Document Detail


The MRI appearance of cavernous malformations (angiomas).
MedLine Citation:
PMID:  3655889     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The angiographic, computerized tomography (CT), and magnetic resonance imaging (MRI) findings were compared in 10 patients with a total of 16 pathologically verified cavernous angiomas. Only three lesions had abnormal vasculature in the form of venous pooling or a capillary blush. The CT scans were positive in seven patients and detected 14 lesions, while high-field strength (1.5 Tesla) MRI was positive in each case and demonstrated 27 distinct lesions. On T2-weighted MRI, the combination of a reticulated core of mixed signal intensity (SI) with a surrounding rim of decreased SI strongly suggests the diagnosis of a cavernous malformation. Smaller lesions appear as areas of decreased SI (black dots). The sensitivity of MRI is based on magnetic susceptibility and possibly diffusion effects related to field heterogeneity that is more conspicuous on high-field imaging and caused by the presence of excessive iron (hemosiderin).
Authors:
D Rigamonti; B P Drayer; P C Johnson; M N Hadley; J Zabramski; R F Spetzler
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of neurosurgery     Volume:  67     ISSN:  0022-3085     ISO Abbreviation:  J. Neurosurg.     Publication Date:  1987 Oct 
Date Detail:
Created Date:  1987-10-29     Completed Date:  1987-10-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0253357     Medline TA:  J Neurosurg     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  518-24     Citation Subset:  AIM; IM    
Affiliation:
Division of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona.
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Brain Neoplasms / diagnosis*,  pathology
Cerebral Angiography
Child
Female
Hemangioma, Cavernous / diagnosis*,  pathology
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Tomography, X-Ray Computed

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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