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

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 <i>in vivo</i> 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 <sup>1</sup>H‑magnetic resonance spectroscopy (<sup>1</sup>H‑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 mm<sup>3</sup> on days 7, 14 and 21, respectively. <sup>1</sup>H‑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 <sup>18</sup>F‑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.

Authors

Institutions

Publication Details

Journal
Oncology Reports
Published
2026-02-12
DOI
https://doi.org/10.3892/or.2026.9076
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ying Jiang, Yucai Wei, Havyarimana Juvenal, S. X. Li et al.
Oncology Reports
Advanced MRI Techniques and Applications
article

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

Ying Jiang, Yucai Wei, Havyarimana Juvenal, S. X. Li, Bofan Wu, Futian Tang, Youming Shi, Ting Liu, Yujie Wei, Yumin Li, Ling Shuai, Wenjiao Gu, Xiaochun Zhou, Zhimin Wang
article en

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 <i>in vivo</i> 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 <sup>1</sup>H‑magnetic resonance spectroscopy (<sup>1</sup>H‑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 mm<sup>3</sup> on days 7, 14 and 21, respectively. <sup>1</sup>H‑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 <sup>18</sup>F‑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.

Oncology ReportsVol. 55(4)
Wuhan Municipal Engineering Design & Research Institute (CN), Gansu Provincial Hospital (CN), Lanzhou University Second Hospital (CN), Lanzhou University (CN)
Fundamental Research Funds for the Central Universities
Good health and well-being
Openalex Percentile: Top 59%
Advanced MRI Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.