Literature DB >> 28871994

Inclusion of Incidental Radiation Dose to the Cardiac Atria and Ventricles Does Not Improve the Prediction of Radiation Pneumonitis in Advanced-Stage Non-Small Cell Lung Cancer Patients Treated With Intensity Modulated Radiation Therapy.

Robin Wijsman1, Frank J W M Dankers2, Esther G C Troost3, Aswin L Hoffmann4, Erik H F M van der Heijden5, Lioe-Fee de Geus-Oei6, Johan Bussink7.   

Abstract

PURPOSE: To evaluate whether inclusion of incidental radiation dose to the cardiac atria and ventricles improves the prediction of grade ≥3 radiation pneumonitis (RP) in advanced-stage non-small cell lung cancer (AS-NSCLC) patients treated with intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT). METHODS AND MATERIALS: Using a bootstrap modeling approach, clinical parameters and dose-volume histogram (DVH) parameters of lungs and heart (assessing atria and ventricles separately and combined) were evaluated for RP prediction in 188 AS-NSCLC patients.
RESULTS: After a median follow-up of 18.4 months, 26 patients (13.8%) developed RP. Only the median mean lung dose (MLD) differed between groups (15.3 Gy vs 13.7 Gy for the RP and non-RP group, respectively; P=.004). The MLD showed the highest Spearman correlation coefficient (Rs) for RP (Rs = 0.21; P<.01). Most Rs of the lung DVH parameters exceeded those of the heart DVH parameters. After predictive modeling using a bootstrap procedure, the MLD was always included in the predictive model for grade ≥3 RP, whereas the heart DVH parameters were seldom included in the model.
CONCLUSION: Incidental dose to the cardiac atria and ventricles did not improve RP risk prediction in our cohort of 188 AS-NSCLC patients treated with IMRT or VMAT.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28871994     DOI: 10.1016/j.ijrobp.2017.04.011

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


  7 in total

1.  Predicting Prognosis and Adverse Events by Hematologic Markers in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma Treated with Neoadjuvant Chemoradiotherapy.

Authors:  Guoxin Cai; Jinming Yu; Xue Meng
Journal:  Cancer Manag Res       Date:  2020-09-15       Impact factor: 3.989

Review 2.  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

Review 3.  Radiation Pneumonitis: Old Problem, New Tricks.

Authors:  Varsha Jain; Abigail T Berman
Journal:  Cancers (Basel)       Date:  2018-07-03       Impact factor: 6.639

4.  Fixed-jaw technique to improve IMRT plan quality for the treatment of cervical and upper thoracic esophageal cancer.

Authors:  Wei Song; Hong Lu; Jie Liu; Di Zhao; Jun Ma; Biyun Zhang; Dahai Yu; Xinchen Sun; Jinkai Li
Journal:  J Appl Clin Med Phys       Date:  2019-08-28       Impact factor: 2.102

5.  Intermediate Dose-Volume Parameters, Not Low-Dose Bath, Is Superior to Predict Radiation Pneumonitis for Lung Cancer Treated With Intensity-Modulated Radiotherapy.

Authors:  Yinnan Meng; Wei Luo; Wei Wang; Chao Zhou; Suna Zhou; Xingni Tang; Liqiao Hou; Feng-Ming Spring Kong; Haihua Yang
Journal:  Front Oncol       Date:  2020-10-15       Impact factor: 6.244

6.  Proton vs photon: A model-based approach to patient selection for reduction of cardiac toxicity in locally advanced lung cancer.

Authors:  S Teoh; F Fiorini; B George; K A Vallis; F Van den Heuvel
Journal:  Radiother Oncol       Date:  2019-08-17       Impact factor: 6.901

7.  Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Authors:  Timo M Deist; Frank J W M Dankers; Gilmer Valdes; Robin Wijsman; I-Chow Hsu; Cary Oberije; Tim Lustberg; Johan van Soest; Frank Hoebers; Arthur Jochems; Issam El Naqa; Leonard Wee; Olivier Morin; David R Raleigh; Wouter Bots; Johannes H Kaanders; José Belderbos; Margriet Kwint; Timothy Solberg; René Monshouwer; Johan Bussink; Andre Dekker; Philippe Lambin
Journal:  Med Phys       Date:  2018-06-13       Impact factor: 4.071

  7 in total

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