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OasisLMS
Catalog
Imaging Gliomas: The Good, Bad and Ugly (2021)
M1-CNR03-2021
M1-CNR03-2021
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Video Transcription
Video Summary
The video is a series of presentations focusing on the advances and challenges in the diagnosis and classification of gliomas, particularly under the new WHO guidelines and through cutting-edge imaging techniques. The initial talks highlight significant updates in the WHO classification for gliomas, emphasizing the critical differentiation between adult and pediatric types, incorporation of new tumor types, and enhanced roles for molecular diagnostics. These classifications, outlined in the fifth edition of the WHO guidelines, provide clearer frameworks for diagnosing and treating different tumor types. <br /><br />Subsequent speakers discuss the importance of advanced radiological techniques in preoperatively assessing whether a lesion is a tumor and the necessity of surgical intervention. They also elaborate on response criteria for evaluating treatment efficacy and the complexities involved in accurately distinguishing real tumor progression from pseudoprogression after standard therapies like radiation and temozolomide.<br /><br />Finally, the talks explore the potential and the current limitations of radiomics and artificial intelligence in the field. Radiomics offers exciting possibilities by extracting large data sets of quantitative features from imaging, potentially enabling more precise tumor assessments than currently possible with human interpretation alone. However, challenges in validation and the need for better explanations of AI-derived insights remain significant hurdles to overcome before these tools can be fully integrated into regular clinical practice.
Keywords
gliomas
WHO guidelines
molecular diagnostics
radiological techniques
tumor classification
pseudoprogression
radiomics
artificial intelligence
tumor assessment
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