MR Imaging and Spectroscopy of Central Nervous System Infection

Front Cover
Rakesh K. Gupta, Robert B. Lufkin
Springer Science & Business Media, Jul 31, 2001 - Medical - 354 pages
Central nervous system (CNS) infections continue to pose a serious problem in health care even with improved knowledge and treatment. Despite the introduction of newer antimicrobial agents and diagnostic techniques, the morbidity and mortality associated with CNS infections remain high. The morbidity associated with CNS infections may be even more important than the death rate especially in developing countries as neurological sequelae may deprive the survivors of intellect and physical ability, demeaning the quality of life and burdening health resources and social services. MR imaging is an important integral part of the protocol for the management of CNS infections and MR spectroscopy is increasingly being utilized in its management. This work is an attempt to provide a comprehensive review of imaging and spectroscopy of the commonly encountered CNS infections in the clinical practice in developing and developed countries. The first chapter deals with basic physical principles of MR imaging and spectroscopy that will help beginners to understand the technical terms used in subsequent chapters. The remaining 10 chapters deal with clinical, pathological, MR imaging and spectroscopy features and their applications in CNS infections. This will help in giving a comprehensive understanding to readers with a background in clinical, radiological, basic MRI, and neurological sciences. The T2 hypointense lesions are a real diagnostic dilemma especially in developing countries for which an algorithm has been suggested in the concluding chapter.
 

Contents

MAGNETIC RESONANCE IMAGING AND SPECTROSCOPIC
1
PYOGENIC INFECTIONS
57
TUBERCULOSIS AND OTHER NONTUBERCULOUS
96
VIRAL INFECTIONS
147
FUNGAL INFECTIONS
177
PARASITIC INFECTIONS
205
AIDS AND ITS RELATED INFECTIONS
241
CONGENITAL INFECTIONS
259
IMAGING OF POSTOPERATIVE INFECTIONS
297
DIAGNOSTIC ALGORITHM FOR A T2 HYPOINTENSE
313
Index
343
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