Fluoro-2-deoxy-d-glucose PET radiomic analysis predicts outcome in patients with soft tissue sarcoma
Multiple PET radiomic features demonstrated significant prognostic utility independent of standard clinical features and predicted survival outcomes in STS. Larger prospective multicentre cohorts are required to verify our findings and enable integration into clinical decision aids and precision medicine in STS.
Authors
- Ivan Ho Shon (ORCID: https://orcid.org/0000-0002-2036-8190)
- Alex Noh (ORCID: https://orcid.org/0000-0002-6047-7471)
- Christopher Lehane (ORCID: https://orcid.org/0000-0003-3378-9274)
- Yeh Chen Lee (ORCID: https://orcid.org/0000-0003-2009-8263)
- Andrew Parasyn
- Stephen R. Thompson (ORCID: https://orcid.org/0000-0001-8210-3449)
- Philip Crowe (ORCID: https://orcid.org/0000-0002-0927-3721)
Institutions
- Prince of Wales Hospital (AU)
- Sydney Children's Hospital (AU)
Publication Details
- Journal
- Nuclear Medicine Communications
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1097/mnm.0000000000002074
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00