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008			191111s2020 gw | s |||| 0|eng d
020			_a9783030273590
024	7		_a10.1007/978-3-030-27359-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC280.B7 _b2020 EB
245	0	0	_aGlioma Imaging : _bPhysiologic, Metabolic, and Molecular Approaches _cedited by Whitney B. Pope
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIV, 286 páginas) _b109 ilustraciones, 69 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aMedicine (Springer-11650)
505	0		_a1. Indications and Limitations of Conventional Imaging - Current Clinical Practice in the Context of Standard Therapy -- 2. Surrogates for Disease Status - Contrast Enhancement Including Limitations of Pseudoprogression and Pseudoresponse -- 3. The Relationship Between Biological and Imaging Characteristics in Enhancing and Nonenhancing Glioma -- 4. Contrast-Enhanced T1-Weighted Digital Subtraction for Increased Lesion Conspicuity and Quantifying Treatment Response in Malignant Gliomas -- 5. Advanced Physiologic Imaging: Perfusion. Theory and Applications -- 6. Advanced Physiologic Imaging: Diffusion. Theory and Applications -- 7. Parametric Response Map (PRM) Analysis Improves Response Assessment in Gliomas -- 8. Review of WHO 2016 Changes to Classification of Gliomas; Incorporation of Molecular Markers -- 9. Imaging markers of Low Grade Diffuse Glioma -- 10. CEST, pH and Glucose Imaging as Markers for Hypoxia and Malignant Transformation -- 11. MRS for D-2HG Detection in IDH Mutant Glioma -- 12. C-13 Hyperpolarized MR Spectroscopy for Metabolic Imaging of Brain Tumors -- 13. FET and FDOPA PET Imaging in Glioma -- 14. Imaging Genomics -- 15. Radiomics and Machine Learning -- 16. Immunotherapy and Gliomas -- 17. The Path Forward -The Standardized Brain Tumor Imaging Protocol (BTIP) for Multicenter Trials.
520	3		_aThis 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.
988			_aSpringer_Medicine_2020
650		7	_2embne _9144370 _aGlioma _x Diagnóstico por imagen
650		7	_2embne _9214753 _aCerebro _xTumores
700	1		_aPope, Whitney B. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783030273583
776	0	8	_iPrinted edition: _z9783030273606
776	0	8	_iPrinted edition: _z9783030273613
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-27359-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2020 _dz _ea _zSI