Literature DB >> 24331468

A study of the metabolism of transplanted tumor in the lung by micro PET/CT in mice.

Huiting Qiao1, Jun Li2, Yingmao Chen3, Daifa Wang1, Jintao Han4, Mengqi Mei1, Deyu Li5.   

Abstract

The difference of tumor metabolism from that of normal tissue is an important factor for diagnosis through functional imaging such as positron emission tomography (PET). A quantitative description of the metabolic process will help to improve the diagnosis methods. In this study, the metabolism of tumor in lung was quantitatively described in mice. The melanoma was transplanted into the lung of mice, and the metabolism of the transplanted tumor was detected by micro PET/CT with [(18)F]fluoro-2-deoxy-D-glucose (FDG). Nine mice were transplanted with B16 melanoma cells through their tail vein. Lung tumor was detected by pathological method. The lesions smaller than 1mm could hardly be directly detected directly by micro PET/CT, while the tumor with a 1-4mm diameter could be detected by micro PET/CT. A metabolic model with three compartments was separately established for lung tumors and normal lung tissues. In this model, the lung cancer had a significantly higher metabolic rate constant as compared to that of the normal lung tissue (p=0.01). The outputs of the model fit well with the original curve from the dynamic images. It is also found that difference of tissue activity between tumors and normal lung tissues varied along scan time. Through this comparison, it was suggested that the difference in metabolism between the lung tissue and the tumor might contribute to the tumor diagnosis.
Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dynamic scan; Metabolic model; Micro PET/CT; Tumor

Mesh:

Year:  2013        PMID: 24331468     DOI: 10.1016/j.medengphy.2013.11.012

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  2 in total

1.  Near-simultaneous quantification of glucose uptake, mitochondrial membrane potential, and vascular parameters in murine flank tumors using quantitative diffuse reflectance and fluorescence spectroscopy.

Authors:  Caigang Zhu; Hannah L Martin; Brian T Crouch; Amy F Martinez; Martin Li; Gregory M Palmer; Mark W Dewhirst; Nimmi Ramanujam
Journal:  Biomed Opt Express       Date:  2018-06-27       Impact factor: 3.732

2.  High-resolution dynamic imaging and quantitative analysis of lung cancer xenografts in nude mice using clinical PET/CT.

Authors:  Ying Yi Wang; Kai Wang; Zuo Yu Xu; Yan Song; Chu Nan Wang; Chong Qing Zhang; Xi Lin Sun; Bao Zhong Shen
Journal:  Oncotarget       Date:  2017-04-20
  2 in total

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