Search: (WFRF:(Sundin Anders)) pers:(Magnusson Anders)
> (1992-1994) >
Computed tomography...
Computed tomography of experimental liver metastases using an iodinated hepatocyte-specific lipid emulsion : a correlative study in the nude rat
-
- Sundín, Anders (author)
- Uppsala universitet,Enheten för radiologi
-
- Ahlström, Håkan (author)
- Uppsala universitet,Enheten för radiologi
-
- Graf, Wilhelm (author)
- Uppsala universitet,Kolorektalkirurgi
-
show more...
-
- Magnusson, Anders (author)
- Uppsala universitet,Enheten för radiologi
-
show less...
-
(creator_code:org_t)
- 1994
- 1994
- English.
-
In: Investigative Radiology. - 0020-9996 .- 1536-0210. ; 29:11, s. 963-969
- Related links:
-
https://urn.kb.se/re...
Abstract
Subject headings
Close
- RATIONALE AND OBJECTIVES: A hepatocyte-specific iodinated lipid emulsion, NRI 757, was used for detection of experimental hepatic metastases. MATERIALS AND METHODS: The study was performed in a correlative model of multiple hepatic metastases from a human colonic cancer implanted in the nude rat. RESULTS: After intravenous injection, normal liver parenchyma remained enhanced for several hours, whereas the uptake in hepatic metastases was negligible. A liver-to-lesion contrast of 45 Hounsfield units (HU) was obtained at a dose of 1 mL NRI 757/kg body weight (BW). In a lesion-by-lesion analysis of 177 metastases ranging in size from 1 to 32 mm, the mean +/- standard deviation overall detection rate for native scanning and contrast-enhanced scanning in vivo and post mortem, 20 +/- 0.4%, 53 +/- 5.2%, and 55 +/- 4.0%, respectively and 28%, 84%, and 82%, retrospectively. When metastatic size also was considered, for native scanning the maximum detection rate of 61% was reached for 8- to 10-mm lesions, whereas for contrast-enhanced computed tomography scanning, 100% of the 5- to 7-mm lesions and 42% of the 1- to 2-mm nodules were detected. CONCLUSION: The use of NRI 757 improved the diagnostic yield considerably.
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database