A new definition of biological effective dose: The dose distribution effects

2015 ◽  
Vol 31 (8) ◽  
pp. 1060-1064 ◽  
Author(s):  
Qinghui Zhang ◽  
Suqing Tian ◽  
Giovanni Borasi
2016 ◽  
Vol 16 (4) ◽  
pp. 383-390
Author(s):  
Patchareewan Khadsiri ◽  
Ekkasit Tharavichitkul ◽  
Suwit Saekho ◽  
Nisa Chawapun

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.


2014 ◽  
Vol 41 (7) ◽  
pp. 071707 ◽  
Author(s):  
Kevin I. Kauweloa ◽  
Alonso N. Gutierrez ◽  
Angelo Bergamo ◽  
Sotirios Stathakis ◽  
Nikos Papanikolaou ◽  
...  

2018 ◽  
Vol 43 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Kevin I. Kauweloa ◽  
Alonso N. Gutierrez ◽  
Angelo M. Bergamo ◽  
Sotirios Stathakis ◽  
Nikos Papanikolaou ◽  
...  

2008 ◽  
Vol 53 (19) ◽  
pp. 5513-5525 ◽  
Author(s):  
Mingli Chen ◽  
Weiguo Lu ◽  
Quan Chen ◽  
Kenneth Ruchala ◽  
Gustavo Olivera

2020 ◽  
Author(s):  
Anne Balossier ◽  
Constantin Tuleasca ◽  
Christine Cortet‐Rudelli ◽  
Gustavo Soto‐Ares ◽  
Marc Levivier ◽  
...  

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Cody L Nesvick ◽  
Christopher S Graffeo ◽  
Michael J Link ◽  
Bruce E Pollock

Abstract INTRODUCTION Reports have shown that radiation dose directly correlates with the chance of nidus obliteration after stereotactic radiosurgery (SRS) for arteriovenous malformations (AVMs). However, recent studies have shown that the rate of obliteration was greater in patients having SRS before 2000. As the effect of radiation on cell viability is both dose- and time-dependent, one explanation may be that contemporary SRS, which utilizes more isocenters of radiation to improve dose conformality, takes longer to deliver the same radiation dose, thereby reducing its effectiveness. Biological effective dose (BED) is a metric that incorporates both dose and treatment time and has been shown to correlate with enhanced cell kill in Vitro, as well as normal tissue toxicity in animal models. METHODS A retrospective study of patients having single-session AVM SRS between 1990 and 2009 with a minimum of 2 yr follow-up. Excluded were patients having prior radiation or embolization, as well as patients having volume-staged SRS. BED was calculated using the mono-exponential model described by Jones and Hopewell. The primary outcomes of the study were time to obliteration and chance of excellent outcome (nidus obliteration with no new deficits). RESULTS Three hundred twenty-one patients (328 AVMs) met inclusion criteria (median follow-up, 6.7 yr). BED was associated with both decreased time to obliteration and excellent outcome in univariate Cox regression analyses, both when treated as a dichotomous (P = .002, HR = 1.51 for obliteration; P = .001, HR = 1.61 for outcome) or continuous variable (P = .049, HR = 1.002 for obliteration; P = .01, HR = 1.00 for outcome). In multivariable analyses including dichotomized BED and modified Radiosurgery-Based Arteriovenous Malformation Score as covariates, BED remained significantly associated with both time to obliteration (P = .01, HR = 1.46) and excellent outcome (P = .04, HR = 1.40). CONCLUSION BED was predictive of outcomes after AVM SRS. Further study is warranted to determine whether BED optimization should be considered as well as a prescribed treatment dose for SRS treatment planning.


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