Linked Life Data

16304794

Source:http://linkedlifedata.com/resource/pubmed/id/16304794

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2005-11-24
pubmed:abstractText
Magnetic resonance imaging (MRI) is the best imaging modality for evaluating most spinal tumors. In this review, we describe the MRI appearance of extradural, intradural-extramedullary, and intradural-intramedullary tumors as well as the image interpretation techniques that permit identification of the compartment in which a lesion is located. In addition, we review the literature and our experience in using an anatomic classification system to narrow the differential diagnosis for patients with spine tumors. This method permits successful identification of a narrow differential diagnosis, which can be used to guide additional evaluation and treatment.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1078-4519
pubmed:author
pubmed:issnType
Print
pubmed:volume
34
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
472-6
pubmed:dateRevised
2010-1-5
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Use of magnetic resonance imaging in differentiating compartmental location of spinal tumors.
pubmed:affiliation
Department of Orthopaedic Surgery, Johns Hopkins Bayview Medical Center, 4940 Eastern Ave, Room A672, Baltimore, MD 21224-2780, USA. ehenze1@jhmi.edu
pubmed:publicationType
Journal Article, Review