Related Experiment Video
Updated: Jul 29, 2026

08:56
Evaluation of Lung Metastasis in Mouse Mammary Tumor Models by Quantitative Real-time PCR
Published on: January 29, 2016
A precise and efficient stereological method for determining murine lung metastasis volumes
B S Nielsen1, L R Lund, I J Christensen
1Finsen Laboratory, Rigshospitalet Copenhagen University Hospital, Copenhagen, Denmark. schnack@finsenlab.dk
The American Journal of Pathology
|June 8, 2001
Summary
We developed a computer-assisted stereology method to accurately measure lung metastasis volumes in mice. This unbiased technique provides a reliable assessment of metastasis burden, crucial for cancer research.
Area of Science:
- Oncology
- Stereology
- Biomedical Engineering
Background:
- Accurate quantification of lung metastasis is essential for evaluating cancer progression and treatment efficacy in preclinical models.
- Traditional methods for estimating metastasis volume can be labor-intensive and prone to bias.
- There is a need for precise and efficient methods to assess tumor burden in mouse lung models.
Purpose of the Study:
- To develop and validate a computer-assisted stereological method for unbiased estimation of lung metastasis volumes in mice.
- To assess the efficiency and accuracy of the Cavalieri principle-based stereology for quantifying metastasis.
- To establish a reliable tool for measuring metastasis burden in preclinical cancer research.
Main Methods:
- A computer-assisted stereological approach using the Cavalieri principle was developed.
- The method involved processing snap-frozen mouse lungs and evaluating single sections from distributed tissue levels.
- Lewis lung carcinoma model in C57BL/6J mice was used to evaluate the stereological method.
Main Results:
- The developed method accurately estimated metastasis volumes, ranging from 0.01 to 14.4 mm(3) with an average of 6.1 mm(3) in nine mice.
- The coefficient of error for volume estimation was low (0.08–0.23), indicating high precision.
- The method's inherent variation contributed minimally (2.5%) to the total variance within the mouse group.
Conclusions:
- A novel, efficient, and unbiased computer-assisted stereological method for estimating lung metastasis volumes in mice has been successfully developed.
- This method offers a significant improvement in accuracy and reliability for quantifying metastasis burden in preclinical cancer studies.
- The technique provides a valuable tool for researchers studying lung metastasis and evaluating anti-cancer therapies.

