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La Torre D, Della Torre A, Lo Turco E, Longo P, Pugliese D, Lacroce P, Raudino G, Romano A, Lavano A, Tomasello F. Primary Intracranial Gliosarcoma: Is It Really a Variant of Glioblastoma? An Update of the Clinical, Radiological, and Biomolecular Characteristics. J Clin Med 2023; 13:83. [PMID: 38202090 PMCID: PMC10779593 DOI: 10.3390/jcm13010083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
Gliosarcomas (GS) are sporadic malignant tumors classified as a Glioblastoma (GBM) variant with IDH-wild type phenotype. It appears as a well-circumscribed lesion with a biphasic, glial, and metaplastic mesenchymal component. The current knowledge about GS comes from the limited literature. Furthermore, recent studies describe peculiar characteristics of GS, such as hypothesizing that it could be a clinical-pathological entity different from GBM. Here, we review radiological, biomolecular, and clinical data to describe the peculiar characteristics of PGS, treatment options, and outcomes in light of the most recent literature. A comprehensive literature review of PubMed and Web of Science databases was conducted for articles written in English focused on gliosarcoma until 2023. We include relevant data from a few case series and only a single meta-analysis. Recent evidence describes peculiar characteristics of PGS, suggesting that it might be a specific clinical-pathological entity different from GBM. This review facilitates our understanding of this rare malignant brain tumor. However, in the future we recommend multi-center studies and large-scale metanalyses to clarify the biomolecular pathways of PGS to develop new specific therapeutic protocols, different from conventional GBM therapy in light of the new therapeutic opportunities.
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Affiliation(s)
- Domenico La Torre
- Department of Medical and Surgery Sciences, School of Medicine, AOU “Renato Dulbecco”, University of Catanzaro, 88100 Catanzaro, Italy; (A.D.T.); (P.L.); (P.L.); (A.L.)
| | - Attilio Della Torre
- Department of Medical and Surgery Sciences, School of Medicine, AOU “Renato Dulbecco”, University of Catanzaro, 88100 Catanzaro, Italy; (A.D.T.); (P.L.); (P.L.); (A.L.)
| | - Erica Lo Turco
- Department of Medical and Surgery Sciences, School of Medicine, AOU “Renato Dulbecco”, University of Catanzaro, 88100 Catanzaro, Italy; (A.D.T.); (P.L.); (P.L.); (A.L.)
| | - Prospero Longo
- Department of Medical and Surgery Sciences, School of Medicine, AOU “Renato Dulbecco”, University of Catanzaro, 88100 Catanzaro, Italy; (A.D.T.); (P.L.); (P.L.); (A.L.)
| | - Dorotea Pugliese
- Humanitas, Istituto Clinico Catanese, 95045 Catania, Italy; (D.P.); (G.R.); (A.R.); (F.T.)
| | - Paola Lacroce
- Department of Medical and Surgery Sciences, School of Medicine, AOU “Renato Dulbecco”, University of Catanzaro, 88100 Catanzaro, Italy; (A.D.T.); (P.L.); (P.L.); (A.L.)
| | - Giuseppe Raudino
- Humanitas, Istituto Clinico Catanese, 95045 Catania, Italy; (D.P.); (G.R.); (A.R.); (F.T.)
| | - Alberto Romano
- Humanitas, Istituto Clinico Catanese, 95045 Catania, Italy; (D.P.); (G.R.); (A.R.); (F.T.)
| | - Angelo Lavano
- Department of Medical and Surgery Sciences, School of Medicine, AOU “Renato Dulbecco”, University of Catanzaro, 88100 Catanzaro, Italy; (A.D.T.); (P.L.); (P.L.); (A.L.)
| | - Francesco Tomasello
- Humanitas, Istituto Clinico Catanese, 95045 Catania, Italy; (D.P.); (G.R.); (A.R.); (F.T.)
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Lazarte-Rantes C, Pillaca-Cruzado O, Baca-Hinojosa N, Mamani W, Lee-Diaz J, Ugas-Charcape CF. MRI findings of primary intracranial sarcomas in children. Pediatr Radiol 2023; 53:1698-1703. [PMID: 36943446 DOI: 10.1007/s00247-023-05605-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/15/2022] [Accepted: 01/12/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Primary intracranial sarcoma is a very rare high-grade tumor. Scant reports exist on this malignancy in children, which limit the information about its imaging characteristics. OBJECTIVE We aimed to describe the main characteristics of primary intracranial sarcoma on MRI. MATERIALS AND METHODS In this cross-sectional descriptive observational study, we reviewed 18 patients (aged 1-18 years) with primary intracranial sarcomas diagnosed between 2015 and 2021. RESULTS The main findings were contrast enhancement (100%), diffusion restriction (78%), hemorrhage (89%), meningeal extension (67%), necrosis (67%), and supratentorial location (72%). CONCLUSION Primary intracranial sarcoma are typically supratentorial in location. MRI findings of primary intracranial sarcoma are similar to other intracranial malignancies.
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Affiliation(s)
- Claudia Lazarte-Rantes
- Department of Diagnostic Imaging, Instituto Nacional de Salud del Niño San Borja, Av. Javier Prado Este 3101, 15037, Lima, Peru.
| | - Osmar Pillaca-Cruzado
- Department of Diagnostic Imaging, Instituto Nacional de Salud del Niño San Borja, Av. Javier Prado Este 3101, 15037, Lima, Peru
| | - Nella Baca-Hinojosa
- Department of Diagnostic Imaging, Hospital Luis Negreiros Vega, Av. Tomas Valle 3535, 07036, Lima, Peru
| | - Waldemar Mamani
- Department of Diagnostic Imaging, Hospital Daniel Alcides Carrión, Av. Guardia Chalaca 2176, 07016, Lima, Peru
| | - Jorge Lee-Diaz
- Department of Diagnostic Imaging, Le Bonheur Children Hospital, University of Tennessee Health Science Center, 50 North Dunlap, Memphis, TN, 38103, USA
| | - Carlos F Ugas-Charcape
- Department of Diagnostic Imaging, Instituto Nacional de Salud del Niño San Borja, Av. Javier Prado Este 3101, 15037, Lima, Peru
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Farche MK, Fachinetti NO, da Silva LRP, Matos LA, Appenzeller S, Cendes F, Reis F. Revisiting the use of proton magnetic resonance spectroscopy in distinguishing between primary and secondary malignant tumors of the central nervous system. Neuroradiol J 2022; 35:619-626. [PMID: 35446177 PMCID: PMC9513916 DOI: 10.1177/19714009221083145] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND PURPOSE Conventional magnetic resonance images (MRI) has limitations in distinguishing primary from secondary brain tumors. Proton magnetic resonance spectroscopy (1H-MRS) allows evaluation of the concentration of metabolites in a brain lesion and, hence, better characterization of the tumor. Considering that an accurate diagnosis determines the choice of treatment, our purpose was to assess the usefulness of spectroscopy data for differentiating between primary and secondary brain neoplasms. MATERIALS AND METHODS We undertook a retrospective analysis of 61 MRI and 1H-MRS images of patients with histologically confirmed tumors (30 primary tumors and 31 metastatic tumors). The metabolite ratios of Cho/Cr and NAA/Cr at short TE were determined from spectroscopic curves, with a single voxel positioned in the enhancing tumor. Additional variables analyzed along with the metabolites, like as age and gender, allowed the construction of a logistic regression model to predict the tumor's nature. The statistical analysis was done using the R software (version 4.0.3 R Core Team, 2020). RESULTS The mean NAA/Cr and Cho/Cr ratios were higher in secondary tumors, with a good correlation between NAA/Cr and Cho/Cr (r = 0.61). The mean age of patients with primary tumors was lower than for secondary tumors (43.9 vs 55.9, respectively). Receiver operating characteristic analysis yielded a cut-off value of 0.4 for the NAA/Cr ratio with an accuracy of 73.8%, a sensitivity of 73.3% and a specificity of 74.2% in predicting metastatic tumors. CONCLUSION The model was reasonable in predicting the nature of the tumor and provides an additional tool for analyzing brain tumors.
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Affiliation(s)
- Milena K Farche
- Departamento de Anestesiologia,
Oncologia e Radiologia, Faculdade de Ciências Médicas, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
| | - Natalia O Fachinetti
- Departamento de Anestesiologia,
Oncologia e Radiologia, Faculdade de Ciências Médicas, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
| | - Luciana RP da Silva
- Instituto Brasileiro de
Neurociências e Neurotecnologia (CEPID/BRAINN), Faculdade de Ciências Médicas, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
| | - Larissa A Matos
- Instituto de Matemática,
Estatística e Computação Científica (IMECC), Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
| | - Simone Appenzeller
- Departamento de Ortopedia,
Reumatologia e Traumatologia, Faculdade de Ciências Médicas, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
| | - Fernando Cendes
- Departamento de Neurologia,
Faculdade de Ciências Médicas, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
| | - Fabiano Reis
- Departamento de Anestesiologia,
Oncologia e Radiologia, Faculdade de Ciências Médicas, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brazil
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Determining the applicability of the RSNA radiology lexicon (RadLex) in high-grade glioma MRI reporting-a preliminary study on 20 consecutive cases with newly diagnosed glioblastoma. BMC Med Imaging 2022; 22:53. [PMID: 35331160 PMCID: PMC8944106 DOI: 10.1186/s12880-022-00776-8] [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: 07/12/2021] [Accepted: 03/13/2022] [Indexed: 11/30/2022] Open
Abstract
Background The implementation of a collective terminology in radiological reporting such as the RSNA radiological lexicon (RadLex) yields many benefits including unambiguous communication of findings, improved education, and fostering data mining for research purposes. While some fields in general radiology have already been evaluated so far, this is the first exploratory approach to assess the applicability of the RadLex terminology to glioblastoma (GBM) MRI reporting.
Methods Preoperative brain MRI reports of 20 consecutive patients with newly diagnosed GBM (mean age 68.4 ± 10.8 years; 12 males) between January and October 2010 were retrospectively identified. All terms related to the tumor as well as their frequencies of mention were extracted from the MRI reports by two independent neuroradiologists. Every item was subsequently analyzed with respect to an equivalent RadLex representation and classified into one of four groups as follows: 1. verbatim RadLex entity, 2. synonymous/multiple equivalent(s), 3. combination of RadLex concepts, or 4. no RadLex equivalent. Additionally, verbatim entities were categorized using the hierarchical RadLex Tree Browser. Results A total of 160 radiological terms were gathered. 123/160 (76.9%) items showed literal RadLex equivalents, 9/160 (5.6%) items had synonymous (non-verbatim) or multiple counterparts, 21/160 (13.1%) items were represented by means of a combination of concepts, and 7/160 (4.4%) entities could not eventually be transferred adequately into the RadLex ontology. Conclusions Our results suggest a sufficient term coverage of the RadLex terminology for GBM MRI reporting. If applied extensively, it may improve communication of radiological findings and facilitate data mining for large-scale research purposes. Supplementary Information The online version contains supplementary material available at 10.1186/s12880-022-00776-8.
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Tuan HX, Hung ND, Minh ND, Van Anh NT, Vi NH, Duy NQ, Duc NM, Hoan TC. Primary intraventricular gliosarcoma on MRI: A challenging diagnosis. Radiol Case Rep 2022; 17:685-689. [PMID: 35003460 PMCID: PMC8718817 DOI: 10.1016/j.radcr.2021.12.022] [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: 12/05/2021] [Accepted: 12/13/2021] [Indexed: 11/18/2022] Open
Abstract
Gliosarcoma (GS) is an uncommon central nervous system tumor with several characteristics of a malignant neoplasm and poor prognosis. The majority of GS reports describe a predilection for the cerebral hemispheres, and cases of intraventricular GS are extremely rare, with only a few reported. In addition, intraventricular GS has not been associated with any unique radiographic or clinical features, which can result in misdiagnosis as other intraventricular tumor types. In this report, we present the case of a 32-year-old woman with GS in the trigone of the lateral ventricle and provide a retrospective review of similar, previously reported cases.
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Affiliation(s)
- Ho Xuan Tuan
- Department of Radiology, Department of Radiology, School of Medicine and Pharmacy, University of Da Nang, Da Nang City, Vietnam
| | - Nguyen Duy Hung
- Department of Radiology, Hanoi Medical University, Hanoi, Vietnam
- Department of Radiology, Viet Duc Hospital, Hanoi, Vietnam
- Corresponding author.
| | | | | | - Nguyen Ha Vi
- Department of Radiology, Hanoi Medical University, Hanoi, Vietnam
| | - Ngo Quang Duy
- Department of Radiology, Ha Giang General Hospital, Ha Giang, Vietnam
| | - Nguyen Minh Duc
- Department of Radiology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
- Co-corresponding author.
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Fan H, Yu Y, Du J, Liu L, Luo Y, Yu H, Liao X. Computed Tomography, Magnetic Resonance Imaging, and Pathological Features of Gliosarcoma. Neuropsychiatr Dis Treat 2022; 18:2577-2589. [PMID: 36387942 PMCID: PMC9642797 DOI: 10.2147/ndt.s386616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE To investigate the clinical, imaging, and pathological features of gliosarcoma. METHODS The clinical data of 14 patients with gliosarcoma confirmed by surgery and pathology at our hospital between 2010 and 2021 were analyzed retrospectively, and the relevant literature was reviewed. RESULTS In all 14 cases, the gliosarcoma was located in the supratentorial brain parenchyma and involved a single lesion. There were more male patients (64.3%) than female patients (35.7%), and 57.1% of all the patients were 40-60 years of age. The prognosis of all 14 patients was poor, and the average survival time was approximately seven months. The computed tomography findings revealed mostly mixed density lesions, and some cases were complicated with bleeding. The magnetic resonance imaging revealed irregularly shaped mass lesions of different sizes, with uneven or circular enhancement. Cystic degeneration and necrosis could be seen in all the masses, some of which showed signs of bleeding and were surrounded by different degrees of edema and space-occupying effects. The pathological examination revealed that the tumors had bidirectional differentiation of the glial and sarcoma components, while the immunohistochemistry examination revealed glial fibrillary acidic protein-positive and reticular fiber-positive staining in the sarcoma. CONCLUSION The clinical manifestations of gliosarcoma are nonspecific, but imaging reveals that the condition has certain characteristics, typically consisting of a huge supratentorial mass, with an irregular heterogeneous periphery or obvious mass-like augmentation after enhancement. The final diagnosis depends on the results of a pathological examination.
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Affiliation(s)
- Haiqing Fan
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
| | - Yue Yu
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
| | - Jinhui Du
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
| | - Likun Liu
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
| | - Yilin Luo
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
| | - Hui Yu
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
| | - Xin Liao
- Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, 550004, People's Republic of China
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