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Radiobiological Aspects of
Radiotherapy Precision
Prof Amin E AAmin
Professor of Medical Physics
Radiation Oncology Department
Faculty of Medicine
Ain Shams University
&
Dean of Higher Institute of Optics Technology
Introduction
In the last few decades, technical and scientific
improvements in radiotherapy (RT) have continuously
occurred, allowing accurate delivery of the ionizing
radiation dose, i.e. more precise dose to the tumor while
progressively reducing unwanted dose to surrounding
normal tissues.
Modern RT Modalities
ā€¢ Over recent years, new RT modalities, such as IMRT,
IGRT, VMAT, ART and hadron RT have developed and
are available in many centers all over the world.
ā€¢ In parallel with these technological advances, new
developments have taken place in radiobiology,
concerning the understanding of cancer biology in
general, and the radiation response in particular.
Precision Radiotherapy
ā€¢ Such technical and scientific advances have provided the
capability to personalize treatments for accurate delivery of
radiation dose based on clinical parameters and anatomical
information.
ā€¢ Thus Radiation oncology has now entered the ā€˜precision
radiotherapyā€™ era, where the dose to the tumor is allowed to be
increased to levels that would be unachievable without precise
targeting.
Lack of Survival Improvement
ā€¢ However, the level I evidence of a survival improvement is
still lacking. Only a few randomized trials have validated the
benefit of modern irradiation techniques for improving the
therapeutic index (Chargary et al, 2016).
Dose Response Curve
Dose-response curves
determine how much of
radiation dose (X-axis)
causes a particular effect, or
a side effect, in the body (Y-
axis). The dose response
curve has a sigmoid (S)
shape
Therapeutic Window
Strategies in Radiotherapy
ā€¢ Two major strategies, acting synergistically, will enable further
widening of the therapeutic window of radiation oncology in the
era of precision medicine:
ā€“technology-driven improvement of treatment conformity,
(including advanced image guidance and particle therapy)
ā€“novel biological concepts for personalized treatment,
(including biomarker-guided prescription, combined treatment
modalities and adaptation of treatment during its course)
(Baumann et al, 2016).
Strategy in Radiotherapy
ā€¢ RT requires a reasonable treatment strategy to gain the best
clinical outcome.
ā€¢ The optimization of the radiation treatment planning
includes the dose-fractionation and radiation protection of
the normal tissue.
Strategy in RT
ā€¢ The aim is to obtain a
differential effect of radiation on
tumor and normal tissue..
ā€¢ Dose response curves for tumors
and normal tissues have to be
considered.
ā€¢ A characteristic sigmoid
relationship was observed for
both tumor and normal tissue.
Dose Effect Curves: TCP & NTCP
ā€¢ At low doses virtually no tumor is
controlled.
ā€¢ Above a threshold dose TCP
increases with dose.
ā€¢ Theoretically, at sufficiently high
doses, 100% TCP may be achieved.
ā€¢ However, with increasing dose
NTCP increases as well.
ā€¢ For a typical good RT treatment,
TCP ā‰„ 50% and NTCP < 5%.
TCP = Tumour Control
Probability
NTCP = Normal Tissue
Complications Probability
11
Uncomplicated Tumor Control
ā€¢ The dose to the tumour is limited by what can be tolerated by the
most at-risk normal tissue.
ā€¢ The probability to achieve tumor control without
complications can be calculated:
UCP = TCP*(1-NTCP)
ā€¢ The ā€˜uncomplicated tumour controlā€™
follows a bell-shaped curve.
Uncomplicated Tumor Control
ā€¢ Once the optimum dose is
established, further
improvements in UCP can only
be achieved by either moving
the TCP curve to lower doses,
or the NTCP curve to higher
doses; the latter is the objective
of hyperfractionated schedules
Uncomplicated Tumor Control
ā€¢ Conformal RT is another
option currently used in dose
escalation protocols, reducing
the volume of normal tissue
irradiated to high dose and
therefore also the probability
of late normal-tissue
damage.
Radiobiological Optimization
ā€¢ Unconventional irradiation schedules are supposed to exploit
radiobiological differences between tumor and normal tissue.
ā€¢ This would yield further separation of the curves of TCP and
NTCP, thus leading to a higher maximum for the uncomplicated
control rate.
ā€¢ It is even likely that the expected improvements from technical
innovations will reach a limit, and the next breakthroughs will
come from biological innovations, such as the application of
molecularly targeted drugs in combination with high-precision
methods to deliver radiation.
Accuracy in Radiotherapy
ā€¢ To achieve a good clinical outcome a certain accuracy in the
dose delivered to patient is required.
ā€¢ On the other hand, from the prescription to the delivery of RT
treatment, a team of professionals from a number of disciplines
is involved in a large number of steps.
ā€¢ Moreover, a treatment is usually delivered with 10 to 40
fractions, each requiring a large number of machine and patient
parameters to be set up by the RT technologist.
Accuracy in Radiotherapy
ā€¢ Based on these considerations, it is apparent that there
is a significant potential for errors and uncertainties,
leading to an actual exposure different from the
prescribed one.
Accuracy And Precision
ā€¢ Accuracy: is the closeness of the measured value to the true
value.
ā€¢ Precision: is the closeness of measurement from one another.
Accuracy And Precision
Accuracy
ā€¢ Accuracy is the closeness of
agreement between a measured
quantity and its ā€œtrue value.ā€
Error
ā€¢ Error is the difference between the
measured quantity and its reference
value.
ā€¢ Note that error in this context is not
to be confused with a production
error or mistake.
ā€¢ In the radiation oncology context,
however, the word ā€œerrorā€ tends to
be used for both measurement errors
and mistakes.
Systematic Error
ā€¢ Systematic error is a set of results of measurements that
deviate by a consistent amount from the true value of the
measurement.
ā€¢ Once a systematic error is known, a correction can be applied
to compensate for it.
ā€¢ Example: Calibration Error
Random Error
ā€¢ Random error occurs when the same measurement is
performed repeatedly and the resulting variations lead to the
measurable values being inconsistent.
ā€¢ Example: Setup error.
Uncertainty
ā€¢ Uncertainty is a parameter that
characterizes the dispersion of values
that can be obtained for a particular
measurement when it is performed
repeatedly.
ā€¢ For such repeated measurements, the
results can be represented by a statistical
distribution, which can be summarized
by specific statistical quantities such as
mean, mode, standard dƩviation, and
variance.
Required dose accuracy based on
clinical response: ICRU 24
ā€¢ In 1976 ICRU Report 24 reviewed the limited information at
that time, analysing the clinical evidence of various studies. It
concluded that:
ā€¢ Ā«although it is too early to generalize, the available evidence
for
certain tumors points to the need of an accuracy of
Ā± 5%
ā€¢ in the delivery of an absorbed dose to a target volume if the
eradication of the primary tumor is sought.
Required dose accuracy based on
clinical response: ICRU 24
Some clinicians have requested even closer limits such as Ā±2%,
but at the present time it is virtually impossible to achieve such
a standard.Ā»
Required Accuracy Based On Clinical
Response
ā€¢ The steepness of the given
TCP/NTCP curve vs dose defines the
change in response expected for a
given change in delivered dose.
ā€¢ Thus uncertainties in delivered dose
translate into either reductions in
TCP or increase in NTCP from the
optimised expected values, both of
which worsen the clinical outcome.
Required Accuracy Based On Clinical
Response
ā€¢ Uncertainties in setup may translate
into both reductions in TCP and
increase in NTCP from the optimised
expected values.
Required Accuracy Based On Clinical
Response
ā€¢ The accuracy requirementsare
defined by the steepest curves,
observed for normal tissue or
tumours.
ā€¢ At the steepest parts of the dose
response curves, and for the steepest
curves, 5% changes in dose can
produce 10-20% changes in TCP and
20-30% changes in NTCP.
Required accuracy based on NTCP
ā€¢ Mijnheer et al (1987) considered the steepness of NTCP
curves in terms of the % increase in absorbed dose to
produce a change in the NTCP from 25% to 50% ( 25/50).
ā€¢ A representative value of 7% was taken for this relative
gradient.
ā€¢ This was assigned to the 2 st.dev. level, resulting in a value
of
3.5% as one relative st.dev.
ā€¢ as the general accuracy requirement on absorbed dose
delivery.
Required Accuracy Based On Clinical
Response: TCP
ā€¢ Effects of dose variation on TCP were
considered by Brahme et al (1988), showing
that the most critical loss in TCP introduced
by dosimetric inaccuracy is found at the
highest level of TCP.
ā€¢ A general figure of;
3% (relative st.dev.)
on the delivered absorbed doseto the patient
was recommended as the tolerance level on
accuracy in dose delivery, in order to keep
variations in the TCP within acceptable limits.
Required Accuracy Based On
Clinical Response
ā€¢ Thus overall a figure of 3% can be taken as
a currently recommended general accuracy
requirement, being considered as one
relative st.dev., on the value of the dose
delivered to the patient at the dose
specification point.
ā€¢ This implies that there is a 95% probability
that changes will be clinically observable at
twice this level in situations described by
the steeper dose-effect relationship.
Required Accuracy Based On
Clinical Response
ā€¢ This is also consistent with
more anecdotal evidence on clinical
observations following inadvertent dose
changes due to dosimetric errors (Dutreix,
1984).
Accuracy, Precision, Error, Uncertainty
ā€¢ Accuracy is a measure of how close a result is to the Ā«true valueĀ».
ā€¢ Precision is a measure of the spread of indipendent determinations
of the result (generally determined as the st.dev. of the distribution
of the results).
ā€¢ Error is any deviation between the numerical value of a quantity
and its Ā«trueĀ» value.
ā€¢ Uncertainty is an estimate of the possible magnitude of the error.
Trueness
ā€¢ Trueness is the closeness of agreement between the average
value obtained from a large series of test results and the
accepted true value.
ā€¢ While sometimes trueness is referred to as ā€œaccuracy of the
mean,ā€ this usage is not recommended.
Accuracy /Uncertainty
ā€¢ Accuracy is an expression
of the lack of errors, both
random and systematic.
ā€¢ Uncertainty characterizes
the range of values within
which the true value is
asserted to lie with some
level of confidence.
Accuracy /Uncertainty
ā€¢ The upper left quadrant shows large random
error.
ā€¢ The upper right quadrant shows small
random error.
ā€¢ The lower left shows both large systematic
error and large random error.
ā€¢ The lower right demonstrates a large
systematic error (or bias) with a small random
error.
ā€¢ With increasing trueness and increasing
precision, there is an increase in accuracy and
a decrease in uncertainty.
Geometrical Accuracy
ā€¢ In RT, geometric uncertainties translate
to dosimetric uncertainties.
ā€¢ Geometric uncertainties arise from:
ā€“treatment machine specifications
and tolerances,
ā€“simulation and treatment set-up,
ā€“patient or organ movement during
treatment,
ā€“changes of patient shape between
fractions.
38
Geometrical Accuracy
ā€¢ In general appropriate margins are
defined around the target volume to
allow for these uncertainties, so it is
difficult to find definitive data on
the effect of inaccuracies.
ā€¢ Geometric miss of tumor/target will
obviously decrease TCP, whilst
overlap of fields with adjacent
normal structures, particularly
critical organs, will be detrimental in
terms of NTCP. 39
Geometrical Accuracy
ā€¢ Conventional approaches to this have been to model the effects of
overlap onto organs at risk or reduced coverage of target volume
or to consider the various sources of uncertainty, combine them to
give an overall value
ā€¢ On this basis, the AAPM TG 24 (1984) arrived at a figure
corresponding to
5 mm, one s.d.
40
Geometrical Accuracy
ā€¢ Mijnheer et al (1987) considered a wider set of data and
edges and recommended an accuracy of positioning of
field shielding edges of
4 mm, one s.d.
relative to expected anatomy.
41
Geometrical accuracy
ā€¢ However this approach no longer holds so clearly for newer technology/
techniques:
1. geometric uncertainties now affect dose distribution within the target
volume for IMRT and not just at the volume edges or interfaces to organs
at risk;
2. IGRT, adaptive techniques and motion management techniques have
provided the facility to reduce the uncertainties significantly as compared
to conventional approaches;
3. the desire to dose-escalate based on these techniques demands greater
attention be paid to reducing margins on the boundary between PTV and
Organs at Risk , but also taking care not to compromise on TCP.
24
Geometrical accuracy
ā€¢ The figure for evidence based geometric
precision requirements ranges from sub-mm for
the most critical stereotactic cranial treatments to
2-4 mm
For other treatments, where the latter is dependent
on the site and whether IGRT-based methods are
being used.
Geometrical Accuracy
ā€¢ For geometric effects on dosimetry within target volumes for
IMRT, the recommended tolerances may be considered to be
those given for MLC performance in recommendations for
IMRT system QA and verification, ie typically
1 mm or less.
Required accuracy vs overall uncertainty
ā€¢ The 3% figure is a limit on the overall uncertainty, i.e.
the sum of both random and systematic uncertainties.
ā€¢ Moreover, it is on the final dose delivered to the
patient!
ā€¢ To achieve this final value recommended, the
accuracy requirement on each part of the whole RT
process must be significantly less than the overall
recommendation.
45
RT A Complex Specialty
ā€¢ Each step of the process of radiation treatment involves
uncertainties which may compromise the potential advantages of the
new technologies.
ā€¢ Therefore, it is important not only to have a quantitative
understanding of uncertainties, but also to consider the propagation
of these uncertainties as part of the entire treatment optimization
process.
ā€¢ Ideally, we would all have a clear understanding of the levels of
accuracy and uncertainties that exist in our facility for each
treatment technique.
46
Sources Of Uncertainty In The
RT Process
ā€¢ Two major categories:
ā€“ human-related (patient or personnel) uncertainties
ā€“ technology or dose related uncertainties.
47
Human-Related Uncertainties
ā€¢ Human-related uncertainties can be analyzed
by considering the radiation therapy process
from a patientā€™s perspective (i.e., patientā€™s-eye
view)
48
Technology-Related Uncertainties
ā€¢ Technology-related uncertainties can be addressed by
considering a machine perspective (i.e., machineā€™s-
eye view), including dosimetry, commissioning, and
quality control processes.
Sources Of Uncertainty
In The RT Process
What Accuracy Is Achievable In
3DCRT ?
ā€¢ Each major step (eg. absorbed dose to a reference point in
water, measurement of relative doses and set up of the
treatment planning systems, treatment planning and
treatment delivery to the patient) has been broken down into
sub-steps and best estimates of uncertainty have been
assigned at each level for each contributing factor.
What Accuracy Is Achievable In
3DCRT ?
ā€¢ The overall estimated cumulative uncertainties obtained have
ranged from 2.5- 8.5%, as one effective st.dev. (Van Dyk).
ā€¢ A figure of
5%
(sd) might be representative of these types of estimates, with
smaller uncertainties for simpler treatments and larger for
more complex.
Accuracy Achievable In 3DCRT
ā€¢ More recently, uncertainty estimates based on harder evidence
from intercomparisons, audits and in vivo dosimetry have been
made for external beam MV x-ray treatments, following UK
procedures and dosimetry protocols.
ā€¢ The overall cumulative uncertainties at the specification point
are within, or close to, the recommended required values of
3% (1 sd)
i.e. the clinical evidence-based requirements can be met on the
experimental evidence available.
Accuracy achievable in IMRT
ā€¢ The growing evidence from IMRT studies and the
growing experience and expertise indicate that almost
the same levels of uncertainties as in 3DCRT ought to be
achievable for IMRT.
ā€¢ Thus it is concluded that those earlier estimates of
achievable dosimetric accuracy are still applicable,
despite the advances in technology and techniques.
Conclusions on Required Accuracy
ā€¢ Tumour control and normal tissue complications make strong
demands on accuracy and precision of the delivered treatment.
ā€¢ Clinically-based accuracy requirements have not significantly
changed since 1980ā€™s, although a greater emphasis on high-
precision delivery methods, including Stereotactic RT, and on
IMRT has focused attention on reducing geometric
uncertainties.
ā€¢ At the same time the growing use of high-dose-per-fraction
hypofractionated treatments, with steeper effective dose-
response curves, may imply stricter dose and geometry
requirements in these situations.
Conclusions: Need of a Quality System
ā€¢ The accuracies and uncertainties presented here should be
achievable, but require optimal approaches throughout,
including
āž¢ comprehensive quality systems;
āž¢ attention to detail;
āž¢ safety, quality and accuracy cultures in RT departments;
āž¢ continuing awareness.
ā€¢ Practical, accurate, precise dosimeters and dosimetry
systems are required to keep pace with the evolving
complexity of technology and RT methods, for IMRT, small
fields, 4D applications, etc.
Conclusions: Accuracy & Advanced
Techniques
ā€¢ The more complex the treatments, the greater the potential for
problems, so RT must be conducted within a consistent and
sustainable quality framework.
ā€¢ Maintaining and improving dosimetric and geometric accuracy is
the key to gain improvements from advancing technology and
techniques.
ā€¢ Outcomes may well be better from high-quality simpler techniques
than poorly controlled poor-accuracy advanced techniques.
ā€¢ Newer techniques are to be implemented in a high quality, safety
and accuracy environment to achieve both high precision and high
accuracy for all patients.
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Radiobiological aspects of radiotherapy precision

  • 1. Radiobiological Aspects of Radiotherapy Precision Prof Amin E AAmin Professor of Medical Physics Radiation Oncology Department Faculty of Medicine Ain Shams University & Dean of Higher Institute of Optics Technology
  • 2. Introduction In the last few decades, technical and scientific improvements in radiotherapy (RT) have continuously occurred, allowing accurate delivery of the ionizing radiation dose, i.e. more precise dose to the tumor while progressively reducing unwanted dose to surrounding normal tissues.
  • 3. Modern RT Modalities ā€¢ Over recent years, new RT modalities, such as IMRT, IGRT, VMAT, ART and hadron RT have developed and are available in many centers all over the world. ā€¢ In parallel with these technological advances, new developments have taken place in radiobiology, concerning the understanding of cancer biology in general, and the radiation response in particular.
  • 4. Precision Radiotherapy ā€¢ Such technical and scientific advances have provided the capability to personalize treatments for accurate delivery of radiation dose based on clinical parameters and anatomical information. ā€¢ Thus Radiation oncology has now entered the ā€˜precision radiotherapyā€™ era, where the dose to the tumor is allowed to be increased to levels that would be unachievable without precise targeting.
  • 5. Lack of Survival Improvement ā€¢ However, the level I evidence of a survival improvement is still lacking. Only a few randomized trials have validated the benefit of modern irradiation techniques for improving the therapeutic index (Chargary et al, 2016).
  • 6. Dose Response Curve Dose-response curves determine how much of radiation dose (X-axis) causes a particular effect, or a side effect, in the body (Y- axis). The dose response curve has a sigmoid (S) shape
  • 8. Strategies in Radiotherapy ā€¢ Two major strategies, acting synergistically, will enable further widening of the therapeutic window of radiation oncology in the era of precision medicine: ā€“technology-driven improvement of treatment conformity, (including advanced image guidance and particle therapy) ā€“novel biological concepts for personalized treatment, (including biomarker-guided prescription, combined treatment modalities and adaptation of treatment during its course) (Baumann et al, 2016).
  • 9. Strategy in Radiotherapy ā€¢ RT requires a reasonable treatment strategy to gain the best clinical outcome. ā€¢ The optimization of the radiation treatment planning includes the dose-fractionation and radiation protection of the normal tissue.
  • 10. Strategy in RT ā€¢ The aim is to obtain a differential effect of radiation on tumor and normal tissue.. ā€¢ Dose response curves for tumors and normal tissues have to be considered. ā€¢ A characteristic sigmoid relationship was observed for both tumor and normal tissue.
  • 11. Dose Effect Curves: TCP & NTCP ā€¢ At low doses virtually no tumor is controlled. ā€¢ Above a threshold dose TCP increases with dose. ā€¢ Theoretically, at sufficiently high doses, 100% TCP may be achieved. ā€¢ However, with increasing dose NTCP increases as well. ā€¢ For a typical good RT treatment, TCP ā‰„ 50% and NTCP < 5%. TCP = Tumour Control Probability NTCP = Normal Tissue Complications Probability 11
  • 12. Uncomplicated Tumor Control ā€¢ The dose to the tumour is limited by what can be tolerated by the most at-risk normal tissue. ā€¢ The probability to achieve tumor control without complications can be calculated: UCP = TCP*(1-NTCP) ā€¢ The ā€˜uncomplicated tumour controlā€™ follows a bell-shaped curve.
  • 13. Uncomplicated Tumor Control ā€¢ Once the optimum dose is established, further improvements in UCP can only be achieved by either moving the TCP curve to lower doses, or the NTCP curve to higher doses; the latter is the objective of hyperfractionated schedules
  • 14. Uncomplicated Tumor Control ā€¢ Conformal RT is another option currently used in dose escalation protocols, reducing the volume of normal tissue irradiated to high dose and therefore also the probability of late normal-tissue damage.
  • 15. Radiobiological Optimization ā€¢ Unconventional irradiation schedules are supposed to exploit radiobiological differences between tumor and normal tissue. ā€¢ This would yield further separation of the curves of TCP and NTCP, thus leading to a higher maximum for the uncomplicated control rate. ā€¢ It is even likely that the expected improvements from technical innovations will reach a limit, and the next breakthroughs will come from biological innovations, such as the application of molecularly targeted drugs in combination with high-precision methods to deliver radiation.
  • 16. Accuracy in Radiotherapy ā€¢ To achieve a good clinical outcome a certain accuracy in the dose delivered to patient is required. ā€¢ On the other hand, from the prescription to the delivery of RT treatment, a team of professionals from a number of disciplines is involved in a large number of steps. ā€¢ Moreover, a treatment is usually delivered with 10 to 40 fractions, each requiring a large number of machine and patient parameters to be set up by the RT technologist.
  • 17. Accuracy in Radiotherapy ā€¢ Based on these considerations, it is apparent that there is a significant potential for errors and uncertainties, leading to an actual exposure different from the prescribed one.
  • 18. Accuracy And Precision ā€¢ Accuracy: is the closeness of the measured value to the true value. ā€¢ Precision: is the closeness of measurement from one another.
  • 20. Accuracy ā€¢ Accuracy is the closeness of agreement between a measured quantity and its ā€œtrue value.ā€
  • 21. Error ā€¢ Error is the difference between the measured quantity and its reference value. ā€¢ Note that error in this context is not to be confused with a production error or mistake. ā€¢ In the radiation oncology context, however, the word ā€œerrorā€ tends to be used for both measurement errors and mistakes.
  • 22. Systematic Error ā€¢ Systematic error is a set of results of measurements that deviate by a consistent amount from the true value of the measurement. ā€¢ Once a systematic error is known, a correction can be applied to compensate for it. ā€¢ Example: Calibration Error
  • 23. Random Error ā€¢ Random error occurs when the same measurement is performed repeatedly and the resulting variations lead to the measurable values being inconsistent. ā€¢ Example: Setup error.
  • 24. Uncertainty ā€¢ Uncertainty is a parameter that characterizes the dispersion of values that can be obtained for a particular measurement when it is performed repeatedly. ā€¢ For such repeated measurements, the results can be represented by a statistical distribution, which can be summarized by specific statistical quantities such as mean, mode, standard dĆ©viation, and variance.
  • 25. Required dose accuracy based on clinical response: ICRU 24 ā€¢ In 1976 ICRU Report 24 reviewed the limited information at that time, analysing the clinical evidence of various studies. It concluded that: ā€¢ Ā«although it is too early to generalize, the available evidence for certain tumors points to the need of an accuracy of Ā± 5% ā€¢ in the delivery of an absorbed dose to a target volume if the eradication of the primary tumor is sought.
  • 26. Required dose accuracy based on clinical response: ICRU 24 Some clinicians have requested even closer limits such as Ā±2%, but at the present time it is virtually impossible to achieve such a standard.Ā»
  • 27. Required Accuracy Based On Clinical Response ā€¢ The steepness of the given TCP/NTCP curve vs dose defines the change in response expected for a given change in delivered dose. ā€¢ Thus uncertainties in delivered dose translate into either reductions in TCP or increase in NTCP from the optimised expected values, both of which worsen the clinical outcome.
  • 28. Required Accuracy Based On Clinical Response ā€¢ Uncertainties in setup may translate into both reductions in TCP and increase in NTCP from the optimised expected values.
  • 29. Required Accuracy Based On Clinical Response ā€¢ The accuracy requirementsare defined by the steepest curves, observed for normal tissue or tumours. ā€¢ At the steepest parts of the dose response curves, and for the steepest curves, 5% changes in dose can produce 10-20% changes in TCP and 20-30% changes in NTCP.
  • 30. Required accuracy based on NTCP ā€¢ Mijnheer et al (1987) considered the steepness of NTCP curves in terms of the % increase in absorbed dose to produce a change in the NTCP from 25% to 50% ( 25/50). ā€¢ A representative value of 7% was taken for this relative gradient. ā€¢ This was assigned to the 2 st.dev. level, resulting in a value of 3.5% as one relative st.dev. ā€¢ as the general accuracy requirement on absorbed dose delivery.
  • 31. Required Accuracy Based On Clinical Response: TCP ā€¢ Effects of dose variation on TCP were considered by Brahme et al (1988), showing that the most critical loss in TCP introduced by dosimetric inaccuracy is found at the highest level of TCP. ā€¢ A general figure of; 3% (relative st.dev.) on the delivered absorbed doseto the patient was recommended as the tolerance level on accuracy in dose delivery, in order to keep variations in the TCP within acceptable limits.
  • 32. Required Accuracy Based On Clinical Response ā€¢ Thus overall a figure of 3% can be taken as a currently recommended general accuracy requirement, being considered as one relative st.dev., on the value of the dose delivered to the patient at the dose specification point. ā€¢ This implies that there is a 95% probability that changes will be clinically observable at twice this level in situations described by the steeper dose-effect relationship.
  • 33. Required Accuracy Based On Clinical Response ā€¢ This is also consistent with more anecdotal evidence on clinical observations following inadvertent dose changes due to dosimetric errors (Dutreix, 1984).
  • 34. Accuracy, Precision, Error, Uncertainty ā€¢ Accuracy is a measure of how close a result is to the Ā«true valueĀ». ā€¢ Precision is a measure of the spread of indipendent determinations of the result (generally determined as the st.dev. of the distribution of the results). ā€¢ Error is any deviation between the numerical value of a quantity and its Ā«trueĀ» value. ā€¢ Uncertainty is an estimate of the possible magnitude of the error.
  • 35. Trueness ā€¢ Trueness is the closeness of agreement between the average value obtained from a large series of test results and the accepted true value. ā€¢ While sometimes trueness is referred to as ā€œaccuracy of the mean,ā€ this usage is not recommended.
  • 36. Accuracy /Uncertainty ā€¢ Accuracy is an expression of the lack of errors, both random and systematic. ā€¢ Uncertainty characterizes the range of values within which the true value is asserted to lie with some level of confidence.
  • 37. Accuracy /Uncertainty ā€¢ The upper left quadrant shows large random error. ā€¢ The upper right quadrant shows small random error. ā€¢ The lower left shows both large systematic error and large random error. ā€¢ The lower right demonstrates a large systematic error (or bias) with a small random error. ā€¢ With increasing trueness and increasing precision, there is an increase in accuracy and a decrease in uncertainty.
  • 38. Geometrical Accuracy ā€¢ In RT, geometric uncertainties translate to dosimetric uncertainties. ā€¢ Geometric uncertainties arise from: ā€“treatment machine specifications and tolerances, ā€“simulation and treatment set-up, ā€“patient or organ movement during treatment, ā€“changes of patient shape between fractions. 38
  • 39. Geometrical Accuracy ā€¢ In general appropriate margins are defined around the target volume to allow for these uncertainties, so it is difficult to find definitive data on the effect of inaccuracies. ā€¢ Geometric miss of tumor/target will obviously decrease TCP, whilst overlap of fields with adjacent normal structures, particularly critical organs, will be detrimental in terms of NTCP. 39
  • 40. Geometrical Accuracy ā€¢ Conventional approaches to this have been to model the effects of overlap onto organs at risk or reduced coverage of target volume or to consider the various sources of uncertainty, combine them to give an overall value ā€¢ On this basis, the AAPM TG 24 (1984) arrived at a figure corresponding to 5 mm, one s.d. 40
  • 41. Geometrical Accuracy ā€¢ Mijnheer et al (1987) considered a wider set of data and edges and recommended an accuracy of positioning of field shielding edges of 4 mm, one s.d. relative to expected anatomy. 41
  • 42. Geometrical accuracy ā€¢ However this approach no longer holds so clearly for newer technology/ techniques: 1. geometric uncertainties now affect dose distribution within the target volume for IMRT and not just at the volume edges or interfaces to organs at risk; 2. IGRT, adaptive techniques and motion management techniques have provided the facility to reduce the uncertainties significantly as compared to conventional approaches; 3. the desire to dose-escalate based on these techniques demands greater attention be paid to reducing margins on the boundary between PTV and Organs at Risk , but also taking care not to compromise on TCP. 24
  • 43. Geometrical accuracy ā€¢ The figure for evidence based geometric precision requirements ranges from sub-mm for the most critical stereotactic cranial treatments to 2-4 mm For other treatments, where the latter is dependent on the site and whether IGRT-based methods are being used.
  • 44. Geometrical Accuracy ā€¢ For geometric effects on dosimetry within target volumes for IMRT, the recommended tolerances may be considered to be those given for MLC performance in recommendations for IMRT system QA and verification, ie typically 1 mm or less.
  • 45. Required accuracy vs overall uncertainty ā€¢ The 3% figure is a limit on the overall uncertainty, i.e. the sum of both random and systematic uncertainties. ā€¢ Moreover, it is on the final dose delivered to the patient! ā€¢ To achieve this final value recommended, the accuracy requirement on each part of the whole RT process must be significantly less than the overall recommendation. 45
  • 46. RT A Complex Specialty ā€¢ Each step of the process of radiation treatment involves uncertainties which may compromise the potential advantages of the new technologies. ā€¢ Therefore, it is important not only to have a quantitative understanding of uncertainties, but also to consider the propagation of these uncertainties as part of the entire treatment optimization process. ā€¢ Ideally, we would all have a clear understanding of the levels of accuracy and uncertainties that exist in our facility for each treatment technique. 46
  • 47. Sources Of Uncertainty In The RT Process ā€¢ Two major categories: ā€“ human-related (patient or personnel) uncertainties ā€“ technology or dose related uncertainties. 47
  • 48. Human-Related Uncertainties ā€¢ Human-related uncertainties can be analyzed by considering the radiation therapy process from a patientā€™s perspective (i.e., patientā€™s-eye view) 48
  • 49. Technology-Related Uncertainties ā€¢ Technology-related uncertainties can be addressed by considering a machine perspective (i.e., machineā€™s- eye view), including dosimetry, commissioning, and quality control processes.
  • 50. Sources Of Uncertainty In The RT Process
  • 51. What Accuracy Is Achievable In 3DCRT ? ā€¢ Each major step (eg. absorbed dose to a reference point in water, measurement of relative doses and set up of the treatment planning systems, treatment planning and treatment delivery to the patient) has been broken down into sub-steps and best estimates of uncertainty have been assigned at each level for each contributing factor.
  • 52. What Accuracy Is Achievable In 3DCRT ? ā€¢ The overall estimated cumulative uncertainties obtained have ranged from 2.5- 8.5%, as one effective st.dev. (Van Dyk). ā€¢ A figure of 5% (sd) might be representative of these types of estimates, with smaller uncertainties for simpler treatments and larger for more complex.
  • 53. Accuracy Achievable In 3DCRT ā€¢ More recently, uncertainty estimates based on harder evidence from intercomparisons, audits and in vivo dosimetry have been made for external beam MV x-ray treatments, following UK procedures and dosimetry protocols. ā€¢ The overall cumulative uncertainties at the specification point are within, or close to, the recommended required values of 3% (1 sd) i.e. the clinical evidence-based requirements can be met on the experimental evidence available.
  • 54. Accuracy achievable in IMRT ā€¢ The growing evidence from IMRT studies and the growing experience and expertise indicate that almost the same levels of uncertainties as in 3DCRT ought to be achievable for IMRT. ā€¢ Thus it is concluded that those earlier estimates of achievable dosimetric accuracy are still applicable, despite the advances in technology and techniques.
  • 55. Conclusions on Required Accuracy ā€¢ Tumour control and normal tissue complications make strong demands on accuracy and precision of the delivered treatment. ā€¢ Clinically-based accuracy requirements have not significantly changed since 1980ā€™s, although a greater emphasis on high- precision delivery methods, including Stereotactic RT, and on IMRT has focused attention on reducing geometric uncertainties. ā€¢ At the same time the growing use of high-dose-per-fraction hypofractionated treatments, with steeper effective dose- response curves, may imply stricter dose and geometry requirements in these situations.
  • 56. Conclusions: Need of a Quality System ā€¢ The accuracies and uncertainties presented here should be achievable, but require optimal approaches throughout, including āž¢ comprehensive quality systems; āž¢ attention to detail; āž¢ safety, quality and accuracy cultures in RT departments; āž¢ continuing awareness. ā€¢ Practical, accurate, precise dosimeters and dosimetry systems are required to keep pace with the evolving complexity of technology and RT methods, for IMRT, small fields, 4D applications, etc.
  • 57. Conclusions: Accuracy & Advanced Techniques ā€¢ The more complex the treatments, the greater the potential for problems, so RT must be conducted within a consistent and sustainable quality framework. ā€¢ Maintaining and improving dosimetric and geometric accuracy is the key to gain improvements from advancing technology and techniques. ā€¢ Outcomes may well be better from high-quality simpler techniques than poorly controlled poor-accuracy advanced techniques. ā€¢ Newer techniques are to be implemented in a high quality, safety and accuracy environment to achieve both high precision and high accuracy for all patients.