BookJosé Javier Otero, Aline Paixao Becker, editors.
Summary: 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, general surgical 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.