Clinical and Dosimetric Predictors of Early Onset Postradiation Hypothyroidism in Patients with Head and Neck Malignancies: A Logistic Regression Analysis
V<sub>30</sub> could serve as a dosimetric predictor of hypothyroidism following neck radiotherapy. This study underscores that a predictive model encompassing cancer type and site, along with V<sub>15,30</sub> and VS<sub>15,30</sub>, can effectively predict EO-PRH.
Authors
- Farimah Rahimi (ORCID: https://orcid.org/0000-0001-5745-1839)
- Ahmad Ameri (ORCID: https://orcid.org/0000-0002-5114-2725)
- Pooya Ameri
- Marjan Mirsalehi (ORCID: https://orcid.org/0000-0002-9952-5653)
- Zohreh Azma
- Nazanin Rahnama (ORCID: https://orcid.org/0000-0003-4167-336X)
- Fereshteh Talebi
- Farzad Taghizadeh‐Hesary (ORCID: https://orcid.org/0000-0002-6195-2203)
- Mansour Lesan
- Sanaz Poshtmahi
- Khashayar Fattah
Institutions
- Iran University of Medical Sciences (IR)
- Milad Hospital (IR)
- University Hospital of Zurich (CH)
- Bernstein Center for Computational Neuroscience Tübingen (DE)
- Imam Hossein Hospital (IR)
- Shahid Beheshti University of Medical Sciences (IR)
- University of Tübingen (DE)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Oncology and Therapy
- Published
- 2025-04-12
- DOI
- https://doi.org/10.1007/s40487-025-00338-2
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88