GABRIELA ALENCAR BANDEIRA RODRIGUES
Índice h a partir de 2011
1
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina - Médico
4 resultados
Resultados de Busca
Agora exibindo 1 - 4 de 4
- Advances in diffuse glial tumors diagnosis(2023) GODOY, Luis Filipe de Souza; PAES, Vitor Ribeiro; AYRES, Aline Sgnolf; BANDEIRA, Gabriela Alencar; MORENO, Raquel Andrade; HIRATA, Fabiana de Campos Cordeiro; SILVA, Frederico Adolfo Benevides; NASCIMENTO, Felipe; CAMPOS NETO, Guilherme de Carvalho; GENTIL, Andre Felix; LUCATO, Leandro Tavares; AMARO JUNIOR, Edson; YOUNG, Robert J.; MALHEIROS, Suzana Maria FleuryIn recent decades, there have been significant advances in the diagnosis of diffuse gliomas, driven by the integration of novel technologies. These advancements have deepened our understanding of tumor oncogenesis, enabling a more refined stratification of the biological behavior of these neoplasms. This progress culminated in the fifth edition of the WHO classification of central nervous system (CNS) tumors in 2021. This comprehensive review article aims to elucidate these advances within a multidisciplinary framework, contextualized within the backdrop of the new classification. This article will explore morphologic pathology and molecular/genetics techniques (immunohistochemistry, genetic sequencing, and methylation profiling), which are pivotal in diagnosis, besides the correlation of structural neuroimaging radiophenotypes to pathology and genetics. It briefly reviews the usefulness of tractography and functional neuroimaging in surgical planning. Additionally, the article addresses the value of other functional imaging techniques such as perfusion MRI, spectroscopy, and nuclear medicine in distinguishing tumor progression from treatment-related changes. Furthermore, it discusses the advantages of evolving diagnostic techniques in classifying these tumors, as well as their limitations in terms of availability and utilization. Moreover, the expanding domains of data processing, artificial intelligence, radiomics, and radiogenomics hold great promise and may soon exert a substantial influence on glioma diagnosis. These innovative technologies have the potential to revolutionize our approach to these tumors. Ultimately, this review underscores the fundamental importance of multidisciplinary collaboration in employing recent diagnostic advancements, thereby hoping to translate them into improved quality of life and extended survival for glioma patients.
- Oncocytic Meningioma: Case Report of a Rare Meningioma Variant(2023) CASAL, Yuri Reis; TEIXEIRA, Livia Porto; BANDEIRA, Gabriela Alencar; PORCEBAN, Matheus Moreli; PAIVA, Wellingson Silva; GODOY, Luis Filipe de Souza; YAMAKI, Vitor Nagai; LUCATO, Leandro Tavares; ALVES, Venancio Avancini Ferreira; FRASSETTO, Fernando PereiraOncocytic meningioma has been first identified in 1997 as a rare meningioma variant, composed predominantly of large meningothelial cells with abundant intracytoplasmic mitochondria. Here, we describe a 34-year-old male patient presenting with 2 weeks of progressive holocranial headache. Brain magnetic resonance imaging (MRI) revealed an extra axial solid-cystic expansive lesion in the left parieto-occipital parasagittal region, with intense vascularization. Histological and immunohistochemical analysis established the diagnosis. We also review briefly the pathological and radiological findings of this rare variant of meningioma as described in the literature.
- Glioneuronal and Neuronal Tumors: Who? When? Where? An Update Based on the 2021 World Health Organization Classification(2023) AYRES, A. S.; BANDEIRA, G. A.; FERRACIOLLI, S. F.; TAKAHASHI, J. T.; MORENO, R. A.; GODOY, L. F. de Souza; CASAL, Y. R.; LIMA, L. G. C. A. de; FRASSETO, F. P.; LUCATO, L. T.Neuronal and glioneuronal tumors usually have a benign course and may have typical imaging characteristics, allowing their diagnosis based on MR imaging findings. The most common lesions are dysembryoplastic neuroepithelial tumors and gangliogliomas, which have typical imaging characteristics. The fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System, recently published in 2021, places greater emphasis on molecular markers to classify tumors of the CNS, leading to extensive changes in the classification of tumors, including neuronal and glioneuronal tumors. The 2021 revision included 3 new tumors types: multinodular and vacuolating neuronal tumor, diffuse glioneuronal tumor with oligodendroglioma-like features and nuclear clusters (a provisional type), and myxoid glioneuronal tumor. Following these recent changes in the World Health Organization classification, we aimed to review the main imaging features of these lesions in relation to their histopathologic and molecular features. Learning Objectives: To list the neuronal and glioneuronal tumors; recognize the main imaging findings and histologic characteristics of neuronal and glioneuronal tumors; know the typical location of each neuronal and glioneuronal tumor; and become familiar with the main molecular alterations of neuronal and glioneuronal tumors to better understand their behavior
- Dural-based lesions: is it a meningioma?(2021) YAMAKI, Vitor Nagai; GODOY, Luis Filipe de Souza; BANDEIRA, Gabriela Alencar; LUCATO, Leandro Tavares; LORDELO, Gustavo Correa; SOLLA, Davi Jorge Fontoura; NEVILLE, Iuri Santana; TEIXEIRA, Manoel Jacobsen; PAIVA, Wellingson SilvaPurpose Meningiomas are the most common extra-axial intracranial neoplasms with typical radiological findings. In approximately 2% of cases, histopathological reports reveal different neoplasms or non-neoplastic lesions that can closely mimic meningiomas. We describe radiological features of meningioma mimics highlighting imaging red flags to consider a differential diagnosis. Methods A total of 348 lesions with radiological diagnosis of meningiomas which underwent to surgical treatment or biopsy between December of 2000 and September of 2014 were analyzed. We determined imaging features that are not a typical finding of meningiomas, suggesting other lesions. The following imaging characteristics were evaluated on CT and MRI: (a) bone erosion; (b) hyperintensity on T2WI; (c) hypointensity on T2WI; (d) bone destruction; (e) dural tail; (f) leptomeningeal involvement; (g) pattern of contrast enhancement; (h) dural displacement sign. Results We have a relatively high prevalence of meningioma mimics (7.2%). Dural-based lesions with homogeneous contrast enhancement (52%) are easily misdiagnosed as meningiomas. Most lesions mimic convexity (37.5%) or parafalcine (21.9%) meningiomas. We have determined five imaging red flags that can alert radiologists to consider meningioma mimics: (1) bone erosion (22.2%); (2) dural displacement sign (36%); (3) marked T2 hypointensity (32%); (4) marked T2 hyperintensity (12%); (5) absence of dural tail (48%). The most common mimic lesion in our series was hemangiopericytomas, followed by lymphomas and schwannomas. Conclusion The prevalence of meningioma mimics is not negligible. It is important to have awareness on main radiological findings suggestive of differential diagnosis due to a wide range of differentials which lead to different prognosis and treatment strategies.