Literature DB >> 22717243

A prospective cohort study on radiation-induced hypothyroidism: development of an NTCP model.

Marjolein J Boomsma1, Hendrik P Bijl, Miranda E M C Christianen, Ivo Beetz, Olga Chouvalova, Roel J H M Steenbakkers, Bernard F A M van der Laan, Bruce H R Wolffenbuttel, Sjoukje F Oosting, Cornelis Schilstra, Johannes A Langendijk.   

Abstract

PURPOSE: To establish a multivariate normal tissue complication probability (NTCP) model for radiation-induced hypothyroidism. METHODS AND MATERIALS: The thyroid-stimulating hormone (TSH) level of 105 patients treated with (chemo-) radiation therapy for head-and-neck cancer was prospectively measured during a median follow-up of 2.5 years. Hypothyroidism was defined as elevated serum TSH with decreased or normal free thyroxin (T4). A multivariate logistic regression model with bootstrapping was used to determine the most important prognostic variables for radiation-induced hypothyroidism.
RESULTS: Thirty-five patients (33%) developed primary hypothyroidism within 2 years after radiation therapy. An NTCP model based on 2 variables, including the mean thyroid gland dose and the thyroid gland volume, was most predictive for radiation-induced hypothyroidism. NTCP values increased with higher mean thyroid gland dose (odds ratio [OR]: 1.064/Gy) and decreased with higher thyroid gland volume (OR: 0.826/cm(3)). Model performance was good with an area under the curve (AUC) of 0.85.
CONCLUSIONS: This is the first prospective study resulting in an NTCP model for radiation-induced hypothyroidism. The probability of hypothyroidism rises with increasing dose to the thyroid gland, whereas it reduces with increasing thyroid gland volume.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22717243     DOI: 10.1016/j.ijrobp.2012.05.020

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  32 in total

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2.  A dosimetric study on radiation-induced hypothyroidism following intensity-modulated radiotherapy in patients with nasopharyngeal carcinoma.

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3.  Nomogram for radiation-induced hypothyroidism prediction in nasopharyngeal carcinoma after treatment.

Authors:  Ren Luo; Mei Li; Zhining Yang; Yizhou Zhan; Baotian Huang; Jiayang Lu; Zhenxi Xu; Zhixiong Lin
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4.  A Quantitative Clinical Decision-Support Strategy Identifying Which Patients With Oropharyngeal Head and Neck Cancer May Benefit the Most From Proton Radiation Therapy.

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5.  Toward a model-based patient selection strategy for proton therapy: External validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort.

Authors:  Pierre Blanchard; Andrew J Wong; G Brandon Gunn; Adam S Garden; Abdallah S R Mohamed; David I Rosenthal; Joseph Crutison; Richard Wu; Xiaodong Zhang; X Ronald Zhu; Radhe Mohan; Mayankkumar V Amin; C David Fuller; Steven J Frank
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6.  Systematic Review of Normal Tissue Complication Models Relevant to Standard Fractionation Radiation Therapy of the Head and Neck Region Published After the QUANTEC Reports.

Authors:  N Patrik Brodin; Rafi Kabarriti; Madhur K Garg; Chandan Guha; Wolfgang A Tomé
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7.  Assessment of the confidence interval in the multivariable normal tissue complication probability model for predicting radiation-induced liver disease in primary liver cancer.

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8.  Application of Multi-Scale Fusion Attention U-Net to Segment the Thyroid Gland on Localized Computed Tomography Images for Radiotherapy.

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9.  Volumetric modulated arc radiotherapy of the whole larynx, followed by a single affected vocal cord, for T1a glottic cancer: Dosimetric analysis of a case.

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10.  Development of multivariate NTCP models for radiation-induced hypothyroidism: a comparative analysis.

Authors:  Laura Cella; Raffaele Liuzzi; Manuel Conson; Vittoria D'Avino; Marco Salvatore; Roberto Pacelli
Journal:  Radiat Oncol       Date:  2012-12-27       Impact factor: 3.481

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