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3D whole body preclinical micro-CT database of subcutaneous tumors in mice with annotations from 3 annotators.
- Source :
-
Scientific data [Sci Data] 2024 Sep 19; Vol. 11 (1), pp. 1021. Date of Electronic Publication: 2024 Sep 19. - Publication Year :
- 2024
-
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 <superscript>3</superscript> (6.9% ± 4.7), which establishes a human baseline accuracy for delineation of subcutaneous tumors, while showing good inter-annotator agreement.<br /> (© 2024. The Author(s).)
- Subjects :
- Animals
Mice
Databases, Factual
Neoplasms diagnostic imaging
X-Ray Microtomography
Subjects
Details
- Language :
- English
- ISSN :
- 2052-4463
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific data
- Publication Type :
- Academic Journal
- Accession number :
- 39300127
- Full Text :
- https://doi.org/10.1038/s41597-024-03814-y