Linked Life Data

16498093

Source:http://linkedlifedata.com/resource/pubmed/id/16498093

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-2-24
pubmed:abstractText
The objective of our study was to determine the CT features of complex cystic renal masses that are the most predictive of malignancy and to assess interobserver variability when interpreting these features.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0361-803X
pubmed:author
pubmed:issnType
Print
pubmed:volume
186
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
665-72
pubmed:dateRevised
2008-2-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Enhancing component on CT to predict malignancy in cystic renal masses and interobserver agreement of different CT features.
pubmed:affiliation
Present address: Department of Medical Imaging, Rabin Medical Center, Beilinson Campus, Sackler School of Medicine, University of Tel-Aviv, Jabutinsky St., Petach Tikva, Israel, 49100.
pubmed:publicationType
Journal Article