Abstract
Purpose
The purpose of this study was to study the influence of the minimum segment width (MSW) on volumetric modulated arc therapy (VMAT) plan quality, delivery accuracy, and efficiency for cervical cancer treatment.
Methods
Nineteen patients with cervical cancer were randomly selected to design VMAT plans. Three VMAT plans were generated for each patient incorporating MSWs of 0.5, 1.0, and 1.5 cm while other planning parameters remained constant using the Monaco treatment planning system (TPS) with 6 MV X rays delivered from an Elekta Synergy linear accelerator. Plan quality and delivery efficiency were evaluated based on dose‐volume histograms (DVHs), control points, monitor units (MUs), dosimetric measurement verification results, and plan delivery time.
Results
Except for the small difference in target dose coverage and maximum dose, there were no statistically significant differences between the other dosimetric parameters in the planning target volumes. The 1.0 and 1.5 cm MSW plans showed lower maximum doses to the spinal cord than the 0.5 cm plan; doses to other organs at risks were similar regardless of MSWs. The mean reductions of total MUs when compared with the 0.5 cm plan were 14.5 ± 6.1% and 20.9 ± 7.9% for MSWs of 1.0 and 1.5 cm, respectively. The calculated gamma indices using the 3% and 3 mm criteria were 96.2 ± 0.6%, 97.0 ± 0.6%, and 97.6 ± 0.6% for the 0.5, 1.0 and 1.5 cm MSW plans, respectively. The plan delivery times decreased with increasing MSWs (p < 0.05).
Conclusion
Increasing the MSW allows for improved plan delivery accuracy and efficiency without significantly affecting the VMAT plan quality. MSWs of 1.0 and 1.5 cm improved the plan quality, delivery accuracy, and efficiency for cervical VMAT radiation therapy.
Keywords: cervical cancer, delivery time, Minimum segment width, plan quality, VMAT
1. INTRODUCTION
Over the last decade, volumetric modulated arc therapy (VMAT) has been explored and implemented to treat a variety of cancers including in the prostate, head and neck, lung, and spine.1, 2, 3, 4 VMAT is a dynamic treatment technique in which the radiation dose rates, gantry speeds, and movements of the multi‐leaf collimator and jaws are simultaneously varied while the beam is on.5 VMAT enables greater dose conformity to target tissues, and spares more of the normal tissue than traditional three‐dimensional conformal radiation therapy (3D‐CRT) and intensity‐modulated radiation therapy (IMRT).6, 7, 8 Generally, VMAT planning involves a two‐step optimization procedure: First, ideal fluence maps are optimized and calculated according to an optimization algorithm; next, the arc sequencer algorithm converts these fluence maps to arc delivery maps while optimizing the multi‐leaf collimator shape sequence to serial segments (control points). The minimum segment width (MSW) parameter takes an important role in the creation of the shapes and sizes of these segments. When designing VMAT plans to treat cervical cancer, optimization often results in some long and narrow segments that may have a notable impact on plan delivery, and can sometimes lead to a low verification passing rate and even an interruption. The impact of VMAT planning parameters, such as small monitor unit (MU) per segment, dose rate, and control point spacing, on plan quality have been evaluated for a Pinnacle3 treatment planning system (TPS) using the Elekta Synergy/Varian Trilogy linear accelerator.9, 10 However, there have been no reports regarding MSW optimization in terms of VMAT plan quality, delivery, accuracy, and efficiency. The purpose of this study was to explore the influence of the MSW parameter on the quality and delivery accuracy of VMAT plans for cervical cancer to provide a useful reference for clinical treatment planning.
2. MATERIALS AND METHODS
2.A. Patient selection
Nineteen patients with cervical cancer aged between 38 and 78 yr (average 52.6 yr) who underwent VMAT at our hospital between June 2017 and October 2017 were enrolled in this study. This study was approved by the Ethical Commission of our cancer center. Because this was not a treatment‐based study, our institutional review board waived the need for written informed consent from the participants. The patient information was anonymized and de‐identified to protect patient confidentiality.
2.B. Simulation and contouring
All patients were immobilized with a vacuum bag system with a supine position, and were then scanned using a Philips computed tomography (CT) simulator with a slice thickness of 3 mm. The reconstructed CT images were transmitted to Monaco 5.11 TPS. Gross tumor volume (GTV) and clinical tumor volume (CTV) were delineated on CT images by an experienced radiation oncologist according to the institutional protocol. A contour expansion was applied to the GTV and CTV to delineate a planning target volume (PTV) that would receive 60 Gy (PTV60) and 45 Gy (PTV45). PTV60 was derived from the GTV with involved lymph nodes plus a uniform 5 mm margin, while the PTV45 was generated from the CTV plus a uniform 6–8 mm margin (Fig. 1). The bladder, rectum, spinal cord, kidneys, and femoral heads were delineated as organs at risk (OARs).
2.C. Treatment planning
For all patients, VMAT plans were designed using the Monaco TPS via the Monte Carlo (MC) algorithm, and plans were delivered using the Elekta Synergy linear accelerator with X ray beam energy (6 MV). Each case was planned with a single arc of 360° rotating clockwise from 181° to 179°. The collimator angle for each patient was fixed to 0° during gantry rotation, based on the patient's anatomy. The statistical uncertainty of the MC algorithm was 3% per control point, and the final dose was calculated with a calculation grid resolution of 3 mm. The maximum number of control points was 150 for each plan. Three VMAT plans, 0.5 cm MSW, 1.0 cm MSW, and 1.5 cm MSW, were generated with MSWs of 0.5, 1.0, and 1.5 cm, respectively, while other parameters and cost functions remained unchanged. The prescription dose was the dose to 98% of the PTV60 (D98%) that received at least 60 Gy in 23 fractions. The cost functions are displayed in Table 1.
Table 1.
ROIs | Cost function | Parameter | Iso constraint |
---|---|---|---|
PTV60 | Target penalty | 95% | 60 Gy |
Underdose DVH | 60 Gy | 98% | |
Quadratic overdose | 63 Gy | 20 | |
PTV45 | Target penalty | 95% | 45 Gy |
Underdose DVH | 45 Gy | 96% | |
Quadratic Overdose | 48 Gy | 50 | |
Spinal cord | Maximum dose | NA | 40 Gy |
Rectum | Quadratic overdose | 45 Gy | 40 |
Bladder | Quadratic overdose | 45 Gy | 60 |
Kidney‐L | Serial | k = 12 | 18 Gy |
Kidney‐R | Serial | k = 12 | 18 Gy |
Femoral head‐L | Maximum dose | NA | 48 Gy |
Femoral head‐R | Maximum dose | NA | 48 Gy |
Body | Quadratic overdose | 45 Gy | 20 |
Quadratic overdose | 30 Gy | 120 | |
Maximum dose | Shrink 0.9 cm | 45 Gy |
ROI, region of interest; PTV, planning target volume; DVH, dose‐volume histogram.
2.D. Plan evaluation
The different MSW cervical plans were compared in terms of dosimetric indices such as the homogeneity index (HI), conformity index (CI), maximum dose of target volume, target coverage (TC), MUs, control points, and the DVH parameters concerning OARs. The TC and HI were determined as follows:
(1) |
(2) |
where TVPI represents the target volume receiving the prescription dose, TV represents the total target volume. D5% is the minimum dose received by 5% of the PTV according to the DVH (indicating the maximum dose), and D95% is the minimum dose received by 95% of the PTV (indicating the minimum dose). A lower HI represents better homogeneity.
The CI was calculated as below:
(3) |
where VPI represents the total volume receiving the prescription dose (60 Gy or 45 Gy); the closer the CI is to 1, the more conformal is the target dose distribution.
Absolute dose distributions were measured using an Elekta iViewGT aSi electronic portal imaging device (EPID) detector. The EPID has a sensitive area that is 41 cm × 41 cm in size with an effective pixel size of 0.04 cm × 0.04 cm. Offset, gain, and pixel corrections were performed for each image, and a time‐integrated signal was obtained for every plan. The pixel values in the EPID images were reconstructed to dose values at a source to axis distance of 100 cm in the phantom.11 The measured and computed doses were analyzed using RapiDose (Version 2.1, RayDose Inc., China) commercial software to analyze and calculate the gamma passing rate (GPR).12 The plan delivery time (PDT; ie, the interval between beam activation and deactivation) was measured simultaneously for each plan.
2.E. Statistical analysis
The paired t‐test followed by Bonferroni's correction was applied in the intergroup comparison for dosimetric parameters and measurement results using the SPSS 19.0 software. A p‐value <0.05 indicated a statistically significant difference.
3. RESULTS
3.A. Target doses
The target doses of the three VMAT plan groups are shown in Table 2. The mean and maximum PTV60 and PTV45 doses were not markedly different among the three plans. The target dose coverage of the plan using an MSW of 0.5 cm was higher than that of the plan using an MSW of 1.0 cm, which in turn was better than that of the plan using an MSW of 1.5 cm. The DVH results using these three plans in a typical patient with cervical cancer are shown in Fig. 2. The maximum PTV60 and PTV45 doses of the plan using an MSW of 1.5 cm were higher than those of the plans with MSWs of 0.5 and 1.0 cm.
Table 2.
PTV | Parameter | 0.5 cm MSW | 1.0 cm MSW | 1.5 cm MSW | p 1 | p 2 | p 3 |
---|---|---|---|---|---|---|---|
PTV60 | TC (%) | 99.5 ± 0.13 | 99.4 ± 0.16 | 99.18 ± 0.22 | 0.02 | 0.01a | 0.04 |
Dmean (Gy) | 62.7 ± 0.06 | 62.6 ± 0.05 | 62.73 ± 0.05 | 0.07 | 0.38 | 0.08 | |
Dmax (Gy) | 65.4 ± 0.23 | 65.2 ± 0.19 | 65.52 ± 0.26 | 0.01a | 0.68 | 0.07 | |
CI | 0.44 ± 0.02 | 0.51 ± 0.06 | 0.47 ± 0.02 | 0.27 | 0.98 | 0.27 | |
HI | 1.04 ± 0.00 | 1.04 ± 0.00 | 1.04 ± 0.00 | 0.33 | 0.86 | 0.87 | |
PTV45 | TC (%) | 99.45 ± 0.12 | 99.28 ± 0.13 | 98.88 ± 0.16 | 0.02 | 0.01a | 0.01a |
Dmean (Gy) | 49.76 ± 0.39 | 49.72 ± 0.39 | 49.82 ± 0.41 | 0.26 | 0.16 | 0.02 | |
Dmax (Gy) | 65.66 ± 0.28 | 65.37 ± 0.23 | 65.51 ± 0.22 | 0.01a | 0.782 | 0.11 | |
CI | 0.75 ± 0.01 | 0.75 ± 0.01 | 0.75 ± 0.01 | 0.37 | 0.54 | 0.92 | |
HI | 1.27 ± 0.02 | 1.26 ± 0.02 | 1.28 ± 0.02 | 0.02 | 0.01a | 0.00a |
p 1, p‐value comparing 0.5 cm and 1.0 cm MSW plans; p 2, p‐value comparing 0.5 and 1.5 cm MSW plans; p 3, p‐value comparing 1.0 and 1.5 cm MSW plans. PTV, planning target volume; VMAT, volumetric modulated arc therapy; MSW, minimum segment width; TC, target coverage; Dmean, mean dose; Dmax, maximum dose; CI, conformity index; HI, heterogeneity index.
statistically significant according to Bonferroni correction.
The CI and HI values for all treatment plans are shown in Fig. 3. The CI and HI for the PTV60 are similar among all three group plans (p > 0.05). As for the PTV45, the 1.0 cm MSW plan had a lower HI than the 0.5 and 1.5 cm MSW plans.
3.B. OAR dose
OAR dose results are shown in Table 3. Except for the lower maximum dose to the spinal cord when using the plan with the highest MSW, there were no significant differences between the three types of VMAT plans in terms of doses to the remaining OARs.
Table 3.
OAR | Parameter | 0.5 cm MSW | 1.0 cm MSW | 1.5 cm MSW | p 1 | p 2 | p 3 |
---|---|---|---|---|---|---|---|
Spinal cord | Dmax (Gy) | 25.18 ± 3.89 | 24.28 ± 3.79 | 23.13 ± 3.59 | 0.08 | 0.01a | 0.02 |
Rectum | V30 Gy (%) | 8.96 ± 2.25 | 8.43 ± 2.19 | 9.01 ± 2.20 | 0.15 | 0.55 | 0.06 |
Bladder | V30 Gy (%) | 12.49 ± 3.16 | 11.73 ± 2.79 | 12.21 ± 2.97 | 0.12 | 0.83 | 0.15 |
Kidney‐L | V45 Gy (%) | 62.10 ± 5.40 | 63.53 ± 5.44 | 61.51 ± 5.58 | 0.28 | 0.92 | 0.16 |
Kidney‐R | V45 Gy (%) | 48.38 ± 4.10 | 47.62 ± 4.04 | 48.52 ± 4.24 | 0.42 | 0.74 | 0.66 |
Femoral head‐L | V30 Gy (%) | 38.91 ± 2.63 | 39.32 ± 2.75 | 41.68 ± 3.56 | 0.75 | 0.14 | 0.07 |
Femoral head‐R | V30 Gy (%) | 37.56 ± 3.73 | 40.77 ± 3.91 | 39.87 ± 3.98 | 0.06 | 0.36 | 0.67 |
p 1, p‐value comparing 0.5 and 1.0 cm MSW plans; p 2, p‐value comparing 0.5 and 1.5 cm MSW plans; p 3, p‐value comparing 1.0 and 1.5 cm MSW plans. VMAT, volumetric modulated arc therapy; OAR, organ‐at‐risk; MSW, minimum segment width; Dmax, maximum dose; Vx, percentage volume of region of interest receiving at least X Gy.
statistically significant according to Bonferroni correction.
3.C. Control points and MUs
As the MSW value increased, the control points of the cervical cancer VMAT plan decreased; the mean number of control points for the plans with MSWs of 0.5, 1.0 and 1.5 cm were 137, 133, and 125, respectively (Fig. 4). Moreover, the MUs of the VMAT plan decreased as the MSW increased (Fig. 5); the mean MUs for the plans with MSWs of 0.5, 1.0, and 1.5 cm were 889.1 ± 164.5, 754.3 ± 113.4, and 694.1 ± 88.8, respectively.
3.D. Dosimetric verification and plan delivery time
Comparison between the measured planar dose and TPS‐calculated dose was analyzed using the gamma passing criteria of a 2% dose difference (DD) and a 2 mm distance to agreement (DTA), as well as with passing criteria of a 3% DD and 3 mm DTA. Table 4 shows the GPRs for the 0.5, 1.0, and 1.5 cm MSW plans. The GPR was highest with the plan using a MSW of 1.5 cm and lowest in the plan using a MSW of 0.5 cm. Table 4 also shows the plan delivery time from beam turn‐on to turn‐off for all 19 patients. As the MSW increased, the control points and MUs of the VMAT plan decreased, as did the plan delivery time.
Table 4.
Parameter | 0.5 cm MSW | 1.0 cm MSW | 1.5 cm MSW | p 1 | p 2 | p 3 |
---|---|---|---|---|---|---|
3% and 3 mm GPR | 96.23 ± 0.59 | 97.00 ± 0.56 | 97.59 ± 0.59 | <0.01a | <0.01a | <0.01a |
2% and 2 mm GPR | 85.35 ± 1.38 | 87.58 ± 1.27 | 89.28 ± 1.44 | <0.01a | <0.01a | 0.01a |
PDT (min) | 4.39 ± 0.12 | 4.23 ± 0.10 | 4.07 ± 0.11 | 0.01a | <0.01a | 0.01a |
p 1, p‐value comparing 0.5 cm and 1.0 cm MSW plans; p 2, p‐value comparing 0.5 cm and 1.5 cm MSW plans; p 3: p‐value comparing 1.0 cm and 1.5 cm MSW plans. MSW, minimum segment width; GPR, gamma passing rate; PDT, plan delivery time.
statistically significant according to Bonferroni correction.
4. DISCUSSION
Designing VMAT plans for treating cervical cancer produces a large number of long, small, and irregular segments. MSW takes an important role in the forming of optimized apertures. These segments sometimes lead to low verification rate and even interruption during delivery of VMAT plan in clinical works. As plan complexity can be reduced by increasing the MSW, we compared the qualities of three different cervical cancer VMAT plan optimization schemes that were based on three different MSW values. Quality comparisons included evaluating the HI, CI, TC, maximum doses, and mean doses to the PTV, as well as the dose‐volume index of the OARs, MUs, and control points. VMAT plans generated with a MSW of 1.0 cm were found to have similar dose distributions as plans with MSWs of 0.5 cm. However, plans with MSWs of 1.5 cm were of slightly worse quality, although they still satisfied clinical requirements (Fig. 2).
The measured and computed doses were analyzed using an EPID detector. All treatment plans showed good GPRs; the mean GPR was >94% when using the 3% DD and 3 mm DTA criteria, and >85% when using the 2% DD and 2 mm DTA criteria.13 This showed that the measured dose was consistent with the calculated dose. The dose measured when using a higher MSW showed better agreement with the calculated dose from the TPS; this was expected given that the number of small fields decrease as the MSW increased, and dosimetric verification would therefore be relatively easier.
In addition, the number of control points and MUs decreased as the MSWs increased. When compared to the plan using a MSW of 0.5 cm, the mean MU reductions in the plans using MSWs of 1.0 and 1.5 cm were 15.2% and 21.9%, respectively, while the total control points were decreased by 2.9% and 8.8%, respectively. Previous studies showed that decreasing the MUs for treatment delivery reduces the constraint factor of the leaves’ trajectories, complexity of intensity‐modulated radiation therapy plans, and treatment time.14, 15, 16, 17 Hence, as the MSW increases and VMAT plan complexity decreases, the therapeutic efficiency may improve as well. The average delivery times of the plans using MSWs of 1.0 and 1.5 cm were decreased by 9.6 and 19.2 s, respectively (a drop of approximately 3.6% and 7.3%, respectively), compared to the plan with a MSW of 0.5 cm.
5. CONCLUSION
Generally, VMAT plans of cervical cancer that are generated with smaller MSWs have not only increased target coverage and conformal index, but also lead to more control points and MUs that would produce lower GPRs and greater treatment delivery times. Our data indicated that VMAT plans with MSWs of 1.0 cm show a clear advantage in terms of a trade‐off between plan quality and delivery efficiency for cervical cancer, and can optimally meet the clinical requirements.
CONFLICTS OF INTEREST
The authors declare no conflicts of interest.
REFERENCES
- 1. Pyshniak V, Fotina I, Zverava A, et al. Efficiency of biological versus physical optimization for single arc VMAT for prostate and head and neck cases. J Appl Clin Med Phys. 2014;15:4514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Chan M, Wong M, Leung R, et al. Optimizing the prescription isodose level in stereotactic volumetric‐modulated arc radiotherapy of lung lesions as a potential for dose de‐escalation. Radiat Oncol. 2018;13:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Middlebrook ND, Sutherland B, Kairn T. Optimization of the dosimetric leaf gap for use in planning VMAT treatments of spine SABR cases. J Appl Clin Med Phys. 2017;18:133–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Zach L, Tsvang L, Alezra D, et al. Volumetric modulated arc therapy for spine radiosurgery: superior treatment planning and delivery compared to static beam intensity modulated radiotherapy. Biomed Res Int. 2016;2016:6805979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Yu CX, Tang G. Intensity‐modulated arc therapy: principles, technologies and clinical implementation. Phys Med Biol. 2011;56:R31–R54. [DOI] [PubMed] [Google Scholar]
- 6. Matuszak MM, Yan D, Grills I, Martinez A. Clinical applications of volumetric modulated arc therapy. Int J Radiat Oncol Biol Phys. 2010;77:608–616. [DOI] [PubMed] [Google Scholar]
- 7. McGrath SD, Matuszak MM, Yan D, et al. Volumetric modulated arc therapy for delivery of hypofractionated stereotactic lung radiotherapy: a dosimetric and treatment efficiency analysis. Radiother Oncol. 2010;95:153–157. [DOI] [PubMed] [Google Scholar]
- 8. Diot Q, Kavanagh B, Timmerman R, Miften M. Biological‐based optimization and volumetric modulated arc therapy delivery for stereotactic body radiation therapy. Med Phys. 2012;39:237–245. [DOI] [PubMed] [Google Scholar]
- 9. Huang L, Zhuang T, Mastroianni A, et al. Impact of small MU/segment and dose rate on delivery accuracy of volumetric‐modulated arc therapy (VMAT). J Appl Clin Med Phys. 2016;17:203–210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Yang K, Yan D, Tyagi N. Sensitivity analysis of physics and planning SmartArc parameters for single and partial arc VMAT planning. J Appl Clin Med Phys. 2012;13:3760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Zhu JH, Chen LX, Jin GH, et al. The study of two‐dimensional dosimetric verifications of volumetric intensity‐modulated arc therapy based on electronic portal imaging devices. Chin J Radiat Oncol. 2012;21:550–553. [Google Scholar]
- 12. Huang M, Huang D, Zhang J, et al. Preliminary study of clinical application on IMRT three‐dimensional dose verification‐based EPID system. J Appl Clin Med Phys. 2017;18:97–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Ezzell GA, Burmeister JW, Dogan N, et al. IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. Med Phys. 2009;36:5359–5373. [DOI] [PubMed] [Google Scholar]
- 14. Coselmon MM, Moran JM, Radawski J, Fraass BA. Improving IMRT delivery efficiency using intensity limits during inverse planning. Med Phys. 2005;32:1234–1245. [DOI] [PubMed] [Google Scholar]
- 15. Sun X, Xia P, Yu N. Effects of the intensity levels and beam map resolutions on static IMRT plans. Med Phys. 2004;31:2402–2411. [DOI] [PubMed] [Google Scholar]
- 16. Young KC, Matuszak MM, Moran JM, et al. Penalization of aperture complexity in inversely planned volumetric modulated arc therapy. Med Phys. 2012;39:7160–7170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Sun X, Xia P. A new smoothing procedure to reduce delivery segments for static MLC‐based IMRT planning. Med Phys. 2004;31:1158–1165. [DOI] [PubMed] [Google Scholar]