Variations in radiomic features of the femoral head and neck during helical tomotherapy in prostate and rectal cancer patients
Among robust RFs, the most highly correlated with dose alterations were IB, IH, and gray-level co-occurrence matrix (GLCM)-based RFs. The RFs at mid- and end-treatment varied with dose fractionation. Percentage changes in robust MVCT features during HT may serve as early markers.
Authors
- Elmira Yazdani (ORCID: https://orcid.org/0000-0001-8371-8832)
- Seied Rabi Mahdavi (ORCID: https://orcid.org/0000-0003-1973-2140)
- Fatemeh Sadat Hosseini‐Baharanchi (ORCID: https://orcid.org/0000-0003-1633-2635)
- Malakeh Malekzadeh
- Golbarg Esmaili
- Alireza Nikoofar (ORCID: https://orcid.org/0000-0001-5138-1016)
- Foad Goli-Ahmadabad
- Maryam Gholizade
Institutions
- Iran University of Medical Sciences (IR)
- Kermanshah University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1186/s12885-025-14903-5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Iran University of Medical Sciences