19789243

Source:http://linkedlifedata.com/resource/pubmed/id/19789243

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0024623, umls-concept:C0027627, umls-concept:C0030705, umls-concept:C0442034, umls-concept:C0543467, umls-concept:C1511790, umls-concept:C1552846
pubmed:issue	2
pubmed:dateCreated	2009-10-29
pubmed:abstractText	To retrospectively measure the diagnostic performance of prospective computed tomographic (CT) results obtained by using 16- or 64-detector row scanners in the detection of peritoneal metastases (PMs) in patients with advanced gastric cancer.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0401260
pubmed:citationSubset	AIM
pubmed:status	MEDLINE
pubmed:month	Nov
pubmed:issn	1527-1315
pubmed:author	pubmed-author:HwangSun HwiSH, pubmed-author:KimHyung-HoHH, pubmed-author:KimSo YeonSY, pubmed-author:KimSu JinSJ, pubmed-author:KimYoung HoonYH, pubmed-author:LeeHye SeungHS, pubmed-author:LeeKyoung HoKH, pubmed-author:ParkDo Joongdo J
pubmed:copyrightInfo	(c) RSNA, 2009.
pubmed:issnType	Electronic
pubmed:volume	253
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	407-15
pubmed:meshHeading	pubmed-meshheading:19789243-Adult, pubmed-meshheading:19789243-Aged, pubmed-meshheading:19789243-Aged, 80 and over, pubmed-meshheading:19789243-Female, pubmed-meshheading:19789243-Humans, pubmed-meshheading:19789243-Male, pubmed-meshheading:19789243-Middle Aged, pubmed-meshheading:19789243-Peritoneal Neoplasms, pubmed-meshheading:19789243-Sensitivity and Specificity, pubmed-meshheading:19789243-Stomach Neoplasms, pubmed-meshheading:19789243-Tomography, X-Ray Computed
pubmed:year	2009
pubmed:articleTitle	Peritoneal metastasis: detection with 16- or 64-detector row CT in patients undergoing surgery for gastric cancer.
pubmed:affiliation	Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 300 Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do 463-707, Korea.
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't