Relationship Between [18F]FDG PET/CT Texture Analysis and Progression-Free Survival in Patients Diagnosed With Invasive Breast Carcinoma
ML models incorporating PET-derived TFs and clinical parameters may assist in predicting progression during the pre-treatment period in patients with invasive breast carcinoma.
Authors
- Sibel Göksel (ORCID: https://orcid.org/0000-0003-2584-1386)
- Hande Melike Bülbül (ORCID: https://orcid.org/0000-0001-9492-093X)
- Ogün Bülbül (ORCID: https://orcid.org/0000-0002-4154-8801)
Institutions
- Recep Tayyip Erdoğan University (TR)
- Adnan Menderes University (TR)
Publication Details
- Journal
- European Journal of Breast Health
- Published
- 2025-08-22
- DOI
- https://doi.org/10.4274/ejbh.galenos.2025.2025-5-3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00