID: 33568080 PMCID: PMC7877038 DOI: 10.1186/s12880-021-00555-x] [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: 09/01/2020] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 11/16/2022] Open
Abstract
Background Meningiomas typically manifest on magnetic resonance imaging (MRI) as iso- to hypointense on T1-weighted imaging and iso- to hyperintense on T2-weighted imaging. After contrast administration, they usually homogeneously enhance and exhibit a visible dural tail. Meningiomas with atypical findings may be misdiagnosed. Case presentation We report a 50-year-old female patient with a pathologically diagnosed fibrous meningioma (World Health Organization grade I) that exhibited ring enhancement on MRI. Conclusions Meningiomas may rarely present with ring enhancement on MRI. The natural history and mechanisms of cystic degeneration and enhancement in the various types of meningioma require further study.
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Affiliation(s)
- Miao Wang
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, 400037, Chongqing, China
| | - Zhongke Wang
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, 400037, Chongqing, China
| | - Peng Ren
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, 400037, Chongqing, China
| | - Xiaoqing Zhang
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, 400037, Chongqing, China
| | - Shiyong Liu
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, 400037, Chongqing, China.
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15
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Tabibkhooei A, Azar M, Alagha A, Jahandideh J, Ebrahimnia F. Investigating Effective Factors on Estimated Hemorrhage Intraoperative in Brain Meningioma Surgery. Basic Clin Neurosci 2020; 11:631-638. [PMID: 33643556 PMCID: PMC7878064 DOI: 10.32598/bcn.9.10.370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 06/25/2019] [Accepted: 11/26/2019] [Indexed: 11/20/2022] Open
Abstract
Introduction The primary and definitive diagnosis of meningioma is based on histological assessment; however, employing imaging methods, like Magnetic Resonance Imaging (MRI) is very helpful to describe lesion's characteristics. Accordingly, we decided to study the effect of imaging factors, like MRI data on the volume of hemorrhage (estimated blood loss) during meningioma surgery. Methods This was a cross-sectional, retrospective, and analytical study. The eligible patients were those with meningioma who were candidates for surgery. A total of 40 patients with meningioma were selected and assessed. The preoperative imaging findings were recorded, then estimated blood loss during the surgery was determined. Results A reverse association was revealed between the degree of proximity to the nearest sinus and the rate of bleeding. Furthermore, the size of the mass was positively associated with the rate of bleeding; however, there was no significant correlation between the volume of bleeding and other parameters, including the degree of edema, the volume of mass, the site of the tumor in the brain, and the histological subtype of the tumor. The mean time of operation was strongly correlated with blood loss. The rate of bleeding was more expected in hypertensive versus normotensive patients. Conclusion Bleeding in various volumes could be a frequent finding in intracranial meningioma surgery. Overall, tumor size, the duration of surgery, a history of hypertension, and distance to the nearest sinuses were the main determinants for the severity of hemorrhage in patients undergoing meningioma surgery.
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Affiliation(s)
- Alireza Tabibkhooei
- Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Maziar Azar
- Skull Base Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Alagha
- Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Javad Jahandideh
- Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Feyzollah Ebrahimnia
- Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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16
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Huang RY, Bi WL, Griffith B, Kaufmann TJ, la Fougère C, Schmidt NO, Tonn JC, Vogelbaum MA, Wen PY, Aldape K, Nassiri F, Zadeh G, Dunn IF. Imaging and diagnostic advances for intracranial meningiomas. Neuro Oncol 2020; 21:i44-i61. [PMID: 30649491 DOI: 10.1093/neuonc/noy143] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.
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Affiliation(s)
- Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Wenya Linda Bi
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Brent Griffith
- Department of Radiology, Henry Ford Health System, Detroit, Michigan, USA
| | - Timothy J Kaufmann
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Christian la Fougère
- Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tubingen, Tubingen, Germany
| | - Nils Ole Schmidt
- Department of Neurosurgery, University Medical Center, Hamburg-Eppendorf, Germany
| | - Jöerg C Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Michael A Vogelbaum
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Department of Neurosurgery, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Kenneth Aldape
- Department of Laboratory Pathology, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA.,MacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Farshad Nassiri
- Division of Neurosurgery, University Health Network, University of Toronto, Ontario, Canada.,MacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Gelareh Zadeh
- Division of Neurosurgery, University Health Network, University of Toronto, Ontario, Canada.,MacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Ian F Dunn
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Kulanthaivelu K, Lanka V, Chandran C, Nandeesh BN, Tiwari S, Mahadevan A, Prasad C, Saini J, Bhat MD, Chakrabarti D, Pruthi N, Vazhayil V, Sadashiva N, Srinivas D. Microcystic Meningiomas: MRI-Pathologic Correlation. J Neuroimaging 2020; 30:704-718. [PMID: 32521093 DOI: 10.1111/jon.12743] [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] [Received: 05/04/2020] [Revised: 05/26/2020] [Accepted: 05/26/2020] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND AND PURPOSE Microcystic meningiomas (MM) are a distinctive, rare subtype of Grade I meningiomas with limited radiological descriptions. We intend to identify unique imaging phenotypes and seek radiopathological correlations. METHODS Retrospective analysis of histopathologically proven MM was undertaken. Clinicodemographic profiles, imaging, and histopathological characteristics were recorded. Spearman rank correlations among radiological and pathological attributes were performed. RESULTS Twenty-eight cases were analyzed (mean age = 45.5 years; M:F = 1:1.54; mean volume = 50.1 mL; supratentorial n = 27). Most lesions were markedly T2 hyperintense (higher than peritumoral brain edema-a unique finding) (89.3%) and showed invariable diffusion restriction, severe peritumoral brain edema (edema index >2 in 64.3%), a "storiform" pattern on T2-weighted images (T2WI) (75%), reticular pattern on postcontrast T1 (78.6%)/diffusion-weighted images (DWI) (65.4%), hyperperfusion, T1 hypointensity (84.6%), and absence of blooming on susceptibility-weighted image (80.9%). Storiform/reticular morphology correlated with large cysts on histopathology (ρ = .56; P = .005753). Lesion dimension positively correlated with reticular morphology on imaging (ρ = .59; P = .001173), higher flow voids (ρ = .65; P = .00027), and greater microcystic changes on histopathology (ρ = .51; P = .006778). Peritumoral brain edema was higher for lesions demonstrating greater angiomatous component (ρ = .46; P = .014451). CONCLUSIONS We have elucidated varied neuroimaging features and highlighted pathological substrates of crucial imaging findings of MM. MM ought to be considered as an imaging possibility in an extra-axial lesion with a marked hypodensity on noncontrast computed tomography, markedly T2-hyperintense/T1-hypointense signal, and a storiform/reticular pattern on T2W/GdT1w//DWI.
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Affiliation(s)
- Karthik Kulanthaivelu
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Vivek Lanka
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Chitra Chandran
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Bevinhalli N Nandeesh
- Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Sarbesh Tiwari
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences Jodhpur, Jodhpur, India
| | - Anita Mahadevan
- Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Chandrajit Prasad
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Maya D Bhat
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Dhritiman Chakrabarti
- Department of Neuroanaesthesia and Neurocritical care, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Nupur Pruthi
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Vikas Vazhayil
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Nishanth Sadashiva
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Dwarakanath Srinivas
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, India
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Abstract
Meningiomas are the most common primary CNS tumor in adults, representing a third of brain lesions. Their clinical presentation varies greatly, ranging from asymptomatic incidental tumor to fatal tumor. The majority of meningiomas are benign, and gross total resection can achieve very low recurrence rates, with radiation therapy or radiosurgery reserved for recurrences or residual tumor that grows during serial imaging. At the other end of the spectrum, malignant meningiomas, although comprising just 1% of meningiomas, have been recognized to exhibit aggressive behavior that ultimately proves lethal regardless of the extent of resection or whether adjuvant radiation and chemotherapy are utilized. Over the past 2 decades, there has been pathologic recognition of a third type of meningioma known as "atypical," with borderline histologic and clinical features between benign and malignant meningioma. Here we review the clinical features, treatment, and outcomes of atypical meningiomas, with a focus on the impact of extent of resection and radiation therapy on the long-term recurrence rate of completely and incompletely resected atypical meningiomas.
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19
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Villanueva-Meyer JE. Modern day imaging of meningiomas. HANDBOOK OF CLINICAL NEUROLOGY 2020; 169:177-191. [PMID: 32553289 DOI: 10.1016/b978-0-12-804280-9.00012-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Meningiomas are the most common primary tumors of the central nervous system and as such they are often encountered at neuroimaging. Fortunately, meningiomas are readily diagnosed with anatomic computed tomography and magnetic resonance imaging. While conventional imaging is the mainstay for initial diagnosis and delineating tumor for treatment planning and posttreatment follow-up, the last couple of decades have given rise to advanced physiologic and metabolic imaging techniques that serve as powerful tools in the management of meningioma. These modern approaches are allowing imaging to expand its utility to include extraction of biologic and potentially prognostic information that will ultimately improve care for meningioma patients.
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Affiliation(s)
- Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.
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20
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Pinzi V, Fariselli L, Marchetti M, Scorsetti M, Navarria P. Stereotactic Radiotherapy for Parasagittal and Parafalcine Meningiomas: Patient Selection and Special Considerations. Cancer Manag Res 2019; 11:10051-10060. [PMID: 31819638 PMCID: PMC6889965 DOI: 10.2147/cmar.s187371] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 10/22/2019] [Indexed: 12/14/2022] Open
Abstract
Treatment options for intracranial meningiomas are surgical resection alone, surgery followed by adjuvant radiation therapy (RT), or exclusive RT. Parasagittal and parafalcine meningiomas are a subgroup of meningeal disease located close to the vascular structures. Considering the frequent venous invasion, a complete resection is not possible in the majority of cases, and even if a Simpson Grade I resection can be performed, the risk of recurrence is relevant. To date, few studies are focused on parasagittal and parafalcine meningiomas. Because of their specific related issues, particular considerations on decision-making process, outcome, and toxicity follow-up are mandatory. In fact, parasagittal and parafalcine meningiomas require a clear-cut radiological assessment, as well as a tailored toxicity risk evaluation. Moreover, similarly to other meningioma sites, also for parasagittal and parafalcine ones, a standardization of local control, toxicity, and quality of life evaluation is needed in order to lead to a pooled analysis of the results. In this context, our aim was to review the literature data regarding the role of both single-session and multisession radiosurgery (RS), and stereotactic radiotherapy (SRT) for parasagittal and parafalcine meningioma management, summarizing available data on safety and efficacy. It was also discussed how RS and SRT can be performed in a setting of evolving views concerning the treatment paradigm of the parasagittal and parafalcine meningiomas.
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Affiliation(s)
- V Pinzi
- Neurosurgery Department, Radiotherapy Unit, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - L Fariselli
- Neurosurgery Department, Radiotherapy Unit, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - M Marchetti
- Neurosurgery Department, Radiotherapy Unit, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - M Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Milan, Italy
| | - P Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Milan, Italy
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21
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Neuroimaging findings of cerebral syphilitic gumma. Exp Ther Med 2019; 18:4185-4192. [PMID: 31772624 PMCID: PMC6861868 DOI: 10.3892/etm.2019.8089] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 06/13/2019] [Indexed: 12/18/2022] Open
Abstract
Cerebral syphilitic gumma is a rarely reported disease of the central nervous system. Magnetic resonance imaging (MRI) is an important diagnostic method for syphilitic gumma. The present study aimed to describe and characterize neuroimaging results from 6 patients with pathologically diagnosed cerebral syphilitic gumma. The 6 patients (age, 32–61 years) underwent brain CT and MRI, with 1 patient also undergoing whole-body 2-deoxy-2-(fluorine-18)fluoro-D-glucose-positron emission tomography/CT (18F-FDG PET/CT). Non-enhanced CT, conventional T1 weighted imaging (T1WI) and T2WI, diffusion weighted imaging (DWI) and gadolinium-enhanced T1WI images were acquired for all patients. The CT and MRI scans were retrospectively reviewed by two experienced radiologists for consensus on the location, number, size, T1WI, T2WI and DWI signal intensity characteristics, extent of vasogenic oedema, and enhancement patterns. In total, the 6 patients exhibited 10 lesions, nine of which were located in the cerebral hemisphere, primarily in the grey matter. The remaining lesion was located in the fourth ventricle, leading to mild-to-moderate hydrocephalus. The diameters of the identified 10 lesions ranged from 0.9–6.5 cm, with a mean diameter of 3.9 cm. The main feature observed in CT was low density and in MRI the features were T1WI and DWI hypointensity and T2WI hyperintensity. A single case exhibited syphilis gumma with massive haemorrhage. Ring-like or strip-like signs (n=5), accompanied by the dural tail sign (n=2) and homogeneous enhancement (n=1), were noted on T1WI with gadolinium. The 18F-FDG PET/CT performed in one patient of a cerebral syphilis gumma revealed low uptake and metabolism. The present study indicated that gadolinium-enhanced MRI combined with 18F-FDG PET/CT and laboratory examinations are helpful in distinguishing cerebral syphilitic gumma from brain tumors and infectious diseases, therefore avoiding unnecessary surgery.
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22
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Laudicella R, Albano D, Annunziata S, Calabrò D, Argiroffi G, Abenavoli E, Linguanti F, Albano D, Vento A, Bruno A, Alongi P, Bauckneht M. Theragnostic Use of Radiolabelled Dota-Peptides in Meningioma: From Clinical Demand to Future Applications. Cancers (Basel) 2019; 11:cancers11101412. [PMID: 31546734 PMCID: PMC6826849 DOI: 10.3390/cancers11101412] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 09/18/2019] [Accepted: 09/19/2019] [Indexed: 12/14/2022] Open
Abstract
Meningiomas account for approximately 30% of all new diagnoses of intracranial masses. The 2016 World Health Organization's (WHO) classification currently represents the clinical standard for meningioma's grading and prognostic stratification. However, watchful waiting is frequently the chosen treatment option, although this means the absence of a certain histological diagnosis. Consequently, MRI (or less frequently CT) brain imaging currently represents the unique available tool to define diagnosis, grading, and treatment planning in many cases. Nonetheless, these neuroimaging modalities show some limitations, particularly in the evaluation of skull base lesions. The emerging evidence supporting the use of radiolabelled somatostatin receptor analogues (such as dota-peptides) to provide molecular imaging of meningiomas might at least partially overcome these limitations. Moreover, their potential therapeutic usage might enrich the current clinical offering for these patients. Starting from the strengths and weaknesses of structural and functional neuroimaging in meningiomas, in the present article we systematically reviewed the published studies regarding the use of radiolabelled dota-peptides in surgery and radiotherapy planning, in the restaging of treated patients, as well as in peptide-receptor radionuclide therapy of meningioma.
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Affiliation(s)
- Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy
| | - Domenico Albano
- Department of Nuclear Medicine, University of Brescia and Spedali Civili Brescia, 25123 Brescia, Italy
| | - Salvatore Annunziata
- Institute of Nuclear Medicine, Università Cattolica del Sacro Cuore, 00168 Roma, Italy
| | - Diletta Calabrò
- Nuclear Medicine, DIMES University of Bologna, S. Orsola-Malpighi Hospital, 40138 Bologna, Italy
| | | | - Elisabetta Abenavoli
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Flavia Linguanti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Unità di Radiologia Diagnostica ed Interventistica, 20161 Milano, Italy
- Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università degli Studi di Palermo, 90127 Palermo, Italy
| | - Antonio Vento
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy
| | - Antonio Bruno
- Department of Experimental, Diagnostic and Specialty Medicine-DIMES, University of Bologna, S. Orsola-Malpighi Hospital, 40138 Bologna, Italy
| | - Pierpaolo Alongi
- Unit of Nuclear Medicine, Fondazione Istituto G. Giglio, 90015 Cefalù, Italy
| | - Matteo Bauckneht
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
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23
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Altieri R, Morrone A, Certo F, Parisi G, Buscema G, Broggi G, Magro G, Barbagallo GM. Tentorial Angioleiomyoma: A Rare Neurosurgical Entity. Case Report and Review of the Literature. World Neurosurg 2019; 130:506-511. [PMID: 31349075 DOI: 10.1016/j.wneu.2019.07.129] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Accepted: 07/16/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Angioleiomyoma (ALM) is a soft tissue neoplasm rarely described in the intracranial site. Because of their uncommon presentation, atypical neuroradiologic and pathologic features, ALMs are often misdiagnosed. CASE DESCRIPTION We describe the neuroradiologic, clinical, and pathologic data of a 37-year-old male patient suffering from a tentorial ALM. He was admitted at our hospital because of a posterior cranial fossa mass. Magnetic resonance imaging (MRI) showed a left tentorial tumor, hypointense on T1-weighted sequences, with heterogeneous contrast enhancement after gadolinium injection ("salt-and-pepper" fashion) and slightly hyperintense signal on T2-weighted sequence. After surgery, pathological examination showed a tumor composed of several thick-walled blood vessels mixed with a population of deeply eosinophilic spindle-shaped smooth muscle cells arranged in bundles. Necrosis was absent. Neither cellular pleomorphism nor mitoses were detected. Immuno-histochemical analysis confirmed the smooth muscle phenotype of the spindle cell component: diffuse and strong positivity for alpha-smooth muscle actin, desmin, and h-caldesmon. Based on both morphologic and immunohistochemical findings, a diagnosis of primary intracranial ALM was rendered. CONCLUSIONS We add to the literature the tenth case of this exceedingly rare tumor and submit that ALM should be suspected when a tentorial mass with a "flame-like" time-dependent pattern of contrast enhancement on MRI, a "salt-and-pepper" post-contrast appearance on MRI T1-weighted sequences, and a relation with large intracranial feeding vessels are present.
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Affiliation(s)
- Roberto Altieri
- Division of Neurosurgery, Department of Neurosciences, Policlinico "G. Rodolico", University Hospital, Catania, Italy; Neurosurgical Unit, Department of Neuroscience, University of Turin, Turin, Italy.
| | - Antonio Morrone
- Division of Neurosurgery, Department of Neurosciences, Policlinico "G. Rodolico", University Hospital, Catania, Italy
| | - Francesco Certo
- Division of Neurosurgery, Department of Neurosciences, Policlinico "G. Rodolico", University Hospital, Catania, Italy; Multidisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, Catania, Italy
| | - Giuseppe Parisi
- Division of Neurosurgery, Department of Neurosciences, Policlinico "G. Rodolico", University Hospital, Catania, Italy
| | - Giovanni Buscema
- Department of Anaesthesiology, University of Catania, Turin, Italy
| | - Giuseppe Broggi
- Department of Medical, Surgical Sciences and Advanced Technologies and Biotechnological Sciences G.F. Ingrassia, Anatomic Pathology, University of Catania, Catania, Italy
| | - Gaetano Magro
- Department of Medical, Surgical Sciences and Advanced Technologies and Biotechnological Sciences G.F. Ingrassia, Anatomic Pathology, University of Catania, Catania, Italy
| | - Giuseppe M Barbagallo
- Division of Neurosurgery, Department of Neurosciences, Policlinico "G. Rodolico", University Hospital, Catania, Italy; Multidisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania, Catania, Italy
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Lyndon D, Lansley JA, Evanson J, Krishnan AS. Dural masses: meningiomas and their mimics. Insights Imaging 2019; 10:11. [PMID: 30725238 PMCID: PMC6365311 DOI: 10.1186/s13244-019-0697-7] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 01/15/2019] [Indexed: 02/08/2023] Open
Abstract
Meningiomas are the most common dural tumour. They are regularly being seen as an incidental finding on brain imaging and treated conservatively. However, there are many other dural masses which mimic their appearances, including primary neoplastic processes, metastases, granulomatous diseases and infection. While some of these are rare, others such as metastases and tuberculosis arise relatively frequently in practice. Although not pathognomonic, key features which increase the probability of a lesion being a meningioma include intralesional calcifications, skull hyperostosis, local dural enhancement and increased perfusion. It is important to have an awareness of these entities as well as their main imaging findings, as they have a wide range of prognoses and differing management strategies. This review outlines several of the most important mimics along with their imaging findings on both standard and advanced techniques with key features which may be used to help differentiate them from meningiomas.
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Affiliation(s)
- Daniel Lyndon
- Department of Neuroradiology, St Bartholomew's and the Royal London Hospitals, Whitechapel, London, E1 1BB, UK.
| | - Joseph A Lansley
- Department of Neuroradiology, St Bartholomew's and the Royal London Hospitals, Whitechapel, London, E1 1BB, UK
| | - Jane Evanson
- Department of Neuroradiology, St Bartholomew's and the Royal London Hospitals, Whitechapel, London, E1 1BB, UK
| | - Anant S Krishnan
- Department of Neuroradiology, St Bartholomew's and the Royal London Hospitals, Whitechapel, London, E1 1BB, UK
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25
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Zakhari N, Torres C, Castillo M, Nguyen TB. Uncommon Cranial Meningioma: Key Imaging Features on Conventional and Advanced Imaging. Clin Neuroradiol 2017; 27:135-144. [PMID: 28466126 DOI: 10.1007/s00062-017-0583-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 04/04/2017] [Indexed: 11/29/2022]
Abstract
Given the high incidence of intracranial meningiomas encountered in clinical practice, it is not uncommon to find rare subtypes of meningioma, with unusual imaging findings. These commonly represent a diagnostic challenge. In this article, we review the imaging appearance of typical meningioma on conventional and advanced imaging as well as the key imaging features of multiple uncommon subtypes: cystic, microcystic, lipomatous, chordoid, angiomatous, intraosseous, extracranial, atypical/malignant, and tumor-to-tumor metastasis (also known as collision tumors). Some of these uncommon subtypes, however, demonstrate imaging features that may allow for a more specific diagnosis, or features, which can influence patient's management.
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Affiliation(s)
- Nader Zakhari
- Department of Radiology, Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, 1053 Carling Avenue, K1Y 4E9, Ottawa, Ontario, Canada
| | - Carlos Torres
- Department of Radiology, Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, 1053 Carling Avenue, K1Y 4E9, Ottawa, Ontario, Canada.
| | - Mauricio Castillo
- Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, Room 3326 Old Infirmary Building, Manning Drive, 27599-7510, Chapel Hill, NC, USA
| | - Thanh B Nguyen
- Department of Radiology, Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, 1053 Carling Avenue, K1Y 4E9, Ottawa, Ontario, Canada
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Uchida H, Hirano H, Moinuddin FM, Hanaya R, Sadamura Y, Hosoyama H, Yonezawa H, Tokimura H, Yamahata H, Arita K. Radiologic and histologic features of the T2 hyperintensity rim of meningiomas on magnetic resonance images. Neuroradiol J 2017; 30:48-56. [PMID: 28059671 DOI: 10.1177/1971400916678228] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
A hyperintensity rim is often seen at the brain-tumor interface of meningiomas upon T2-weighted (T2WI) magnetic resonance imaging (MRI), and it is referred to as the cerebrospinal fluid (CSF) space; however, the true nature of the rim remains unclear. We surveyed the MRI findings and the histopathologic characteristics of such rims. Our study population consisted of 53 consecutive patients who underwent meningioma removal at our hospital. The intensity of the rim on MRI scans obtained with different imaging sequences was assessed in all patients. We used 22 tumors for histopathologic investigation: tissue samples were acquired from both the tumor surface and from a deep intratumoral site. Of the 53 meningiomas, 37 (69.8%) manifested a hyperintensity rim on T2WI (T2-rim). The other 16 showed neither a hyperintense nor a hypointense rim on their T2WI. An enhancement effect corresponding to the rim was observed in 28 of the 37 (75.7%) T2-rim positive tumors. While 9 among the 37 tumors with a T2-rim (24.3%) did not show rim enhancement, they showed low intensity on fluid-attenuated inversion recovery (FLAIR) images. The microvascular density in the tumor capsule was significantly greater in the 12 T2-rim and rim enhancement positive tumors than in 10 tumors that were T2-rim negative or T2-rim positive, but rim enhancement-negative ( p < 0.001, Mann-Whitney U test). We found that 75.7% of T2 hyperintense rims that were detected at the brain-meningioma interface reflected a microvascular-rich capsule layer, rather than the CSF space.
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Affiliation(s)
- Hiroyuki Uchida
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hirofumi Hirano
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - F M Moinuddin
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Ryosuke Hanaya
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Yuko Sadamura
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hiroshi Hosoyama
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hajime Yonezawa
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hiroshi Tokimura
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hitoshi Yamahata
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Kazunori Arita
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
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Spasic M, Pelargos PE, Barnette N, Bhatt NS, Lee SJ, Ung N, Gopen Q, Yang I. Incidental Meningiomas: Management in the Neuroimaging Era. Neurosurg Clin N Am 2016; 27:229-38. [PMID: 27012387 DOI: 10.1016/j.nec.2015.11.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The number of patient imaging studies has increased because of precautious physicians ordering scans when a vague symptom is presented; subsequently, the number of incidental meningiomas detected has increased as well. These brain tumors do not present with related symptoms and are usually small. MRI and computed tomographic scans most frequently capture incidental meningiomas. Incidental meningiomas are managed with observation, radiation, and surgical resection. Ultimately, a conservative approach is recommended, such as observing an incidental meningioma and then only radiating if the tumor displays growth, whereas a surgical approach is to be used only when proven necessary.
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Affiliation(s)
- Marko Spasic
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA
| | - Panayiotis E Pelargos
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA
| | - Natalie Barnette
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA
| | - Nikhilesh S Bhatt
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA
| | - Seung James Lee
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA
| | - Nolan Ung
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA
| | - Quinton Gopen
- Department of Otolaryngology - Head and Neck Surgery, University of California Los Angeles, 10833 Le Conte Ave., CHS 62-132, Los Angeles, CA 90095, USA
| | - Isaac Yang
- Department of Neurological Surgery, University of California Los Angeles, Box 956901, Los Angeles, CA 90095-6901, USA.
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Magnetic resonance imaging of meningiomas: a pictorial review. Insights Imaging 2014; 5:113-22. [PMID: 24399610 PMCID: PMC3948902 DOI: 10.1007/s13244-013-0302-4] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Revised: 11/14/2013] [Accepted: 11/20/2013] [Indexed: 01/17/2023] Open
Abstract
UNLABELLED Meningiomas are the most common non-glial tumour of the central nervous system (CNS). There are a number of characteristic imaging features of meningiomas on magnetic resonance imaging (MRI) that allow an accurate diagnosis, however there are a number of atypical features that may be diagnostically challenging. Furthermore, a number of other neoplastic and non-neoplastic conditions may mimic meningiomas. This pictorial review discusses the typical and atypical MRI features of meningiomas and their mimics. TEACHING POINTS There are several characteristic features of meningiomas on MRI that allow an accurate diagnosis Some meningiomas may display atypical imaging characteristics that may be diagnostically challenging Routine MRI sequences do not reliably distinguish between benign and malignant meningiomas Spectroscopy and diffusion tensor imaging may be useful in the diagnosis of malignant meningiomas A number of conditions may mimic meningiomas; however, they may have additional differentiating features.
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Nagarajan P, Huttner A. A 77-year-old man with sudden onset of left hand weakness and hematuria. Neuropathology 2012; 33:102-7. [PMID: 22672570 DOI: 10.1111/j.1440-1789.2012.01328.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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30
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The diagnostic value of diffusion weighted imaging in patients with meningioma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2012. [DOI: 10.1016/j.ejrnm.2012.01.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
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31
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Pohl KM, Konukoglu E, Novellas S, Ayache N, Fedorov A, Talos IF, Golby A, Wells WM, Kikinis R, Black PM. A new metric for detecting change in slowly evolving brain tumors: validation in meningioma patients. Neurosurgery 2011; 68:225-33. [PMID: 21206318 DOI: 10.1227/neu.0b013e31820783d5] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Change detection is a critical component in the diagnosis and monitoring of many slowly evolving pathologies. OBJECTIVE This article describes a semiautomatic monitoring approach using longitudinal medical images. We test the method on brain scans of patients with meningioma, which experts have found difficult to monitor because the tumor evolution is very slow and may be obscured by artifacts related to image acquisition. METHODS We describe a semiautomatic procedure targeted toward identifying difficult-to-detect changes in brain tumor imaging. The tool combines input from a medical expert with state-of-the-art technology. The software is easy to calibrate and, in less than 5 minutes, returns the total volume of tumor change in mm. We test the method on postgadolinium, T1-weighted magnetic resonance images of 10 patients with meningioma and compare our results with experts' findings. We also perform benchmark testing with synthetic data. RESULTS Our experiments indicated that experts' visual inspections are not sensitive enough to detect subtle growth. Measurements based on experts' manual segmentations were highly accurate but also labor intensive. The accuracy of our approach was comparable to the experts' results. However, our approach required far less user input and generated more consistent measurements. CONCLUSION The sensitivity of experts' visual inspection is often too low to detect subtle growth of meningiomas from longitudinal scans. Measurements based on experts' segmentation are highly accurate but generally too labor intensive for standard clinical settings. We described an alternative metric that provides accurate and robust measurements of subtle tumor changes while requiring a minimal amount of user input.
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Affiliation(s)
- Kilian M Pohl
- Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
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Tantawy HI, Mohamad FF, Ismael AM. The role of advanced MRI techniques in differentiating typical, from atypical and malignant meningiomas. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2010. [DOI: 10.1016/j.ejrnm.2010.08.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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33
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Szitkar B. A meningioma exclusively located inside the superior sagittal sinus responsible for intracranial hypertension. AJNR Am J Neuroradiol 2010; 31:E57-8. [PMID: 20430852 DOI: 10.3174/ajnr.a2130] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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34
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Korah MP, Nowlan AW, Johnstone PAS, Crocker IR. Radiation therapy alone for imaging-defined meningiomas. Int J Radiat Oncol Biol Phys 2010; 76:181-6. [PMID: 19406587 DOI: 10.1016/j.ijrobp.2009.01.066] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2008] [Revised: 01/12/2009] [Accepted: 01/16/2009] [Indexed: 12/27/2022]
Abstract
PURPOSE To assess local control and treatment-related toxicity of single-modality radiation therapy (RT) in the treatment of imaging-defined meningiomas. METHODS AND MATERIALS The records of Emory University School of Medicine, Atlanta, GA, were reviewed between 1985 and 2003. We identified 41 patients with 42 meningiomas treated with RT alone for lesions diagnosed on imaging alone. No patients received a histologic diagnosis. Patients in whom there was uniform agreement that the tumor represented a meningioma were accepted for therapy. Of the patients, 22 were treated with stereotactic radiosurgery (SRS), 11 with fractionated stereotactic radiotherapy (FSR), and 9 with three-dimensional conformal therapy (3DCRT). The median doses of SRS, FSR, and 3DCRT were 14 Gy, 50.4 Gy, and 52.2 Gy, respectively. RESULTS Median follow-up was 60 months. Of 42 meningiomas, 39 were locally controlled. The 8-year actuarial local control rate by Kaplan-Meier methods was 94%. One failure occurred 6 months after 3DCRT, a second at 34 months after FSR, and a third at 125 months after SRS. A temporary symptomatic radiation-related neurologic sequela developed in 1 patient treated with SRS. No fatal treatment complications occurred. The 8-year rate for actuarial freedom from complication survival by Kaplan-Meier methods was 97%. CONCLUSIONS RT alone is an attractive alternative to surgery for imaging-defined meningiomas without significant mass effect. It offers local control comparable to surgical resection with minimal morbidity. RT should be considered as a viable alternative to surgery for tumors in various locations.
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Affiliation(s)
- Mariam P Korah
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA.
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35
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Konukoglu E, Wells WM, Novellas S, Ayache N, Kikinis R, Black PM, Pohl KM. MONITORING SLOWLY EVOLVING TUMORS. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING 2008; 2008:812-815. [PMID: 28593030 DOI: 10.1109/isbi.2008.4541120] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Change detection is a critical task in the diagnosis of many slowly evolving pathologies. This paper describes an approach that semi-automatically performs this task using longitudinal medical images. We are specifically interested in meningiomas, which experts often find difficult to monitor as the tumor evolution can be obscured by image artifacts. We test the method on synthetic data with known tumor growth as well as ten clinical data sets. We show that the results of our approach highly correlate with expert findings but seem to be less impacted by inter- and intra-rater variability.
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Affiliation(s)
- E Konukoglu
- Asclepios Research Project, INRIA, Sophia Antipolis, France
| | - W M Wells
- Brigham & Women's Hospital, Boston, MA
| | - S Novellas
- Asclepios Research Project, INRIA, Sophia Antipolis, France
| | - N Ayache
- Asclepios Research Project, INRIA, Sophia Antipolis, France
| | - R Kikinis
- Brigham & Women's Hospital, Boston, MA
| | - P M Black
- Brigham & Women's Hospital, Boston, MA
| | - K M Pohl
- Brigham & Women's Hospital, Boston, MA
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36
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Colnat-Coulbois S, Schmitt E, Klein O, Weinbreck N, Auque J, Civit T. ANGIOLEIOMYOMA OF THE CAVERNOUS SINUS. Neurosurgery 2008; 62:E257-8; discussion E258. [DOI: 10.1227/01.neu.0000311086.81142.cd] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
| | - Emmanuelle Schmitt
- Department of Neuroradiology, University Hospital of Nancy, Nancy, France
| | - Olivier Klein
- Department of Neurosurgery, University Hospital of Nancy, Nancy, France
| | - Nicolas Weinbreck
- Department of Pathology, University Hospital of Nancy, Nancy, France
| | - Jean Auque
- Department of Neurosurgery, University Hospital of Nancy, Nancy, France
| | - Thierry Civit
- Department of Neurosurgery, University Hospital of Nancy, Nancy, France
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