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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1990-7-19
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pubmed:abstractText |
To determine which quantitative methods of image analysis are most suitable for the differential diagnosis of benign and malignant hepatic lesions, the authors analyzed magnetic resonance images obtained at 0.6 T in 42 patients with proved hepatic cavernous hemangioma and 63 patients with various hepatic malignancies. The lesion-liver signal-intensity ratio for images obtained with a repetition time of 2,350 msec and echo time of 180 msec was most helpful in distinguishing hemangiomas from cancer (area under the receiving operator characteristic curve [ROC] = 0.99 +/- 0.005). All 38 lesions with lesion-liver signal-intensity ratios greater than 3.5 were hemangiomas, whereas all 57 hepatic tumors with a ratio less than 2.5 were malignant neoplasms. A specificity of 93% and sensitivity of 89% can be achieved with use of quantitative signal-intensity data only. The authors conclude that in conjunction with heavily T2-weighted pulse sequences, signal-intensity ratios are an important adjunct to morphologic analysis in the differential diagnosis of hepatic neoplasms.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
AIM
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
0033-8419
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
176
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
107-10
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:2162067-Adult,
pubmed-meshheading:2162067-Aged,
pubmed-meshheading:2162067-Aged, 80 and over,
pubmed-meshheading:2162067-Carcinoma, Hepatocellular,
pubmed-meshheading:2162067-Female,
pubmed-meshheading:2162067-Hemangioma, Cavernous,
pubmed-meshheading:2162067-Humans,
pubmed-meshheading:2162067-Liver Neoplasms,
pubmed-meshheading:2162067-Magnetic Resonance Imaging,
pubmed-meshheading:2162067-Male,
pubmed-meshheading:2162067-Middle Aged
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pubmed:year |
1990
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pubmed:articleTitle |
Hepatic tumors: quantitative tissue characterization with MR imaging.
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pubmed:affiliation |
Department of Radiology, Massachusetts General Hospital, Boston 02114.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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