- •Contents
- •Contributors
- •Brain Tumor Imaging
- •1 Introduction
- •1.1 Overview
- •2 Clinical Management
- •3 Glial Tumors
- •3.1 Focal Glial and Glioneuronal Tumors Versus Diffuse Gliomas
- •3.3 Astrocytomas Versus Oligodendroglial Tumors
- •3.4.1 Diffuse Astrocytoma (WHO Grade II)
- •3.5 Anaplastic Glioma (WHO Grade III)
- •3.5.1 Anaplastic Astrocytoma (WHO Grade III)
- •3.5.3 Gliomatosis Cerebri
- •3.6 Glioblastoma (WHO Grade IV)
- •4 Primary CNS Lymphomas
- •5 Metastatic Tumors of the CNS
- •References
- •MR Imaging of Brain Tumors
- •1 Introduction
- •2 Brain Tumors in Adults
- •2.1 Questions to the Radiologist
- •2.2 Tumor Localization
- •2.3 Tumor Malignancy
- •2.4 Tumor Monitoring
- •2.5 Imaging Protocol
- •Computer Tomography
- •2.6 Case Illustrations
- •3 Pediatric Brain Tumors
- •3.1 Standard MRI
- •3.2 Differential Diagnosis of Common Pediatric Brain Tumors
- •3.3 Early Postoperative Imaging
- •3.4 Meningeal Dissemination
- •References
- •MR Spectroscopic Imaging
- •1 Methods
- •1.1 Introduction to MRS
- •1.2 Summary of Spectroscopic Imaging Techniques Applied in Tumor Diagnostics
- •1.3 Partial Volume Effects Due to Low Resolution
- •1.4 Evaluation of Metabolite Concentrations
- •1.5 Artifacts in Metabolite Maps
- •2 Tumor Metabolism
- •3 Tumor Grading and Heterogeneity
- •3.1 Some Aspects of Differential Diagnosis
- •4 Prognostic Markers
- •5 Treatment Monitoring
- •References
- •MR Perfusion Imaging
- •1 Key Points
- •2 Methods
- •2.1 Exogenous Tracer Methods
- •2.1.1 Dynamic Susceptibility Contrast MRI
- •2.1.2 Dynamic Contrast-Enhanced MRI
- •3 Clinical Application
- •3.1 General Aspects
- •3.3 Differential Diagnosis of Tumors
- •3.4 Tumor Grading and Prognosis
- •3.5 Guidance for Biopsy and Radiation Therapy Planning
- •3.6 Treatment Monitoring
- •References
- •Diffusion-Weighted Methods
- •1 Methods
- •2 Microstructural Changes
- •4 Prognostic Marker
- •5 Treatment Monitoring
- •Conclusion
- •References
- •1 MR Relaxometry Techniques
- •2 Transverse Relaxation Time T2
- •4 Longitudinal Relaxation Time T1
- •6 Cest Method
- •7 CEST Imaging in Brain Tumors
- •References
- •PET Imaging of Brain Tumors
- •1 Introduction
- •2 Methods
- •2.1 18F-2-Fluoro-2-Deoxy-d-Glucose
- •2.2 Radiolabeled Amino Acids
- •2.3 Radiolabeled Nucleoside Analogs
- •2.4 Imaging of Hypoxia
- •2.5 Imaging Angiogenesis
- •2.6 Somatostatin Receptors
- •2.7 Radiolabeled Choline
- •3 Delineation of Tumor Extent, Biopsy Guidance, and Treatment Planning
- •4 Tumor Grading and Prognosis
- •5 Treatment Monitoring
- •7 PET in Patients with Brain Metastasis
- •8 Imaging of Brain Tumors in Children
- •9 Perspectives
- •References
- •1 Treatment of Gliomas and Radiation Therapy Techniques
- •2 Modern Methods and Strategies
- •2.2 3D Conformal Radiation Therapy
- •2.4 Stereotactic Radiosurgery (SRS) and Radiotherapy
- •2.5 Interstitial Brachytherapy
- •2.6 Dose Prescription
- •2.7 Particle Radiation Therapy
- •3 Role of Imaging and Treatment Planning
- •3.1 Computed Tomography (CT)
- •3.2 Magnetic Resonance Imaging (MRI)
- •3.3 Positron Emission Tomography (PET)
- •4 Prognosis
- •Conclusion
- •References
- •1 Why Is Advanced Imaging Indispensable for Modern Glioma Surgery?
- •2 Preoperative Imaging Strategies
- •2.4 Preoperative Imaging of Function and Functional Anatomy
- •2.4.1 Imaging of Functional Cortex
- •2.4.2 Imaging of Subcortical Tracts
- •3 Intraoperative Allocation of Relevant Anatomy
- •Conclusions
- •References
- •Future Methods in Tumor Imaging
- •1 Special Editing Methods in 1H MRS
- •1.1 Measuring Glycine
- •2 Other Nuclei
- •2.1.1 Spatial Resolution
- •2.1.2 Measuring pH
- •2.1.3 Measuring Lipid Metabolism
- •2.1.4 Energy Metabolism
- •References
MR Perfusion Imaging
Christine Preibisch, Vivien Tóth, and Claus Zimmer
Contents
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Key Points............................................................................ |
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2 |
Methods................................................................................ |
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2.1 |
Exogenous Tracer Methods................................................... |
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2.2\ |
Endogenous Tracer Methods: Arterial Spin Labeling........... |
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Clinical Application............................................................ |
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3.1 |
General Aspects..................................................................... |
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3.2\ |
Pathophysiological Background: Neovascularization |
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in Brain Tumors.................................................................... |
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Differential |
Diagnosis of Tumors.......................................... |
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3.4\ |
Tumor |
Grading and Prognosis.............................................. |
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3.5\ |
Guidance |
for Biopsy and Radiation Therapy Planning......... |
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3.6 |
Treatment Monitoring........................................................... |
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References..................................................................................... |
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Abstract
Perfusion imaging is a powerful tool in the imaging of brain tumors, improving differential diagnostics, tumor grading, and the planning and monitoring of different therapy modalities. Several technical approaches are available to characterize tumor perfusion; these methods are widely available, easy to apply, and the results provide essential additional information on brain tumor pathophysiology. This chapter provides a review of different perfusion measurement techniques with exogenous or endogenous tracers. The clinical application of perfusion measurements in neuro-oncological imaging is discussed in view of the pathophysiological background. The practical use of perfusion imaging in differential diagnosis and tumor grading is presented with regard to the prognostic value of the method. Applications in biopsy targeting and therapy planning are also discussed. In the last section of this chapter, advantages and limitations of perfusion imaging in the follow-up of brain tumors are summarized.
Abbreviations
DSC\ |
Dynamic susceptibility contrast |
DCE\ |
Dynamic contrast enhanced |
CBF\ |
Cerebral blood flow [mL/100 mL/min] |
CBV\ |
Cerebral blood volume [mL/100 mL] |
MTT\ |
Mean transit time |
TTP\ |
Time to peak |
AIF\ |
Arterial input function |
Ktrans\ |
Transfer coefficient |
C. Preibisch • V. Tóth • C. Zimmer (*)
Department of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Munich, Germany
e-mail: claus.zimmer@tum.de
E. Hattingen, U. Pilatus (eds.), Brain Tumor Imaging, Medical Radiology. Diagnostic Imaging,
DOI: 10.1007/174_2016_954, © Springer-Verlag Berlin Heidelberg 2016
1\ Key Points
•Tumor vessels are tortuous, wide, highly dense, and per- meable—resulting in perfusion anomalies.
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