Micro-CT acquisition and image processing to track and characterize pulmonary nodules in mice.
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Embargo End Date
ICR Authors
Authors
Zaw Thin, M
Moore, C
Snoeks, T
Kalber, T
Downward, J
Behrens, A
Moore, C
Snoeks, T
Kalber, T
Downward, J
Behrens, A
Document Type
Journal Article
Date
2022-12-09
Date Accepted
2022-08-09
Abstract
X-ray computed tomography is a reliable technique for the detection and longitudinal monitoring of pulmonary nodules. In preclinical stages of diagnostic or therapeutic development, the miniaturized versions of the clinical computed tomography scanners are ideally suited for carrying out translationally-relevant research in conditions that closely mimic those found in the clinic. In this Protocol, we provide image acquisition parameters optimized for low radiation dose, high-resolution and high-throughput computed tomography imaging using three commercially available micro-computed tomography scanners, together with a detailed description of the image analysis tools required to identify a variety of lung tumor types, characterized by specific radiological features. For each animal, image acquisition takes 4-8 min, and data analysis typically requires 10-30 min. Researchers with basic training in animal handling, medical imaging and software analysis should be able to implement this protocol across a wide range of lung cancer models in mice for investigating the molecular mechanisms driving lung cancer development and the assessment of diagnostic and therapeutic agents.
Citation
Nature Protocols, 2022,
Source Title
Nature Protocols
Publisher
NATURE PORTFOLIO
ISSN
1754-2189
eISSN
1750-2799
1750-2799
1750-2799
Collections
Research Team
Cancer Stem Cell
Lung Cancer Group
Convergence SC Management
Lung Cancer Group
Convergence SC Management