| Improved CT fat detection in small kidney angiomyolipomas using thin sections and single voxel measurements. | |
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MedLine Citation:
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PMID: 8370829 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE AND METHODS: Seven echogenic renal masses < 1.0 cm in size were studied by CT to make the diagnosis of angiomyolipoma by identifying the presence of fat. RESULTS: In four of six lesions, initial 5 mm section CT failed to detect fat, although repeat 3 and/or 1.5 mm section CT was successful in demonstrating fat. In one patient who underwent 3 and 1.5 mm section CT, attenuation values of four voxels were low enough to indicate the presence of fat only on the 1.5 mm sections. CONCLUSION: Measuring single voxel values in the hypoattenuating areas on nonenhanced thin (3 or 1.5 mm) sections is essential for CT diagnosis of small (< 1.0 cm) renal angiomyolipomas. |
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Authors:
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Y Kurosaki; Y Tanaka; K Kuramoto; Y Itai |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of computer assisted tomography Volume: 17 ISSN: 0363-8715 ISO Abbreviation: J Comput Assist Tomogr Publication Date: 1993 Sep-Oct |
Date Detail:
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Created Date: 1993-10-12 Completed Date: 1993-10-12 Revised Date: 2004-11-17 |
Medline Journal Info:
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Nlm Unique ID: 7703942 Medline TA: J Comput Assist Tomogr Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 745-8 Citation Subset: IM |
Affiliation:
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Department of Radiology, University of Tsukuba, Ibaraki-ken, Japan. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adipose Tissue
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radiography* Adolescent Adult Aged Female Hemangioma / radiography* Humans Kidney Neoplasms / radiography* Lipoma / radiography* Male Middle Aged Tomography, X-Ray Computed* / methods |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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