Advances in diffuse glial tumors diagnosis

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Arquivos
art_GODOY_Advances_in_diffuse_glial_tumors_diagnosis_2023.PDF (8.2 MB)
Citações na Scopus
1
Tipo de produção
article
Data de publicação
2023
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
ASSOC ARQUIVOS NEURO- PSIQUIATRIA
Autores
HIRATA, Fabiana de Campos Cordeiro
SILVA, Frederico Adolfo Benevides
NASCIMENTO, Felipe
CAMPOS NETO, Guilherme de Carvalho
GENTIL, Andre Felix
Citação
ARQUIVOS DE NEURO-PSIQUIATRIA, v.81, n.12, p.1134-1145, 2023
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
In 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.
Palavras-chave
Glioma, Neuroimaging, Biomarkers, Genetic Profile, Pathology, Precision Medicine, Machine Learning
URI
https://observatorio.fm.usp.br/handle/OPI/58280
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Coleções
Artigos e Materiais de Revistas Científicas - HC/IPq
Artigos e Materiais de Revistas Científicas - HC/ICESP
Artigos e Materiais de Revistas Científicas - HC/ICHC
Artigos e Materiais de Revistas Científicas - HC/InRad
Artigos e Materiais de Revistas Científicas - LIM/22
Artigos e Materiais de Revistas Científicas - LIM/44