Texture analysis and metabolic parameters of 18F-FDG PET/CT to predict primary tumour response and prognosis of paediatric soft tissue sarcomas
Heterogeneity texture features Histogram Entropy and NGTDM Busyness and metabolic PET parameters (SUV max and SUVpeak) can predict tumour response. In aged > 11 years patients subgroup analyses, GLSZM ZSNU was an independent factor for PFS.
Authors
- Mehmet Oğuz Kartal (ORCID: https://orcid.org/0009-0009-6440-4219)
- Nedim Gülaldı (ORCID: https://orcid.org/0000-0003-1478-5294)
- Neriman Sarı (ORCID: https://orcid.org/0000-0001-5723-1385)
- Nadide Başak Gülleroğlu (ORCID: https://orcid.org/0000-0002-8533-3781)
- İnci Ergürhan İlhan (ORCID: https://orcid.org/0000-0001-6114-3134)
- Ayşenur Sinem Kartal (ORCID: https://orcid.org/0000-0003-1745-6672)
Institutions
- University of Health Science (KH)
- Başkent University Hospital (TR)
- Sağlık Bilimleri Üniversitesi (TR)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1007/s00259-025-07359-z
- Citations
- 2
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04