Glioma Imaging: Physiologic, Metabolic, and Molecular Approaches

ISBN-13: 9783030273613 / Angielski / Miękka / 2020 / 286 str.

Whitney B. Pope

Spis treści

1. Indications and limitations of conventional imaging – current clinical practice in the context of standard therapy

Raymond Y. Huang, Patrick Y. Wen (patrick_wen@dfci.harvard.edu ) 

2. Surrogates for disease status – contrast enhancement including limitations of pseudoprogression and pseudoresponse

Elke Hattingen  

3. The Relationship Between Biological and Imaging Characteristics in Enhancing and Nonenhancing Glioma

Janine M. Lupo, Javier E. Villanueva-Meyer 

4. Contrast-Enhanced T1-Weighted Digital Subtraction for Increased Lesion Conspicuity and Quantifying Treatment Response in Malignant Gliomas

Benjamin M. Ellingson 

5. Advanced physiologic imaging: perfusion.  Theory and applications 

Philipp Kickingereder, Ji Eun Park, Jerrold L. Boxerman

6. Advanced physiologic imaging:  diffusion.  Theory and applications 

Peter S. LaViolette

7. Parametric Response Map (PRM) Analysis Improves Response Assessment in Gliomas

Michael Cardenas, Craig J. Galban, Thomas L. Chenevert, Michelle Miller-Thomas, Brian  D. Ross, Christina Tsien

8. Review of WHO 2016 changes to classification of gliomas; incorporation of molecular markers 

Derek R. Johnson, Caterina Giannini , Timothy J. Kaufmann

9. Imaging markers of Low Grade Diffuse Glioma 

Melanie A. Morrison, Adam D. Waldman

10. CEST, pH and glucose imaging as markers for hypoxia and malignant transformation

Daniel Paech, Alexander Radbruch 

11. MRS for D-2HG detection in IDH mutant glioma

Ovidiu C. Andronessi, Tracy T. Batchelor,   Daniel P. Cahill 

12.  C-13 hyperpolarized MR spectroscopy for metabolic imaging of brain tumors

Pavithra Viswanath, Yan Li, Sabrina M. Ronen

13.  FET and FDOPA PET imaging in glioma 

Norbert Galdiks,  Philipp Lohmann, Francesco Cicone, Karl-Josef Langen

14. Imaging genomics 

Cymon N. Kersch, Ramon F. Barajas

15.  Radiomics and machine learning 

Julie Ferris, Peter D. Chang, Daniel S. Chow

16. Immunotherapy and Gliomas

Elise Wang, Robert J. Young, Ankush Bhatia

17.  The path forward –The standardized Brain Tumor Imaging Protocol (BTIP) for Multicenter Trials

Benjamin M. Ellingson, Marion Smits

O autorze

Whitney B. Pope, MD, PhD is Professor-in-Residence and Director of Brian Tumor Imaging in the Department  of Radiological Sciences at the David Geffen School of Medicine at UCLA. He has served on the editorial board of several neurology and neuroradiology journals, including Neuro-Oncology. He has presented and published widely on brain tumor imaging.

Blurb

This book covers physiologic, metabolic and molecular imaging for gliomas. Gliomas are the most common primary brain tumors.  Imaging is critical for glioma management because of its ability to noninvasively define the anatomic location and extent of disease. While conventional MRI is used to guide current treatments, multiple studies suggest molecular features of gliomas may be identified with noninvasive imaging, including physiologic MRI and amino acid positron emission tomography (PET). These advanced imaging techniques have the promise to help elucidate underlying tumor biology and provide important information that could be integrated into routine clinical practice.

The text outlines current clinical practice including common scenarios in which imaging interpretation impacts patient management.  Gaps in knowledge and potential areas of advancement based on the application of more experimental imaging techniques will be discussed. In reviewing this book, readers will learn: 

• current standard imaging methodologies used in clinical practice for patients undergoing treatment for glioma and the implications of emerging treatment modalities including immunotherapy
• the theoretical basis for advanced imaging techniques including diffusion and perfusion MRI, MR spectroscopy, CEST and amino acid PET 
• the relationship between imaging and molecular/genomic glioma features incorporated in the WHO 2016 classification update and the potential application of machine learning
  
• about  the recently adopted and FDA approved standard brain tumor protocol for multicenter drug trials
  
• of the gaps in knowledge that impede optimal patient management and the cutting edge imaging techniques that could address these deficits