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Optimal set of grid size and angular increment for practical dose calculation using the dynamic conformal arc technique: a systematic evaluation of the dosimetric effects in lung stereotactic body radiation therapy

Ji-Yeon Park12, Siyong Kim3, Hae-Jin Park124, Jeong-Woo Lee5, Yeon-Sil Kim6 and Tae-Suk Suh12*

Author Affiliations

1 Department of Biomedical Engineering, The Catholic University of Korea Songeui Campus, Banpo4-dong, Seocho-gu, Seoul 137-701, Korea

2 Research Institute of Biomedical Engineering, The Catholic University of Korea Songeui Campus, Banpo4-dong, Seocho-gu, Seoul 137-701, Korea

3 Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA

4 Department Radiation Oncology, Ajou University School of Medicine, Suwon 443-721, Korea

5 Department of Radiation Oncology, Konkuk University Medical Center, Seoul 143-729, Korea

6 Department of Radiation Oncology, Seoul St. Mary’s Hospital, Seoul 137-701, Korea

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Radiation Oncology 2014, 9:5  doi:10.1186/1748-717X-9-5


The electronic version of this article is the complete one and can be found online at: http://www.ro-journal.com/content/9/1/5


Received:10 March 2013
Accepted:23 December 2013
Published:4 January 2014

© 2014 Park et al.; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

To recommend the optimal plan parameter set of grid size and angular increment for dose calculations in treatment planning for lung stereotactic body radiation therapy (SBRT) using dynamic conformal arc therapy (DCAT) considering both accuracy and computational efficiency.

Materials and methods

Dose variations with varying grid sizes (2, 3, and 4 mm) and angular increments (2°, 4°, 6°, and 10°) were analyzed in a thorax phantom for 3 spherical target volumes and in 9 patient cases. A 2-mm grid size and 2° angular increment are assumed sufficient to serve as reference values. The dosimetric effect was evaluated using dose–volume histograms, monitor units (MUs), and dose to organs at risk (OARs) for a definite volume corresponding to the dose–volume constraint in lung SBRT. The times required for dose calculations using each parameter set were compared for clinical practicality.

Results

Larger grid sizes caused a dose increase to the structures and required higher MUs to achieve the target coverage. The discrete beam arrangements at each angular increment led to over- and under-estimated OARs doses due to the undulating dose distribution. When a 2° angular increment was used in both studies, a 4-mm grid size changed the dose variation by up to 3–4% (50 cGy) for the heart and the spinal cord, while a 3-mm grid size produced a dose difference of <1% (12 cGy) in all tested OARs. When a 3-mm grid size was employed, angular increments of 6° and 10° caused maximum dose variations of 3% (23 cGy) and 10% (61 cGy) in the spinal cord, respectively, while a 4° increment resulted in a dose difference of <1% (8 cGy) in all cases except for that of one patient. The 3-mm grid size and 4° angular increment enabled a 78% savings in computation time without making any critical sacrifices to dose accuracy.

Conclusions

A parameter set with a 3-mm grid size and a 4° angular increment is found to be appropriate for predicting patient dose distributions with a dose difference below 1% while reducing the computation time by more than half for lung SBRT using DCAT.

Keywords:
Dynamic conformal arc therapy; Grid size; Angular increment; Lung; Stereotactic body radiation therapy

Background

Stereotactic body radiation therapy (SBRT) has been employed to increase the local tumor control of lung and liver cancer treatments [1,2]. Various techniques related to the treatment planning, the beam delivery, and the imaging have been developed to achieve a more accurate and conformal dose distribution [3-6]. To effectively deliver the conformal dose distribution to the planning target volume (PTV) while sparing organs at risk (OARs), an arc track-based beam irradiation technique and a multi-leaf collimator (MLC) for adjusting the field shape are used to implement dynamic conformal arc therapy (DCAT) and volumetric modulated arc therapy (VMAT).

DCAT can provide conformal dose distributions by delivering doses with an MLC dynamically conforming its shape to the beam’s-eye-view projections of the PTV with relatively fast dose computation [3,7-9], while VMAT delivers the optimized dose distribution using a small beamlet-based intensity modulation by a combination of several separated MLC segments per beam [9]. Even though DCAT does not use intensity-modulated beams, it can still be used to satisfy the conformity requirements of planned doses [9,10]. However, contrary to the continuous beam delivery with a rotating gantry in the DCAT implementation, a grid-based discretized dose calculation for a number of beams with dose variation depending on their angular increment can cause systematic dose errors.

Although a smaller grid size can yield a more accurate and conformal dose calculation, particularly in regions of high dose gradient, dose calculations using a finer calculation grid size require a longer computational time [11,12]. The number of control points determined by the angular increment also influences the calculation accuracy and time. It is critical to determine plan parameters to balance the dose calculation accuracy and the computational time efficiency in order to maximize the quality of the plan while minimizing the planning time [11,13-15] for efficient clinical application of DCAT. When several dose computations are needed to determine a more conformal dose distribution by verifying the variation in dose distributions during a trial-and-error-based forward plan optimization process, a compromise between accuracy and efficiency is inevitable in DCAT planning [16]. An evaluation of the dosimetric impact of planning parameters would serve as an important step toward creating a SBRT plan using an appropriate grid size and angular increment.

The purpose of this study was to determine the optimal plan parameter set of values for the dose calculation grid size and angular increment for lung SBRT using the DCAT technique that will provide clinically acceptable dose accuracy and efficient computational time. Dose variations and computation times with different grid sizes and angular increments were analyzed for spherical tumors in thorax phantom image sets and patient computed tomography (CT) images. A systematic evaluation of the dose variations and the calculation time would provide a guideline for selecting appropriate planning parameters and estimating dose errors for DCAT.

Materials and methods

Planning system and dose calculation

Dose distributions for lung SBRT plans using DCAT were calculated by the analytical anisotropic algorithm (AAA) (v. 8.6.15, Varian Medical Systems, Palo Alto, CA) in an Eclipse planning system (v. 8.6.17, Varian Medical Systems). The dose distributions were calculated in the planning system with 24 GB of RAM and a dual-core processor running under the Microsoft Windows® 64-bit operating system. We adopted a commonly used dose-fractionation scheme of 48 Gy in 4 fractions for lung SBRT [1] to estimate the delivered doses using CT image sets of 3-mm thickness for the phantom and patient studies.

Phantom study

To estimate the dose variation in the tumor volumes and OARs with variable plan parameter sets (i.e., combinations of a variable grid size and an angular increment), 3 spherical clinical target volumes (CTVs) with diameters of 1, 2, and 3 cm and the OARs including the spinal cord, the lung, and the heart were delineated in a thorax phantom (002LFC, CIRS, Inc., Norfolk, VA). After averaging the Hounsfield unit (HU) values of the CTVs defined in selected patients for this study, the average value of 75 HU was overridden to the CTVs in the phantom to simulate dosimetric effects in the cases of individual patients (Figure 1). To define PTVs with diameters of 2 cm (S2), 3 cm (S3), and 4 cm (S4), a 5-mm margin was added to each CTV with diameters of 1 cm, 2 cm, and 3 cm, respectively, in consideration of organ motion and set-up misalignment.

thumbnailFigure 1. A phantom computed tomography (CT) image and delineated planning target volume (PTV) and organs at risk (OARs). The clinical target volume (CTV) overridden with 75 Hounsfield Unit value, the PTV created by adding a 5 mm-margin to the CTV, and the OARs (including the lung, the heart, and the spinal cord) were contoured on the phantom CT image sets. A set of 8 simulated spinal cord volumes were placed in different distances with 4 located 9 cm from the isocenter, and the other 4 at 11 cm from it. When a line connecting the isocenter and the original spinal cord in the phantom was chosen as the 0° azimuthal angle, and the other simulated spinal cords were positioned at 0°, 5°, 10°, and 20° in the clockwise direction. Each volume is denoted as Vds,Θ, where ds is the distance from the isocenter to each spinal cord, and Θ is the azimuthal angle.

When the numerical beams at every angular increment are irradiated to cover the PTV with the prescribed dose, a uniform dose distribution is created near the isocenter. As the distance between the axes of adjacent beams increases at regions far from the isocenter, the irradiated and unirradiated regions are sectionalized according to the angular increment. Because OARs of small volume can be placed on or off the beam path according to the distance from the field axis to the OAR, the predicted OAR doses are varied according to the angular position of the OAR with respect to the isocenter even in the same plan. To evaluate whether the plan parameter sets can provide an acceptable calculation accuracy of the OAR doses for the diverse cases encountered in our study, we delineated hypothetical OARs at different distances and angular positions from the isocenter. A set of 8 different spinal cords having a relatively small volume was arranged, as shown in Figure 1, with 4 of them at a distance (ds) of 9 cm from the isocenter in the axial plane and the other 4 at a distance of 11 cm from the isocenter. Four hypothetical spinal cords at the same distance were separated (clockwise) by 5°, 10°, and 20° with respect to the one chosen as the 0° azimuthal angle. These simulated spinal cords were denoted as Vds where ds is the distance, and Θ is the azimuthal angle. For example, V9,20 indicates the (hypothetical) spinal cord volume located at a 9-cm distance and a 20° azimuthal angle.

Patient study

Dose variations as a function of variable grid size and angular increment were also evaluated to determine the appropriate plan parameter sets in patient cases having different volumes and positions of structures. Contrary to the phantom study in which all the PTV volumes were spherical, relatively irregularly shaped PTVs were chosen for the patient study. A total of 9 lung SBRT patient data sets were retrospectively selected. As the patients for lung SBRT undergo four-dimensional (4D) CT scanning to measure the motion range of tumors at our institution, the internal target volume (ITV) was defined using 4D CT images. The PTV was created by adding a 0.5-cm margin in the axial plane and 1.0 cm-margin in the longitudinal plane to the ITV following the referenced SBRT protocol [1]. For all patients, the PTV was smaller than an equivalent diameter (dequi) of 5.5 cm and located at more than 2 cm from the bronchial tree [1], where dequi was defined as the diameter of a sphere having the same volume as the PTV.

Because the dosimetric effects on OARs distant from the isocenter can be varied by changing the field size for PTV, the patients were divided into 3 groups based on the dequi of the PTV: small (3 cm ≤ dequi < 3.5 cm) (G1), medium (3.5 cm ≤ dequi < 4.5 cm) (G2), and large (4.5 cm ≤ dequi ≤ 5.5 cm) (G3). In each group, 3 patients with spinal cords proximal to the isocenter (ds < 6 cm), at an intermediate position (6 cm ≤ ds < 10 cm), and distant (10 cm ≤ ds) from the isocenter were included to evaluate the dose variation according to the plan parameter sets.

Plan parameters and evaluation

To determine the optimal grid size and angular increment to achieve a fast dose calculation without compromising dose calculation accuracy, dose distributions were calculated using grid sizes of 2, 3, and 4 mm and angular increments of 2°, 4°, 6°, and 10° in both the phantom and patient studies. The four angular intervals were selected based on plan parameters for linac-based radiosurgery and arc therapy [12,17]. Plan optimization that allowed coverage of 95% of the PTV with the prescribed dose in the same calculation volume was carried out.

The dosimetric effects of each plan parameter were evaluated using the dose–volume histograms (DVHs) and the variation in the OAR doses. Considering the dose constraints in the SBRT protocol [1], the OAR doses were evaluated at the same volume as the “Max Point Dose” for serial tissue and the “Critical Volume Dose Max” for parallel tissue. Because most of the primary OARs in lung SBRT are classified as serial tissues except for the normal lung in the SBRT protocol, the corresponding normal lung dose at a volume of 1000 cc and the maximum dose of other OARs were analyzed according to the dose constraint in the four-fraction scheme as shown in Table 1[1]. We summarized the relative variation in monitor units (MUs) and structure doses by normalizing them with respect to values in a reference plan using a 2-mm grid size and a 2° angular increment. The reference MU and doses were presented as absolute values. The computation times were compared to evaluate the time efficiency for each of the dose calculations for an SBRT plan.

Table 1. Dose constraints for organs at risk in lung stereotactic body radiation therapy[1], when the dose scheme of 12 Gy in 4 fractions is used

A dose calculation uncertainty of less than 2% has been recommended in inhomogeneous media to ensure that the total uncertainty in dose delivery to patients is less than 5% [18-20]. When the doses predicted by AAA were delivered to a lung phantom, the total dose uncertainty has been estimated to be approximately 4% [20,21]. If we consider an uncertainty of 2.5%, caused by patient set-up and organ motion during treatment, an additional dose calculation uncertainty due to selecting the large grid size and angular increment should be less than 1.7% to meet the criteria of the total dose uncertainty. A plan parameter set which yields a dose distribution with a dose difference less than 1% and reduced calculation time could be judged as suitable for dose calculations in DCAT, because other larger errors can come into play in dose delivery to inhomogeneous materials.

Results

Phantom study

The PTV and OARs showed dose variations according to the plan parameter sets, the structure’s position with respect to the isocenter, and the field sizes. Quantitative changes in MUs and the dose variation in the PTV and OARs are summarized in Table 2.

Table 2. Monitor units (MUs) and structure doses in the form of a ratio normalized to a reference value from the case of a 2-mm grid size and 2° angular increment, when different plan parameter sets (grid sizes of 2 mm, 3 mm, and 4 mm, and angular increments of 2°, 4°, 6°, and 10°) were used in the thorax phantom for the cases of spherical targets [S2 (2-cm diameter), S3 (3-cm diameter), and S4 (4-cm diameter)]

Dose differences due to the effects of grid size and angular increment became more obvious in the DCAT plan for the smaller PTV of S2. When the dose distributions calculated for different grid sizes and an angular increment of 2° were compared in S2, the grid size of 4 mm required higher values of the MU and showed higher Dmean of the PTV up to a maximum increase of 3% for the MU (> 50.0) and a 1% increase for the Dmean (60.8 cGy) than that of the 2-mm grid size, respectively. The maximum dose of the spinal cord and D1000cc of the lung increased by 3% (19.6 cGy) and 5% (4.0 cGy), when the large grid size of 4 mm and 10° angular increment were used. The grid size of 3 mm led to a dose difference of less than 1% in the MU (< 14), PTV (< 6.4 cGy), spinal cord (< 5.5 cGy), and heart (< 8.6 cGy). Although the dose difference due to the grid size effect was difficult to discern in the DVH of the OARs, we could observe that the DVH lines of the PTV shifted to the right (i.e., toward the higher dose range) for all cases tested, as the grid size increased (Figure 2).

thumbnailFigure 2. Dose–volume histograms for grid sizes of 2 mm, 3 mm, and 4 mm in the plan for S2. Each plan was optimized to fully cover 95% of the planning target volume with the prescribed dose.

When the same angular increment was used for dose calculations with smaller grid sizes (i.e., a 4-mm grid with a 10° increment vs. a 2-mm grid with a 10° increment), the largest grid size caused the maximum dose difference of 4% (41.7 cGy) in the spinal cord in S4 and 4% (47.6 cGy) in the heart in S2. Even though the dose calculation using a 3-mm grid size also caused an increase in the MUs and average dose (Dmean) of the PTV, the variations in the MUs and Dmean of the PTV were less than 1%. The maximum dose differences due to the grid size of 3 mm were respectively 3% (18.1 cGy) and 1% (9.1 cGy) in the spinal cord at angular increments of 10° and 2°.

Dose undulation was observed in the calculated dose distributions, particularly in low-dose regions. The dose distribution estimated using 10° increments showed an undulated isodose pattern at isodose levels lower than 30% for S3 [Figure 3(a)]. However, an angular increment of 2° provides dose undulation at a 10% isodose level [Figure 3(b)]. Dose undulation generated by discrete calculation using every angular increment of the beam caused over- and under-estimated OAR doses, as shown in DVHs (Figure 4) and listed in Table 2. When a 2-mm grid size was used for dose calculation, an angular increment of 10° predicted a 2% lower (14.5 cGy) and 9% higher (69.1 cGy) maximum dose than a 2° increment in the spinal cord. When the same grid size was used, the large angular increment caused relative dose variation of up to 12%, however, the absolute difference was 9.0 cGy. While the differences for the number of MUs and the PTV dose between a 2° angular increment and larger angular increments increased as the grid size increased in S2, the angular increment effect on the variation in the number of MUs and the PTV dose value was rarely shown (< 1 cGy) for the large PTV (Table 2).

thumbnailFigure 3. Undulated dose distributions in an axial plane for the case of S3. Doses were predicted for the spherical planning target volume with a diameter of 3 cm using a 2-mm grid size and angular increments of (a) 10° and (b) 2°.

thumbnailFigure 4. Dose–volume histograms for the spinal cord at V11,0. The volume is located at 11 cm-distance from the isocenter at a 0° azimuthal angle. Histograms are drawn according to the applied angular increments (2°, 4°, 6°, and 10°) in the spherical planning target volume for (a)S2 (2-cm diameter) and (b)S4 (4-cm diameter).

The plan parameter set of a 3-mm grid size and an angular increment of 4° was able to achieve a dose difference of less than 1% in all OARs tested and in all PTV doses except for a normal lung exposed to a dose of less than 90 cGy in the phantom study for all PTV sizes.

Patient study

The larger grid sizes caused PTV dose increases of less than 1%, corresponding to average values of 7.3 ± 3.7 cGy for a 3-mm grid and 26.2 ± 6.7 cGy for a 4-mm grid. The increases in the number of MUs were less than 1% (5.9 ± 2.3) and 2% (19.8 ± 5.2), respectively. The variations in the number of MUs and of the PTV and OARs doses are shown in Table 3. However, the number of MUs and the PTV doses were presented according to only the grid sizes by averaging each value at different angular increments, because the angular increment effect on the variation in the number of MUs (<1) and on the PTV doses (< 1 cGy) was insignificant.

Table 3. Monitor units (MUs) and structure doses in the form of a ratio normalized to a reference value from the case of a 2-mm grid size and 2° angular increment, when different plan parameter sets (grid sizes of 2 mm, 3 mm, and 4 mm, and angular increments of 2°, 4°, 6°, and 10°) were used in patient groups divided according to the equivalent diameter (dequi) of the planning target volume (PTV)

Although the smallest angle of 2° was used, the 4-mm grid size caused a dose increase of up to 2% (55.3 cGy) in the heart and 2% (46.5 cGy) in the spinal cord. The largest dose variation caused by the 3-mm grid size was less than 1% (21.2 cGy) in the spinal cord, as the same angular increment was used (i.e., a 2-mm grid with a 10° increment vs. a 3-mm grid with a 10° increment). OAR doses were also influenced by the organ position with respect to the isocenter and the beam geometry, as can be seen in the variation in the isodose lines according to the angular increment (Figure 5). While the angular increment of 10° caused the dose difference of 4% (38.4 cGy) to the spinal cord for the distance case (G1), the angular increment effect only had a slight effect (< 5.0 cGy) on the spinal cord located relatively close to the isocenter, when the 2-mm grid size was used. The esophagus showed a dose difference from less than 1% to 5% (45.8 cGy) under the larger angular increment, whereas the dose variation in the normal lung dose was less than 5 cGy. When the grid size and angular increment were respectively smaller than 3 mm and 6°, the OAR dose was predicted to have a dose difference of less than 10 cGy (1%) except for the heart, which is exposed to less than 70 cGy.

thumbnailFigure 5. Comparison of undulated dose distributions for angular increments in the patient cases. A predicted doses were calculated using a 2-mm grid size and angular increments of (a) 2°, (b) 4°, (c) 6°, and (d) 10°.

Calculation time

We were able to reduce the calculation time by averages of 53 ± 1% and 68 ± 1% in the phantom study and 57 ± 3% and 73 ± 2% in the patient study by using the 3-mm and 4-mm grid sizes (Table 4), respectively, when the same angular increment was used. Using the angular increments of 4°, 6°, and 10° reduced the calculation time by 49 ± 5%, 65 ± 3%, and 78 ± 2% in the phantom study and 48 ± 3%, 64 ± 3%, and 78 ± 2% in the patient study, respectively, when the same grid size was used. With regard to using an appropriate set of grid size and angular increment parameters in the phantom and patient studies, a 3-mm grid size and a 4° (6°) increment could provide dose distributions in a time that is reduced by 78% (85%) with respect to that of the reference set of a 2-mm grid and a 2° increment.

Table 4. Comparison of the dose computation time (in the form of a ratio normalized to the time for the case of a 2-mm grid size and a 2° angular increment) in the phantom and patient cases for different plan parameter sets

Discussion and conclusions

The interpolated doses based on the coarser grid points generally predicted lower doses than those predicted based on finer grid points in high-dose gradient regions of the generally prescribed isodose level (e.g., 60 to 90%) [1,11]. In addition, the beam penumbra region shows a steeper dose fall-off due to lateral electron disequilibrium, when the small fields are irradiated [22]. Because underdosage around the PTV periphery becomes severe since the effect of electron disequilibrium is critical when using small fields, the dose error in the dose distribution predicted using a coarser grid would be increased at high-dose gradients. We were able to observe the largest dose increase for the PTV and OARs in the plan for S2.

Niemierko and Goitein evaluated the accuracy of interpolated doses by using linear interpolation according to the grid size and a Fermi function presenting a one-dimensional high-gradient dose profile for beam penumbra [11]. They also described how large grid sizes showed interpolated doses that were lower than the reference doses around the general prescribed isodose level. A lower isodose level should be selected to deliver a higher dose than the prescribed value to meet the PTV dose and coverage [18]. We were able to compare the prescribed isodose level according to the PTV size in a planning system. Selecting a lower prescribed isodose level owing to the lower dose estimated by using large grid sizes required a larger number of MUs. Unintended overdose might be delivered to the patients. This phenomenon was also explored by Dempsey et al. by showing lower PTV coverage for large grid sizes [23]. The discrete beam arrangement based on the angular increment showed a jagged isodose distribution, which is not expected in actual continuous beam delivery. Dose undulation becomes severe as the interval between beam axes increases with large angular increment [24]. As the irradiated field size is decreased for smaller PTVs, the probability that a small critical organ is located outside of the fields would also increase. The larger angular increment effect on structure doses was shown in the plan for S2 in our study.

Because the discretized dose calculation based on the dose mesh determined by the grid size and its errors are inevitable in a treatment planning system, evaluation of dose distributions with the predicted dose differences according to the variable plan parameters is useful for guiding appropriate plan parameters to achieve a balance between accuracy and efficiency. The possible dose variation due to the angular increment should be considered for OARs in serial tissue such as the spinal cord to avoid unnecessary complications, as the spinal cord showed the largest dose difference under the large angular increment. Sometimes, the spinal cord dose could be insignificant, but even in those cases, it would be necessary to get more accurate dose information for future use such as for the case of either retreatment or treatment of adjacent regions. As one of the alternative methods for efficient dose computation in a planning system, we can consider applying the small angular increment for critical organs and a relatively large angular increment for normal tissues.

We found that a plan parameter set consisting of a 3-mm grid size and a 4° angular increment is suitable for the phantom study and a 3-mm grid size and a 6° angular increment is suitable for patient cases. A phantom study systemically evaluating the range of probable dose differences under the angular increment effect showed that a dose difference of 3% can occur even for spinal cords at the same distance. We were able to observe that one of the hypothetical spinal cords in the intermediate and distant groups showed a dose difference from the reference value of higher than 3%. This could suggest that the dose difference on a small critical organ that is distant from the isocenter can be higher than the acceptable dose error owing to the slight difference in angular position although the dose distributions were created for patients with structures of similar size and anatomical geometry. The 3-mm grid size and 4° angular increment would be more appropriate for DCAT plans for lung SBRT.

To judge whether a 3-mm grid size and 10° angular increment are applicable only to patients with proximal spinal cords, we evaluated dose distributions in three more patient cases with PTVs of different sizes and proximal spinal cords. All evaluated PTV and OARs doses also showed dose differences of less than 1%. We might consider a 3-mm grid size and a 10° angular increment for patients with all small OARs, such as the spinal cord and esophagus, placed within a 6-cm distance from the isocenter. However, it might be difficult to satisfy the dose constraint of spinal cord in lung SBRT, as the spinal cord gets closer to the isocenter. Dose evaluation of small OAR becomes more critical even though the dose difference by the variable plan parameters is insignificant. If we use the plan parameter set of 3-mm grid size and 10° angular increment in dose calculation for patients with a proximal small OAR in serial tissue type, maximum dose of the OAR should be evaluated.

The use of a larger grid size and angular increment led to a reduction in computation time. Although the dose calculation is required for complex tissue composition in patient studies, the time reduction ratio achieved by applying variable plan parameter sets was similar in the phantom and patient studies. When the large grid size is used in the dose calculation, it was possible to reduce the calculation time by approximately at a rate inverse square of the grid sizes. We were also able to speed up the dose calculation by a factor of the inverse ratio of the number of beams for the larger grid size to the number of beams for the reference case, for a particular angular increment. The appropriate plan parameter set can be efficiently determined based on the correlation of the dose calculation accuracy and the time consumption.

Both DCAT and VMAT calculate and deliver optimal planned doses during gantry rotation based on the discrete beam configuration and dynamic MLC apertures at each angular increment. While DCAT delivers conformal doses using a relatively small number of MUs, a constant dose rate, and MLC apertures corresponding to the projection of the PTV at each angular increment [9], VMAT provided a high dose gradient using intensity modulation through a number of deliverable MLC segments converted from non-uniform fluence optimized to satisfy the dose–volume constraints of primary structures in inverse planning [12,24,25]. Under the case where various dynamic components, such as gantry rotation speed, dose rate, and MLC leaf moving speed, are synchronized, VMAT achieves conformal dose distributions. However, VMAT can have more uncertainty when using an intensity modulation technique, particularly for targets involved in significant respiratory motion, owing to the systematic interplay effect between the target motion and the beam aperture motion, as demonstrated by Berbeco et al. [26]. Such uncertainty is expected to be even larger under hypo-fractionation treatment, which is typical in SBRT. In the current health care system, the higher cost of VMAT compared to DCAT is of concern for both billing and human resource utilization. Thus, DCAT is the first choice in our clinic, and VMAT is used only in situations in which it is very difficult to obtain an acceptable dose distribution with DCAT. Examples of such situations include cases where multiple targets are close together, or when critical organs are located extremely close to the target.

In general, it is not easy to predict dose errors for OARs in advance with variable angular increments [8,27]. The systematic evaluation of the dosimetric effect of plan parameters on normal structures in different positions would provide a reference to estimate the approximate error range in DCAT plans. The analysis of dose variation as a function of plan parameters enabled us to determine an optimal set of plan parameters to achieve a balance between accuracy and efficiency in the planning process. Under the conditions considered in this study, a 3-mm grid size and a 4° angular increment are suggested as an optimal set of planning parameters for routine clinical practice with acceptable time efficiency and without a significant compromise in dose accuracy in DCAT.

Competing interests

This manuscript has not been published or presented elsewhere in part or in entirety, and is not under consideration by another journal. All study participants provided informed consent, and the study design was approved by the appropriate ethics review boards. All the authors have approved the manuscript and agree with submission to your esteemed journal. There are no conflicts of interest to declare.

Authors’ contributions

JP, SK, and TS participated in study design. SK and TS contributed to conception and organization of the study. JP drafted manuscript and conducted data analysis. HP and JL performed radiation treatment planning. JP, SK, HP, JL, and TS participated in interpretation of the results. YK collected data and delineated contours of target and critical organs. SK and TS edited the manuscript and all authors have read, reviewed, and approved the final manuscript.

Authors’ information

SK, YK, and TS are members of ASTRO (American Society for Therapeutic Radiology and Oncology). JP, HP, JL, SK, TS joined AAPM (American Association of Physicists in Medicine). JP, HP, JL, YK, and TS are also members of the KOSTRO (Korean Society of Therapeutic Radiology and Oncology) and KSMP (Korean Society of Medical Physics).

JY, Ph.D. Researcher, Research Institute of Biomedical Engineering.

SK, Ph.D. Professor & Director, Clinical Medical Physics and Residency Program in Dept. of Radiation Oncology.

JL, Ph.D. Research Professor & Medical Physicist in Dept. of Radiation Oncology.

HP, Ph.D.: Student majoring in Medical Physics of Radiation Therapy & Medical Physicist in Dept. of Radiation Oncology.

YK, M.D., Ph.D.: Radiation Oncologist, Specialty-Lung and Head & Neck Cancer.

TS, Ph.D.: Professor, Dept. of Biomedical Engineering.

Acknowledgements

This research was supported by the Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (Grant No. 2009–00420).

References

  1. Videtic GM, Signh AK, Chang JY, Le QT, Parker W, Oliver KR, Schild SE, Hu C: A Randomized phase II study 2 comparing sterotactic body radiation therapy (SBRT) schedules for medically inoperable patients with stage I peripheral non-small cell lung cancer.

    Radiation Therapy Oncology Group

    http://www.rtog.org/ClinicalTrials/ProtocolTable/StudyDetails.aspx?action=openFile&FileID=4673 webcite

    OpenURL

  2. Timmerman R, Abdulrahman R, Kavanagh BD, Meyer J: Lung cancer: a model for implementing stereotactic body radiation therapy into practice. In IMRT, IGRT, SBRT: advanced in the treatment planning and delivery of radiotherapy. Edited by Meyer JL, Kavanagh JA, Purdy JA, Timmerman R. Basel: Karger; 2007:367-385. OpenURL

  3. Solberg TD, Boedeker KL, Fogg R, Selch MT, DeSalles AA: Dynamic arc radiosurgery field shaping: a comparison with static field conformal and noncoplanar circular arcs.

    Int J Radiat Oncol Biol Phys 2001, 49:1481-1491. PubMed Abstract | Publisher Full Text OpenURL

  4. Holt A, van Vliet-Vroegindeweij C, Mans A, Belderbos JS, Damen EM: Volumetric-modulated arc therapy for stereotactic body radiotherapy of lung tumors: a comparison with intensity-modulated radiotherapy techniques.

    Int J Radiat Oncol Biol Phys 2011, 81:1560-1567. PubMed Abstract | Publisher Full Text OpenURL

  5. Buyyounouski MK, Balter P, Lewis B, D’Ambrosio DJ, Dilling TJ, Miller RC, Schefter T, Tome W, Harris EE, Price RA Jr, et al.: Stereotactic body radiotherapy for early-stage non-small-cell lung cancer: report of the ASTRO emerging technology committee.

    Int J Radiat Oncol Biol Phys 2010, 78:3-10. PubMed Abstract | Publisher Full Text OpenURL

  6. Benedict SH, Yenice KM, Followill D, Galvin JM, Hinson W, Kavanagh B, Keall P, Lovelock M, Meeks S, Papiez L, et al.: Stereotactic body radiation therapy: the report of AAPM task group 101.

    Med Phys 2010, 37:4078-4101. PubMed Abstract | Publisher Full Text OpenURL

  7. Takeda A, Kunieda E, Sanuki N, Ohashi T, Oku Y, Sudo Y, Iwashita H, Ooka Y, Aoki Y, Shigematsu N, Kubo A: Dose distribution analysis in stereotactic body radiotherapy using dynamic conformal multiple arc therapy.

    Int J Radiat Oncol Biol Phys 2009, 74:363-369. PubMed Abstract | Publisher Full Text OpenURL

  8. Wiggenraad RG, Petoukhova AL, Versluis L, van Santvoort JP: Stereotactic radiotherapy of intracranial tumors: a comparison of intensity-modulated radiotherapy and dynamic conformal arc.

    Int J Radiat Oncol Biol Phys 2009, 74:1018-1026. PubMed Abstract | Publisher Full Text OpenURL

  9. Morales-Paliza MA, Coffey CW, Ding GX: Evaluation of the dynamic conformal arc therapy in comparison to intensity-modulated radiation therapy in prostate, brain, head-and-neck and spine tumors.

    J Appl Clin Med Phys 2011, 12:3197. OpenURL

  10. Ding M, Newman F, Kavanagh BD, Stuhr K, Johnson TK, Gaspar LE: Comparative dosimetric study of three-dimensional conformal, dynamic conformal arc, and intensity-modulated radiotherapy for brain tumor treatment using novalis system.

    Int J Radiat Oncol Biol Phys 2009, 75:S82-S86. OpenURL

  11. Niemierko A, Goitein M: The influence of the size of the grid used for dose calculation on the accuracy of dose estimation.

    Med Phys 1989, 16:239-247. PubMed Abstract | Publisher Full Text OpenURL

  12. Feygelman V, Zhang G, Stevens C: Initial dosimetric evaluation of SmartArc - a novel VMAT treatment planning module implemented in a multi-vendor delivery chain.

    J Appl Clin Med Phys 2010, 11:3169. PubMed Abstract OpenURL

  13. Chung H, Jin H, Palta J, Suh TS, Kim S: Dose variations with varying calculation grid size in head and neck IMRT.

    Phys Med Biol 2006, 51:4841-4856. PubMed Abstract | Publisher Full Text OpenURL

  14. Leavitt DD, Tobler M, Gaffney D, Zhang P, Moeller J: Comparison of interpolated vs. calculated micromultileaf settings in dynamic conformal arc treatment.

    Med Dosim 2000, 25:17-21. PubMed Abstract | Publisher Full Text OpenURL

  15. Grebe G, Pfaender M, Roll M, Luedemann L, Wurm RE: Dynamic arc radiosurgery and radiotherapy: commissioning and verification of dose distributions.

    Int J Radiat Oncol Biol Phys 2001, 49:1451-1460. PubMed Abstract | Publisher Full Text OpenURL

  16. Kim S, Kim T, Ko SJ, Serago C, Smith A, Vallow LA, Peterson JL, Lee R: Negative margin technique - a novel planning strategy to improve dose conformation in SBRT using dynamic conformal arc delivery.

    J Appl Clin Med Phys 2013, 14:4283. OpenURL

  17. Ohtakara K, Hayashi S, Hoshi H: Characterisation of dose distribution in linear accelerator-based intracranial stereotactic radiosurgery with the dynamic conformal arc technique: consideration of the optimal method for dose prescription and evaluation.

    Br J Radiol 2012, 85:69-76. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  18. Papanikolaou N, Battista JJ, Boyer AL, Kappas C, Klein E, Mackie TR, Sharpe M, Van Dyk J: Tissue Inhomogeneity Corrections for Megavoltage Photon Beams. Madison WI: American Association in Physicists in Medicine Report No.85; 2004. OpenURL

  19. Svensson GK, Baily NA, Loevinger R, Morton RJ, Moyer RF, Purdy JA, Shalek RJ, Wootton P, Wright KA: Determination of Absorbed Dose in a Patient Irradiated by Beams of X or Gamma Rays in Radiotherapy Procedures. International Commission on Radiation Units; 1976.21. Physical aspects of quality assurance in radiation therapy. American Association in Physicists in Medicine Report No.13; 1994. OpenURL

  20. Han T, Mikell JK, Salehpour M, Mourtada F: Dosimetric comparison of Acuros XB deterministic radiation transport method with Monte Carlo and model-based convolution methods in heterogeneous media.

    Med Phys 2011, 38:2651-2664. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  21. Gagne IM, Zavgorodni S: Evaluation of the analytical anisotropic algorithm in an extreme water-lung interface phantom using Monte Carlo dose calculations.

    J Appl Clin Med Phys 2007, 8:33-46. OpenURL

  22. Carrasco P, Jornet N, Duch MA, Weber L, Ginjaume M, Eudaldo T, Jurado D, Ruiz A, Ribas M: Comparison of dose calculation algorithms in phantoms with lung equivalent heterogeneities under conditions of lateral electronic disequilibrium.

    Med Phys 2004, 31:2899-2911. PubMed Abstract | Publisher Full Text OpenURL

  23. Dempsey JF, Romeijn HE, Li JG, Low DA, Palta JR: A fourier analysis of the dose grid resolution required for accurate IMRT fluence map optimization.

    Med Phys 2005, 32:380-388. PubMed Abstract | Publisher Full Text OpenURL

  24. Webb S, McQuaid D: Some considerations concerning volume-modulated arc therapy: a stepping stonetowards a general theory.

    Phys Med Biol 2009, 54:4345-4360. PubMed Abstract | Publisher Full Text OpenURL

  25. Otto K: Volumetric modulated arc therapy: IMRT in a single gantry arc.

    Med Phys 2008, 35:310-317. PubMed Abstract | Publisher Full Text OpenURL

  26. Berbeco RI, Pope CJ, Jiang SB: Measurement of the interplay effect in lung IMRT treatment using EDR2 films.

    J Appl Clin Med Phys 2006, 7:33-42. PubMed Abstract OpenURL

  27. Lee CM, Watson GA, Leavitt DD: Dynamic collimator optimization compared with fixed collimator angle in arc-based stereotactic radiotherapy: a dosimetric analysis.

    Neurosurg Focus 2005, 19:E12. OpenURL