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Article Open Access

Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution

  • Authors:
    • Shuangyi Li
    • Wenjiao Gu
    • Ying Jiang
    • Ting Liu
    • Limei Shuai
    • Yujie Wei
    • Youming Shi
    • Havyarimana Juvenal
    • Zhimin Wang
    • Yucai Wei
    • Bofan Wu
    • Xiaochun Zhou
    • Yumin Li
    • Futian Tang
  • View Affiliations / Copyright

    Affiliations: Department of Cardiovascular Disease, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, P.R. China, Gansu Province Key Laboratory of Environmental Oncology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, P.R. China, Department of PET/CT Center, Gansu Provincial People's Hospital, Lanzhou, Gansu 730030, P.R. China, Wuhan United Imaging Life Science Instrument Co., Ltd., Wuhan, Hubei 430206, P.R. China
    Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 71
    |
    Published online on: February 12, 2026
       https://doi.org/10.3892/or.2026.9076
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Abstract

Glioblastoma (GBM) is the most prevalent type of malignant primary brain tumor. Preclinical research serves a key role in investigating the development and mechanism of GBM tumor. However, the dynamic and non‑invasive evaluation of tumors in animals faces challenges, such as the limited sensitivity of clinical instruments and insufficient spatial resolution for mouse brain tumors. The present study aimed to establish an in vivo mouse GBM model and evaluate the model using high resolution small animal positron emission tomography‑computed tomography (PET‑CT) and magnetic resonance imaging (MRI). Metabolism was compared between the normal brain and tumor tissue by using 1H‑magnetic resonance spectroscopy (1H‑MRS). T2‑weighted imaging (T2WI) MRI detected the tumor in the brain 7 days after injection of GL261 cells, with tumor sizes of 1.263, 4.917 and 13.85 mm3 on days 7, 14 and 21, respectively. 1H‑MRS demonstrated that the levels of tissue metabolites such as lactate and total choline increased, while those representing neurological function of the brain such as total N‑acetylaspartate decreased in tumor compared with the normal brain tissues. PET‑CT imaging confirmed the tumor detected by MRI. At 6‑120 min post 18F‑fluorodeoxyglucose (FDG) administration, the standard uptake value (SUV) in tumor tissue gradually increased, while the SUV value in normal brain tissue gradually decreased. SUV in the liver and kidneys decreased, while SUV in the bladder increased in a time‑dependent manner. Pharmacokinetic analysis showed that the distribution of FDG in brain and tumor tissue conformed to a two‑tissue compartment model. This model consists of a plasma compartment and two tissue compartments representing free FDG and phosphorylated FDG within brain or tumor tissue. The model parameters are defined as follows: Fractional blood volume (vB)=3.6%, k1 (forward transport rate)=1.844, k2 (reverse transport rate)=3.844 and k3 (phosphorylation rate)=0.280 in brain and vB=2.3%, k1=0.797, k2=2.722 and k3=0.319 in tumor tissue, respectively. The tumors observed by MRI and PET‑CT imaging were ultimately confirmed through morphological and pathological analysis. Compared with normal brain tissue, glioma tissue exhibited significantly elevated glucose transporter type 1 protein levels. In conclusion, the model was confirmed by high‑resolution small animal PET‑CT and MRI, as well as morphological and pathological approaches.

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Copy and paste a formatted citation
Spandidos Publications style
Li S, Gu W, Jiang Y, Liu T, Shuai L, Wei Y, Shi Y, Juvenal H, Wang Z, Wei Y, Wei Y, et al: <p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>. Oncol Rep 55: 71, 2026.
APA
Li, S., Gu, W., Jiang, Y., Liu, T., Shuai, L., Wei, Y. ... Tang, F. (2026). <p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>. Oncology Reports, 55, 71. https://doi.org/10.3892/or.2026.9076
MLA
Li, S., Gu, W., Jiang, Y., Liu, T., Shuai, L., Wei, Y., Shi, Y., Juvenal, H., Wang, Z., Wei, Y., Wu, B., Zhou, X., Li, Y., Tang, F."<p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>". Oncology Reports 55.4 (2026): 71.
Chicago
Li, S., Gu, W., Jiang, Y., Liu, T., Shuai, L., Wei, Y., Shi, Y., Juvenal, H., Wang, Z., Wei, Y., Wu, B., Zhou, X., Li, Y., Tang, F."<p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>". Oncology Reports 55, no. 4 (2026): 71. https://doi.org/10.3892/or.2026.9076
Copy and paste a formatted citation
x
Spandidos Publications style
Li S, Gu W, Jiang Y, Liu T, Shuai L, Wei Y, Shi Y, Juvenal H, Wang Z, Wei Y, Wei Y, et al: <p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>. Oncol Rep 55: 71, 2026.
APA
Li, S., Gu, W., Jiang, Y., Liu, T., Shuai, L., Wei, Y. ... Tang, F. (2026). <p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>. Oncology Reports, 55, 71. https://doi.org/10.3892/or.2026.9076
MLA
Li, S., Gu, W., Jiang, Y., Liu, T., Shuai, L., Wei, Y., Shi, Y., Juvenal, H., Wang, Z., Wei, Y., Wu, B., Zhou, X., Li, Y., Tang, F."<p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>". Oncology Reports 55.4 (2026): 71.
Chicago
Li, S., Gu, W., Jiang, Y., Liu, T., Shuai, L., Wei, Y., Shi, Y., Juvenal, H., Wang, Z., Wei, Y., Wu, B., Zhou, X., Li, Y., Tang, F."<p>Tumor visualization and evaluation of glioblastoma in mice using small animal 9.4T MRI and PET‑CT with high resolution</p>". Oncology Reports 55, no. 4 (2026): 71. https://doi.org/10.3892/or.2026.9076
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