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Identification, Histological Characterization, and Dissection of Mouse Prostate Lobes for In Vitro 3D Spheroid Culture Models
Published on: September 18, 2018
Visualizing the prostate gland by MR imaging in young and old mice
Murali Ravoori1, Jyoti Duggal, Mihai Gagea
1Department of Experimental Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Plos One
|March 8, 2013
Summary
The T2-based Dixon "water only" MRI sequence best visualizes the mouse prostate across different ages and field strengths. Prostate size and signal intensity decrease with age, correlating with hyperplasia.
Area of Science:
- Biomedical Imaging
- Mouse Models
- Prostate Research
Background:
- Optimizing prostate imaging in mouse models is crucial for research.
- Understanding age-related changes in the prostate is essential for disease modeling.
Purpose of the Study:
- To determine the optimal MRI sequences and field strengths for mouse prostate imaging.
- To investigate age-related changes in mouse prostate MR signal, size, and architecture.
Main Methods:
- MRI of young and old mice was performed at 4.7 T and 7 T using various sequences.
- Image analysis focused on visualization, delineation, and fat suppression quality.
- Prostate volume, signal characteristics, and histological changes were compared between age groups.
Main Results:
- T2-based Dixon "water only" sequences provided superior prostate visualization and fat suppression at both 4.7 T and 7 T.
- Higher contrast-to-noise ratio (CNR) and lower signal-to-noise ratio (SNR) of fat were observed at 7 T compared to 4.7 T.
- Older mice exhibited smaller prostate volumes and reduced signal intensity, correlating with histological evidence of glandular hyperplasia.
Conclusions:
- T2-based Dixon "water only" MRI is the optimal sequence for mouse prostate imaging.
- Mouse prostate size and signal intensity decrease with age, linked to glandular hyperplasia.
- Age is a critical factor in selecting mouse models for prostate studies.

