CT-based radiomic prognostic vector (RPV) predicts survival and stromal histology in high-grade serous ovarian cancer: an external validation study
Question Can the performance of a previously described RPV in women with HGSOC be replicated when licenced to an external institution? Findings External validation of RPV among 244 ovarian lesions demonstrated that, on multivariate analysis, OS was associated with RPV, stage, and postoperative residual disease, replicating previous findings. Clinical relevance External validation of a radiomic tool is an essential step in translation to clinical applicability and provides the basis for prospective validation. In clinical practice, this RPV may allow more personalized decision-making for women with ovarian cancer being considered for extensive cytoreductive surgery.
Authors
- Thomas H. Helbich (ORCID: https://orcid.org/0000-0003-3169-778X)
- Christina Fotopoulou (ORCID: https://orcid.org/0000-0001-6375-9645)
- Zsuzsanna Bagó-Horváth (ORCID: https://orcid.org/0000-0002-8555-7806)
- Andrea Rockall (ORCID: https://orcid.org/0000-0001-8270-5597)
- Ernst Schwartz (ORCID: https://orcid.org/0000-0002-7518-2035)
- Stephan Polterauer (ORCID: https://orcid.org/0000-0002-9649-4505)
- Georg Langs
- Haonan Lu (ORCID: https://orcid.org/0000-0002-2472-7488)
- Georg Wengert (ORCID: https://orcid.org/0000-0002-1854-9128)
- Eric O. Aboagye (ORCID: https://orcid.org/0000-0003-2276-6771)
- Nina Poetsch
Institutions
- Imperial College Healthcare NHS Trust (GB)
- Vienna General Hospital (AT)
- Imperial College London (GB)
- Medical University of Vienna (AT)
Publication Details
- Journal
- European Radiology
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1007/s00330-024-11267-5
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Vienna Science and Technology Fund
- Universität Wien
- Medizinische Universität Wien