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Micro-CT acquisition and image processing to track and characterize pulmonary nodules in mice

Zaw Thin, May; Moore, Christopher; Snoeks, Thomas; Kalber, Tammy; Downward, Julian; Behrens, Axel; (2022) Micro-CT acquisition and image processing to track and characterize pulmonary nodules in mice. Nature Protocols 10.1038/s41596-022-00769-5. (In press).

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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.

Type: Article
Title: Micro-CT acquisition and image processing to track and characterize pulmonary nodules in mice
Location: England
DOI: 10.1038/s41596-022-00769-5
Publisher version: https://doi.org/10.1038/s41596-022-00769-5
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Biochemical Research Methods, Biochemistry & Molecular Biology, CANCER MODELS, COMPUTED-TOMOGRAPHY, GROWTH, Life Sciences & Biomedicine, LUCIFERASE, LUNG-TUMORS, MICROCOMPUTED TOMOGRAPHY, RESISTANCE, Science & Technology, SPECTRA, TRANSGENIC MOUSE MODEL, X-RAY TUBE
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10164763
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