16770564

Source:http://linkedlifedata.com/resource/pubmed/id/16770564

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0011900, umls-concept:C0040395, umls-concept:C0333186, umls-concept:C2699488
pubmed:issue	3
pubmed:dateCreated	2006-6-13
pubmed:language	ger
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/7801231
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	May
pubmed:issn	0340-9937
pubmed:author	pubmed-author:BarkhausenJörgJ, pubmed-author:ErbelRaimundR, pubmed-author:SchlosserThomasT, pubmed-author:SchmermundAxelA, pubmed-author:UlzheimerStefanS, pubmed-author:VoigtländerThomasT
pubmed:issnType	Print
pubmed:volume	31
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	269
pubmed:meshHeading	pubmed-meshheading:16770564-Equipment Design, pubmed-meshheading:16770564-Equipment Failure Analysis, pubmed-meshheading:16770564-Graft Occlusion, Vascular, pubmed-meshheading:16770564-Humans, pubmed-meshheading:16770564-Phantoms, Imaging, pubmed-meshheading:16770564-Radiographic Image Enhancement, pubmed-meshheading:16770564-Reproducibility of Results, pubmed-meshheading:16770564-Sensitivity and Specificity, pubmed-meshheading:16770564-Stents, pubmed-meshheading:16770564-Tomography, X-Ray Computed
pubmed:year	2006
pubmed:articleTitle	[Diagnosis of in-stent restenosis using ultrahigh resolution multi-transducer computer tomography].
pubmed:affiliation	Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen, Essen, Germany. thomas.schlosser@uni-essen.de
pubmed:publicationType	Journal Article, Evaluation Studies