Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans
<p><strong>Purpose: </strong>There is growing interest about biological effective dose (BED) and its application in treatment plan evaluation due to its stronger correlation with treatment outcome. An approximate biological effective dose (BED<sub>A</sub>) equation was...
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doaj-8777356ecd5443989d3e2a3e11a34eb22020-11-24T22:50:34ZengIJCTOInternational Journal of Cancer Therapy and Oncology 2330-40492014-03-012260Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plansKevin I Kauweloa0Alonso N Gutierrez1Angelo Bergamo2Sotirios Stathakis3Niko Papanikolaou4Panayiotis Mavroidis5Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Cancer Therapy and Research Center, San Antonio, TX, USA.Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Cancer Therapy and Research Center, San Antonio, TX, USA.Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Cancer Therapy and Research Center, San Antonio, TX, USA.Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Cancer Therapy and Research Center, San Antonio, TX, USA.Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Cancer Therapy and Research Center, San Antonio, TX, USA.Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Cancer Therapy and Research Center, San Antonio, TX, USA.<p><strong>Purpose: </strong>There is growing interest about biological effective dose (BED) and its application in treatment plan evaluation due to its stronger correlation with treatment outcome. An approximate biological effective dose (BED<sub>A</sub>) equation was introduced in order to simplify BED calculations by treatment planning systems in multi-phase treatments. The purpose of this work is to reveal its mathematical properties relative to the true, multi-phase BED (BED<sub>T</sub>) equation.</p><p><strong>Methods</strong>: The BED<sub>T</sub> equation was derived and used to reveal the mathematical properties of BED<sub>A</sub>. MATLAB (MathWorks, Natick, MA) was used to simulate and analyze common and extreme clinical multi-phase cases. In those cases, percent error and Bland-Altman analysis were used to study the significance of the inaccuracies of BED<sub>A</sub> for different combinations of total doses, numbers of fractions, doses per fractions and α/β values. All the calculations were performed on a voxel-basis in order to study how dose distributions would affect the accuracy of BED<sub>A</sub>.</p><p><strong>Results: </strong>When the voxel dose-per-fractions (DPF) delivered by both phases are equal, BED<sub>A</sub> and BED<sub>T</sub> are equal (0% error). In heterogeneous dose distributions, which significantly vary between the phases, there are fewer occurrences of equal DPFs and hence the imprecision of BED<sub>A</sub> is greater. It was shown that as the α/β ratio increased the accuracy of BED<sub>A</sub> would improve. Examining twenty-four cases, it was shown that the range of DPF ratios for 3% P<sub>error</sub> varied from 0.32 to 7.50Gy, whereas for P<sub>error</sub> of 1% the range varied from 0.50 to 2.96Gy.</p><p><strong>Conclusion</strong>: The DPF between the different phases should be equal in order to render BED<sub>A</sub> accurate. OARs typically receive heterogeneous dose distributions hence the probability of equal DPFs is low. Consequently, the BED<sub>A</sub> equation should only be used for targets or OARs that receive uniform or very similar dose distributions by the different treatment phases.</p><p><strong>---------------------------</strong></p><p><strong>Cite this article as</strong>: Kauweloa KI, Gutierrez AN, Bergamo A, Stathakis S, Papaniko-laou N, Mavroidis P. Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans. Int J Cancer Ther Oncol 2014; 2(2):020226. <strong>DOI: 10.14319/ijcto.0202.26</strong></p>http://ijcto.org/index.php/IJCTO/article/view/109 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kevin I Kauweloa Alonso N Gutierrez Angelo Bergamo Sotirios Stathakis Niko Papanikolaou Panayiotis Mavroidis |
spellingShingle |
Kevin I Kauweloa Alonso N Gutierrez Angelo Bergamo Sotirios Stathakis Niko Papanikolaou Panayiotis Mavroidis Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans International Journal of Cancer Therapy and Oncology |
author_facet |
Kevin I Kauweloa Alonso N Gutierrez Angelo Bergamo Sotirios Stathakis Niko Papanikolaou Panayiotis Mavroidis |
author_sort |
Kevin I Kauweloa |
title |
Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans |
title_short |
Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans |
title_full |
Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans |
title_fullStr |
Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans |
title_full_unstemmed |
Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans |
title_sort |
mathematical analysis of approximate biological effective dose (bed) calculation for multi-phase radiotherapy treatment plans |
publisher |
IJCTO |
series |
International Journal of Cancer Therapy and Oncology |
issn |
2330-4049 |
publishDate |
2014-03-01 |
description |
<p><strong>Purpose: </strong>There is growing interest about biological effective dose (BED) and its application in treatment plan evaluation due to its stronger correlation with treatment outcome. An approximate biological effective dose (BED<sub>A</sub>) equation was introduced in order to simplify BED calculations by treatment planning systems in multi-phase treatments. The purpose of this work is to reveal its mathematical properties relative to the true, multi-phase BED (BED<sub>T</sub>) equation.</p><p><strong>Methods</strong>: The BED<sub>T</sub> equation was derived and used to reveal the mathematical properties of BED<sub>A</sub>. MATLAB (MathWorks, Natick, MA) was used to simulate and analyze common and extreme clinical multi-phase cases. In those cases, percent error and Bland-Altman analysis were used to study the significance of the inaccuracies of BED<sub>A</sub> for different combinations of total doses, numbers of fractions, doses per fractions and α/β values. All the calculations were performed on a voxel-basis in order to study how dose distributions would affect the accuracy of BED<sub>A</sub>.</p><p><strong>Results: </strong>When the voxel dose-per-fractions (DPF) delivered by both phases are equal, BED<sub>A</sub> and BED<sub>T</sub> are equal (0% error). In heterogeneous dose distributions, which significantly vary between the phases, there are fewer occurrences of equal DPFs and hence the imprecision of BED<sub>A</sub> is greater. It was shown that as the α/β ratio increased the accuracy of BED<sub>A</sub> would improve. Examining twenty-four cases, it was shown that the range of DPF ratios for 3% P<sub>error</sub> varied from 0.32 to 7.50Gy, whereas for P<sub>error</sub> of 1% the range varied from 0.50 to 2.96Gy.</p><p><strong>Conclusion</strong>: The DPF between the different phases should be equal in order to render BED<sub>A</sub> accurate. OARs typically receive heterogeneous dose distributions hence the probability of equal DPFs is low. Consequently, the BED<sub>A</sub> equation should only be used for targets or OARs that receive uniform or very similar dose distributions by the different treatment phases.</p><p><strong>---------------------------</strong></p><p><strong>Cite this article as</strong>: Kauweloa KI, Gutierrez AN, Bergamo A, Stathakis S, Papaniko-laou N, Mavroidis P. Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans. Int J Cancer Ther Oncol 2014; 2(2):020226. <strong>DOI: 10.14319/ijcto.0202.26</strong></p> |
url |
http://ijcto.org/index.php/IJCTO/article/view/109 |
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