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Experimental condition and registration method for the tumor detection of lung metastasis small animal PET and CT whole body images

  • Sang Keun Woo
  • , Kyung Min Kim
  • , Taesup Lee
  • , June Yeop Kim
  • , Jae Ho Jung
  • , Kwang Sun Woo
  • , Wee Sup Jung
  • , Joo Hyun Kang
  • , Gi Jeong Cheon
  • , Chang Woon Choi
  • , Sang Moo Lim
  • Korea Institute of Radiological and Medical Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Small animal PET scanning with 18F-FDG is increasingly used in murine tumor model. Experimental condition of animal handling impacts on the biodistribution of 18F-FDG in mouse study. The aim of this study was to optimize experimental conditions of animal handling and registration method for imaging lung metastasis tumor by using 18F-FDG small animal PET and CT. The experimental conditions for 18F-FDG biodistribution and animal PET imaging were 20 ± 2 h fasting and warming kept at 30°C. Biodistribution, standard uptake value (SUV) image and glucose SUV (SUV G) of 18F-FDG were evaluated and blood glucose level was also measured. Female C57BL/6 mice were injected intravenously with 2 × 105 of B16-F10 melanoma cells which developed metastasis rumors in lung. In lung metastasis tumor model, 18F-FDG images was obtained in optimized anesthesia condition and registered with anatomical clinical CT image. The small animal PET and CT images were registered using the hardware fiducial markers and small animal contour point in both data sets to perform a point-based rigid registration. Isoflurane 0.5 condition was chosen for lung metastasis tumor imaging. Lung metastasis tumor was clearly visualized by 18F-FDG PET image with Iso 0.5 anesthesia. Tumor imaging in lung region with 18F-FDG small animal PET should be considered feeding, temperature, and especially choice and level of anesthetic for minimizing background radioactivity. Fused imaging with small animal PET and CT image could be useful for the detection of metastatic tumor. This method improves the quantitative accuracy and interpretation of the tracer.

Original languageEnglish
Title of host publication2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC
Pages3372-3375
Number of pages4
DOIs
StatePublished - 2007
Event2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC - Honolulu, HI, United States
Duration: 27 Oct 20073 Nov 2007

Publication series

NameIEEE Nuclear Science Symposium Conference Record
Volume5
ISSN (Print)1095-7863

Conference

Conference2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC
Country/TerritoryUnited States
CityHonolulu, HI
Period27/10/073/11/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

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