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Файл:Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5518_Библиотеки_им_академика_М_И_Перельмана.pdf
X
- •Acknowledgements
- •Author biographies
- •Bleddyn Jones
- •Joshua Moore
- •1.1.1 Straggling and fragmentation
- •1.1.2 Separation of charged particles with increasing tissue depth
- •1.1.3 Particle accelerators
- •1.2.1 Relative biological effect
- •1.2.2 Choice of the control (or reference) radiation source
- •1.1.4 Proton range uncertainties
- •1.2 Physics interacting with biology
- •References
- •2.1 Introduction
- •2.2 Background and models
- •2.2.1 The linear quadratic model
- •2.2.2 Model variants
- •2.2.3 Biological effective dose
- •2.2.4 Repopulation allowances
- •2.2.5 Biological effective dose and repopulation
- •2.2.6 BED expression of high-LET radiation
- •2.2.8 Closely spaced fractions
- •2.2.9 Hypoxia
- •2.2.10 Very low doses
- •2.2.11 Higher doses per fraction
- •2.3 The α/β ratio and its choice for modelling particle therapies
- •2.3.1 The α/β ratio
- •2.3.2 Applications of BED equations
- •2.3.3 Special considerations for particle therapy
- •References
- •3.1 Introduction
- •3.2 Surgery
- •3.3 Cytotoxic chemotherapies
- •3.4 Age and other medical conditions
- •3.5 Reductions in prescribed dose
- •3.6 Interpretation of the case histories and literature
- •3.7 Clinical trials
- •3.8 Ethical issues
- •3.9 Mixed end points
- •3.10 The importance of follow-up
- •3.11 Publication bias
- •References
- •4.1 Introduction
- •4.1.1 Treatment-planning processes
- •4.1.2 The important interaction of RBE issues with the marginal target volumes
- •4.1.3 Comparative planning studies
- •4.1.4 Trade-off situations in comparative treatment planning
- •4.1.5 How to accommodate assumed errors in RBE
- •4.1.6 The product of LET and dose
- •References
- •5.1 Introduction
- •5.2 A brief synopsis
- •5.3 Neutron therapy
- •5.4 More recent developments based on neutron studies
- •5.5 Estimation of neutron RBE from neutron energy
- •5.6 Some important conclusions
- •Appendix A
- •Appendix B
- •References
- •6.1 Introduction and background radiobiology
- •6.2 A brief history of fractionation
- •6.2.1 Radiobiology
- •6.2.2 A synopsis of clinical fractionation
- •6.3 Modelling of fractionation
- •6.3.1 LQ modelling of fractionation in high-LET radiations with inclusion of RBE
- •6.3.2 BED equations
- •6.3.4 Overall fractionation differences between low- and high-LET radiations
- •6.3.5 Boost doses
- •6.3.8 Differences in exposure times
- •6.3.9 RBE and dose per fraction: clinical implications
- •6.3.11 Taking RBE uncertainty into account in fractionation
- •6.4 The use of the linear quadratic model with large fraction sizes
- •6.5 Optimisation of fractionation using calculus methods
- •6.6 Other contributions to fractionation
- •6.7 Summary
- •References
- •7.1 Introduction
- •7.1.1 Arguments to preserve the status quo or avoid using RBE
- •7.2 Discussion
- •8.1 Introduction
- •8.2 The available experimental data and its important limitations
- •8.3 Description of the Z-specific model
- •8.3.2 Changes in the radiosensitivities with LET
- •8.3.3 Obtaining αH and βH values
- •8.4 The graphical results
- •8.4.1 Radiosensitivity data
- •8.4.2 Fits to experimental RBE data sets
- •8.4.3 Applications of the model to clinical radiobiology
- •8.6 Conclusions and what remains to be done
- •References
- •9.1 Introduction
- •9.2 RBE uncertainties
- •9.3 Description of the quantitative model
- •9.4 RBE graphical examples
- •9.6 Two clinical examples where PBT could be sub-optimal
- •9.6.1 Prostate cancer
- •9.6.2 Paediatric cancers and other radiosensitive tumours such as lymphomas
- •9.7 Prediction of tumour response from the RBE increment
- •9.8 Intensification of dose rates
- •9.9 Concluding discussion
- •10.1 Introduction
- •10.2 Methods
- •10.3 Results
- •10.3.1 Remission duration considerations
- •10.4 Discussion
- •References
- •10.5 Conclusions
- •11.1 Introduction
- •11.2 Methods
- •11.2.1 Linear quadratic model base equations
- •11.2.2 The modelling method
- •11.3 Results
- •11.4 Discussion
- •11.5 Conclusions
- •References
- •12.1 Introduction
- •12.2 Unintended treatment interruptions
- •12.2.1 Background
- •12.2.2 Treatment delays
- •12.2.3 Calculations for compensation of treatment interruptions
- •12.2.4 Calculations using a variable RBE value
- •12.2.5 Comparison of the two methods
- •12.2.6 Summary for unintended treatment gap corrections
- •12.3 Re-treatments
- •12.3.1 Background
- •References
- •13.1 Introduction
- •13.1.2 Background considerations
- •13.1.3 Brief description of methods
- •13.2 Model description
- •13.2.1 Biological effective dose equations
- •13.2.2 Assessment of BED changes after an error
- •13.2.3 Worked examples of errors and their correction
- •13.2.4 The potential impact of erroneous fractions on tumour control
- •13.3 Conclusions
- •References
- •14.1 Introduction
- •14.2 Dose escalation where circumstances permit
- •14.3 Simultaneous ‘sensitisation’ effects by new therapies
- •14.4 Sensitivity analysis of the energy-efficiency model
- •14.5.1 Simulated experiments
- •14.5.3 Priority in radiobiological experiments
- •14.6 Some untested situations
- •14.7 Conclusions
- •References

Quantitative Radiobiology for Proton Therapy
must also be understood by the inevitable fact that displacement of Bragg peak
position away from the International Commission on Radiation Units and
Measurements (ICRU) target volumes might increase normal tissue toxicity outside
the defined planning target volume (or PTV), but would be expected to be
accompanied by reduced tumour control: there is no evidence that this has occurred,
so it is reasonable to invoke RBE as being the main culprit.
RBE is of paramount importance since it determines the dose given to the patient
in equivalent-Gy. Essentially, if the RBE is incorrect the proton dose may be too low
or too high, with consequent effects in each patient.
RBE depends on multiple factors, as discussed in the previous chapter. This
multi-factorial basis of RBE implies that it cannot be a constant value, but must be a
continuous variable (as is height and weight in humans). Particularly relevant are the
radiobiological properties of the control low LET of conventional megavoltage
radiotherapy, which govern the numerator of the RBE definition. Report 16 of the
ICRU (1970) states that the mean LET for megavoltage radiations (electrons and
photons) is around 0.2–0.3 keV μm
−1
. From the shapes of the cell-survival or
bioeffect curves at low and high LET, it is inevitable that the numerator dose of the
RBE ratio will increase to a greater extent than the denominator dose for a given
isoeffect when dose per fraction is changed. An idealised example of cell survival
isoeffects can be seen in figure 1.3 in chapter 1.
Proton therapy has two potential Achilles heels (unlike only one susceptible heel
in the original Homeric poem). They are (1) physical dose placement uncertainty
and (2) biological effect (RBE) uncertainties. First it is necessary to describe some of
the physical uncertainties before considering the RBE issues in greater detail. The
physical issues have already been discussed in chapter 1.
9.2 RBE uncertainties
The RBE concept is so often either misunderstood or underestimated in terms of
complexity. It is vital to understand its multi-factorial dependency, already listed
above. All clinicians should understand that if the RBE is incorrect, so also will be
the dose given to the patient, sometimes by a percentage change that could exceed
normally acceptable treatment plan dose variations, or the legally permitted range of
dose due to errors in beam delivery (Dale et al 2009). RBE also has an impact on
proton range uncertainties (Carabe et al 2012). A reported reduction in RBE at long
range (Calugaru et al 2011) is possibly connected with the increasingly separating
tracks, as discussed in chapter 1, and has important implications which need further
experimentation (see chapters 11 and 14).
Proton RBEs have similarities with those for heavier ions than protons, but
with some differences in scale. High proton RBEs have been found in various
experiments, in high-LET parts of the beam (Belli et al 2000, Britten et al 2013,
Marshall et al 2016). Also, the rise in RBE per unit increase in LET is larger at lower
LET values for protons compared to all heavier ions (probably because of the
smaller Katz radius of ionisation associated with each track; see chapter 1), which is
directly proportional to the nuclear charge (Z), and protons have the lowest Z number
of 1. So, protons are more efficient at increasing RBE at lower values of LET. This
9-3

Quantitative Radiobiology for Proton Therapy
causes the turnover of RBE with LET at around 30.5 in Belli’s experiments, rather
than at between 100–120 and 180–220 keV μm
−1
for protons, helium and carbon ions,
respectively, as shown in the previous chapter. The potential for high RBE values
occurring at deceptively low LET values consequently arises.
The essential clinical features of RBE are its inevitable dependency on LET, dose
and tumour/tissue type. Changes in proton RBE with dose per fraction and tissue
type have not been as extensively researched when compared with the range of
experimental systems used for fast neutrons. In the latter case there was a clear
dependency on tissue type: fast-proliferating, acute-reacting tissues (with high α/β
ratios) had much smaller changes in RBE with dose than were the case for far more
slowly proliferating, late-reacting tissues (with low α/β ratios) (Carabe-Fernandez
et al 2007, 2010). The collected proton experiments, and the expedient decision to
allocate an overall RBE of 1.1, representing a median value, to all tissues and
tumours (regardless of their α/β ratio) is discussed in chapter 7; in order for proton
therapy to improve, this must be reconsidered. This should be coupled with more
detailed experimental studies and analysis of human clinical outcomes, including
radiological changes in normal tissues for LET-RBE effects.
9.3 Description of the quantitative model
To determine the RBE, the same equations as in the preceding chapter 8 are used,
but with a proton Z number of 1. Further details can be found in two publications
(Jones 2015a, 2017) concerning the link between the low-LET reference values for α
and β and their high-LET counterparts, and in the supplementary data in the most
recent reference.
The efficiency of cell killing, in terms of the α and β parameters, are both assumed to
rise linearly with LET to a maximum at around 30.5 keV μm
and to a maximum level which is related to the low-LET (reference, or control
radiation) α and β parameters (respectively termed α
and βL, but where α/β is used it
L
will refer to the low-LET state). The model considers increments in α and β that are
proportional to LET, but using a saturation effect which limits the maximum possible
increase in α and β, as given in the previous chapter. Some comments regarding the
value of 30.5 keV μm
−1
are given in Jones (2019) especially the comments of Dr P
O’Neill regarding proton ranges, since at this and high LET values the particle range
can become insufficient to reach the cellular nucleus in experimental conditions when
using monoenergetic protons. Contrasting data using fast neutrons (see chapter 5 )
suggest that the proton LET
should be round 62 keV μm−1, but this would be in a
U
beam where protons are being released stochastically along neutron tracks and so at
any point within a cell such that range restrictions will not be as applicable.
Since the proton LET–RBE turnover point (defined as LET
(Belli et al 2000), and the increments in RBE (and consequently the radiosensitivity
parameters) with LET appear to be linear (Belli et al 2000, Sørensen et al 2011), then
with increasing dose the overall RBE will fall in proportion to the shift between the
high-LET α and β parameters as shown in figure 9.2 (a more complete version of this
graphic is given as figure 8.1 in chapter 8).
−1
, as seen in figure 9.1,
) is at 30.5 keV μm
U
−1
9-4

Quantitative Radiobiology for Proton Therapy
Figure 9.1. Data of Belli et al showing α rising linearly with linear energy transfer (LET). The least-squares
fitted line is α
strain of V-79 cells used, where 0.12 Gy
= 0.12 + 0.02 LET for data points below 31 keV μm−1, which will only be the case for the
H
−1
is the control low-LET αLvalue.
Figure 9.2. Schematic diagram of the linear increase change in α and β with LET. Increasing dose will increase
the proportion of β-mediated cell kill and so cause a lower overall RBE (itself determined by the increments in
α (changing RBE
) and in β (changing RBE
max
), and so the relative proportions of RBE
min
max
and RBE
min
which contribute to the overall RBE at any value of LET within this range. The increase in β with LET is
always smaller than that in α. So, with increasing dose the overall RBE follows the direction of the arrow. The
numbers used in this figure are not intended to represent any particular cell system.
9-5

Quantitative Radiobiology for Proton Therapy
The model outputs, u sing a baseline (control) LET of 0.22 keV μm−1for
megavoltage photons, are now displayed in the form of figures 9.3(a)–(e), where
the fixed parameter was β = 0.03 Gy
tables 9.1–9.5, where stochastic estimates are obtain ed by assuming mean α
values of 0.07 Gy
−1
for a α/β of 2 and 3 Gy for late-reacting normal tissues,
and reference radiation α values of 0.275, 0.375 and 0.55 Gy
−2
(at the reference low LET), and
−1
for tumours
with α/β ratios of, respectively, 4.5, 10 and 25 Gy. In all cases a standard
deviation of 10% of the mean was used in Mathematica for random-sampling
procedures using 1000 samples, from which the mean RBE and the 1% and 99%
quantile ranges were found.
Figure 9.3. (a)–(e) Plots of proton RBE with dose per fraction at specified LET values.
9-6

Quantitative Radiobiology for Proton Therapy
Table 9.1. α/β = 2 Gy: central nervous system late effects with mean α = 0.07 Gy−1(SD = 0.02).
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 1.25 1.10
(1.08, 1.11)
1.12
(1.08, 1.14)
1.15
(1.13, 1.18)
1.18
(1.16, 1.21)
1.21
(1.18, 1.24)
1.42
(1.37, 1.48)
1.80
(1.7, 1.9)
d = 1.5
d = 1.8
d = 2
d = 2.5
d =
3
d = 5
d = 10
d = 12.5
1.09
(1.07, 1.10)
1.08
(1.07, 1.09)
1.07
(1.06, 1.09)
1.06
(1.05, 1.08)
1.06
(1.05, 1.07)
1.04
(1.03, 1.05)
1.02
(1.01, 1.03)
1.02
(1.01, 1.03)
1.11
(1.10, 1.13)
1.10
(1.09, 1.12)
1.10
(1.08, 1.11)
1.08
(1.07, 1.10)
1.07
(1.06, 1.09)
1.05
(1.04, 1.07)
1.03
(1.02, 10.5)
1.03
(1.02, 1.04)
1.14
(1.12, 1.16)
1.13
(1.11, 1.15)
1.12
(1.10, 1.14)
1.10
(1.09, 1.12)
1.09
(1.07, 1.11)
1.06
(1.05, 10.8)
1.04
(1.03, 1.06)
1.03
(1.02, 1.05)
1.17
(1.14, 1.19)
1.15
(1.13, 1.17)
1.14
(1.12,1.16)
1.12
(1.10, 1.15)
1.11
(1.09, 1.13)
1.08
(1.06, 1.10)
1.05
(1.03, 1.07)
1.04
(1.02, 1.06)
1.19
(1.16,1.22)
1.17
(1.15, 1.20)
1.16
(1.14, 1.19)
1.14
(1.12, 1.17)
1.13
(1.10, 1.15)
1.09
(1.07, 1.11)
1.05
(1.04, 1.08)
1.05
(1.03, 1.07)
1.38
(1.33,1.44)
1.35
(1.30, 1.40)
1.33
(1.28, 1.38)
1.29
(1.24, 1.34)
1.25
(1.21, 1.31)
1.18
(1.14, 1.23)
1.11
(1.08, 1.12)
1.10
(1.06, 1.15)
SD = standard deviation, d = dose per fraction (Gy), LET = linear energy transfer (keV.μm−1).
1.72
(1.63, 1.82)
1.66
(1.57, 1.75)
1.62
(1.53, 1.71)
1.54
(1.46, 1.64)
1.48
(1.41, 1.58)
1.35
(1.28, 1.44)
1.22
(1.15, 1.31)
1.19
(1.12, 1.28)
Table 9.2. α/β = 3 Gy: general normal tissue late effects with mean α = 0.07 Gy−1(SD = 0.02).
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 1.25
d = 1.5
d = 1.8
d = 2
1.12
(1.10, 1.13)
1.11
(1.09, 1.12)
1.10
(1.09, 1.11)
1.09
(1.08, 1.11)
1.15
(1.13, 1.17)
1.14
(1.12, 1.16)
1.13
(1.11, 1.15)
1.12
(1.11, 1.14)
1.19
(1.17, 1.21)
1.18
(1.15, 1.20)
1.16
(1.14, 1.18)
1.15
(1.13, 1.17)
1.23
(1.20, 1.25)
1.21
(1.18, 1.23)
1.19
(1.17, 1.22)
1.18
(1.16, 1.20)
1.26
(1.23, 1.29)
1.24
(1.21, 1.27)
1.22
(1.19, 1.25)
1.21
(1.18, 1.24)
1.52
(1.46, 1.58)
1.48
(1.42, 1.54)
1.44
(1.39, 1.50)
1.42,
(1.37, 1.47)
1.98
(1.88, 2.09)
1.91
(1.80, 2.01)
1.83
(1.73, 1.93)
1.79
(1.69, 1.88)
(Continued)
9-7

Quantitative Radiobiology for Proton Therapy
Table 9.2. (Continued )
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 2.5
1.08
(1.07, 1.10)
1.11
(1.09, 1.13)
1.14
(1.12, 1.16)
1.16
(1.14, 1.18)
1.19
(1.16, 1.21)
1.37
(1.32, 1.43)
1.70
(1.61, 1.79)
d = 3
d = 5
d = 10
d = 12.5
1.08
(1.06, 1.09)
1.06
(1.05, 1.07)
1.04
(1.03, 1.05)
1.03
(1.02, 1.04)
1.10
(1.08, 1.11)
1.07
(1.06, 1.09)
1.05
(1.04, 1.06)
1.04
(1.03, 1.05)
1.12
(1.10, 1.14)
1.09
(1.07, 1.10)
1.06
(1.04, 1.07)
1.05
(1.04, 1.07)
1.15
(1.12, 1.17)
1.11
(1.09, 1.13)
1.07
(1.05, 1.09)
1.06
(1.04, 1.08)
1.17
(1.14, 1.19)
1.13
(1.10, 1.50)
1.08
(1.06, 1.10)
1.07
(1.05, 1.09)
1.34
(1.29, 1.39)
1.25
(1.21, 1.30)
1.17
(1.13, 1.21)
1.15
(1.11, 1.19)
1.64
(1.55, 1.73)
1.48
(1.40, 1.56)
1.32
(1.25, 1.40)
1.28
(1.21, 1.36)
Table 9.3. α/β = 4.5 Gy: tumours with mean α = 0.275 Gy−1(SD = 0.0275).
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 1.25
d = 1.5
d = 1.8
1.09
(1.08, 1.10)
1.08
(1.07, 1.09)
1.08
(1.07, 1.09)
1.12
(1.10, 1.13)
1.11
(1.09, 1.12)
1.10
(1.09, 1.11)
1.14
(1.12, 1.16)
1.13
(1.11, 1.15)
1.12
(1.11, 1.14)
1.17
(1.15, 1.20)
1.16
(1.14, 1.18)
1.15
(1.13, 1.17)
1.20
(1.17, 1.23)
1.19
(1.16, 1.21)
1.17
(1.15, 1.19)
1.41
(1.35, 1.46)
1.38
(1.33, 1.43)
1.35
(1.30, 1.40)
1.79
(1.69, 1.89)
1.73
(1.64, 1.82)
1.68
(1.59, 1.76)
d = 2
d = 2.5
d
= 3
d = 5
d = 10
d = 12.5
1.07
(1.06, 1.08)
1.07
(1.06, 1.08)
1.06
(1.05, 1.07)
1.04
(1.03, 1.05)
1.03
(1.02, 1.03)
1.02
(1.02, 1.03)
1.10
(1.08, 1.11)
1.09
(1.07, 1.11)
1.08
(1.07, 1.09)
1.06
(1.05, 1.07)
1.03
(1.03, 1.04)
1.03
(1.02, 1.03)
1.12
(1.10, 1.14)
1.11
(1.09, 1.12)
1.10
(1.08, 1.11)
1.07
(1.06, 1.08)
1.04
(1.03, 1.05)
1.03
(1.03, 1.04)
1.14
(1.12. 1.16)
1.13
(1.11, 1.14)
1.11
(1.10, 1.13)
1.08
(1.07, 1.10)
1.05
(1.04, 1.06)
1.04
(1.03, 1.05)
9-8
1.16
(1.14, 1.19)
1.15
(1.12, 1.17)
1.13
(1.11, 1.15)
1.10
(1.08, 1.11)
1.06
(1.04, 1.07)
1.05
(1.04, 1.06)
1.33
(1.29, 1.38)
1.30
(1.26, 1.34)
1.27
(1,23, 1.31)
1.20
(1.17, 1.23)
1.12
(1.09, 1.14)
1.10
(1.08, 1.12)
1.64
(1.56, 1.73)
1.58
(1.50, 1.65)
1.52
(1.49, 1.59)
1.38
(1.33, 1.44)
1.23
(1.19, 1.28)
1.19
(1.15, 1.23)

Quantitative Radiobiology for Proton Therapy
Table 9.4. α/β = 10 Gy: moderately radiosensitive tumours with mean α = 0.375 Gy−1(SD = 0.0375).
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 1.25
1.09
(1.8, 1.11)
1.12
(1.10, 1.14)
1.15
(1.13, 1.18)
1.18
(1.15, 1.21)
1.21
(1.18, 1.25)
1.44
(1.37, 1.51)
1.87
(1.73, 2.01)
d = 1.5
d = 1.8
d = 2
d = 2.5
= 3
d
d = 5
d = 10
d = 12.5
1.09
(1.07, 1.11)
1.09
(1.07, 1.10)
1.08
(1.07, 1.10)
1.08
(1.07, 1.09)
1.07
(1.06, 1.09)
1.06
(1.05, 1.07)
1.04
(1.03, 1.05)
1.04
(1.03, 1.04)
1.12
(1.11, 1.14)
1.11
(1.09, 1.13)
1.11
(1.09, 1.13)
1.09
(1.10, 1.12)
1.10
(1.08, 1.11)
1.08
(1.06, 1.09)
1.05
(1.04, 1.07)
1.05
(1.04, 1.06)
1.15
(1.12, 1.17)
1.14
(1.12, 1.16)
1.14
(1.11, 1.16)
1.13
(1.11, 1.15)
1.12
(1.10, 1.14)
1.10
(1.08, 1.11)
1.07
(1.05, 1.08)
1.06
(1.05, 1.07)
1.18
(1.15, 1.21)
1.17
(1.14, 1.20)
1.16
(1.14, 1.19)
1.15
(1.13, 1.18)
1.14
(1.12, 1.17)
1.12
(1.10, 1.14)
1.08
(1.06, 1.10)
1.07
(1.06, 1.08)
1.20
(1.17, 1.24)
1.19
(1.16, 1.23)
1.19
(1.16, 1.22)
1.18
(1.15, 1.20)
1.17
(1.14, 1.20)
1.13
(1.11, 1.16)
1.09
(1.08, 1.11)
1.08
(1.06, 1.10)
1.42
(1.35, 1.49)
1.40
(1.34, 1.47)
1.39
(1.33, 1.45)
1.36
(1.30, 1.42)
1.34
(1.28, 1.40)
1.28
(1.23, 1.32)
1.19
(1.16, 1.23)
1.17
(1.14, 1.20)
1.83
(1.70, 1.96)
1.79
(1.66, 1.92)
1.76
(1.64, 1.89)
1.71
(1.60, 1.82)
1.66
(1.55, 1.77)
1.54
(1.45, 1.62)
1.37
(1.30, 1.44)
1.33
(1.27, 1.39)
Table 9.5. α/β = 25 Gy: very radiosensitive tumours with mean α = 0.55 Gy−1(SD = 0.055).
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 1.25
d = 1.5
d = 1.8
d = 2
1.08
(1.06, 1.10)
1.08
(1.06, 1.10)
1.08
(1.06, 1.09)
1.08
(1.06, 1.09)
1.10
(1.08, 1.13)
1.10
(1.08, 1.13)
1.10
(1.08, 1.12)
1.10
(1.08, 1.12)
1.13
(1.10, 1.16)
1.13
(1.10, 1.16)
1.13
(1.10, 1.15)
1.12
(1.10, 1.15)
1.15
(1.12, 1.19)
1.15
(1.12, 1.19)
1.15
(1.12, 1.18)
1.15
(1.11, 1.18)
1.18
(1.14, 1.22)
1.18
(1.14, 1.22)
1.17
(1.14, 1.21)
1.17
(1.13, 1.21)
1.38
(1.30, 1.47)
1.37
(1.29, 1.46)
1.37
(1.29, 1.45)
1.36
(1.28, 1.44)
1.77
(1.60–1.94)
1.75
(1.59, 1.92)
1.73
(1.58, 1.90)
1.72
(1.57, 1.88)
(Continued)
9-9

Quantitative Radiobiology for Proton Therapy
Table 9.5. (Continued )
Dose (Gy) LET = 1 LET = 1.25 LET = 1.5 LET = 1.75 LET = 2.0 LET = 4.0 LET = 8.0
d = 2.5
1.07
(1.06, 1.09)
1.10
(1.08, 1.12)
1.12
(1.09, 1.15)
1.14
(1.11, 1.18)
1.17
(1.13, 1.20)
1.35
(1.27, 1.43)
1.69
(1.55, 1.85)
d = 3
d = 5
d = 10
d = 12.5
1.07
(1.06, 1.09)
1.06
(1.05, 1.08)
1.05
(1.04, 1.06)
1.05
(1.04, 1.06)
1.09
(1.07, 1.12)
1.08
(1.07, 1.10)
1.07
(1.05, 1.08)
1.06
(1.05, 1.08)
1.12
(1.09, 1.14)
1.10
(1.08, 1.13)
1.08
(1.07, 1.10)
1.08
(1.06, 1.10)
1.14
(1.11, 1.17)
1.12
(1.10, 1.15)
1.10
(1.08, 1.12)
1.09
(1.07, 1.11)
1.16
(1.13, 1.20)
1.14
(1.11, 1.18)
1.12
(1.09, 1.14)
1.11
(1.08, 1.13)
1.34
(1.26, 1.41)
1.30
(1.24, 1.37)
1.24
(1.19, 1.30)
1.22
(1.17, 1.27)
1.67
(1.53, 1.82)
1.59
(1.47, 1.72)
1.47
(1.38, 1.58)
1.44
(1.35, 1.53)
The steps taken to estim ate the RBE are as follows. The RBE calc ulat ion is
based on the following scaling approach, an extension of the approach taken by
Wilkens & Oelfke (2004)asinJones(2015b, 2017), which includes the relevant
parameters:
−
x
HL
bb bb=+
HL
LET LET
LET LET
LET LET
LET LET
aaa=+
−
U
−
x
−
U
C
−
.,
UL
c
C
−
..
UL
c
With LETU, the slope of α and β with LET is found from the maximum
radiosensitivity values:
U
(
a=−−/Qj j L1exp. ,
[]
)
and
bb=−−/Ru u L.1 exp .
()(
U
[]
)
If LETUis not known, then use the highest available LET (let this be LETS, and use
this to replace LET
then replace α
RBE is obtained by solving for d
α
+ βLd
LdL
, provided the radiosensitivity values at LETSare known, which
U
and βU).
U
in the general isoeffect equation:
2
= αHdH+ βHd
L
aaab bb
−+ + +dd
=
BE
L
2
, and then dividing by the dHto give
H
22
L
44
L
()
LH H L
H
b
d
2.
LH
H
.
9-10

Quantitative Radiobiology for Proton Therapy
As an alternative to these tables, and with greater flexibility in terms of input
parameter choices, as well as allowing LET and dose per fraction values on a
continuous scale rather than discrete values, the graphical user interface used in the
previous chapter 8 can be modified for estimating proton RBEs and for isoeffective
dose calculations (figure 9.3 and tables 9.1–9.4).
These tabulated estimates and those in figures 9.3(a)–(e) all show increasing RBE
with LET and an inverse relationship between RBE and dose per fraction. Greater
complexity is introduced by varying the α/β ratios. It again can be seen that
increases in LET above, say, 1.5 keV μm
−1
can be accompanied by significant
increments in RBE. The lowest α/β ratio systems give the largest RBE at near-zero
dose, but then the values fall sharply, the rate of change depending on α/β. High-α/β
systems have much flatter curves, showing less variation in RBE with dose per
fraction. The curves cross over such that larger RBE values can exist for systems
with high α/β ratios compared with low α/β ratios when dose per fraction is
sufficiently large; it is important to note that the lowest RBE values then occur in the
most fraction-sensitive tissues, suggesting that high dose per fraction can be
relatively protective. This is because of enhanced repair capacity and fraction
sensitivity in the case of low α/β ratios for the photon (numerator) part of the RBE
definition and the converse for the high-LET denominator dose. Also, cells with low
α/β, with the highest RBE
, will asymptotically approach RBE
max
with dose at a
min
faster rate owing to the higher proportion of β-related cell killing than in cells where
α/β is high.
Many of the RBE values shown exceed the conventional value of 1.1. Of
particular concern is that for low-α/β systems such as brain spinal cord and late
reactions, the RBE values are highest when dose per fraction is small. This finding
represents a warning to clinicians, who should consider either using a suitably
modified RBE or changing the tolerance of key organs at risk in such situations.
Recognition of changes of RBE with tissue and tumour α/β ratios, and appropriate
use of these ratios to the clinical setting will be important in PBT.
The method of estimation has assumed firm knowledge of the LET
value for
U
protons. The sensitivity of this value is considered in chapter 14. Should the slope of
the radiosensitivities, or RBE, with increasing LET be known by experiment or
clinical data, it would be possible to estimate the RBE more directly, as mentioned
in chapter 8 (section 3.5). Without such data, the more generic method has to be
pursued, or alternative approaches based on the low-LET α/β ratio, although such a
method may incur some inaccuracies for high dose per fraction if β is assumed to be
invariant with LET.
9.4 RBE graphical examples
Interactive graphics for respectively estimating proton RBE with dose per fraction
and for estimating the degree of normal tissue sparing required for a defined BED
isoeffect for different LET values are given in figures 9.4 and 9.5.
By solving for clinically relevant isoeffects (50 Gy in 25 fractions for spinal
cord and optic chiasm, etc., and 60 Gy in 30 fractions for cortical brain) in the
9-11

Quantitative Radiobiology for Proton Therapy
Figure 9.4. RBE as a function of proton physical dose, dhi. The dashed line highlights a constant value of
RBE = 1.1. The orange point on the RBE curve corresponds to the respective RBE value for a given dose,
shown with a default d
https://josh-will-moore.shinyapps.io/InteractivePlots_Jones_IOP/, where input variable may be changed on the
relevant cursors. Credit: Joshua Moore.
= 2 Gy here. For a fully interactive version of this figure can be found at the link
hi
Figure 9.5. The relationship of the central nervous system biological effective dose (for BED values
appropriate for spinal cord, optic chiasm and brain stem tolerances) and the degree of proton-beam normal
tissue sparing with variable operative LET values. The three horizontal lines show BED levels of 100, 90 and
80 Gy[2], in order to represent different levels of CNS tissue radiotolerance according to medical histories.
Higher tolerance levels are sometimes permitted for small irradiated volumes according to local protocols. For
a fully interactive version of this figure, see
Credit: Joshua Moore.
https://josh-will-moore.shinyapps.io/InteractivePlots_Jones_IOP/.
biological effective dose (BED) equations with LET-RBE effects included (see
chapter 6), the total doses required to maintain each isoeffect are given in
figures 9.6(a) and (b), respectively.
9-12
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