A prognostic PET radiomic model for risk stratification in non-small cell lung cancer: integrating radiogenomics and clinical features to predict survival and uncover tumor biology insights
PET-radiomic features successfully delineated high- and low-risk NSCLC patient groups. Supporting radiogenomic analysis identified tumor-promoting characteristics and immune-suppressing activity in the high-risk group, which is consistent with these patients' prognoses.
Authors
- Parisa Taheri (ORCID: https://orcid.org/0000-0002-0824-9973)
- Aaron Golden (ORCID: https://orcid.org/0000-0001-8208-4292)
Institutions
- Ollscoil na Gaillimhe – University of Galway (IE)
- University Hospital Galway (IE)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1007/s00432-025-06232-8
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- Irish Research eLibrary
- University of Galway