|
rdf:type |
|
|
lifeskim:mentions |
umls-concept:C0015252,
umls-concept:C0027651,
umls-concept:C0035647,
umls-concept:C0175659,
umls-concept:C0205210,
umls-concept:C0205494,
umls-concept:C0222045,
umls-concept:C0349674,
umls-concept:C0439792,
umls-concept:C0543467,
umls-concept:C0683712,
umls-concept:C0728940,
umls-concept:C1274040,
umls-concept:C1335976,
umls-concept:C1552081,
umls-concept:C1706852
|
|
pubmed:issue |
5
|
|
pubmed:dateCreated |
2009-11-2
|
|
pubmed:abstractText |
Surgery for skull base meningiomas (SBMs) can lead to complications because these lesions are difficult to approach and can involve cranial nerves and arteries. The authors propose a scoring system to evaluate the relative risks and benefits of surgical treatment of SBMs.
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|
pubmed:language |
eng
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|
pubmed:journal |
|
|
pubmed:citationSubset |
AIM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Nov
|
|
pubmed:issn |
1933-0693
|
|
pubmed:author |
|
|
pubmed:issnType |
Electronic
|
|
pubmed:volume |
111
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
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pubmed:pagination |
1053-61
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pubmed:meshHeading |
pubmed-meshheading:19119879-Brain Stem,
pubmed-meshheading:19119879-Cerebral Arteries,
pubmed-meshheading:19119879-Cranial Nerves,
pubmed-meshheading:19119879-Humans,
pubmed-meshheading:19119879-Magnetic Resonance Imaging,
pubmed-meshheading:19119879-Meningioma,
pubmed-meshheading:19119879-Nervous System Diseases,
pubmed-meshheading:19119879-Neurosurgical Procedures,
pubmed-meshheading:19119879-Postoperative Complications,
pubmed-meshheading:19119879-Reproducibility of Results,
pubmed-meshheading:19119879-Risk Assessment,
pubmed-meshheading:19119879-Skull Base Neoplasms,
pubmed-meshheading:19119879-Tomography, X-Ray Computed,
pubmed-meshheading:19119879-Treatment Outcome
|
|
pubmed:year |
2009
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|
pubmed:articleTitle |
ABC Surgical Risk Scale for skull base meningioma: a new scoring system for predicting the extent of tumor removal and neurological outcome. Clinical article.
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|
pubmed:affiliation |
Department of Neurosurgery, School of Medicine, Keio University, Tokyo, Japan. kazu-adachi@rio.odn.ne.jp
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pubmed:publicationType |
Journal Article
|
