1. 3D whole body preclinical micro-CT database of subcutaneous tumors in mice with annotations from 3 annotators.
- Author
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Jensen M, Clemmensen A, Hansen JG, van Krimpen Mortensen J, Christensen EN, Kjaer A, and Ripa RS
- Subjects
- Animals, Mice, Databases, Factual, Neoplasms diagnostic imaging, X-Ray Microtomography
- Abstract
A pivotal animal model for development of anticancer molecules is mice with subcutaneous tumors, grown by injection of xenografted tumor cells, where micro-Computed Tomography (µCT) of the mice is used to analyze the efficacy of the anticancer molecule. Manual delineation of the tumor region is necessary for the analysis, which is time-consuming and inconsistent, highlighting the need for automatic segmentation (AS) tools. This study introduces a preclinical µCT database, comprising 452 whole-body scans from 223 individual mice with subcutaneous tumors, spanning ten diverse µCT datasets conducted between 2014 and 2020 on a preclinical PET/CT scanner, making it the hitherto largest dataset of its kind. Each tumor is annotated manually by three expert annotators, allowing for robust model development. Inter-annotator agreement was analyzed, and we report an overall annotation agreement of 0.903 ± 0.046 (mean ± std) Fleiss' Kappa and a mean deviation in volume estimation of 0.015 ± 0.010 cm
3 (6.9% ± 4.7), which establishes a human baseline accuracy for delineation of subcutaneous tumors, while showing good inter-annotator agreement., (© 2024. The Author(s).)- Published
- 2024
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