Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 13 July 2023
Sec. Radiation Oncology

Reducing the margin in prostate radiotherapy: optimizing radiotherapy with a general-purpose linear accelerator using an in-house position monitoring system

Sankar Arumugam,*Sankar Arumugam1,2*Karen Wong,Karen Wong2,3Viet Do,Viet Do2,3Mark Sidhom,Mark Sidhom2,3
  • 1Department of Medical Physics, Liverpool and Macarthur Cancer Therapy Centres and Ingham Institute, Sydney, NSW, Australia
  • 2South Western Clinical School, University of New South Wales, Sydney, NSW, Australia
  • 3Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, NSW, Australia

Purpose: To study the feasibility of optimizing the Clinical Target Volume to Planning Target Volume (CTV-PTV) margin in prostate radiotherapy(RT) with a general-purpose linear accelerator using an in-house developed position monitoring system, SeedTracker.

Methods: A cohort of 30 patients having definitive prostate radiotherapy treated within an ethics-approved prospective trial was considered for this study. The intrafraction prostate motion and the position deviations were measured using SeedTracker system during each treatment fraction. Using this data the CTV-PTV margin required to cover 90% of the patients with a minimum of 95% of the prescription dose to CTV was calculated using van Herk’s formula. The margin calculations were performed for treatment scenarios both with and without applying the position corrections for observed position deviations. The feasibility of margin reduction with real-time monitoring was studied by assessing the delivered dose that incorporates the actual target position during treatment delivery and comparing it with the planned dose. This assessment was performed for plans generated with reduced CTV-PTV margin in the range of 7mm-3mm.

Results: With real-time monitoring and position corrections applied the margin of 2.0mm, 2.1mm and 2.1mm in LR, AP and SI directions were required to meet the criteria of 90% population to receive 95% of the dose prescription to CTV. Without position corrections applied for observed position deviations a margin of 3.1mm, 4.0mm and 3.0mm was required in LR, AP and SI directions to meet the same criteria. A mean ± SD reduction of 0.5 ± 1.8% and 3 ± 7% of V60 for the rectum and bladder can be achieved for every 1mm reduction of PTV margin. With position corrections applied, the CTV D99 can be delivered within -0.2 ± 0.3 Gy of the planned dose for plans with a 3mm margin. Without applying corrections for position deviations the CTV D99 was reduced by a maximum of 1.1 ± 1.1 Gy for the 3mm margin plan and there was a statistically significant difference between planned and delivered dose for 3mm and 4mm margin plans.

Conclusion: This study demonstrates the feasibility of reducing the margin in prostate radiotherapy with SeedTracker system without compromising the dose delivery accuracy to CTV while reducing dose to critical structures.

Introduction

Prostate cancer is the most commonly diagnosed cancer among men (1, 2). More than 60% of prostate cancer patients receive radiotherapy (RT) for the treatment of their disease (3). External beam radiotherapy (EBRT) is an effective treatment for prostate cancer. Radiotherapy planning and delivery techniques continuously evolve to improve the dose conformity to the intended treatment volume and reduce the dose to nearby Organs at Risk (OARs) such as the rectum and bladder. Studies have shown that these advancements resulted in reduced treatment-related toxicity after radiotherapy (46). Further, the advancements in image-guided radiotherapy (IGRT) enabled the accurate positioning of the target volume before the start of treatment. Gill et al (7) studied a large cohort of prostate cancer radiotherapy patients treated with and without IGRT. The cohort of patients included in their study are treated with the same dose prescription, treatment technique and treatment margin. Their analysis showed that the patients treated in the IGRT group had less urinary toxicity, diarrhea and fatigue in comparison to the non-IGRT group demonstrating the treatment quality improvement that can be achieved with IGRT.

Despite advancements in RT delivery, there remains a proportion of patients that develop acute and late gastrointestinal (GI) and genitourinary (GU) toxicity after prostate RT (8). This affects patients’ physiological and psychological well-being and results in poor quality of life after treatment (9). A Clinical Target Volume to Planning Target Volume (CTV-PTV) margin is used in prostate RT to account for target position uncertainties, and the larger this expansion there is a resulting in higher dose delivered to the rectum and bladder which contributes to the toxicity. The advancements in real-time target position monitoring during treatment delivery reduce the uncertainty of target position and unlock the possibility to reduce the magnitude of CTV-PTV margin thereby reducing the OARs dose. Several studies report real-time prostate position monitoring using implanted gold fiducial markers with megavoltage (MV) Electronic Portal Images (EPIs) (10, 11), implanted electromagnetic transponders (12, 13), intrafraction kilovoltage (kV) Cone Beam Computed Tomographic (CBCT) images (13, 14), kV stereoscopic or fluoroscopic images with implanted fiducials (15, 16) and trans abdominal or trans perineal ultrasound systems (17, 18).

The widespread application of prostate position monitoring in routine clinical practice is limited to prostate stereotactic body radiotherapy (SBRT) where a smaller magnitude of CTV-PTV margin is used to limit the dose to nearby OARs (17, 19, 20). One of the main reasons for this limited application is the requirement of dedicated additional position monitoring systems to enable real-time position monitoring in treatment with a general-purpose linear accelerator (linac). The feasibility of using the kV imaging system available in linacs to perform real-time monitoring for prostate SBRT has been reported (2123). Our group developed such a system that enables real-time position monitoring in Elekta linacs with the XVI system (2325). Recently, we completed a phase 1 trial (ACTRN12618001421224) that investigated the feasibility of using this system for conventionally fractionated prostate RT (26, 27). In this study, we investigate the feasibility of optimizing the CTV-PTV margin using the patient and real-time prostate position data collected in our phase-1 trial to explore the safe implementation of margin reduction in prostate RT in a general-purpose linac without the need for an additional position monitoring system.

Methods

Patient data

The patient data is sourced from an ethics-approved prospective trial (ACTRN12618001421224) that investigated the feasibility of using in-house developed position monitoring software, SeedTracker, for intrafraction prostate position monitoring and corrections in a general-purpose linear accelerator. A cohort of 30 prostate cancer patients with low-intermediate (15 patients) and high-risk (15 patients) categories was considered for this study. The patients implanted with intraprostatic gold fiducial markers were included in this trial with the exclusion of patients with hip prostheses.

Real-time target position data

The real-time intrafraction prostate position data measured by the SeedTracker system was used for this study. In the original prospective trial, a cohort of 10 patients was treated with 5 mm, 4 mm and 3 mm position tolerance categories to study the acceptance of the system in the routine clinical environment. All the patients were positioned for treatment using pre-treatment Cone Beam Computed Tomography (CBCT) images acquired using Elekta XVI imaging system. The technical details of the SeedTracker system have been reported elsewhere (2325). The patients were treated with either single or dual VMAT arc depending on the complexity of the plans. For the real-time position monitoring, x-ray images were acquired at a gantry angle spacing of 9° using 8 cm x 8 cm aperture. This imaging protocol resulted in the imaging dose of 0.9 mSv for the entire treatment course of 20 fractions (27). The mean (SD) beam- on time of patients treated within this study was 2.3(0.3)mins.

PTV margin calculation

The required PTV margin with and without real-time position monitoring was calculated using van Herk’s non-linear margin recipe (28).

M=C1Σ+C2(σ2+σp2σp)

Where Σ is the standard deviation of mean displacements (systematic error), σ is the standard deviation of the random variations and σp (3.2 mm) is the width of the penumbra modeled by cumulative gaussian. C1 is the confidence level corresponding to the percentage of the population and C2 is the coefficient for dose level. The values of C1 and C2 were chosen to achieve 90% of the population having CTV covered by 95% of the prescription dose which correspond to 2.5 and 1.64 respectively.

Radiotherapy plans with different PTV margins

For this study, only prostate CTV was considered. The patients’ plans with pelvis node inclusion were replanned with prostate CTV only. Currently, we use 7 mm isotropic margins in our clinic to account for target position and geometrical uncertainties in prostate CTV during treatment delivery. To study the magnitude of dose reduction to OARs that can be achieved with reduced margins and the impact of prostate position deviations, additional treatment plans were generated with 6 mm, 5 mm, 4 mm and 3 mm margins. All the treatment plans were generated using a 6MV beam model for Elekat linac with Agility Multi Leaf Collimator in the Pinnacle treatment planning system (TPS). A dose prescription of 60 Gy in 20 fractions was used for all the plans and the clinical acceptability of the plans were assessed based on the departmental clinical dosimetric goals for prostate RT plan evaluation (Figure 1). To minimize the inter-planner subjectivity on the plan quality and maintain the consistency between the plans, all the plans were generated using the Autoplanning module in the Pinnacle TPS.

FIGURE 1
www.frontiersin.org

Figure 1 The departmental clinical goal protocol to evaluate the acceptability of prostate radiotherapy plans.

Target volumes and OARs dose with reduced treatment margins

The CTV and PTV dose of plans generated with different PTV margins was compared using dose received by 99% of volume (D99) and dose received by 98% volume (D98) Dose Volume Histogram (DVH) metrics respectively. The reduction in dose to rectum and bladder that can be achieved with different CTV-PTV margins was compared using volume receiving 46 Gy (V46) and volume receiving 60 Gy (V60) DVH metrics. The statistical significance of dose difference between the plans generated with different PTV margins at the population level was studied using one-way Analysis of Variance (ANOVA) and Tukey’s honestly significant difference (HSD) test to the significance level of p<0.05.

The delivered dose assessment

The dose delivered to target volumes and OARs was studied by incorporating the target positions determined by the SeedTracker system by the voxel-shift method (2931). The dose delivered with position corrections applied to the observed position deviations (Corrected) was assessed by incorporating the residual position deviations below the action threshold to the 3D dose cube of the VMAT arc in each treatment fraction. The dose that would have been delivered without monitoring (Not corrected) was assessed by the following steps:

* In the treatment fractions where position deviations did not occur, the residual position errors were incorporated into the VMAT arcs as in the corrected scenario

* In the events where the position deviations occurred at the start of the treatment, the observed position deviation was incorporated into the whole treatment fraction

* In the events where the position deviations occurred during the delivery of the treatment, the residual error calculated up to the fraction of treatment delivery was incorporated for the 3D dose cube of control points (CPs) of the VMAT arc up to the gantry angle of position deviation event. For the rest of the treatment fraction dose, the magnitude of the position deviation that triggered the event was incorporated into the rest of the CPs dose of the VMAT arc.

Since three different position tolerance criteria were used for the monitoring in the study cohort, to avoid the ambiguity of using the larger position tolerance criteria in smaller margin plans the following approach was taken:

* All the patient plans (treated with 5 mm, 4 mm and 3 mm position tolerance) were studied with the delivered dose assessment for the margin range of 7 mm-5 mm.

* The patients treated with 4 mm and 3 mm position tolerance were studied for the delivered dose assessment of 4 mm PTV margin.

* The patients treated with 3 mm position tolerance were only used to study the delivered dose assessment of the 3 mm PTV margin.

Analysis of delivered dose

The difference in dose delivery with and without position corrections in each PTV margin category in comparison to the respective planned dose was assessed by comparing D99 to CTV, D98 to PTV and V46 and V60 to rectum and bladder. The statistical significance of the difference of the studied DVH metrics in the scenarios of treatment with and without position corrections in comparison to the planned dose at the population level was assessed by one-way ANOVA and Tukey’s HSD test with a significance level of p<0.05.

Results

PTV margin

The systematic and random position errors resulting from both corrected and not corrected treatment scenarios determined based on the real-time prostate position data from the SeedTracker system are shown in Table 1A. The systematic and random errors were calculated for both the individual position tolerance cohort and the overall combined cohort. Similarly, the PTV margin in left-right (LR), anterior-posterior (AP) and superior-inferior (SI) directions were calculated based on van Herk’s margin recipe to cover 90% of the population with 95% of the prescription dose to CTV in both individual and overall combined cohort as shown in Table 1B.

TABLE 1A
www.frontiersin.org

Table 1A The systematic and random errors of prostate position determined based on the monitoring data derived from SeedTracker system.

TABLE 1B
www.frontiersin.org

Table 1B The CTV-PTV margin calculated based on the measured systematic and random errors.

Plans with reduced PTV margins

The target volumes and OARs DVH metrics of treatment plans generated with 7 mm, 6 mm, 5 mm, 4 mm and 3 mm PTV margins are shown in Figure 2. The mean ± SD of the target volume and OARs DVH metrics of the plans is shown in Table 2.

FIGURE 2
www.frontiersin.org

Figure 2 (A) CTV D99, (B) PTV D98, (C) Rectum V46, (D) Rectum V60, (E) Bladder V46 and (F) Bladder V60 plans generated with CTV-PTV margins ranging between 7 mm and 3 mm.

TABLE 2
www.frontiersin.org

Table 2 The target volume and OARs mean DVH metrics and statistical analysis results of plans generated with CTV-PTV margin ranging between 7 mm and 3 mm.

Target volumes dose

The CTV and PTV DVH metric goals were achieved in all the plans generated with margins ranging between 7 mm and 3 mm (Table 2). A one-way ANOVA revealed that there was no statistically significant difference in CTV D99 between at least two PTV margins (f-ratio = 2.17, p = 0.08). A one-way ANOVA revealed that there was no statistically significant difference in PTV D95 and D98 between at least two PTV margins (p>0.05)

OARs dose

Rectum

There was a mean ± SD reduction of 1 ± 3.8% and 0.5 ± 1.8% in V46 and V60 volumes for every 1 mm reduction in PTV margin. A one-way ANOVA revealed that there was a statistically significant difference in V46 (f-ratio = 4.57, p = 0.00) and V60 (f-ratio = 10.99, p = 0.00) between at least two PTV margins. Tukey’s HSD Test for multiple comparisons found that the mean value of V46 was significantly different between 7 mm and 3 mm (p = 0.00) and 6 mm and 3 mm (p=0.01) PTV margins. Similarly, V60 was significantly different between 7 mm and 4 mm (p = 0.00), 7 mm and 3 mm (p = 0.00), 6 mm and 4 mm (p = 0.01), 6 mm and 3 mm (p=0.00) and 5 mm and 3 mm (p = 0.02) PTV margins (Table 2).

Bladder

There was a mean ± SD reduction of 4 ± 12% and 3 ± 7% V46 and V60 volumes for every 1 mm reduction in PTV margin. A one-way ANOVA revealed that there was a statistically significant difference in V46 (f-ratio = 7.58, p = 0.00) and V60 (f-ratio = 12.42, p = 0.00) between at least two PTV margins. Tukey’s HSD Test for multiple comparisons found that the mean value of V60 was significantly different between 7 mm and 5 mm (p = 0.03), 7 mm and 4 mm (0.00), 7 mm and 3 mm (0.00) and 6 mm and 3 mm (0.01) PTV margins. Similarly, V60 was significantly different between 7 mm and 5 mm (p = 0.01), 7 mm and 4 mm (p = 0.00), 7 mm and 3 mm (p = 0.00), 6 mm and 4 mm (p=0.03) and 6 mm and 3 mm (p=0.00) PTV margins (Table 2).

Reduction in PTV volume

The change in PTV volume when the margin is reduced from 7 mm to 3 mm is shown in Figure 3. There is a mean ± SD reduction of 9.4 ± 5.7% for every 1 mm reduction in PTV margin.

FIGURE 3
www.frontiersin.org

Figure 3 The percentage reduction in PTV volume of plans with 6 mm-3 mm PTV margin in comparison to plans with a 7 mm margin.

Delivered dose assessment

Target volumes dose

Figures 4A, B show the difference of CTV D99 and PTV D98 between the planned and delivered with and without position corrections of the plans generated with different margins. The mean ± SD difference of CTV D99 and PTV D98 and the results of ANOVA are shown in Table 3. The mean difference between the planned and delivered CTV D99 was consistently small for delivery with correction compared to without corrections. A one-way ANOVA revealed that there was no statistically significant difference of CTV D99 between the planned and delivered with and without position corrections for the plans generated with 7 mm (f=0.49,p=0.61), 6 mm (f=0.46,p=0.66), and 5 mm (f=1.12,p=0.33) PTV margins. The mean CTV D99 difference with and without position correction showed the maximum difference of -0.2 ± 0.3 Gy and -1.1 ± 1.1 Gy respectively in 3 mm margin plans. A one-way ANOVA revealed that there was a statistically significant difference of CTV D99 between the planned and delivered with and without position corrections for the plans generated with 4 mm (f=0.49,p=0.61) and 3 mm (f=0.46,p=0.66) PTV margins. Tukey’s HSD Test for multiple comparisons found that the mean value of CTV D99 was significantly different between planned and delivery without corrections for 4 mm (p = 0.01) and 3 mm (p = 0.01) PTV margin plans. The mean PTV D98 difference in treatment with and without corrections showed a maximum difference of -1.4 ± 0.7 Gy and -2.7 ± 1.3 Gy in 7 mm and 5 mm PTV margin plans respectively. A one-way ANOVA revealed that there was a statistically significant difference in PTV D98 between the planned and delivered with and without position corrections for the plans generated with all PTV margins (Table 3). Tukey’s HSD Test for multiple comparisons found that the mean value of PTV D98 was significantly different between planned and delivered without corrections as well as between the delivery with and without corrections group. The percentage of plans meeting 95% of the prescribed dose to CTV with and without corrections is shown in Table 4.

FIGURE 4
www.frontiersin.org

Figure 4 The difference between planned and delivered (corrected and not corrected scenarios) (A) CTV D99, (B) PTV D98, (C) Rectum V46, (D) Rectum V60, (E) Bladder V46 and (F) Bladder V60 of plans generated with CTV-PTV margins ranging between 7 mm and 3 mm.

TABLE 3
www.frontiersin.org

Table 3 The difference between the planned and delivered DVH metrics of target volumes and OARs of plans generated with CTV-PTV margin ranging between 7 mm and 3 mm.

TABLE 4
www.frontiersin.org

Table 4 The percentage of patients receiving 95% of the prescription dose to CTV in each CTV-PTV margin category.

OARs dose

Rectum

Figures 4C, D show the difference of rectum V46 and V60 between planned and delivered with and without corrections for the plans generated with all studied margins. The delivery with position corrections consistently showed a smaller difference with planned V46 and V60 in comparison to the delivery without position corrections (Figures 4C, D, Table 3). The delivery with and without corrections showed a maximum V46 difference of -0.8 ± 0.9% and -0.9 ± 1.8% for plans with 7 mm and 6 mm PTV margins respectively. A one-way ANOVA revealed that there was no statistically significant difference of V46 between the planned and delivered with and without position corrections for the plans with all PTV margins studied (Table 3). The 7 mm margin plan showed the maximum V60 difference of -0.8 ± 0.9% and -0.9 ± 1.8% in delivery with and without position corrections. A one-way ANOVA revealed that there was a statistically significant difference of V60 between the planned and delivered with and without position corrections for the plans with all PTV margins studied (Table 3). Tukey’s HSD Test for multiple comparisons found that the mean value of V60 was significantly different between planned and delivery without corrections for the plans generated with all margins considered (Table 3). In delivery with position corrections, the plans with 4 mm and 3 mm PTV margins showed no statistically significant difference (p>0.05), however, the plans with 7 mm to 5 mm margins showed a significant difference (p<0.05) with the planned dose (Table 3).

Bladder

Figures 4E, F show the difference of bladder V46 and V60 between planned and delivered with and without corrections for the plans generated with all studied margins. The delivery with and without corrections showed a maximum V46 difference of -0.9 ± 1.7% and -1.6 ± 3.1% for plans with 4 mm PTV margin. The same for V60 was -1.5 ± 1.1% and -2.4 ± 2.5% for plans with 4 mm PTV margin (Table 3). A one-way ANOVA revealed that there was no statistically significant difference of V46 and V60 between the planned and delivered with and without position corrections for the plans with all PTV margins studied (Table 3).

Discussion

A wide range of CTV to PTV margins are used in clinics around the world (32). The widespread implementation of CBCT based pre-treatment image guidance hoped to reduce this variation. However, the factors such as frequency of image guidance before and during treatment, type of image registration used (bone/soft tissue/implanted fiducials), the treatment technique, duration of treatment delivery time, daily position correction action levels, intrafraction motion monitoring and real-time position corrections, patient bowel/bladder preparation protocols and consideration of target delineation uncertainties contribute to the clinic’s specific margin.

The reduction of dose to OARs by modulated treatment delivery techniques (33) and accurate delivery of the same by image guidance has been shown to reduce treatment-related toxicity in prostate RT (7). The fiducials inserted in the prostate enable the ability to ensure the accurate positioning of the prostate using either the pre-treatment kV portal or CBCT image sets. The real-time prostate position monitoring enables the accurate positioning of the target volume by correcting the intrafraction position deviations resulting from internal organs motion such as peristalsis, bladder filling and bowel movement, as well as involuntary patient movements resulting from sources such as pelvis muscle relaxation and coughing. The correction for intrafraction deviations allows the reduction of the PTV margin and reducing the dose to OARs. In this study, the intrafraction prostate position deviations determined and corrected using the SeedTracker system were studied to evaluate the potential reduction of CTV-PTV margin and resulting OARs sparing. Without position correction for intrafraction motion events that exceed the action tolerance, an isotropic margin of a minimum of 4 mm is required to achieve the criteria of 90% of patients receiving 95% of the prescribed dose to CTV as per van Herk’s margin formula (29) (Table 1B). Studies have reported a wide range of margins to ensure CTV coverage (Table 5). The magnitude of the margin calculated depends on the type of treatment technique, length of treatment time, coverage criteria used for the calculation, and the number of patients included in the study. The margin calculated based on the motion data without position correction in this study agree within the range of margin reported in other studies (Table 5).

TABLE 5
www.frontiersin.org

Table 5 Comparison of different studies calculated the CTV-PTV margin based on the measured intrafraction prostate motion data.

Real-time monitoring with an action threshold of 4-5 mm results in the reduction of random position errors and based on the results the margin can be reduced to 2.5 mm (Table 1B). Reducing the position tolerance to 3 mm enables the PTV margin to be reduced to 2.0 mm. With real-time position monitoring and position corrections performed for the deviations, an isotropic margin of a minimum 2.1 mm is required to achieve the criteria of 90% of patients receiving 95% of the prescribed dose to CTV when the combined cohort of patients is considered. This is in close agreement with Badakhshi et al (16), who calculated a margin of 1.8 mm, 2.8 mm and 2.9 mm in LR, AP and SI directions is required to achieve the criteria of 90% of patients receiving 95% of the prescribed dose to CTV with the intrafraction motion corrected using Exactrac system. The position deviations that are below the action threshold results in the requirement of CTV-PTV margin in the treatment with intrafraction monitoring and corrections. Fast et al (41) experimentally demonstrated that with real-time MLC tracking to compensate for the intrafraction motion, the CTV-PTV margin can be reduced to 1 mm without adversely affecting the intended dose to CTV.

The OARs DVH metric analysis of treatment plans generated with margin ranging from 7 mm to 3 mm show that at the population level statistically significant improvement in the rectum and bladder DVH can be achieved when the margin is reduced to ≤ 5 mm (Table 2). Though at the individual patient level the reduction in margin would result in reduced dose to OARs, at the population level the dosimetric benefits can be achieved when the margin is reduced to ≤ 5 mm. The variation in the different magnitude of overlap between the PTV and OARs in the studied population of patients could be the possible reason for this observation. The variation in plan quality due to planners’ experience and subjectivity in manual planning could also influence it. However, all the plans in this study were generated using the Autoplanning module in the Pinnacle planning system, which was shown to generate consistently high-quality plans (42). Nevertheless, every 1 mm reduction in margin resulting in 9.4 ± 5.7% reduction in PTV volume, would result in a considerable reduction of volume of normal tissues around CTV receiving the high dose.

The delivered dose assessment that incorporates the target position during the treatment delivery shows that with the correction applied for the observed position deviations, 95% of the prescription dose to CTV is achieved in 100% when 3 mm margin was used for planning. This suggests the potential to reduce the margin without compromising the dose to CTV with real-time position monitoring and corrections.

At the population level, there is no statistically significant difference (p>0.05) in the dose delivered to CTV between the planned and treatment with and without position corrections performed for plans generated with 7-5 mm. However, the treatment of 4 mm and 3 mm plans without position corrections would result in a statistically significant difference in dose delivery to CTV in comparison to the planned dose. The Rectum V60 of the treatment with and without position correction is statistically different (p<0.05) from the planned dose for plans with 7 mm-5 mm. The residual error in the positioning and variation in V60 among the plans of the studied population could be the contributing factors for this. However, the treatment with position corrections results in a statistically insignificant difference (p>0.05) between the planned and delivered V60 to the rectum for plans with 4 mm and 3 mm margins. For bladder, the delivered V46 and V60 are no statistically different from the planned dose in both treatments with and without position correction for the plans with all studied margins. The relatively high interpatient variation of these DVH metrics that results from variations in the bladder volume and its overlap with PTV and variation resulting from the residual error could be the contributing factors for this.

Three large randomized controlled trials that assessed the efficacy of current standard-of-care radiotherapy dose regimens reported late grade 2-4 gastrointestinal toxicity in the range of 9-22% and late grade 2-4 genitourinary toxicity in the range of 7-30% (8, 4345). Treatment-related toxicity affects patients’ Quality of Life (QoL) after treatment. This is particularly important for prostate cancer patients as they have a good prognosis and live longer. The treatment-related toxicity compounds the age-related issues and decreases the QoL of patients after treatment. A recent study that assessed 10-year post-treatment outcome data reported that about 40% of men experience long-term decrements in physical and mental QoL and life satisfaction after the treatment of prostate cancer (9). The relatively larger magnitude of the PTV margin to account for target position uncertainties increases the dose to adjacent OARs and contributes to the increased treatment-related toxicity.

The smaller treatment margins (≤3 mm) were shown to reduce the GU and GI toxicity in prostate radiotherapy. In a prospective trial, Sandler et al (46) treated 64 patients with a 3 mm PTV margin. The patient-reported outcomes were assessed using Expanded Prostate Cancer Index Composite (EPIC) questionnaire. They have concluded that a reduction in margin resulted in less RT related morbidity in comparison to the comparator patients treated with a conventional wider margin. In a similar study, Chaurasia et al (47) reported a reduction in the RT related toxicity of 31 patients with low and intermediate risk who were treated with a 2 mm PTV margin. In both these studies the intrafraction position monitoring and the corrections were performed using electromagnetic tracking and treatments were performed using a general-purpose linear accelerator. Shimizu et al (48) treated 110 prostate cancer patients with low, intermediate and high-risk categories in a real-time tumor-tracking (RTRT) radiotherapy system with a 3 mm PTV margin. In their study, the dose to prostatic urethra was restricted to V70< 10%. The acute and late adverse events were scored according to the Common Toxicity Criteria Adverse Events Version 4 (CTCAE v4.0) scale. The treatment outcome results for the median (range) follow-up period of 31.3(32-82.1)months were presented in their study and showed that they were able to achieve a very low incidence of GU and GI toxicity with the biochemical relapse-free survival equal to the highest reported in the literature.

One of the limitations of this study is that the residual rotational error after the correction is not considered in the delivered dose estimation of the plans generated with different margins. Studies have demonstrated the feasibility of reduction of PTV margin in the prostate considering both translational and rotational position corrections. Wolf et al (49) modelled the dosimetric impact of observed rotational error in prostate SBRT treatment and concluded that owing to the sphericity of the prostate they observed uncompromised dose to CTV even with 3 mm CTV-PTV margin. Another limitation of this study is that the delivered dose assessments were performed based on the planning CT dataset and the day-to-day variation of the OARs is not considered in this study. Maund et al (50) studied the delivered dose in 18 patients based on the CTV and rectum contoured on the weekly pre-treatment CBCT image data and analyzed the delivered dose by sampling the Mean DVH for these structures. Based on their study, no statistically significant difference was found between the NTCP calculated using the original planned dose and the mean rectal DVH derived from the weekly contours. Though the highlighted limitations are important to consider, the results of the present study can be used to assess the potential to reduce the margin with real-time position monitoring and corrections as these limitations are shown to have minimal impact on the delivered dose assessment. An accurate, stable and widely accessible real-time position monitoring system is essential for the wide spread adoption of margin reduction in prostate radiotherapy in the clinics. The SeedTracker position monitoring used in this study shown to accurately auto-segment the implanted seeds and isocenter position with in ±0.5mm of the ground truth data (23, 25).

Though the evidence suggests the reduction in treatment-related toxicity with the smaller magnitude of treatment margins in prostate RT (4648), the widespread adoption of this approach is limited by the lack of real-time position monitoring capabilities in general-purpose linear accelerators. The previous studies used either the specialized treatment delivery system or additional third-party position monitoring systems which are not accessible widely. The main contribution of the present study is that the real-time prostate position data used in this study is derived using an x-ray imaging system available on the general-purpose accelerator and in-house developed position monitoring software (2325). Using this data we demonstrated that the margin reduction can be achieved in conventional fractionation prostate RT with general-purpose linac which will reduce the OARs dose when compared to the current margin used in the clinics and this may potentially result in improved patient QoL after treatment. The advantage of using the SeedTracker system is that it eliminates the need for additional hardware systems to enable real-time position monitoring. This makes it possible to implement this method and optimize margins using existing resources, which can be cost-effective and convenient for clinical practice. By utilizing the SeedTracker system, clinics can benefit from real-time monitoring without the requirement of investing in new hardware. This approach maximizes the utilization of existing resources and simplifies the implementation of real-time position monitoring in prostate radiotherapy.

Conclusions

The SeedTracker based real-time monitoring and position corrections resulted in improved accuracy of dose delivery in prostate RT. This study demonstrates the feasibility of reducing the margin in prostate RT with SeedTracker-based real-time monitoring without compromising the dose delivery accuracy to CTV while reducing dose delivered to critical structures of bladder and rectum.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by Human Research Ethics Committee, South Western Sydney Local Health District. The patients/participants provided their written informed consent to participate in this study.

Author contributions

SA developed the study concept and drafted the manuscript. KW, VD and MS contributed to data analysis and manuscript revision. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Siegel R, DeSantis C, Virgo K, Stein K, Mariotto A, Smith T, et al. Cancer treatment and survivorship statistics, 2012. CA Cancer J Clin (2012) 62:220–41. doi: 10.3322/caac.21149

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2021) 71:209–49. doi: 10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Barton MB, Jacob S, Shafiq J, Wong K, Thompson SR, Hanna TP, et al. Estimating the demand for radiotherapy from the evidence: a review of changes from 2003 to 2012. Radiother Oncol (2014) 112:140–4. doi: 10.1016/j.radonc.2014.03.024

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Zelefsky MJ, Kollmeier M, Cox B, Fidaleo A, Sperling D, Pei X, et al. Improved clinical outcomes with high-dose image guided radiotherapy compared with non-IGRT for the treatment of clinically localized prostate cancer. Int J Radiat Oncol Biol Phys (2012) 84:125–9. doi: 10.1016/j.ijrobp.2011.11.047

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Quan EM, Li X, Li Y, Wang X, Kudchadker RJ, Johnson JL, et al. A comprehensive comparison of IMRT and VMAT plan quality for prostate cancer treatment. Int J Radiat Oncol Biol Phys (2012) 83:1169–78. doi: 10.1016/j.ijrobp.2011.09.015

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Moreno AC, Frank SJ, Garden AS, Rosenthal DI, Fuller CD, Gunn GB, et al. Intensity modulated proton therapy (IMPT)–the future of IMRT for head and neck cancer. Oral Oncol (2019) 88:66–74. doi: 10.1016/j.oraloncology.2018.11.015

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Gill S, Thomas J, Fox C, Kron T, Rolfo A, Leahy M, et al. Acute toxicity in prostate cancer patients treated with and without image-guided radiotherapy. Radiat Oncol (2011) 6:1–7. doi: 10.1186/1748-717X-6-145

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Martin JM, Supiot S, Keall PJ, Catton CN. Moderately hypofractionated prostate external-beam radiotherapy: an emerging standard. Br J Radiol (2018) 91:20170807. doi: 10.1259/bjr.20170807

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ralph N, Ng SK, Zajdlewicz L, Lepore SJ, Heathcote P, Kneebone A, et al. Ten-year quality of life outcomes in men with prostate cancer. Psychooncology (2020) 29:444–9. doi: 10.1002/pon.5255

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Kron T, Thomas J, Fox C, Thompson A, Owen R, Herschtal A, et al. Intra-fraction prostate displacement in radiotherapy estimated from pre-and post-treatment imaging of patients with implanted fiducial markers. Radiother Oncol (2010) 95:191–7. doi: 10.1016/j.radonc.2010.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Budiharto T, Slagmolen P, Haustermans K, Maes F, Junius S, Verstraete J, et al. Intrafractional prostate motion during online image guided intensity-modulated radiotherapy for prostate cancer. Radiother Oncol (2011) 98:181–6. doi: 10.1016/j.radonc.2010.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Langen KM, Willoughby TR, Meeks SL, Santhanam A, Cunningham A, Levine L, et al. Observations on real-time prostate gland motion using electromagnetic tracking. Int J Radiat Oncol Biol Phys (2008) 71:1084–90. doi: 10.1016/j.ijrobp.2007.11.054

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kindblom J, Ekelund-Olvenmark A-M, Syren H, Iustin R, Braide K, Frank-Lissbrant I, et al. High precision transponder localization using a novel electromagnetic positioning system in patients with localized prostate cancer. Radiother Oncol (2009) 90:307–11. doi: 10.1016/j.radonc.2008.08.018

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Polat B, Guenther I, Wilbert J, Goebel J, Sweeney RA, Flentje M, et al. Intra-fractional uncertainties in image-guided intensity-modulated radiotherapy (IMRT) of prostate cancer. Strahlentherapie Und Onkol (2008) 184:668–73. doi: 10.1007/s00066-008-1875-6

CrossRef Full Text | Google Scholar

15. Alonso-Arrizabalaga S, González LB, Ferrando JVR, Peidro JP, Torrecilla JL, Meseguer DP, et al. Prostate planning treatment volume margin calculation based on the ExacTrac X-ray 6D image-guided system: margins for various clinical implementations. Int J Radiat Oncol Biol Phys (2007) 69:936–43. doi: 10.1016/j.ijrobp.2007.06.063

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Badakhshi H, Wust P, Budach V, Graf R. Image-guided radiotherapy with implanted markers and kilovoltage imaging and 6-dimensional position corrections for intrafractional motion of the prostate. Anticancer Res (2013) 33:4117–21.

PubMed Abstract | Google Scholar

17. Lachaine M, Falco T. Intrafractional prostate motion management with the clarity autoscan system. Med Phys Int (2013) 1:72–80.

Google Scholar

18. Trichter F, Ennis RD. Prostate localization using transabdominal ultrasound imaging. Int J Radiat Oncol Biol Phys (2003) 56:1225–33. doi: 10.1016/S0360-3016(03)00269-4

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Keall P, Nguyen DT, O’Brien R, Hewson E, Ball H, Poulsen P, et al. Real-time image guided ablative prostate cancer radiation therapy: results from the TROG 15.01 SPARK trial. Int J Radiat Oncol Biol Phys (2020) 107:530–8. doi: 10.1016/j.ijrobp.2020.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Kupelian P, Willoughby T, Mahadevan A, Djemil T, Weinstein G, Jani S, et al. Multi-institutional clinical experience with the calypso system in localization and continuous, real-time monitoring of the prostate gland during external radiotherapy. Int J Radiat Oncol Biol Phys (2007) 67:1088–98. doi: 10.1016/j.ijrobp.2006.10.026

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Keall PJ, Nguyen DT, O’Brien R, Caillet V, Hewson E, Poulsen PR, et al. The first clinical implementation of real-time image-guided adaptive radiotherapy using a standard linear accelerator. Radiother Oncol (2018) 127:6–11. doi: 10.1016/j.radonc.2018.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Adamson J, Wu Q. Prostate intrafraction motion evaluation using kV fluoroscopy during treatment delivery: a feasibility and accuracy study. Med Phys (2008) 35:1793–806. doi: 10.1118/1.2899998

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Arumugam S, Sidhom M, Xing A, Holloway L. An online x-ray based position validation system for prostate hypofractionated radiotherapy. Med Phys (2016) 43:961–74. doi: 10.1118/1.4940351

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Arumugam S, Pavey D, Oar A, Holloway L, Sidhom M, Lee M. The first real-time intrafraction target position monitoring in pancreas SBRT on an elekta linear accelerator. Phys Eng Sci Med (2021) 44(3):1–14. doi: 10.1007/s13246-021-01007-0

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Arumugam S, Sidhom M, Truant D, Xing A, Udovitch M, Holloway L. Variable angle stereo imaging for rapid patient position correction in an in-house real-time position monitoring system. Phys Med (2017) 33:170–8. doi: 10.1016/j.ejmp.2016.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Cardoso M, Sidhom M, Udovitch M, Young T, Arumugam S. Implementing online position monitoring for prostate radiotherapy using an in-house position monitoring system: user experience and impact on workforce. J Med Imaging Radiat Oncol (2023) 67:111–8. doi: 10.1111/1754-9485.13499

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Van Herk M. Errors and margins in radiotherapy. Semin Radiat Oncol (2004) 14:52–64. doi: 10.1053/j.semradonc.2003.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Van Herk M, Remeijer P, Lebesque JV. Inclusion of geometric uncertainties in treatment plan evaluation. Int J Radiat Oncol Biol Phys (2002) 52:1407–22. doi: 10.1016/S0360-3016(01)02805-X

PubMed Abstract | CrossRef Full Text | Google Scholar

30. di Franco F, Baudier T, Gassa F, Munoz A, Martinon M, Charcosset S, et al. Minimum non-isotropic and asymmetric margins for taking into account intrafraction prostate motion during moderately hypofractionated radiotherapy. Phys Med (2022) 96:114–20. doi: 10.1016/j.ejmp.2022.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Arumugam S, Young T, Johnston M, Pavey D, Lee M. The delivered dose assessment in pancreas SBRT with the target position determined using an in-house position monitoring system. Front Oncol (2022) 12. doi: 10.3389/fonc.2022.1009916

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Yartsev S, Bauman G. Target margins in radiotherapy of prostate cancer. Br J Radiol (2016) 89:20160312. doi: 10.1259/bjr.20160312

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Zelefsky MJ, Fuks Z, Happersett L, Lee HJ, Ling CC, Burman CM, et al. Clinical experience with intensity modulated radiation therapy (IMRT) in prostate cancer. Radiother Oncol (2000) 55:241–9. doi: 10.1016/S0167-8140(99)00100-0

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Beltran C, Herman MG, Davis BJ. Planning target margin calculations for prostate radiotherapy based on intrafraction and interfraction motion using four localization methods. Int J Radiat Oncol Biol Phys (2008) 70:289–95. doi: 10.1016/j.ijrobp.2007.08.040

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Kotte ANTJ, Hofman P, Lagendijk JJW, van Vulpen M, van der Heide UA. Intrafraction motion of the prostate during external-beam radiation therapy: analysis of 427 patients with implanted fiducial markers. Int J Radiat Oncol Biol Phys (2007) 69:419–25. doi: 10.1016/j.ijrobp.2007.03.029

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Skarsgard D, Cadman P, El-Gayed A, Pearcey R, Tai P, Pervez N, et al. Planning target volume margins for prostate radiotherapy using daily electronic portal imaging and implanted fiducial markers. Radiat Oncol (2010) 5:1–11.

PubMed Abstract | Google Scholar

37. Steiner E, Georg D, Goldner G, Stock M. Prostate and patient intrafraction motion: impact on treatment time-dependent planning margins for patients with endorectal balloon. Int J Radiat Oncol Biol Phys (2013) 86:755–61. doi: 10.1016/j.ijrobp.2013.02.035

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Both S, Wang KK-H, Plastaras JP, Deville C, Ad VB, Tochner Z, et al. Real-time study of prostate intrafraction motion during external beam radiotherapy with daily endorectal balloon. Int J Radiat Oncol Biol Phys (2011) 81:1302–9. doi: 10.1016/j.ijrobp.2010.08.052

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Wang KK-H, Vapiwala N, Deville C, Plastaras JP, Scheuermann R, Lin H, et al. A study to quantify the effectiveness of daily endorectal balloon for prostate intrafraction motion management. Int J Radiat Oncol Biol Phys (2012) 83:1055–63. doi: 10.1016/j.ijrobp.2011.07.038

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Pang EPP, Knight K, Fan Q, Tan SXF, Ang KW, Master Z, et al. Analysis of intra-fraction prostate motion and derivation of duration-dependent margins for radiotherapy using real-time 4D ultrasound. Phys Imaging Radiat Oncol (2018) 5:102–7. doi: 10.1016/j.phro.2018.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Fast MF, Kamerling CP, Ziegenhein P, Menten MJ, Bedford JL, Nill S, et al. Assessment of MLC tracking performance during hypofractionated prostate radiotherapy using real-time dose reconstruction. Phys Med Biol (2016) 61:1546. doi: 10.1088/0031-9155/61/4/1546

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Olanrewaju A, Court LE, Zhang L, Naidoo K, Burger H, Dalvie S, et al. Clinical acceptability of automated radiation treatment planning for head and neck cancer using the radiation planning assistant. Pract Radiat Oncol (2021) 11:177–84. doi: 10.1016/j.prro.2020.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Lee WR, Dignam JJ, Amin M, Bruner D, Low D, Swanson GP, et al. NRG oncology RTOG 0415: a randomized phase III non-inferiority study comparing two fractionation schedules in patients with low-risk prostate cancer. J Clin Oncol (2016) 34, no. 2_suppl (January 10, 2016) 1–1. doi: 10.1200/jco.2016.34.2_suppl.1

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Catton CN, Lukka H, Gu C-S, Martin JM, Supiot S, Chung PWM, et al. Randomized trial of a hypofractionated radiation regimen for the treatment of localized prostate cancer. J Clin Oncol (2017) 35:1884–90. doi: 10.1200/JCO.2016.71.7397

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Dearnaley D, Syndikus I, Mossop H, Khoo V, Birtle A, Bloomfield D, et al. Conventional versus hypofractionated high-dose intensity-modulated radiotherapy for prostate cancer: 5-year outcomes of the randomised, non-inferiority, phase 3 CHHiP trial. Lancet Oncol (2016) 17:1047–60. doi: 10.1016/S1470-2045(16)30102-4

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Sandler HM, Liu P-Y, Dunn RL, Khan DC, Tropper SE, Sanda MG, et al. Reduction in patient-reported acute morbidity in prostate cancer patients treated with 81-gy intensity-modulated radiotherapy using reduced planning target volume margins and electromagnetic tracking: assessing the impact of margin reduction study. Urology (2010) 75:1004–8. doi: 10.1016/j.urology.2009.10.072

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Chaurasia AR, Sun KJ, Premo C, Brand T, Tinnel B, Barczak S, et al. Evaluating the potential benefit of reduced planning target volume margins for low and intermediate risk patients with prostate cancer using real-time electromagnetic tracking. Adv Radiat Oncol (2018) 3:630–8. doi: 10.1016/j.adro.2018.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Shimizu S, Nishioka K, Suzuki R, Shinohara N, Maruyama S, Abe T, et al. Early results of urethral dose reduction and small safety margin in intensity-modulated radiation therapy (IMRT) for localized prostate cancer using a real-time tumor-tracking radiotherapy (RTRT) system. Radiat Oncol (2014) 9:1–8. doi: 10.1186/1748-717X-9-118

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Wolf J, Nicholls J, Hunter P, Nguyen DT, Keall P, Martin J. Dosimetric impact of intrafraction rotations in stereotactic prostate radiotherapy: a subset analysis of the TROG 15. 01 SPARK trial Radiother Oncol (2019) 136:143–7. doi: 10.1016/j.radonc.2019.04.013

CrossRef Full Text | Google Scholar

50. Maund IF, Benson RJ, Fairfoul J, Cook J, Huddart R, Poynter A. Image-guided radiotherapy of the prostate using daily CBCT: the feasibility and likely benefit of implementing a margin reduction. Br J Radiol (2015) 87:20140459. doi: 10.1259/bjr.20140459

CrossRef Full Text | Google Scholar

Keywords: prostate radiotherapy, intrafraction motion, real-time position monitoring, CTV-PTV margin, treatment-related toxicity, quality of life

Citation: Arumugam S, Wong K, Do V and Sidhom M (2023) Reducing the margin in prostate radiotherapy: optimizing radiotherapy with a general-purpose linear accelerator using an in-house position monitoring system. Front. Oncol. 13:1116999. doi: 10.3389/fonc.2023.1116999

Received: 06 December 2022; Accepted: 27 June 2023;
Published: 13 July 2023.

Edited by:

Taoran Li, University of Pennsylvania, United States

Reviewed by:

Dong Han, University of Maryland, United States
Stephanie Yoon, City of Hope National Medical Center, United States
Aaron Falchook, Memorial Healthcare System, United States

Copyright © 2023 Arumugam, Wong, Do and Sidhom. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sankar Arumugam, Sankar.Arumugam@health.nsw.gov.au

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.