PTV margin for dose-escalated
radiation therapy of prostate
cancer with daily online
realignment using internal fiducial
markers: Monte Carlo approach
and dose population histogram
(DPH) analysis
Miao Zhang, Vitali Moiseenko, and Mitchell Liu
Department of Medical Physics, British Columbia Cancer Agency-Fraser Valley Centre, 13750 96th Avenue, Surrey, British Columbia V3V 1Z2 Canada
mzhang@bccancer.bc.caReceived 9 November 2005; accepted 22 March 2006
Using internal fiducial markers and electronic portal imaging (EPI) to realign patients has been shown to significantly reduce positioning uncertainties in prostate radiation treatment. This creates the possibility of decreasing the planning target volume (PTV) margin added on the clinical target volume (CTV), which in turn may allow for dose escalation. We compared the outcome of two plans: 70 Gy/35 fx, 10-mm PTV margin without patient realignment (Reference Plan) and 78 Gy/ 39 fx, 5-mm PTV margin with patient realignment (Escalated Plan). Four-fieldoblique (gantry angles 35°, 90°, 270°, 325°) beam arrangement was used. Monte Carlo code was used to simulate the daily organ motion. Dose to each organ was calculated. Tumor control probability (TCP) and the effective dose to critical organs (Deff) were calculated using the biologically normalized dose-volume histograms. By comparing the biological factors, we found that the prescription dose can be escalated to 78 Gy/39 fx with a 5-mm PTV margin when using internal fiducial markers and EPI. Based on the available dose-response data for intermediate risk prostate patients, this will result in a 20% increase of local control and significantly reduced rectal complications provided that less serial dose-volume behavior of rectum is proven.
PACS number: 87.50.-a
Key words: Patient realignment, organ motion simulation, prostate cancer dose escalation, dose-population histogram, biological factors
I. INTRODUCTION
Planning target volume (PTV) margins are
conventionally added to the clinical target volume (CTV) to account
for uncertainties associated with organ motion and day-to-day setup
variation. These margins can be uniform or asymmetric, depending on
organ motion and risk of toxicity to surrounding organs. There
appears to be a certain degree of variation among cancer centers
regarding the prostate PTV definition.(1-6) Commonly, the margin is approximately
1 cm with a smaller posterior margin to achieve better rectal
sparing. A more generic approach has been suggested by van Herk,(7) who proposed linking the PTV margin with
systematic and random errors.
PTV
margins can be reduced if better tumor targeting is achieved, for
which various methods have been suggested. Patient realignment alone
is adequate if interfraction motion is considerable while
intrafraction motion is not as significant, for example, the
prostate. This is in contrast to gating techniques, when
intrafraction motion is significant, for example, the lung.
Realigning the patient(8) allows us to
reduce the PTV margin while keeping the CTV adequately covered,
sparing normal tissues and potentially escalating the dose.
In our previous work,(9) we tested PTV margins from 2 mm to 12 mm
using three real patient anatomies with full (no realignment) or
reduced (daily online realignment) uncertainties. An online
realignment(8) using fiducial markers
implanted in the prostate, in combination with daily electronic
portal image (EPI) acquisition prior to each fraction, was
simulated. We assumed that only lateral images were taken to
localize the prostate, following the Princess Margaret Hospital
protocol.(8) Of all the considered
margins, 4-mm and 6-mm margins were deemed acceptable for dose
escalation up to 74 Gy or 78 Gy while keeping rectal toxicity at the
level associated with the larger PTV and without realignment (full
uncertainties).
In this paper, we
extend this study to ensure that these smaller margins will be
applicable to a larger group of patients. We also specifically
address the importance of dose-volume effects in the rectum for dose
escalation with patient realignment. This topic has become debatable
recently because evidence pointing toward a more parallel
behavior(9,10) for rectal toxicity has
been presented. This is in contrast to previously assumed serial
behavior.(11,12) There may also be a
difference in the volume dependence, depending on the severity of
the rectal toxicity.
II. METHODS
A. Treatment planning
The purpose of this study was to investigate whether PTV
margins can be safely decreased, in order to perform dose
escalation. The CTV was defined as the prostate; seminal vesicles
and pelvic lymph nodes were not included. The rectum and bladder
were considered organs at risk (OARs). CT scans of 20 prostate
cancer patients were included in the study. The prostate was
contoured by the treating radiation oncologist. Both the bladder and
rectum were contoured as solid organs. The rectum was contoured from
the anal verge to the level where it becomes the sigmoid colon.
Treatment planning was performed on the Eclipse treatment-planning
system (Varian, Palo Alto, CA) for a Varian EX 120 multileaf
collimator (MLC) linear accelerator. Three-dimensional uniform
margins of 10 mm and 5 mm were automatically added to the prostate
(CTV) to obtain the PTVs. In this paper, a 10-mm PTV margin with a
prescription dose of 70 Gy/35 fx and no patient realignment is
referred to as a Reference Plan. A treatment plan with a 5-mm margin
with a prescribed dose of 78 Gy/39 fx with patient realignment is
called an Escalated Plan.
The beam
arrangement was a four-field setup, using two lateral and two
anterior-oblique fields with gantry angles of 35°, 90°, 270°, and
325°.(1) The MLC leaf positions were
manually adjusted to cover the entire PTV with the 95% isodose
surface.
B. Organ motion simulation and dose calculation
A Monte Carlo code running in the
MATLAB (MathWorks, Natick, MA) environment(13) was developed to simulate geometric
uncertainties during the treatment on a fraction-by-fraction basis.
The code simulates organ motion with the following assumptions: (1)
organ deformation and rotation are not considered, and (2) relative
positions between the prostate, rectum, and bladder do not change.
Geometric uncertainty was separated into systematic and random
elements, which were assumed to obey a Gaussian distribution.(7) The overall displacement of a single
fraction was modeled as a sum of systematic and random components.
For a specific virtual patient, the systematic uncertainty was
sampled once and was kept constant for each fraction through the
course of treatment. Random uncertainty was sampled for each
fraction.
The standard deviations
associated with both systematic and random uncertainties used in
this simulation were taken from the published literature (Table 1).
For the treatment without patient realignment, that is, the full
uncertainty situation, the standard deviations were taken from Table
1 of the paper by van Herk et al.(7)
The reduced uncertainty data (i.e., after online correction
with a 3-mm action level) were taken from Table 3 of the paper by
Chung et al.,(8) the "center of mass"
data. Two hundred histories were calculated for each treatment plan
with a calculation time of 6 h to 7 h on a Pentium IV 2.66 GHz PC.
This number of histories was demonstrated to be sufficient to
establish confidence limits within a reasonable duration of
calculation.
| Table 1. The standard deviations of geometric uncertainties used in the simulations |
The dose distribution
from the treatment-planning system was used to calculate the dose
delivered every fraction. In the following sections, any results
referred to as "static" were calculated without organ motion
simulations; for example, the dose to each organ is the same as the
planning dose for each fraction. If the dose distribution or a
specific parameter is referred to as "blurred," this means that the
results were obtained with organ motion simulation.
Dose from each fraction was
accumulated on a voxel-by-voxel basis for each organ.(14,15) For each voxel, dose was converted
to the normalized total dose (NTD),(16)
which is the biologically equivalent dose in 2 Gy/fraction. The
formula used to convert dose to one voxel for the ith
fraction to NTD is
(1) |
where α and β are the parameters in the linear-quadratic model. The values are listed in Table 2.
| Table 2. Parameters used in biological factor calculation(11,12,17–19) |
C. Biological factor calculation
Each plan was evaluated for both local control and toxicity. This was done by calculating biological indices: TCP(17,18) and Deff (isoeffective dose to whole volume).(11,12,19,20) Note that the TCP has to be defined for the gross tumor volume (GTV); however, the GTV is equivalent to the CTV in the case of prostate cancer. If the whole CTV receives a uniform dose Di, then the TCP can be calculated as
(2) |
where D50 is the dose leading to a 50% probability of local control, and γ50 is the normalized slope of the TCP versus dose curve at 50% TCP.(17,18) The probability to control a voxel with a volume vi receiving dose Di is
(3) |
To control the whole CTV, all voxels have to be controlled; therefore, the overall TCP for the CTV is
(4) |
For the critical organs, the Deff was calculated using a power-law-based algorithm(19, 20):
(5) |
The parameter n describes the strength of the volume effect. In the literature three different n values have been reported that assume different volume dependence for rectal complications, with n = 0.12,(12) n = 0.24,(10) and n = 0.746.(9) All the parameters used in the calculations are shown in Table 2. The results of the simulations have been summarized as dose-population histograms (DPH).(7) Similar to a DVH, each point on the cumulative DPH represents the percentage of patients who receive at least a certain dose. Generally, dose in a DPH curve can have a broad meaning, including minimum dose to the GTV, effective dose to an OAR, such as in this paper, or any other dose chosen as a representative of outcome.
D. Plan evaluation
The rectum is considered to be the limiting organ for prostate dose escalation. For 70 Gy/35 fx, as in our Reference Plan, the probability of rectal grade 2 bleeding, scored with the modified RTOG-SOMA scale, is 12% to 14%.(1,22) We assumed that patients in the high-dose region of the DPH curve are at higher risk to develop complications. We therefore strengthened the acceptance criteria for dose escalation protocols. For each patient, we determined the Deff on the DPH curve that corresponded to 20% of patients in the Reference Plan as the dose leading to acceptable risk. For the Escalated Plan to be acceptable, the risk should be lower. In this study, less than 20% of patients treated with realignment must have their rectum Deff lower or equal to the risk level defined by the Reference Plan. This risk level is the baseline for acceptance of the Escalated Plan. Further, it connects our simulation results with the clinical consequences.
E. Potential full 3D correction
In Chung et al.,(8) the online correction protocol only uses
one lateral EPI to correct the AP and SI geometric error. This
allows for the realignment to be performed in a reasonable time
frame (around 8 min). Considering that the lateral shift of the
prostate should be small compared with AP and SI shifts, this
procedure appears reasonable. However, the potential benefits of
full 3D correction have to be explored.
A full 3D realignment protocol is
currently used in our center. To evaluate biological consequences of
this full 3D realignment quantitatively, we simulated reduction of
uncertainties in all dimensions. However, because only a small
number of patients have been treated to date with implanted fiducial
markers at this center, the full 3D realignment data are presently
insufficient to reliably establish uncertainties in 3D. Therefore,
we manipulated the systematic and random uncertainties in the
lateral direction to make geometric error reduction consistent with
what was achieved for other directions. Instead of systematic
uncertainty of 3.2 mm and random uncertainty of 2.2 mm (see Table
1), we assumed 0.5 mm and 1.1 mm, respectively. This simulation was
performed for the Escalated Plan.
III. RESULTS
A. Tumor control
All 4000 (20 treatment plan × 200 histories) virtual patients' TCPs are shown in Fig. 1. The Escalated Plan average TCP is 0.817, with a standard deviation of 0.011. In comparison, the Reference Plan gives a mean TCP of 0.609 and a standard deviation of 0.014. This gain in tumor control is consistent with parameter values used in our calculations, specifically, γ50 (see Table 2). Values of the normalized slope for prostate cancer reported in the literature vary with a range of 1.0 to 3.2(23) (intermediate risk prostate cancer). The impact of different parameters has been investigated in our previous work.(9) While dose escalation is always beneficial, the expected improvement in local control will of course be less if a shallower dose-response is assumed.
Fig. 1. TCP histograms showing the Escalated Plan and the Reference Plan for all patient simulations |
||
B. Rectal complications
The typical DPH curve for a single patient simulation is shown in Fig. 2. The vertical axis is the percentage of all 200 histories, and the horizontal axis is the rectum Deff. The Reference Plan (70 Gy with 10-mm margin and full uncertainty) leads to a broad distribution in Deff. In contrast, the DPH for the Escalated Plan (78 Gy with 5-mm margin and reduced uncertainty) is steeper than the Reference Plan. If one DPH was fully "contained" in another, the preference from a clinical perspective would be trivial. However, quite often the DPHs cross over at one point. The point at which two DPHs cross strongly depends on the value of the parameter n used in the Deff calculation. In the region where Deff is greater than the point of crossing, the Escalated Plan always gives lower rectum dose as compared with the Reference Plan and vice versa. If the point of crossing corresponds to a Deff of minor clinical consequence, that is, rectal toxicity, then the Escalated protocol would be superior and safer compared to the Reference Plan.
Fig. 2. Rectal dose population histograms (DPH) for one of the 20 patients (n = 0.746). The slope of the Reference Plan curve is broad while that for the Escalated Plan curve is steep. Beyond the crossing, the Escalated Plan gives lower dose to the rectum than the Reference Plan and vice versa. |
||
Figure 3 shows the relationship between the location of crossing, presented as the vertical axis value of the probability in the DPH at which the two plans intersect, and the static Deff of each patient from the Reference Plan as an index. The static Deff is calculated without organ motion simulation. In other words, the dose to the rectum for every fraction is delivered as planned. As was addressed above, Deff changes with n. The graph shows the proportion of patients who would benefit if they were treated with the escalated dose, smaller margin, and patient realignment, compared to the treatment with full uncertainty. If the point of crossing falls on a clinically inconsequential Deff, we can assume that no patient will be subjected to a higher risk of rectal toxicity compared to the Reference Plan. From the graph, the dose escalation protocol reduces rectal dose to a large proportion of patients with large Deff, if we assume rectum behavior is more parallel, that is, n = 0.746(9) or n = 0.24.(10) However, if more serial behavior is assumed, n = 0.12,(12) some of the virtual patients have shown no obvious improvement, exceeding the 20% risk level.
Fig. 3. The DPH probability at intersection point versus static Deff plot for each patient with different n values. The horizontal axis is the static Deff of the Reference Plan. The vertical axis is the percentage in population. |
||
C. Look-up plots for static Deff versus realistic Deff
Look-up plots for the relationship between the Deff from the planning DVH (static Deff) and the realistic doses (blurred Deff) to patient accounting for geometric uncertainty in treatment, are shown in Figs. 4(a), (b), and (c). The three possible parameters describing strength of volume effects were modeled for two prescription doses. The median Deff and 95% confidence limits derived from the 200 histories are shown for the entire dataset. Variation in planned Deff arises from patient anatomy differences. These graphs illustrate the relationship between the dose distribution calculated by the treatment-planning system and what is actually delivered to the patient. These graphs also clearly show how potential benefits of applying tighter PTV margins and escalating the dose depend on the assumed strength of volume effects.
Fig. 4(a). Static Deff of the Reference Plan versus the blurred Deff of the Reference Plan (left) and the Escalated Plan (right) for n = 0.12. The blurred Deff, due to geometric uncertainty associated in treatment, is shown as a median value and the 95% confidence limits. The dashed line shows equal staticDeff and blurred Deff as a reference. |
||
Fig. 4(b). StaticDeff of the Reference Plan versus the blurred Deff of the Reference Plan (left) and the Escalated Plan (right) for n = 0.24. The blurred Deff, due to geometric uncertainty associated in treatment, is shown as a median value and the 95% confidence limits. The dashed line shows equal static Deff and blurred Deff as a reference. |
||
Fig. 4(c). Static Deff of the Reference Plan versus the blurred Deff of the Reference Plan (left) and the Escalated Plan (right) for n = 0.746. The blurred Deff, due to geometric uncertainty associated in treatment, is shown as a median value and the 95% confidence limits. The dashed line shows equal static Deff and blurred Deff as a reference. |
||
D. Potential 3D full correction
The results with additional lateral realignment show that the calculated average increase in the lowest TCP (considering the worst scenario) among the 20 patients is 0.83%, shown in Fig. 5. The Deff to rectum and bladder has no significant change with 3D full correction for all possible n values.
Fig. 5. TCP graph showing mean values for 2D correction and potentially 3D full correction with the 95% confidence limits for the 20 patients |
||
IV. DISCUSSION
The intuitive thinking for isotoxicity or toxicity-free dose escalation protocol is to reduce the geometric uncertainties, and then reduce the PTV margins. This has been pointed out by authors who presented results of prostate intensity-modulated radiotherapy (IMRT) or stereotactic radiation therapy for prostate cancer.(21,22,24-26) This drives image-guided radiation therapy to be the next step in radiation therapy. Patient realignment using internal fiducial markers and EPI has proven to be a reliable approach. Uncertainty control by EPI applied to prostate IMRT has been reported in the literature.(21,22) Dose escalation protocols were suggested with patient realignment and margin reduction being an integral part of the protocol.
A. Geometric uncertainties
This work is intended to investigate the
dose escalation protocol using Princess Margaret Hospital's
previously published online patient realignment protocol.(8) Therefore, the geometric uncertainties
for patient realignment are taken from their publication.(8) The geometric uncertainties for current
treatment procedure, no realignment, are taken from the study of van
Herk et al.(7) The data are believed to
represent the clinical situation at our center because we have the
same patient management: full bladder without rectum balloon. The
magnitude of geometric uncertainties will affect the simulation
results. However, since we follow the clinical data, our results
reveal the clinical consequences.
In this study, we simulated the
organ motion without organ deformation. The rectum and the bladder
are considered to be the most deformable organs instead of the
prostate. If the organ deformation had been considered, the
biological consequences of the dose escalation protocol may have
been affected. Incorporating organ deformation is planned for our
future studies.
B. Patient anatomy
For dose to critical organs, there are two factors that contribute to the dose variation among the population: geometric errors, which will "blur" the dose distribution for a single patient, and the patient's anatomy. Some patients may receive higher doses to a critical organ because of the relative positions of the critical organ and the prostate. This has been offset to some extent by choosing alternative beam arrangements, for example, IMRT versus four-field. In clinical practice, plan acceptance depends on the dose distribution calculated for the planning CT. In this study, we calculated look-up plots that allow us to estimate more realistic dose variation when uncertainties are full (no realignment) and reduced (patient realigned prior to every fraction). These look-up plots can be used to identify patients who may be suitable for dose escalations without excess risk of rectal complications.
C. Rectal complications
In our study, we considered gastrointestinal
complications only. Genito-urinary (GU) complications were not
investigated because they are difficult to analyze, hematuria may
originate from either the bladder or the urethra, and there is no
consistent bladder or urethral DVH correlation for GU complication.
Because of the reduced PTV margin, better sparing of surrounding
organs, including the bladder, can be achieved. Although
quantification of biological consequences of this margin reduction
in terms of GU complications is associated with significant
uncertainties, one would still speculate that there is an advantage
in reducing radiation dosage received by the bladder. In terms of
erectile dysfunction, again, one would expect an advantage with a
tighter margin and thus less radiation dosage to the penile bulb,
and perhaps better preservation of sexual function. But without
extensive supporting data showing there is a strong correlation of
penile bulb dosimetry and erectile dysfunction, we did not analyze
this effect, although this remains a very interesting research
question.
For rectal
complications, we use the Deff as
our evaluation scale. The Deff was
calculated by reducing rectal DVH to one value. In this procedure an
n factor was used, which describes the strength of the rectum
volume dependence. A larger n value corresponds to more
parallel dose-volume dependence. However, currently there is no
consensus about this value.
The
value of the parameter describing the strength of volume effects
(n = 0.12(12)) reported by
Burman et al. was obtained from the TD5/5 and TD50/5 data given by
Emami et al.(11) Due to the lack of
clinical evidence for partial organ tolerance doses, expert opinion
was used. Burman et al. acknowledged that "To determine the volume
dependence parameter, n, for organs with insufficient data, a
best clinical estimate was made by a group of investigators."
Therefore, n = 0.12 originates from professional opinion
rather than dose-volume based clinical data.
The n = 0.746(9) reported by the M.D. Anderson hospital
group was based on clinically observed complications and planning
DVHs. The study group comprised 128 patients, but they excluded
patients with hemorrhoids to obtain the above n factor, a
further reduction to 84 patients. The prescription dose was the same
for all patients: 46 Gy with a four-field box technique followed by
a six-field arrangement to boost the total target dose to 78 Gy.
The latest data, n =
0.24,(10) are given by a multicenter
study performed in Italy. The patient population was 547. Different
prescription doses were used, ranging from 64 Gy to 79.2 Gy.
Presently, this is the most broadly based study both in terms of
sample size and variation in dose-volume distributions.
From the clinical data, it appears
that the rectum behavior is not as serial as we long believed,
suggesting that an n = 0.12 value may not be appropriate.
Some hints for this were provided by clinical practice using 3D CRT.
The Memorial Sloan-Kettering Cancer Center
(27) reported that with a prescription dose of 81 Gy and a
1.0-cm margin PTV, except at the prostate-rectum interface, where a
0.6-cm margin was used, rectal grade 2 or higher (RTOG scale)
complication rate was 16.5%. In the M.D. Anderson report,(28) a 78 Gy prescription dose with a
tighter margin was used: "the block edge was placed 1.25 cm to 1.5
cm around the CTV in the anterior and inferior directions and 0.75
cm to 1.0 cm in the posterior and superior directions." The rectal
grade 2 or higher (RTOG scale) complication rate was 21%. This
clinical evidence shows that there is no dramatic increase in rectal
complications as the serial model predicted.
According to the Italian
multicentric analysis data(10) for
rectum (n = 0.24), dose escalation with patient realignment
not only improves the local control, but also gives a lower
probability of rectal complications; see Fig. 3.
Margin reduction and dose
escalation, according to our results, can be safely achieved with
realignment. However, rectal volume effects put strong constraints
on this. Therefore, prostate dose escalation studies have to include
collection of full dose-volume data for OARs and possibly
dose-rectal wall data.
D. Potential full 3D correction
From Fig. 5, for most of the patients, a full 3D correction gives better local control than 2D correction. However, in terms of average TCP, the increase is less than 1%. For Deff to rectum, the 3D correction does not show an advantage compared to the 2D correction. Considering the extra workload of lateral geometric uncertainty correction, correction of lateral geometric uncertainty may provide little clinical benefit.
V. CONCLUSION
According to our analysis of the rectum dose and assuming a parallel behavior for rectal complications for patients treated with prostate fields only, prescription dose can be escalated from 70 Gy/35 fx to 78 Gy/39 fx with reduced 3D PTV margin from 10 mm to 5 mm if patient repositioning by EPI and internal fiducial markers is used. Current data support more parallel response for rectal bleeding. If this is confirmed, further escalation might be achievable. Lookup plots for static Deff versus realistic Deff were generated. They can be used to improve the clinical decision process for plan evaluation and acceptance. Full 3D correction is not substantially superior to the 2D correction.
ACKNOWLEDGMENT
We thank Tim Craig for help with organ motion simulation. Special thanks to Ken Yuen for help with the treatment-planning check.
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