2015
DOI: 10.1016/j.acra.2014.07.022
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Time Course of Contrast Enhancement by Micro-CT with Dedicated Contrast Agents in Normal Mice and Mice with Hepatocellular Carcinoma

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Cited by 30 publications
(28 citation statements)
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“…). In accord to our results, Rothe et al reported that ExiTron nano 12 000 yielded the strongest CE in the blood pool compared to eXIA 160 and ExiTron nano 6000 . The CAs eXIA 160, eXIA 160XL, Fenestra VC and LC showed a CE just shortly after injection.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…). In accord to our results, Rothe et al reported that ExiTron nano 12 000 yielded the strongest CE in the blood pool compared to eXIA 160 and ExiTron nano 6000 . The CAs eXIA 160, eXIA 160XL, Fenestra VC and LC showed a CE just shortly after injection.…”
Section: Discussionsupporting
confidence: 92%
“…The relative expression was normalized to the housekeeping gene Aldolase and the control group (n = 2). pool compared to eXIA 160 and ExiTron nano 6000 (30). The CAs eXIA 160, eXIA 160XL, Fenestra VC and LC showed a CE just shortly after injection.…”
Section: Discussionmentioning
confidence: 90%
“…The blood half‐life in C57BL/6 mice is ~4 hours with complete clearance from the blood in about 24 hours. Clearance is mainly a result of uptake by Kuppfer cells in the liver (supplier information). Previous applications have mostly been angiography and liver imaging …”
Section: Methodsmentioning
confidence: 99%
“…Measurements of tumor vascular density in early-phase imaging and total contrast accumulation in late-phase imaging have also been used in two mouse models of lung cancer to differentiate different aggressiveness levels in tumors (Badea et al 2012). Iodine-containing nanoparticle contrast agents have also been used for tumor imaging in two other models of lung cancer (Kindlmann et al 2005, Anayama et al 2013) and a mouse model of liver cancer (Rothe et al 2015). Gold nanoparticles have also been used for passive tumor targeting in mouse models of breast and brain cancer (Hainfeld et al 2006(Hainfeld et al , 2013.…”
Section: Cancer Imagingmentioning
confidence: 99%