Spectral detector computed tomography imaging of histologically confirmed splenic pathologies in 30 canine patients: a comparison of virtual non-contrast images and true unenhanced images
Our study suggests that VNC images reconstructed from post-contrast SDCT data may serve as a promising alternative to the standard use of a pre- and post-contrast series. The VNC images provide high quality and reliability in imaging structurally altered splenic tissue, but show a potential weakness in the calculation of some mineralized lesions.
Authors
- Sebastian Meller (ORCID: https://orcid.org/0000-0002-2786-8454)
- Philipp Lietz
- Verena Nerschbach
- Holger A. Volk (ORCID: https://orcid.org/0000-0002-7312-638X)
- Andreas Beineke (ORCID: https://orcid.org/0000-0003-2187-3436)
- Adriano Wang‐Leandro (ORCID: https://orcid.org/0000-0003-2991-5696)
- Kristina Merhof (ORCID: https://orcid.org/0000-0002-9386-3096)
- Alkje M. van Gemmeren (ORCID: https://orcid.org/0009-0007-5518-7748)
- Lydia K. Claußen (ORCID: https://orcid.org/0009-0006-4550-0748)
Institutions
- University of Veterinary Medicine Hannover, Foundation (DE)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3389/fvets.2025.1645439
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36