MRI delta radiomics during chemoradiotherapy for prognostication in locally advanced cervical cancer
Delta- and pretreatment radiomic signatures equally allow early prognostication in LACC, outperforming FIGO stage and MRI-assessed maximum tumor diameter.
Authors
- Kari S. Wagner‐Larsen (ORCID: https://orcid.org/0000-0001-6309-0507)
- Kathrine Woie
- Camilla Krakstad (ORCID: https://orcid.org/0000-0002-0174-8139)
- Ingfrid S. Haldorsen (ORCID: https://orcid.org/0000-0001-9313-7564)
- Bjørn I. Bertelsen
- Noeska Smit (ORCID: https://orcid.org/0000-0002-3719-4625)
- Njål Lura (ORCID: https://orcid.org/0000-0002-0508-6881)
- Erlend Hodneland (ORCID: https://orcid.org/0000-0003-2828-1521)
- Ankush Gulati
- Kristine E. Fasmer (ORCID: https://orcid.org/0000-0001-8773-7870)
- Mari K. Halle (ORCID: https://orcid.org/0000-0002-2660-8271)
- Øyvind Salvesen (ORCID: https://orcid.org/0000-0002-6145-8109)
- Stian Ryste
Institutions
- Norwegian University of Science and Technology (NO)
- Haukeland University Hospital (NO)
- University of Bergen (NO)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1186/s12885-025-13509-1
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80
Funders
- Trond Mohn stiftelse
- Universitetet i Bergen
- Norges Forskningsråd