Buch, Englisch, 266 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 646 g
Reihe: Molecular Pathology Library
Buch, Englisch, 266 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 646 g
Reihe: Molecular Pathology Library
ISBN: 978-3-030-69169-1
Verlag: Springer International Publishing
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pathologie, Cytopathologie, Histopathologie
Weitere Infos & Material
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