SU-E-T-510: Mathematical Analysis of Approximate Biological Effective Dose (BED) Calculation for Multi-Phase Radiotherapy Treatment Plans

2014 ◽  
Vol 41 (6Part19) ◽  
pp. 344-344
Author(s):  
K Kauweloa ◽  
A Gutierrez ◽  
A Bergamo ◽  
S Stathakis ◽  
N Papanikolaou ◽  
...  
Keyword(s):  
Effective Dose ◽  
Mathematical Analysis ◽  
Biological Effective Dose ◽  
Treatment Plans ◽  
Multi Phase ◽  
Radiotherapy Treatment

scholarly journals Mathematical analysis of approximate biological effective dose (BED) calculation for multi-phase radiotherapy treatment plans

2014 ◽  
Vol 2 (2) ◽  
pp. 020226
Author(s):  
Kevin Kauweloa ◽  
Alonso Gutierrez ◽  
Angelo Bergamo ◽  
Sotirios Stathakis ◽  
Niko Papanikolaou ◽  
...  
Keyword(s):  
Effective Dose ◽  
Mathematical Analysis ◽  
Biological Effective Dose ◽  
Treatment Plans ◽  
Multi Phase ◽  
Radiotherapy Treatment

Practical aspects and uncertainty analysis of biological effective dose (BED) regarding its three-dimensional calculation in multiphase radiotherapy treatment plans

2014 ◽  
Vol 41 (7) ◽  
pp. 071707 ◽  
Author(s):  
Kevin I. Kauweloa ◽  
Alonso N. Gutierrez ◽  
Angelo Bergamo ◽  
Sotirios Stathakis ◽  
Nikos Papanikolaou ◽  
...  
Keyword(s):  
Uncertainty Analysis ◽  
Effective Dose ◽  
Three Dimensional ◽  
Biological Effective Dose ◽  
Treatment Plans ◽  
Radiotherapy Treatment

Clinical analysis of the approximate, 3-dimensional, biological effective dose equation in multiphase treatment plans

2018 ◽  
Vol 43 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Kevin I. Kauweloa ◽  
Alonso N. Gutierrez ◽  
Angelo M. Bergamo ◽  
Sotirios Stathakis ◽  
Nikos Papanikolaou ◽  
...  
Keyword(s):  
Effective Dose ◽  
Clinical Analysis ◽  
Biological Effective Dose ◽  
3 Dimensional ◽  
Treatment Plans

Biological effective dose for comparison and combination of external beam and low-dose rate interstitial brachytherapy prostate cancer treatment plans

2004 ◽  
Vol 29 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Ashesh B. Jani ◽  
Christopher M. Hand ◽  
Anthony E. Lujan ◽  
John C. Roeske ◽  
Gregory P. Zagaja ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Effective Dose ◽  
Dose Rate ◽  
Low Dose ◽  
External Beam ◽  
Biological Effective Dose ◽  
Prostate Cancer Treatment ◽  
Low Dose Rate ◽  
Treatment Plans

SU-E-T-490: Clinical Analysis of the Approximate Multi-Phase Biological Effective Dose (BED) Calculation

2014 ◽  
Vol 41 (6Part19) ◽  
pp. 339-339
Author(s):  
K Kauweloa ◽  
A Gutierrez ◽  
A Bergamo ◽  
S Stathakis ◽  
N Papanikolaou ◽  
...  
Keyword(s):  
Effective Dose ◽  
Clinical Analysis ◽  
Biological Effective Dose ◽  
Multi Phase

Development of 3D biological effective dose distribution software program

2016 ◽  
Vol 16 (4) ◽  
pp. 383-390
Author(s):  
Patchareewan Khadsiri ◽  
Ekkasit Tharavichitkul ◽  
Suwit Saekho ◽  
Nisa Chawapun
Keyword(s):  
Effective Dose ◽  
Dose Distribution ◽  
Research Work ◽  
Planning System ◽  
Treatment Planning System ◽  
Biological Effective Dose ◽  
Clinical Practices ◽  
Pull Out ◽  
Software Program ◽  
Radiotherapy Treatment

AbstractPurposeTo develop a software program to convert physical dose distribution into biological effective dose (BED).MethodsThe MATLAB-based BED distribution software program was designed to import the radiotherapy treatment plan from the computer treatment planning system and to convert the physical dose distribution into the BED distribution. The BED calculation was based on the linear-quadratic-linear model (LQ-L model). Besides radiobiological parameters, other specific data could be fed in through the panel. The accuracy of the program was verified by comparing the BED distribution with manual calculation.ResultsThis software program was able to import the radiotherapy treatment plans and pull out pixel-wised physical dose for BED calculation, and display the isoBED lines on the computed tomographic (CT) image. The verification of BED dose distribution was performed in both phantom and clinical cases. It revealed that there were no differences between the program and manual BED calculations.ConclusionIt is feasible and practical to use this in-house BED distribution software program in clinical practices and research work. However, it should be used with caution as the validity of the program depends on the accuracy of the published biological parameters.

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