Optimizing CT‐Based Models for Predicting Whole‐Body Fat in Rabbits
> 0.7, p < 0.001) for all but one body region-counting combination. The best model predicting whole-body Fat% used CT data from left kidney region, HU Range 2, and three-dimensional counting technique. The optimal model predicting whole-body fat (g) used CT data from the entire abdominal region, HU Range 1, and a one-dimensional counting technique. The CT-based models for estimating whole-body fat in rabbits are feasible. Model optimization requires appropriate selection of the body region, CT number ranges, and counting techniques.
Authors
- Mette Louise Halck (ORCID: https://orcid.org/0000-0002-0102-8895)
- Charlotte Reinhard Bjørnvad (ORCID: https://orcid.org/0000-0002-2876-1667)
- Eva González Pérez
- Fintan J. McEvoy (ORCID: https://orcid.org/0000-0003-4195-8816)
- Panida Pongvittayanon
- Cecilie Olsen
- Anna Hvidbjerg Poulsen (ORCID: https://orcid.org/0009-0005-6475-2038)
Institutions
- University of Copenhagen (DK)
Publication Details
- Journal
- Veterinary Radiology & Ultrasound
- Published
- 2026-05-01
- DOI
- https://doi.org/10.1111/vru.70160
- Primary Topic
- Body Composition Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00