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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
6
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pubmed:dateCreated |
2010-5-13
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pubmed:abstractText |
(18)F-fluorodeoxyglucose (FDG) PET is the most accurate imaging modality in characterizing a solitary pulmonary nodule (SPN). Besides visual image interpretation, semiquantitative analysis using standardized uptake values (SUV) is performed to improve diagnostic accuracy. Mostly, an SUV threshold of 2.5 is applied to differentiate between benign and malignant lesions. In this study we analysed the use different SUV thresholds to predict the post-test probability of malignancy for the individual patient considering his pre-test probability. Furthermore, we investigated the prognostic value of SUV in SPN for survival.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
|
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1619-7089
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
37
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1087-94
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pubmed:meshHeading |
pubmed-meshheading:20140611-Adult,
pubmed-meshheading:20140611-Aged,
pubmed-meshheading:20140611-Aged, 80 and over,
pubmed-meshheading:20140611-Biological Transport,
pubmed-meshheading:20140611-Cell Differentiation,
pubmed-meshheading:20140611-Female,
pubmed-meshheading:20140611-Fluorodeoxyglucose F18,
pubmed-meshheading:20140611-Humans,
pubmed-meshheading:20140611-Male,
pubmed-meshheading:20140611-Middle Aged,
pubmed-meshheading:20140611-Positron-Emission Tomography,
pubmed-meshheading:20140611-Probability,
pubmed-meshheading:20140611-Prognosis,
pubmed-meshheading:20140611-Retrospective Studies,
pubmed-meshheading:20140611-Risk Assessment,
pubmed-meshheading:20140611-Solitary Pulmonary Nodule,
pubmed-meshheading:20140611-Survival Analysis,
pubmed-meshheading:20140611-Young Adult
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pubmed:year |
2010
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pubmed:articleTitle |
Risk stratification of solitary pulmonary nodules by means of PET using (18)F-fluorodeoxyglucose and SUV quantification.
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pubmed:affiliation |
Department of Nuclear Medicine, Saarland University Medical Center, Gebäude 50, 66421, Homburg/Saar, Germany. aleksandar.grgic@uks.eu
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pubmed:publicationType |
Journal Article
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