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Published in: Radiation Oncology 1/2014

Open Access 01-12-2014 | Research

V30 as a predictor for radiation-induced hypothyroidism: a dosimetric analysis in patients who received radiotherapy to the neck

Authors: Zuleyha Akgun, Beste M Atasoy, Zeynep Ozen, Dilek Yavuz, Bahadir Gulluoglu, Meric Sengoz, Ufuk Abacioglu

Published in: Radiation Oncology | Issue 1/2014

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Abstract

Introduction

The purpose of this study is to evaluate the possible predictors of thyroid disorders after neck radiotherapy, with a focus on radiation dose-volume factors.

Methods

Thyroid function was measured in 100 patients who had received radiotherapy to the neck, including the thyroid. All radiation-induced thyroid dysfunctions were determined with an endpoint of abnormal thyroid stimulating hormone (TSH), free triiodothyronine (fT3) and thyroxine (fT4) and thyroid peroxidase antibodies and (TPA). The total volume of the thyroid, mean radiation dose to the thyroid (Dmean) and thyroid volume percentage that received radiation doses of 10–50 Gy (V10-V50) were calculated in all patients. The evaluated risk factors for thyroid dysfunction included dose-volume parameters, sex, age, previous surgery, chemotherapy and comorbidity.

Results

There were 52 patients with hypothyroidism and V30 (p = 0.03), thyroid volume (p = 0.01) and Dmean (p = 0.03) appeared to be correlated with hypothyroidism in univariate analysis. However, there was not association found in multivariate analysis for these factors.

Conclusions

Thyroid disorders after radiation therapy to the neck still represent a clinically underestimated problem. V30 may be a useful tool for evaluating the risk of hypothyroidism when determining an individual patient’s treatment.
Appendix
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Metadata
Title
V30 as a predictor for radiation-induced hypothyroidism: a dosimetric analysis in patients who received radiotherapy to the neck
Authors
Zuleyha Akgun
Beste M Atasoy
Zeynep Ozen
Dilek Yavuz
Bahadir Gulluoglu
Meric Sengoz
Ufuk Abacioglu
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2014
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/1748-717X-9-104

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