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Proceedings Paper

Detecting metastasis of gastric carcinoma using high-resolution micro-CT system: in vivo small animal study
Author(s): Junting Liu; Jie Tian; Jimin Liang; Xiangsi Li; Xiang Yang; Xiaofeng Chen; Yi Chen; Yuanfang Zhou; Xiaorui Wang
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Paper Abstract

Immunocytochemical and immunofluorescence staining are used for identifying the characteristics of metastasis in traditional ways. Micro-computed tomography (micro-CT) is a useful tool for monitoring and longitudinal imaging of tumor in small animal in vivo. In present study, we evaluated the feasibility of the detection for metastasis of gastric carcinoma by high-resolution micro-CT system with omnipaque accumulative enhancement method in the organs. Firstly, a high-resolution micro-CT ZKKS-MCT-sharp micro-CT was developed by our research group and Guangzhou Zhongke Kaisheng Medical Technology Co., Ltd. Secondly, several gastric carcinoma models were established through inoculating 2x106 BGC-823 gastric carcinoma cells subcutaneously. Thirdly, micro-CT scanning was performed after accumulative enhancement method of intraperitoneal injection of omnipaque contrast agent containing 360 mg iodine with a concentration of 350 mg I/ml. Finally, we obtained high-resolution anatomical information of the metastasis in vivo in a BALB/c NuNu nude mouse, the 3D tumor architecture is revealed in exquisite detail at about 35 μm spatial resolution. In addition, the accurate shape and volume of the micrometastasis as small as 0.78 mm3 can be calculated with our software. Overall, our data suggest that this imaging approach and system could be used to enhance the understanding of tumor proliferation, metastasis and could be the basis for evaluating anti-tumor therapies.

Paper Details

Date Published: 9 March 2011
PDF: 6 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79650L (9 March 2011); doi: 10.1117/12.878410
Show Author Affiliations
Junting Liu, Xidian Univ. (China)
Jie Tian, Xidian Univ. (China)
Institute of Automation (China)
Jimin Liang, Xidian Univ. (China)
Xiangsi Li, Xidian Univ. (China)
Xiang Yang, Guangzhou Zhongke Kaisheng Medical Technology Co., Ltd. (China)
Xiaofeng Chen, Guangzhou Zhongke Kaisheng Medical Technology Co., Ltd. (China)
Yi Chen, Shanghai Institute of Materia Medica (China)
Yuanfang Zhou, Shanghai Institute of Materia Medica (China)
Xiaorui Wang, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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