Hot Spot Not Hot Enough? Differences in Local Control for Non-Small Cell Lung Cancer Treated With Stereotactic Body Radiotherapy Based on Maximum Point Dose within the Planning Target Volume

2022 ◽  
Vol 112 (2) ◽  
pp. e5
Author(s):  
E.L. Braschi ◽  
A.N. De Leo ◽  
C.G. Morris ◽  
A.R. Yeung
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Local Control ◽  
Planning Target Volume ◽  
Stereotactic Body Radiotherapy ◽  
Hot Spot ◽  
Target Volume ◽  
Small Cell ◽  
Maximum Point ◽  
Small Cell Lung

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

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Bao-Tian Huang ◽  
Wu-Zhe Zhang ◽  
Li-Li Wu ◽  
Pei-Xian Lin ◽  
Jia-Yang Lu
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Local Control ◽  
Cell Lung Cancer ◽  
Stereotactic Body Radiotherapy ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Biophysical Models ◽  
The Difference

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.

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