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BioMed Research International
Volume 2017, Article ID 1436573, 8 pages
https://doi.org/10.1155/2017/1436573
Research Article

Comparative Analysis of Local Control Prediction Using Different Biophysical Models for Non-Small Cell Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy

1Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515031, China
2Department of Nosocomial Infection Management, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China

Correspondence should be addressed to Jia-Yang Lu; moc.361@5202aijnait

Received 15 April 2017; Accepted 14 May 2017; Published 14 June 2017

Academic Editor: Noriyoshi Sawabata

Copyright © 2017 Bao-Tian Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose. The consistency for predicting local control (LC) data using biophysical models for stereotactic body radiotherapy (SBRT) treatment of lung cancer is unclear. This study aims to compare the results calculated from different models using the treatment planning data. Materials and Methods. Treatment plans were designed for 17 patients diagnosed with primary non-small cell lung cancer (NSCLC) using 5 different fraction schemes. The Martel model, Ohri model, and the Tai model were used to predict the 2-year LC value. The Gucken model, Santiago model, and the Tai model were employed to estimate the 3-year LC data. Results. We found that the employed models resulted in completely different LC prediction except for the Gucken and the Santiago models which exhibited quite similar 3-year LC data. The predicted 2-year and 3-year LC values in different models were not only associated with the dose normalization but also associated with the employed fraction schemes. The greatest difference predicted by different models was up to 15.0%. Conclusions. Our results show that different biophysical models influence the LC prediction and the difference is not only correlated to the dose normalization but also correlated to the employed fraction schemes.