Literature DB >> 26341608

Multivariable normal-tissue complication modeling of acute esophageal toxicity in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy.

Robin Wijsman1, Frank Dankers2, Esther G C Troost3, Aswin L Hoffmann4, Erik H F M van der Heijden5, Lioe-Fee de Geus-Oei6, Johan Bussink2.   

Abstract

BACKGROUND AND
PURPOSE: The majority of normal-tissue complication probability (NTCP) models for acute esophageal toxicity (AET) in advanced stage non-small cell lung cancer (AS-NSCLC) patients treated with (chemo-)radiotherapy are based on three-dimensional conformal radiotherapy (3D-CRT). Due to distinct dosimetric characteristics of intensity-modulated radiation therapy (IMRT), 3D-CRT based models need revision. We established a multivariable NTCP model for AET in 149 AS-NSCLC patients undergoing IMRT.
MATERIALS AND METHODS: An established model selection procedure was used to develop an NTCP model for Grade ⩾2 AET (53 patients) including clinical and esophageal dose-volume histogram parameters.
RESULTS: The NTCP model predicted an increased risk of Grade ⩾2 AET in case of: concurrent chemoradiotherapy (CCR) [adjusted odds ratio (OR) 14.08, 95% confidence interval (CI) 4.70-42.19; p<0.001], increasing mean esophageal dose [Dmean; OR 1.12 per Gy increase, 95% CI 1.06-1.19; p<0.001], female patients (OR 3.33, 95% CI 1.36-8.17; p=0.008), and ⩾cT3 (OR 2.7, 95% CI 1.12-6.50; p=0.026). The AUC was 0.82 and the model showed good calibration.
CONCLUSIONS: A multivariable NTCP model including CCR, Dmean, clinical tumor stage and gender predicts Grade ⩾2 AET after IMRT for AS-NSCLC. Prior to clinical introduction, the model needs validation in an independent patient cohort.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Esophagitis; Intensity-modulated radiation therapy; Non-small cell lung cancer; Predictive models

Mesh:

Year:  2015        PMID: 26341608     DOI: 10.1016/j.radonc.2015.08.010

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  19 in total

Review 1.  Revisiting the dose constraints for head and neck OARs in the current era of IMRT.

Authors:  N Patrik Brodin; Wolfgang A Tomé
Journal:  Oral Oncol       Date:  2018-09-08       Impact factor: 5.337

2.  Digestive toxicities after palliative three-dimensional conformal radiation therapy (3D-CRT) for cervico-thoracic spinal metastases.

Authors:  Guillaume Peyraga; Delphine Caron; Thibaut Lizee; Yann Metayer; Anne-Lise Septans; Yoann Pointreau; Fabrice Denis; Gerard Ganem; Cedrik Lafond; Sophie Roche; Olivier Dupuis
Journal:  Support Care Cancer       Date:  2017-12-23       Impact factor: 3.603

3.  Toward personalized dose-prescription in locally advanced non-small cell lung cancer: Validation of published normal tissue complication probability models.

Authors:  M Thor; Jo Deasy; A Iyer; E Bendau; A Fontanella; A Apte; E Yorke; A Rimner; A Jackson
Journal:  Radiother Oncol       Date:  2019-05-27       Impact factor: 6.280

4.  A Quantitative Clinical Decision-Support Strategy Identifying Which Patients With Oropharyngeal Head and Neck Cancer May Benefit the Most From Proton Radiation Therapy.

Authors:  N Patrik Brodin; Rafi Kabarriti; Mark Pankuch; Clyde B Schechter; Vinai Gondi; Shalom Kalnicki; Chandan Guha; Madhur K Garg; Wolfgang A Tomé
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-11-26       Impact factor: 7.038

5.  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
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-09-29       Impact factor: 7.038

Review 6.  Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.

Authors:  Antonio Jesús Banegas-Luna; Jorge Peña-García; Adrian Iftene; Fiorella Guadagni; Patrizia Ferroni; Noemi Scarpato; Fabio Massimo Zanzotto; Andrés Bueno-Crespo; Horacio Pérez-Sánchez
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

7.  Radiobiological evaluation of simultaneously dose-escalated versus non-escalated intensity-modulated radiation therapy for patients with upper thoracic esophageal cancer.

Authors:  Bao-Tian Huang; Li-Li Wu; Long-Jia Guo; Liang-Yu Xu; Rui-Hong Huang; Pei-Xian Lin; Jian-Zhou Chen; De-Rui Li; Chuang-Zhen Chen
Journal:  Onco Targets Ther       Date:  2017-04-19       Impact factor: 4.147

8.  Different definitions of esophagus influence esophageal toxicity prediction for esophageal cancer patients administered simultaneous integrated boost versus standard-dose radiation therapy.

Authors:  Bao-Tian Huang; Rui-Hong Huang; Wu-Zhe Zhang; Wen Lin; Long-Jia Guo; Liang-Yu Xu; Pei-Xian Lin; Jian-Zhou Chen; De-Rui Li; Chuang-Zhen Chen
Journal:  Sci Rep       Date:  2017-03-09       Impact factor: 4.379

9.  A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer.

Authors:  Shulian Wang; Jeff Campbell; Matthew H Stenmark; Paul Stanton; Jing Zhao; Martha M Matuszak; Randall K Ten Haken; Feng-Ming Kong
Journal:  Radiother Oncol       Date:  2018-03       Impact factor: 6.280

10.  A phase II study of concurrent nab-paclitaxel/carboplatin combined with thoracic radiotherapy in locally advanced squamous cell lung cancer.

Authors:  Kan Wu; Lucheng Zhu; Jiahao Wang; Kaicheng Pan; Bing Wang; Xin Li; Shaoyu Yang; Xiao Xu; Minna Zhang; Xiadong Li; Xueqin Chen; Shenglin Ma; Bing Xia
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

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