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Murine lung tumor measurement using respiratory-gated micro-computed tomography
Dianna D Cody1, Christopher L Nelson, W Michael Bradley
1Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA. dcody@mdanderson.org
Investigative Radiology
|April 15, 2005
Summary
Micro-computed tomography (micro-CT) accurately quantifies lung tumor number and volume in K-ras mice. This imaging technique revealed significant tumor heterogeneity, with both growth and shrinkage observed within individual mice.
Area of Science:
- Oncology
- Medical Imaging
- Genetics
Background:
- K-ras genetically engineered mouse models are crucial for studying lung adenocarcinoma.
- Accurate quantification of tumor burden is essential for evaluating therapeutic efficacy.
Purpose of the Study:
- To evaluate micro-computed tomography (micro-CT) for quantifying lung tumor number and volume in K-ras mice.
- To assess the precision and accuracy of micro-CT for tumor volume measurements.
- To investigate serial changes in lung tumor volume in vivo.
Main Methods:
- K-ras mice were utilized, developing spontaneous lung adenomas and adenocarcinomas.
- Tumor number was quantified using micro-CT and compared with necropsy findings.
- Tumor volume measurement precision and accuracy were assessed.
- Serial in vivo tumor volume was monitored in a pilot cohort.
Main Results:
- Micro-CT demonstrated a significant correlation with necropsy for tumor number quantification.
- Lung tumor volume measurements exhibited high reproducibility (2% operator variability) and accuracy (6% average error).
- Serial imaging revealed dynamic tumor behavior, including both growth and shrinkage within individual mice.
Conclusions:
- Micro-CT is a powerful and accurate tool for quantifying lung tumors in K-ras mouse models.
- The study revealed unexpected tumor heterogeneity, challenging assumptions based on uniform genetic initiation.
- Micro-CT facilitates in vivo longitudinal studies of lung cancer, offering insights into tumor dynamics.