Primary sarcoma of the leptomeninges: unusual presentation and previously undescribed neuroimaging features

Tamanini, João Vitor Gerdulli; Rogério, Fábio; Feitoza, Laisson de Moura; Caricati, Thales André; Queiroz, Lorena Lauren Chaves; Reis, Fabiano

doi:10.1590/0004-282x20190095

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…4 The most prevalent primary subtype is glioblastoma (GM), although rare subtypes may exist, such as gliosarcoma 5 or primary sarcoma of the leptomeninges. 6…”

Section: Introductionmentioning

confidence: 99%

“…4 The most prevalent primary subtype is glioblastoma (GM), although rare subtypes may exist, such as gliosarcoma 5 or primary sarcoma of the leptomeninges. 6 In contrast to primary tumors, secondary neoplastic brain lesions develop from the migration of tumor cells from a primary site other than the central nervous system (CNS), including breast, lung, and colorectal tumors. These cells spread through the bloodstream to reach the brain 1 Departamento de Anestesiologia, Oncologia e Radiologia, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil 2 Instituto Brasileiro de Neurociências e Neurotecnologia (CEPID/BRAINN), Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil microvasculature, where complex mechanisms lead to development of the tumor cluster.…”

Section: Introductionmentioning

confidence: 99%

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Revisiting the use of proton magnetic resonance spectroscopy in distinguishing between primary and secondary malignant tumors of the central nervous system

et al. 2022

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Background and purpose Conventional magnetic resonance images (MRI) has limitations in distinguishing primary from secondary brain tumors. Proton magnetic resonance spectroscopy ( 1 H-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 1 H-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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“…4 The most prevalent primary subtype is glioblastoma (GM), although rare subtypes may exist, such as gliosarcoma 5 or primary sarcoma of the leptomeninges. 6…”

Section: Introductionmentioning

confidence: 99%