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Anesthesia condition for 18F-FDG imaging of lung metastasis tumors using small animal PET

Authors :
Chang Woon Choi
Jae Ho Jung
Gi Jeong Cheon
Joo Hyun Kang
Sang Moo Lim
Sang-Keun Woo
Kyeong Min Kim
Tae Sup Lee
June-Youp Kim
Source :
Nuclear Medicine and Biology. 35:143-150
Publication Year :
2008
Publisher :
Elsevier BV, 2008.

Abstract

Small animal positron emission tomography (PET) with 18 F-FDG has been increasingly used for tumor imaging in the murine model. The aim of this study was to establish the anesthesia condition for imaging of lung metastasis tumor using small animal 18 F-FDG PET. Methods To determine the impact of anesthesia on 18 F-FDG distribution in normal mice, five groups were studied under the following conditions: no anesthesia, ketamine and xylazine (Ke/Xy), 0.5% isoflurane (Iso 0.5), 1% isoflurane (Iso 1) and 2% isoflurane (Iso 2). The ex vivo counting, standard uptake value (SUV) image and glucose SUV of 18 F-FDG in various tissues were evaluated. The 18 F-FDG images in the lung metastasis tumor model were obtained under no anesthesia, Ke/Xy and Iso 0.5, and registered with CT image to clarify the tumor region. Results Blood glucose concentration and muscle uptake of 18 F-FDG in the Ke/Xy group markedly increased more than in the other groups. The Iso 2 group increased 18 F-FDG uptake in heart compared with the other groups. The Iso 0.5 anesthesized group showed the lowest 18 F-FDG uptake in heart and chest wall. The small size of lung metastasis tumor (2 mm) was clearly visualized by 18 F-FDG image with the Iso 0.5 anesthesia. Conclusion Small animal 18 F-FDG PET imaging with Iso 0.5 anesthesia was appropriate for the detection of lung metastasis tumor. To acquire 18 F-FDG PET images with small animal PET, the type and level of anesthetic should be carefully considered to be suitable for the visualization of target tissue in the experimental model.

Details

ISSN :
09698051
Volume :
35
Database :
OpenAIRE
Journal :
Nuclear Medicine and Biology
Accession number :
edsair.doi.dedup.....179ba47b0d5e9dd455c9c0436e84788b