Source:http://linkedlifedata.com/resource/pubmed/id/21135489
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2-3
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pubmed:dateCreated |
2010-12-7
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pubmed:abstractText |
Until recently clinical diagnosis of chronic renal allograft dysfunction could only be established invasively by renal biopsy. Given the risks of that procedure, a non-invasive, diagnostic test would be very advantageous. Novel ultrasound-based elasticity tools, using "Acoustic Radiation Force Impulse (ARFI)" technology are now available. Previously this technique has been utilised to quantify liver fibrosis. First results of these studies are promising. The purpose of our study was to investigate correlation between stiffness values obtained by ARFI-quantification and histological fibrosis score in renal transplants.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1875-8622
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pubmed:author |
pubmed-author:AmanoHH,
pubmed-author:BüttnerMM,
pubmed-author:ClevertD ADA,
pubmed-author:HeemannUU,
pubmed-author:KüchleCC,
pubmed-author:KleinB SBS,
pubmed-author:MatevossianEE,
pubmed-author:RömischMM,
pubmed-author:RegenbogenCC,
pubmed-author:SarkarOO,
pubmed-author:SchusterTT,
pubmed-author:StockK FKF,
pubmed-author:Vo CongM TMT
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pubmed:issnType |
Electronic
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pubmed:volume |
46
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
139-48
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pubmed:meshHeading |
pubmed-meshheading:21135489-Adult,
pubmed-meshheading:21135489-Aged,
pubmed-meshheading:21135489-Elasticity Imaging Techniques,
pubmed-meshheading:21135489-Female,
pubmed-meshheading:21135489-Humans,
pubmed-meshheading:21135489-Kidney Transplantation,
pubmed-meshheading:21135489-Liver Cirrhosis,
pubmed-meshheading:21135489-Male,
pubmed-meshheading:21135489-Middle Aged
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pubmed:year |
2010
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pubmed:articleTitle |
ARFI-based tissue elasticity quantification in comparison to histology for the diagnosis of renal transplant fibrosis.
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pubmed:affiliation |
Abteilung für Nephrologie, II. Medizinische Klinik, Klinikum rechts der Isar der TU Munich, Munich, Germany. Konrad.Stock@lrz.tum.de
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pubmed:publicationType |
Journal Article,
Comparative Study
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