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ORIGINAL ARTICLE |
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| Year : 2017 | Volume
: 42
| Issue : 4 | Page : 206-212 |
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The impact of dose rate on the accuracy of step-and-shoot intensity-modulated radiation therapy quality assurance using varian 2300CD
Christopher F Njeh1, Howard W Salmon2, Claire Schiller3
1 Diagnostic and Treatment Center, Marshfield Clinic, Weston, WI; Department of Radiation Oncology, Franciscan St. Francis Health, Indianapolis, IN 46237, USA
2 Department of Radiation Oncology, Franciscan St. Francis Health, Indianapolis, IN 46237, USA
3 Diagnostic and Treatment Center, Marshfield Clinic, Weston, WI, USA
| Date of Submission | 03-Feb-2017 |
| Date of Decision | 23-Oct-2017 |
| Date of Acceptance | 24-Oct-2017 |
| Date of Web Publication | 5-Dec-2017 |
Correspondence Address:
Christopher F Njeh
Department of Radiation Oncology, Franciscan Health, 8111 South Emerson are, Suite 103, Indianapolis, IN 46237
USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jmp.JMP_18_17
 Abstract | | |
Introduction: Intensity-modulated radiation therapy (IMRT) delivery using “step-and-shoot” technique on Varian C-Series linear accelerator (linac) is influenced by the communication frequency between the multileaf collimator and linac controllers. Hence, the dose delivery accuracy is affected by the dose rate. Aim: Our aim was to quantify the impact of using two dose rates on plan quality assurance (QA). Materials and Methods: Twenty IMRT patients were selected for this study. The plan QA was measured at two different dose rates. A gamma analysis was performed, and the degree of plan modulation on the QA pass rate was also evaluated in terms of average monitor unit per segment (MU/segment) and the total number of segments. Results: The mean percentage gamma pass rate of 94.9% and 93.5% for 300 MU/min and 600 MU/min dose rate, respectively, was observed. There was a significant (P = 0.001) decrease in percentage gamma pass rate when the dose rate was increased from 300 MU/min to 600 MU/min. There was a weak, but significant association between the percentage pass rate at both dose rate and total number of segments. The total number of MU was significantly correlated to the total number of segments (r = 0.59). We found a positive correlation between the percentage pass rate and mean MU/segment, r = 0.52 and r = 0.57 for 300 MU/min and 600 MU/min, respectively. Conclusion: IMRT delivery using step-and-shoot technique on Varian 2300CD is impacted by the dose rate and the total amount of segments.
Keywords: Dose rate, intensity-modulated radiation therapy, quality assurance, radiation therapy
How to cite this article:
Njeh CF, Salmon HW, Schiller C. The impact of dose rate on the accuracy of step-and-shoot intensity-modulated radiation therapy quality assurance using varian 2300CD. J Med Phys 2017;42:206-12 |
How to cite this URL:
Njeh CF, Salmon HW, Schiller C. The impact of dose rate on the accuracy of step-and-shoot intensity-modulated radiation therapy quality assurance using varian 2300CD. J Med Phys [serial online] 2017 [cited 2023 Mar 24];42:206-12. Available from: https://www.jmp.org.in/text.asp?2017/42/4/206/219928 |
| Introduction | |  |
Intensity-modulated radiation therapy (IMRT) has become the standard of care for the management of most cancers.[1],[2],[3] The success of IMRT has been due partly to the introduction of multileaf collimators (MLCs) that are used to modulate the intensity of the radiation beam to achieve a nonuniform dose distribution that is conformal to the target.[4],[5] This modulation using MLC can be achieved using two techniques, namely, the sliding window (dynamic MLC [DMLC]) and the segmented (or step and shoot) (segmental MLC [SMLC]). For DMLC, the radiation is delivered by varying the velocity of the individual MLC leaves while the treatment beam is on.[6] The SMLC technique consists of a number of static subfields shaped by the MLC called segments.[4],[5] In this approach, the radiation beam is interrupted while the MLC moves (step) to a predetermined location (segment) at a particular gantry angle and radiation is delivered (shoot) while the MLCs are stationary. After a segment is delivered, the beam is turned off and the MLCs move into place for the next segment.[7] Beam intensity modulation increases with the total number of beam segments, resulting in a smaller number of monitor units per se gment (MU/segment).[8] It is evident that a highly precise mechanical synchronization of the MLC with the linear accelerator (linac) beam delivery system is paramount for the accurate and safe delivery of IMRT.
SMLC implementation on Varian linac C-series models (Varian Medical Systems Inc., Palo Alto, CA, USA) is affected by the design of the MLC controller and its communication with the linac controller.[7],[9] This is because there are two types of beam dose control: total beam and segmented beam. The total beam is monitored and controlled by ionization chambers within the head of the accelerator. The segment doses and leaf coordinates are only controlled by the MLC-controller timing pulses. Hence, in SMLC, after the MLC leaves reach their predetermined positions for a particular segment, radiation is initiated by the “total beam control.” During this “beam on” period, the MLC controller receives information about delivered MUs approximately every 50 ms (this implies the sampling frequency is fixed at 20 Hz)[9],[10] and uses this information to control the radiation beam on/off status for each segment. This communication delay results in the beam being turned off approximately 50–80 ms too late for all the segments when controlled by the MLC controller.[11] Especially impacted are the first and last segments that tend to have higher and lower MU than planned. This phenomenon is commonly referred to as the “overshoot/undershoot” for the first and last segments, respectively.[11] The last segment receives a smaller dose because the total beam control system turns the beam off when the total planned dose is reached.
The impact of the overshoot/undershoot phenomenon has been studied in the literature and has been found to be directly linearly proportional to the dose rate.[7],[10],[11],[12] The lower the dose rate, the lower the impact of the phenomenon. It is desirable to use a higher dose rate, for reasons including: increased patient throughput and the less time the patient is on the table, the smaller the potential for intrafraction motion.[13] Furthermore, less time on the table is convenient for the patient (patient comfort). There is also the argument, albeit debatable, that prolonged dose delivery may result in reduction in tumor cell killing.[14],[15],[16]
Researchers have also reported that the magnitude of the errors due to the overshoot and undershoot phenomenon may be small and the clinical implication has been reported to be negligible.[10],[11] However, these studies were carried out with ionization chamber at a single isocenter point and did not provide a fluence analysis of dose distribution on the whole target. The objective of the current study was to evaluate the impact of the over/undershoot on SMLC IMRT plan quality assurance (QA) using two-dimensional (2D) diode array at two different dose rates and analyze the impact of plan modulation complexion score on the IMRT QA.
The main objective of this study was to evaluate the impact of radiation dose rate on the accuracy of step-and-shoot IMRT dose delivery, as measured using ArcCHECK ™ using two dose rates: 300 MU/min and 600 MU/min. The secondary objective was to see the impact of plan complexity as defined by the number of segments on IMRT QA.
| Material and Methods | | |
Patients
Twenty cancer patients who were treated at our center using IMRT were randomly selected for this study. This study population included prostate (n = 8), brain (n = 1), head and neck (n = 7), vulvar (n = 2), rectum (n = 1), and lung (n = 1) cancer patients. This study was reviewed by the Marshfield Clinic Institution Research Board and received a consent waiver.
Linac: Varian 2300CD
The linac used in this study was the Varian 2300CD equipped with Varian Millennium 120-leaf MLC capable of IMRT delivery. Radiation can be delivered using different dose rates. Our departmental practice standard uses the dose rate of 300 MU/min for IMRT radiation delivery. However, the 2300CD has the capability to deliver the radiation at a dose rate of up to 600 MU/min.
Treatment planning
Our institution's standard patient simulation protocol was used for each patient. For example, head and neck patients were immobilized using the head frame and scanned supine. Computed tomography images were obtained using 3-mm slide thickness. The images were then transferred to the treatment planning system (TPS) where the gross tumor volume, as well as the appropriate organs at risk (OAR) were contoured.
The step-and-shoot IMRT treatment plans were generated with a commercial TPS, Pinnacle [3] version 9.4 (Philips Medical Systems, Madison, WI) with direct machine parameter optimization (DMPO) option that directly optimizes the shape and weight of each MLC segment. Minimum segment area and minimum segment MU were set to 4 cm 2 and 3 MU, respectively. The adaptive convolution dose calculation algorithm with inhomogeneity correction was used for all the plans. The planning grid was set at 0.2 cm × 0.2 cm × 0.2 cm and threshold was set at 0.6 g/cm 2. The number of treatment fields used was the same as suggested by the Radiation Therapy Oncology Group (RTOG) protocols. For example, prostate cancer patients were planned with typical seven fields and head and neck with nine fields. The planning objectives were following recommendations from RTOGs. Patients were prescribed a typical dose of between 180 cGy and 200 cGy per fraction.
Plan evaluation
ArcCHECK™ device
The ArcCHECK™ device (Sun Nuclear Corporation, Melbourne, Florida) has been previously described in the literature.[17],[18] It is a doughnut-shaped cylindrical acrylic phantom containing a 2D array of 1386 diodes arranged in a helical configuration with 1 cm interdiode spacing and 1 cm pitch (ArcCHECK ™ User's Guide, Sun Nuclear Corporation, Melbourne, Florida). The active detector size of each diode is 0.8 mm × 0.8 mm. The phantom has an outer diameter of 26.6 cm and inner hole diameter of 15.1 cm, with the curved plane of the diodes at a distance of 10.4 cm from the center. The overall device length is 44.3 cm inclusive of 11.9 cm of electronics section and 32.4 cm is the length of the PMMA phantom. The active area detector array length is 21 cm. The PMMA buildup and backscatter is approximately 2.9 cm each which translates to water equivalent depth of 3.3 g/cm 2. The ArcCHECK™ was used with the cavity plug-in and the cradle supports the device during calibration and measurements. Marks on the outer surface of the cylinder were used to position the device in the isocenter. In this study, the axis of the cylindrical phantom was aligned with the gantry rotation axis.
After each measurement, the individual frames were corrected for diode leakage current and angular dependence. The processed frames were then summed and saved to disk. DICOM RT planned Dose file was then imported for comparison to an ArcCHECK™-measured file. The import filter extracted a cylindrical dose plane from the imported 3D volume for 2D dose comparison with the ArcCHECK™ diodes. The device was calibrated for absolute dose measurement.
Gamma plan evaluation
To compare dose distributions between calculated and measured doses, a gamma analysis [19] was performed with 3% dose difference (of the maximum dose) and 3 mm distance-to-agreement (DTA) criteria as recommended by the American Association of Physicist in Medicine (AAPM) task group 119.[20] The gamma analysis was evaluated in terms of the number of diodes which satisfied specified tolerances of dose difference between calculations and measurements relative to the maximum value on the calculated dose map (normalization point) and DTA criterion. Only the diodes with the dose values larger than 10% of the maximum value on the dose map were included in the analysis. This threshold of 10% was proposed by the AAPM Task Group 119[20] for the gamma evaluation with 3%/ 3 mm criteria.
Data analysis
The measured variables, namely, gamma analysis percentage pass rate, MUs, and number of segments were expressed as mean values. A linear regression analysis was conducted to determine if any of these variables: MUs, total number of segments, and mean MU/segments was a predictor of gamma analysis percentage pass rate. Multiple regression analysis was used to determine whether the different variables were combined predictor of gamma analysis percentage pass rate. Pearson's correlation coefficient was computed and the correlation coefficient of >0.5 was considered significant and correlated. Student's t-test was used to determine if the gamma analysis percentage pass rate was different between the two groups of patient treatment planning QA. P value was calculated and statistical significance was set at P= 0.05. Microsoft Excel (Microsoft Corporation, Redmond, WA) was used to compile data and perform basic statistical tests for analyzing the data.
| Results | | |
In our institution, we set the minimum number of MU/segment in the TPS to 3. Reviewing all the plans in the study, more than 70% of the fields had at least one segment with 3 MU/segment. The mean total MU was 666.3/patient and mean segments was 86.9 segments/patient, with mean of 8.03 MU/segments.
Using the gamma index criteria of 3 mm DTA and 3% dose difference resulted in a mean percentage gamma pass rate of 94.9% (range: 89.8%–99.1%) and 93.5% (range: 85.7%–99.1%) for 300 MU/min and 600 MU/min dose rate, respectively. In 80% of the cases, there was a decrease in percentage gamma pass rate when the dose rate was increased from 300 MU/min to 600 MU/min. Using a less stringent constraint of 4 mm DTA and 4% resulted in a mean percentage gamma pass rate of 98.6% (range: 95.8%–100%) and 98.1% (range: 95.0%–100%) for 300 MU/min and 600 MU/min, respectively. Evidently there is a decrease in gamma index percentage agreement with increase in dose rate for both 3 mm/3% and 4 mm/4% gamma index criteria. Using paired two-tailed Student's t-test analysis, the difference in gamma index pass rate with increase in dose rate was found to be statistically significant. The statistical result were as follows: t (19) =3.84, P= 0.001 for 3 mm/3% and t (19) =2.58, P= 0.018 for 4 mm/4%.
The results in the preceding paragraph show that the dose rate has an influence on the gamma index percentage pass rate comparing planned patient dose to measured patient dose using the ArcCHECK™ device. We were interested in identifying other factors that could impact the percentage pass rate. Therefore, the association between the various parameters was computed using simple linear regression analysis, and the Pearson's correlation coefficients (r) are presented in [Table 1] and [Table 2], with the significant correlations represented by asterisk. There was a weak, but significant association between the percentage pass rate at both dose rate and total number of segments [Figure 1] and [Figure 2]. As one would expect the total number of MU was significantly correlated with the total number of segments (r = 0.59). | Table 1: Linear correlation coefficients: The gamma analysis percentage pass was computed using gamma criteria of 3 mm DTA and 3% dose difference
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 | Table 2: Linear correlation coefficients: The gamma analysis percentage pass was computed using gamma criteria of 4 mm DTA and 4% dose difference
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 | Figure 1: Gamma analysis percentage pass rate for 300 MU/min dose rate versus the total number of segments per treatment plan
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 | Figure 2: Gamma analysis percentage pass rate for 600 MU/min dose rate versus the total number of segments per treatment plan
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The percentage pass rate for patient IMRT QA has been linked to the level of plan complexity. Therefore, attempts have been made in the literature to compute a modulation complexity score (MCS). The MCS proposed by McNiven et al.[21] incorporates information from the treatment planning such as variability in leaf position, degree of irregularity in field shape, segment weight, and area into a single score ranging from 0 to 1. We attempted to find a simple planning complexity score without access to segment descriptors like area and its association with percentage pass rate. Multiple regression analysis was computed with the percentage gamma pass rate as the dependent variable and the independent variables were: total number of MU, total segments, prescription dose per fraction, and the number of treatment fields. For 3 mm/3% at 300 MU/min dose rate, the total regression analysis coefficient was r = 0.63 and the only significant predictor was the total number of segment (P = 0.039). Similarly, at 600 MU/min dose rate, the total regression coefficient was r = 0.60 and the only significant predictor was the total number of segments (P = 0.049).
It has been documented that the magnitude of the overshoot is dependent on the number of MU/segment.[10],[11] We normalized the total MU by the number of segments. We found a positive correlation between the percentage pass rate and mean MU/segment, r = 0.52 and r = 0.57 for 300 MU/min and 600 MU/min, respectively. There was a negative, but not significant correlation between the difference between the percentage pass rate at 300 MU/min and 600MU/min and the mean MU/segments.
| Discussions | | |
Effect of dose rate
The validation of patient dose as compared to the planned dose is an IMRT QA recommendation of many international bodies including AAPM [1] and ASTRO.[22] Various ways of measuring this patient QA have been studied since the introduction of IMRT and the current techniques include point dose measurement using ionization chamber, radiographic film, radio-chromic film, computed radiography, diode arrays, ionization chamber arrays, and portal dosimetry.[23],[24] These techniques have been reviewed by the AAPM task group report number 120.[24] The ArcCHECK™ with its diode detector arrays is now an established and validated tool for patient IMRT QA.[17],[18],[25] Our mean gamma pass rate of 94.9% using 3 mm/3% gamma criteria measured with the ArcCHECK™ is similar to those reported by Petoukhova et al.[17] The accepted standard for conventional radiation therapy is that the dose delivered to the patient should be within 5% of the planned dose.[26] However, IMRT is more complex than traditional 3D conformal radiation therapy (3DCRT), and high delivery accuracy is still expected all the same.
The factors affecting the accuracy of dose delivery in IMRT are multifactorial and include both TPS and machine errors. The machine errors have been identified by AAPM task group report [1] to include: MLC leaf positional accuracy, MLC control issues, MLC characteristics and transmission issues, and machine performance for small MU delivery. Researchers have tried to address some of these sources of inaccuracy in IMRT delivery. For example, Li et al.[27] studied the beam delivery system and found that the extra-focal source, MLC leaf thickness, leakage, tongue-and-groove structure, and leaf offsets can contribute up to 8% in the mean dose uncertainty.[27] The over/undershoot phenomenon is also a consequence of the delivery system and can also affect the dose delivery accuracy. This phenomenon is directly related to the dose rate.[10],[11],[28] The fact that we observed a significant improvement in percentage pass rate with decrease in dose rate is an indirect evidence of the impact of over/undershoot effect on dose delivery accuracy. We observed a 1.5% improvement in gamma percentage pass rate with a decrease in dose rate.
Other researchers have documented these effects on dose delivery accuracy. Ezzell and Chungbin [11] concluded that since the MU errors due to the over/undershoot phenomenon do not tend to accumulate, the sum total effect is not significant in high-dose region. While this is contrary to our findings, it is worth noting that the Ezzell and Chungbin's dosimetry was done using Kodak films known for limited dynamic range. To prevent saturation on the film, the plan MU had to be reduced. Xia et al.[10] also concluded that since the small MU segments were spread out throughout the entire IMRT fields, the overshoot and undershoot phenomenon was clinically insignificant. Similarly, it is worth noting that their dosimetry was carried out with ionization chamber. They found that the dose difference was within 2% between the measured and calculated doses in a relatively uniform high-dose region. Stell et al.[12] also reported the MU errors in implementing SMLC using Varian 2100CD. They analyzed the dose errors using log files and found that the dose differences between the original and recalculated plans were within 3%. No actual measured dose was conducted.
Our study is the first study that had specifically look into how the dose rate affects the patient IMRT QA gamma percentage pass rate. Our linac was commissioned for IMRT and the machine characteristics met the AAPM [1] recommendations. In particular, the dose/MU was found to be very linear (r = 0.99).
Effect of low monitor unit
Another suggestion that has been put forward to minimize IMRT inaccuracy due to MU delivery errors is to limit the minimum number of MU/segment. It is worth mentioning that the minimum MU was very critical in the early days of IMRT using the Corvus TPS. This is because the TPS generated segments with <1 MU. It was shown by Ezzell and Chungbin [11] that in some instances these segments with low MU were skipped altogether because of the overshoot phenomenon.
In addition to its effect on MU errors, small MUs are associated with a high degree of uncertainties.[29] Most investigators agree that dose delivery accuracy with small MU segments is machine specific; thus, individual institutions are advised to evaluate the characteristics of small MU settings before IMRT commissioning.[28] There have been a few studies addressing the photon beam characteristics at low MU, including dose linearity, stability of flatness, and symmetry.[29],[30] Using a Varian 21EX, Kang et al.[30] observed that as the MU approached 1 per se gment, the beam output increased up to 2% for 300 MU/min and 4.5% for 600 MU/min. They suggested that limiting the MU per se gment to 7 or higher for 600 MU/min will result in <1% dose variation. Another study for segments with 400 MU/min on a Varian 2100C suggested segments of larger than 5 MU for the enhanced dose accuracy.[11] Grigorov et al. suggested that overall, to acquire sufficient beam start-up time, larger MU/segment and lower dose rates should be used.[8]
We found as part of our IMRT commissioning that limiting the minimum number of MU/segment to 3 provided the best dose accuracy per se gment. Also, the accuracy of the machine output as a function of dose rate was found to be highly stable with a variation of < 0.4% between 300 MU/min and 600 MU/min dose rates.
Plan complexity
Another suggestion for IMRT delivery accuracy is to limit the degree of modulation.[21],[31] The complexity of IMRT plans arises from beam modulation. Most IMRT plans require a large number of small and/or irregularly shaped beam segments to achieve high-dose conformity. These small beam segments carry higher dose uncertainties than those found in the large fields used in 3DCRT. In the treatment planning process, the beam complexity increased as the minimum segment area decreased and as the number of optimization iterations and the maximum number of segments increased.[32] Overly modulated fields can increase beam-on time and may be mechanically more challenging to deliver. Longer beam-on time increases integral dose to OAR due to inter- and intraleaf transmission leakage and scatter.[31] Highly modulated fields may also be more likely to suffer from tongue-and-groove effect.[27] Overly modulated fields may suffer from the interplay effect of MLC position and moving target. A study by Jiang et al.[33] indicated that many step-and-shoot IMRT treatment plans delivered today are more complex than necessary and can be simplified without sacrificing plan quality.
One indicator of the level of modulation is the number of segments per treatment. We found that the percentage gamma pass rate was inversely related to the number of segments (r = 0.45). This finding has been supported by others like Létourneau et al.[34] and Stell et al.[12] Létourneau et al.[34] found that the disagreement between the measured and calculated dose maps increases generally with the number of segments per beam and with the use of small segments delivering an appreciable fraction of the MUs. It is difficult to set fast rules in terms of required number of complexity for each plan. This is because different clinical treatment sites have an inherent difference in the level of complexity that would be required to create a clinically acceptable plan, based on the differences in typical target shape, size, and location with respect to critical structures. However, the planner should still exercise judgment in terms of the level of complexity. It should be a red flag if a simple shaped target has a high number of segments.
New TrueBeam ™ problem limited to the C-series
One obvious solution to the problem of the overshoot and undershoot is to improve the communication between the linac and MLC controllers. This is a solution that has been implemented in the new Varian TrueBeam ™.[7],[35] The new generation Varian TrueBeam ™ linacs (Varian Medical Systems) has an integrated linac and MLC control system that communicates with each component retrospectively every 10 ms. This information is then used to prospectively instruct each component for the subsequent 10 ms and 20 ms to synchronize the planned and actual treatment delivery. Li et al. reported that the TrueBeam ™, as compared to the Trilogy ® has improved dose delivery accuracy of SMLC fields, particularly for low-dose segments (1 or 2 MU), at high dose rates of up to 600 MU/min, with no obvious overshoot or undershoot trend.[7] Their finding have recently been supported by the study of Agnew et al.[35] It is worth noting that with the implementation of volumetric-modulated arc therapy (VMAT) on Varian C-series, traditional IMRT using SMLC will less frequently be used and the overshoot/undershoot problem will be less significant.
| Conclusions | | |
For Varian C-series, the accuracy of the dose measured compared to the plan as evaluated using ArcCHECK™ is dependent on the dose rate. This can indirectly be accounted for by the effect of the over/undershoot phenomenon.
To limit the impact of dose rate effect on measured dose, it is highly suggested that the number of mean MU/segment should be increased. In other words, highly modulated treatment plans should be avoided as possible.
IMRT requires better accuracy in every respect of treatment, including patient setup and beam characteristics; accumulated and combined errors make up the final treatment error that should be minimized as much as possible. It is necessary that any apparent error, even minute, must be minimized if possible. In this respect an error from dose rate needs to be reduced by using lower dose rate in the IMRT planning process.
Acknowledgment
We are sincerely grateful for the editorial assistance of Lashonda M DeCarlo.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
| References | | |
| 1. | Ezzell GA, Galvin JM, Low D, Palta JR, Rosen I, Sharpe MB, et al. Guidance document on delivery, treatment planning, and clinical implementation of IMRT: Report of the IMRT Subcommittee of the AAPM Radiation Therapy committee. Med Phys 2003;30:2089-115.  [ PUBMED] |
| 2. | Bortfeld T. IMRT: A review and preview. Phys Med Biol 2006;51:R363-79. [ PUBMED] |
| 3. | Staffurth J, Radiotherapy Development Board. A review of the clinical evidence for intensity-modulated radiotherapy. Clin Oncol (R Coll Radiol) 2010;22:643-57. [ PUBMED] |
| 4. | Bortfeld TR, Kahler DL, Waldron TJ, Boyer AL. X-ray field compensation with multileaf collimators. Int J Radiat Oncol Biol Phys 1994;28:723-30. [ PUBMED] |
| 5. | Galvin JM, Chen XG, Smith RM. Combining multileaf fields to modulate fluence distributions. Int J Radiat Oncol Biol Phys 1993;27:697-705. [ PUBMED] |
| 6. | Convery DJ, Webb S. Generation of discrete beam-intensity modulation by dynamic multileaf collimation under minimum leaf separation constraints. Phys Med Biol 1998;43:2521-38. [ PUBMED] |
| 7. | Li J, Wiersma RD, Stepaniak CJ, Farrey KJ, Al-Hallaq HA. Improvements in dose accuracy delivered with static-MLC IMRT on an integrated linear accelerator control system. Med Phys 2012;39:2456-62. [ PUBMED] |
| 8. | Grigorov GN, Chow JC, Barnett RB. Dosimetry limitations and a dose correction methodology for step-and-shoot IMRT. Phys Med Biol 2006;51:637-52. [ PUBMED] |
| 9. | Kuperman VY, Lam WC. Improving delivery of segments with small MU in step-and-shoot IMRT. Med Phys 2006;33:1067-73. [ PUBMED] |
| 10. | Xia P, Chuang CF, Verhey LJ. Communication and sampling rate limitations in IMRT delivery with a dynamic multileaf collimator system. Med Phys 2002;29:412-23. [ PUBMED] |
| 11. | Ezzell GA, Chungbin S. The overshoot phenomenon in step-and-shoot IMRT delivery. J Appl Clin Med Phys 2001;2:138-48. [ PUBMED] |
| 12. | Stell AM, Li JG, Zeidan OA, Dempsey JF. An extensive log-file analysis of step-and-shoot intensity modulated radiation therapy segment delivery errors. Med Phys 2004;31:1593-602. [ PUBMED] |
| 13. | 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. [ PUBMED] |
| 14. | Fowler JF, Welsh JS, Howard SP. Loss of biological effect in prolonged fraction delivery. Int J Radiat Oncol Biol Phys 2004;59:242-9. [ PUBMED] |
| 15. | Bewes JM, Suchowerska N, Jackson M, Zhang M, McKenzie DR. The radiobiological effect of intra-fraction dose-rate modulation in intensity modulated radiation therapy (IMRT). Phys Med Biol 2008;53:3567-78. [ PUBMED] |
| 16. | Karan T, Moiseenko V, Gill B, Horwood R, Kyle A, Minchinton AI, et al. Radiobiological effects of altering dose rate in filter-free photon beams. Phys Med Biol 2013;58:1075-82. |
| 17. | Petoukhova AL, van Egmond J, Eenink MG, Wiggenraad RG, van Santvoort JP. The ArcCHECK diode array for dosimetric verification of HybridArc. Phys Med Biol 2011;56:5411-28. [ PUBMED] |
| 18. | Feygelman V, Zhang G, Stevens C, Nelms BE. Evaluation of a new VMAT QA device, or the “X” and “O” array geometries. J Appl Clin Med Phys 2011;12:3346. [ PUBMED] |
| 19. | Low DA, Dempsey JF. Evaluation of the gamma dose distribution comparison method. Med Phys 2003;30:2455-64. [ PUBMED] |
| 20. | Ezzell GA, Burmeister JW, Dogan N, LoSasso TJ, Mechalakos JG, Mihailidis D, et al. IMRT commissioning: Multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. Med Phys 2009;36:5359-73. [ PUBMED] |
| 21. | McNiven AL, Sharpe MB, Purdie TG. A new metric for assessing IMRT modulation complexity and plan deliverability. Med Phys 2010;37:505-15. [ PUBMED] |
| 22. | Galvin JM, Ezzell G, Eisbrauch A, Yu C, Butler B, Xiao Y, et al. Implementing IMRT in clinical practice: A joint document of the American Society for Therapeutic Radiology and Oncology and the American Association of Physicists in Medicine. Int J Radiat Oncol Biol Phys 2004;58:1616-34. [ PUBMED] |
| 23. | van Elmpt W, McDermott L, Nijsten S, Wendling M, Lambin P, Mijnheer B, et al. A literature review of electronic portal imaging for radiotherapy dosimetry. Radiother Oncol 2008;88:289-309. |
| 24. | Low DA, Moran JM, Dempsey JF, Dong L, Oldham M. Dosimetry tools and techniques for IMRT. Med Phys 2011;38:1313-38. [ PUBMED] |
| 25. | Kozelka J, Robinson J, Nelms B, Zhang G, Savitskij D, Feygelman V, et al. Optimizing the accuracy of a helical diode array dosimeter: A comprehensive calibration methodology coupled with a novel virtual inclinometer. Med Phys 2011;38:5021-32. |
| 26. | Kutcher GJ, Coia L, Gillin M, Hanson WF, Leibel S, Morton RJ, et al. Comprehensive QA for radiation oncology: Report of AAPM Radiation Therapy Committee Task Group 40. Med Phys 1994;21:581-618. [ PUBMED] |
| 27. | Li JS, Lin T, Chen L, Price RA Jr., Ma CM. Uncertainties in IMRT dosimetry. Med Phys 2010;37:2491-500. |
| 28. | Li JG, Dempsey JF, Ding L, Liu C, Palta JR. Validation of dynamic MLC-controller log files using a two-dimensional diode array. Med Phys 2003;30:799-805. [ PUBMED] |
| 29. | Kemikler G, Acun H. Beam characteristics of megavoltage beams at low monitor unit settings. Phys Med 2011;27:203-8. [ PUBMED] |
| 30. | Kang SK, Cheong KH, Hwang T, Cho BC, Kim SS, Kim KJ, et al. Dosimetric characteristics of linear accelerator photon beams with small monitor unit settings. Med Phys 2008;35:5172-8. [ PUBMED] |
| 31. | Nauta M, Villarreal-Barajas JE, Tambasco M. Fractal analysis for assessing the level of modulation of IMRT fields. Med Phys 2011;38:5385-93. [ PUBMED] |
| 32. | Du W, Cho SH, Zhang X, Hoffman KE, Kudchadker RJ. Quantification of beam complexity in intensity-modulated radiation therapy treatment plans. Med Phys 2014;41:021716. [ PUBMED] |
| 33. | Jiang Z, Earl MA, Zhang GW, Yu CX, Shepard DM. An examination of the number of required apertures for step-and-shoot IMRT. Phys Med Biol 2005;50:5653-63. [ PUBMED] |
| 34. | Létourneau D, Gulam M, Yan D, Oldham M, Wong JW. Evaluation of a 2D diode array for IMRT quality assurance. Radiother Oncol 2004;70:199-206. |
| 35. | Agnew CE, Irvine DM, Hounsell AR, McGarry CK. Improvement in clinical step and shoot intensity modulated radiation therapy delivery accuracy on an integrated linear accelerator control system. Pract Radiat Oncol 2014;4:43-9. [ PUBMED] |
[Figure 1], [Figure 2]
[Table 1], [Table 2]
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