<scp>CT</scp> Texture Analysis of Perihilar Cholangiocarcinoma—Associations With Tumor Grading, Tumor Markers and Clinical Outcome
Several texture features derived from CT images were associated with tumor characteristics and survival in patients with perihilar cholangiocarcinomas. CT texture features could be used as valuable novel imaging markers in clinical routine.
Authors
- Hans‐Jonas Meyer (ORCID: https://orcid.org/0000-0001-8489-706X)
- Daniel Seehofer (ORCID: https://orcid.org/0000-0002-7492-8309)
- Robert Sucher (ORCID: https://orcid.org/0000-0001-6274-6359)
- Arsen Sabanov (ORCID: https://orcid.org/0000-0003-4170-1332)
- Sebastian Ebel (ORCID: https://orcid.org/0000-0001-6856-6455)
- Timm Denecke (ORCID: https://orcid.org/0000-0003-3313-3208)
- Jakob Leonhardi (ORCID: https://orcid.org/0000-0002-6351-3239)
- Benedikt Schnarkowski
- Matthias Mehdorn (ORCID: https://orcid.org/0000-0002-0047-368X)
- Anne Kathrin Höhn
Institutions
- Medical University of Graz (AT)
- Leipzig University (DE)
Publication Details
- Journal
- Cancer Reports
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/cnr2.2132
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40