Neuroimaging clinics of North America
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Neuroimaging Clin. N. Am. · Feb 2004
ReviewThe brachial plexus: normal anatomy, pathology, and MR imaging.
The brachial plexus is the most technically and anatomically challenging area of the peripheral nervous system for diagnostic imaging. Marked improvements in spatial and contrast resolution of plexus images have resulted from the use of phased-array technology and newer MR pulse sequence designs. ⋯ Brachial plexus anatomy and its appearance on multiplanar MR images are reviewed. The morphologic features and MR signal characteristics that have been found useful in distinguishing between normal and abnormal plexus components,and in detecting neuropathic lesions, are addressed in the context of clinical indications for plexus imaging as follows: mass involving the plexus, traumatic injury, entrapment syndrome, posttreatment evaluation, and miscellaneous conditions.
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Neuroimaging Clin. N. Am. · Feb 2004
ReviewDiagnosis of carpal tunnel syndrome: electrodiagnostic and MR imaging evaluation.
In clinically classic carpal tunnel syndrome (CTS) without symptoms or signs to suggest other disorders that can mimic CTS, it remains somewhat controversial as to whether performing nerve conduction studies is necessary or cost-effective. MR imaging reliably depicts normal carpal tunnel anatomy. It can also identify pathologic nerve compression and mass lesions, such as ganglion cysts, that compress nerves. ⋯ MR diffusion-weighted imaging of peripheral nerves might prove to be the most sensitive imaging sequence for the detection of early nerve dysfunction. Electrodiagnostic studies are likely to remain the pivotal diagnostic examination in patients with suspected CTS for the foreseeable future. With advances in both software and hardware, however, high-resolution MR imaging of peripheral nerves will become faster, cheaper, and likely more accurate, possibly paving the way for an expanded role in the diagnosis of this common syndrome.
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Neuroimaging Clin. N. Am. · Nov 2003
ReviewImaging the pathology of Alzheimer's disease: amyloid-imaging with positron emission tomography.
The steep rise in the incidence of Alzheimer's disease (AD) has further added to the considerable public health burden caused by aging of the United States population. Among the most characteristic pathologic hallmarks of AD are neuritic plaques and neurofibrillary tangles. The capability to use positron emission tomography and selective markers for amyloid protein deposition promises to substantially alter the way we diagnosis and manage patients who have AD.
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Neuroimaging Clin. N. Am. · Nov 2003
ReviewPositron emission tomography and single photon emission CT molecular imaging in schizophrenia.
We reviewed findings from PET and SPECT studies that have contributed to our understanding of the pathophysiology and treatment of schizophrenia. The most robust set of findings pertains to imaging of presynaptic dopaminergic function in the striatum. The results of these studies have been consistent in showing that schizophrenia, at least during episodes of illness exacerbation, is associated with increased activity of DA neurons; this increased presynaptic activity is associated with positive symptoms and good therapeutic response. ⋯ The results that have been produced by this field to date suggest that PET will significantly contribute to unraveling the biologic bases of psychiatric disorders and may contribute to their clinical management. Moreover, it is foreseeable that PET will become increasingly involved in the development of new psychiatric medications. Expanding the availability of PET and the current radiopharmaceutical portfolio will be critical for these predictions to become reality.
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Neuroimaging Clin. N. Am. · Nov 2003
ReviewPositron emission tomography imaging in depression: a neural systems perspective.
PET measures of regional glucose metabolism, although chemically nonspecific, are sensitive indices of brain function in the untreated state and following disparate treatments. The continued development of imaging and multivariate statistical strategies is expected to provide an important perspective toward the full characterization of the depression phenotype at the neural systems level. An additional goal is the development of routine, brain-based clinical algorithms that optimize diagnosis and treatment of individual depressed patients.