Full Description
This volume provides a balanced and realistic review of the current state of glioblastoma, ranging from traditional histological review, molecular pathology of glioma, modern radiomics, neurosurgical focus, and integration of treatment plans by neuro-oncologists. The book reviews basic principles such as epidemiology and etiology, and modern 2016 WHO classification of CNS tumors. Chapters cover a general overview of common molecular techniques used in molecular pathology, molecular pathology in a developing country, key drivers of patient outcomes and predictors of response to radiation and/or chemotherapy treatment, and immunohistochemical surrogates for key molecular pathology. It concludes with reviews on radiomics, animal and stem cell models of glioblastoma, and a chapter on the emerging field of Glioblastoma Neuroscience.
Precision Molecular Pathology of Glioblastoma is intended for pathology residents and fellows interested in glioblastoma, generalsurgical pathologists who need reviews on how to implement modern glioblastoma classification, as well as neuro-radiologists, oncologists, and radiation oncologists needing a holistic perspective to glioblastoma diagnosis and management.
Contents
Part I: General Principles.- Epidemiology and etiology of glioblastoma.- The role of Molecular Genetics of Glioblastoma in the Clinical Setting.- Neurosurgical Approach to the Patient with Glioblastoma.- Machine Learning Approaches Pertinent to Glioma Classification.- Histopathology of Adult and Pediatric Glioblastoma.- Principles of Radiation Therapy for Glioblastoma Patients.- 'Implementing Molecular Pathology in a Developing Country.- Part II: Molecular Pathology of Glioblastoma.- Molecular Stratification of Adult and Pediatric High Grade Gliomas.- Genomic Heterogeneity of Aggressive Pediatric and Adult Diffuse Astrocytomas.- Immunohistochemical Surrogates for Molecular Pathology.- Part III: Key Molecular Pathways in Glioblastoma Development and Progression.- Learning-Based Automated Methods for Brain Tumor Segmentation, Subtype Classification, Tracking and Patient Survival Prediction.- Rodent Brain Tumor Models for Neuro-Oncology Research.- Stem cell based modelling of glioblastoma.- The Neuroscience of Glioblastoma
