Newer Neuro-Oncologic Imaging Techniques: Potential And Limitations

Glioblastoma is the most common and most aggressive form of primary brain tumor in adults. Despite aggressive multimodal treatment, its prognosis remains poor. Conventional imaging is limited in delineating the full extent of this extremely infiltrative tumor, and �what we cannot see is what we cannot treat’. In this talk we will discuss some of the newer advances that we have seen in the field of neuro-oncologic imaging, specifically for precision diagnostics, review novel imaging based biomarkers and see how these techniques are playing an increasingly meaningful role in informing clinical care and clinical trials. Machine learning (ML) integrated with these neuro-oncologic imaging techniques has introduced new perspectives in precision diagnostics, through radiomics and radiogenomics. In this talk, we will also review practical computational perspectives of some of these radiomic based noninvasive-in-vivo biomarkers for allowing personalized treatments for these brain tumor patients and discuss future directions.