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Publication
Electroencephalographic findings in brain tumors: a systematic review
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Advisor(s)
Abstract(s)
Introdução: As neoplasias cerebrais são patologias complexas que constituem uma das preocupações relevantes em saúde pública. Apesar da sua baixa incidência, estão associadas a elevadas taxas de morbilidade e mortalidade, com implicações sociais e económicas importantes. O eletroencefalograma (EEG) tem-se revelado uma ferramenta importante na caracterização de diferentes tipos de neoplasias cerebrais.
Objetivo: Identificar padrões eletroencefalográficos em doentes com diagnóstico de neoplasias cerebrais através da revisão sistemática da literatura.
Metodologia: Foram seguidas as recomendações do PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) para a realização da revisão sistemática.
Foram realizadas pesquisas nas bases de dados PubMed®, Web of Science™, Scopus, Cochrane Library e Scielo, em fevereiro de 2024, de acordo com um estratégia PICO.
Foram incluídos estudos com adultos de ambos os sexos, com diagnóstico de neoplasia cerebral, realização de EEG prévio ao início da terapêutica, escritos em inglês, espanhol e português. Foram excluídos estudos em doentes com diagnóstico prévio de epilepsia ou outra patologia neurológica com alterações em EEG, modelos animais, artigos de revisão e casos clínicos.
Resultados: Foram incluídos 8 artigos com participantes com diagnóstico de neoplasias cerebrais primárias e metastáticas, num total de 306 doentes. Houve predomínio do sexo masculino (53,3%), com idades entre 19-86 anos. As neoplasias primárias tiveram maior prevalência (92,8%), com maior representatividade do glioblastoma (29,0%), com envolvimento mais frequente do lobo frontal (29,7%). Foi realizado EEG em todos os participantes, com identificação mais frequente de alterações focais (31,9%), atividade epileptiforme (26,2%) e atividade lenta delta/teta (13,5%).
Conclusão: Foram identificadas diferentes alterações no EEG de acordo com o tipo e localização do tumor. Estes achados isoladamente não estabelecem o diagnóstico de neoplasia cerebral, mas permitem auxiliar o diagnóstico diferencial e o seguimento destes doentes.
Introduction: Brain neoplasms are complex pathologies that constitute a relevant public health concern. Despite their low incidence, they are associated with high rates of morbidity and mortality. The electroencephalogram (EEG) has proven to be an important tool in the characterization of different types of brain neoplasms. Objective: Identify electroencephalographic patterns in patients diagnosed with brain neoplasms through a systematic review of the literature. Methodologies: The systematic review was carried out in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. The article search process was carried out in the PubMed®, Web of Science™, Scopus, Cochrane Library and Scielo databases, in February 2024, according to a PICO strategy. Inclusion criteria were adults of both sexes; patients diagnosed with brain neoplasia; electroencephalographic recording prior to the start of therapy; articles in English, Spanish and Portuguese. Exclusion criteria were studies in patients with a previous diagnosis of epilepsy or other neurological pathology with electroencephalographic alterations; in animal models; review articles and clinical cases. Findings: Eight articles were included, consisting of primary and metastatic brain neoplasm patients, with a total of 306 individuals. There was a predominance of males (53.3%); age range between 19-86 years. Primary neoplasms had a higher prevalence (92.8%), with a greater representation of glioblastoma (29.0%). The frontal lobe was the most affected by neoplasms (29.7%). EEG was performed on all participants, with the most importante findings being focal alterations (31.9%), epileptiform activity (26.2%) and slow delta/theta activity (13.5%). Conclusion: Different types of electroencephalographic changes were identified, depending on tumor type and location. These findings alone may not prove the existence of neoplasms, but their presense aids in differential diagnosis and follow-up.
Introduction: Brain neoplasms are complex pathologies that constitute a relevant public health concern. Despite their low incidence, they are associated with high rates of morbidity and mortality. The electroencephalogram (EEG) has proven to be an important tool in the characterization of different types of brain neoplasms. Objective: Identify electroencephalographic patterns in patients diagnosed with brain neoplasms through a systematic review of the literature. Methodologies: The systematic review was carried out in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. The article search process was carried out in the PubMed®, Web of Science™, Scopus, Cochrane Library and Scielo databases, in February 2024, according to a PICO strategy. Inclusion criteria were adults of both sexes; patients diagnosed with brain neoplasia; electroencephalographic recording prior to the start of therapy; articles in English, Spanish and Portuguese. Exclusion criteria were studies in patients with a previous diagnosis of epilepsy or other neurological pathology with electroencephalographic alterations; in animal models; review articles and clinical cases. Findings: Eight articles were included, consisting of primary and metastatic brain neoplasm patients, with a total of 306 individuals. There was a predominance of males (53.3%); age range between 19-86 years. Primary neoplasms had a higher prevalence (92.8%), with a greater representation of glioblastoma (29.0%). The frontal lobe was the most affected by neoplasms (29.7%). EEG was performed on all participants, with the most importante findings being focal alterations (31.9%), epileptiform activity (26.2%) and slow delta/theta activity (13.5%). Conclusion: Different types of electroencephalographic changes were identified, depending on tumor type and location. These findings alone may not prove the existence of neoplasms, but their presense aids in differential diagnosis and follow-up.
Description
Keywords
Neoplasias cerebrais Eletroencefalograma. Brain neoplasms Electroencephalogram