Advances in diffuse glial tumors diagnosis.
Luis Filipe de Souza GodoyVitor Ribeiro PaesAline Sgnolf AyresGabriela Alencar BandeiraRaquel Andrade MorenoFabiana de Campos Cordeiro HirataFrederico Adolfo Benevides SilvaFelipe Barjud Pereira do NascimentoGuilherme de Carvalho Campos NetoAndre Felix GentilLeandro Tavares LucatoEdson Amaro JúniorRobert J YoungSuzana Maria Fleury MalheirosPublished in: Arquivos de neuro-psiquiatria (2023)
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.
Keyphrases
- artificial intelligence
- machine learning
- big data
- deep learning
- high resolution
- end stage renal disease
- contrast enhanced
- magnetic resonance imaging
- newly diagnosed
- genome wide
- randomized controlled trial
- magnetic resonance
- low grade
- systematic review
- ejection fraction
- squamous cell carcinoma
- spinal cord injury
- poor prognosis
- multiple sclerosis
- cerebrospinal fluid
- peritoneal dialysis
- photodynamic therapy
- spinal cord
- drug induced
- solid state
- combination therapy