Skip to main content

Two years experience with quality assurance protocol for patient related Rapid Arc treatment plan verification using a two dimensional ionization chamber array

Abstract

Purpose

To verify the dose distribution and number of monitor units (MU) for dynamic treatment techniques like volumetric modulated single arc radiation therapy - Rapid Arc - each patient treatment plan has to be verified prior to the first treatment. The purpose of this study was to develop a patient related treatment plan verification protocol using a two dimensional ionization chamber array (MatriXX, IBA, Schwarzenbruck, Germany).

Method

Measurements were done to determine the dependence between response of 2D ionization chamber array, beam direction, and field size. Also the reproducibility of the measurements was checked. For the patient related verifications the original patient Rapid Arc treatment plan was projected on CT dataset of the MatriXX and the dose distribution was calculated. After irradiation of the Rapid Arc verification plans measured and calculated 2D dose distributions were compared using the gamma evaluation method implemented in the measuring software OmniPro (version 1.5, IBA, Schwarzenbruck, Germany).

Results

The dependence between response of 2D ionization chamber array, field size and beam direction has shown a passing rate of 99% for field sizes between 7 cm × 7 cm and 24 cm × 24 cm for measurements of single arc. For smaller and larger field sizes than 7 cm × 7 cm and 24 cm × 24 cm the passing rate was less than 99%. The reproducibility was within a passing rate of 99% and 100%. The accuracy of the whole process including the uncertainty of the measuring system, treatment planning system, linear accelerator and isocentric laser system in the treatment room was acceptable for treatment plan verification using gamma criteria of 3% and 3 mm, 2D global gamma index.

Conclusion

It was possible to verify the 2D dose distribution and MU of Rapid Arc treatment plans using the MatriXX. The use of the MatriXX for Rapid Arc treatment plan verification in clinical routine is reasonable. The passing rate should be 99% than the verification protocol is able to detect clinically significant errors.

Introduction

Rapid Arc radiotherapy technology from Varian Medical Systems is one of the most complex delivery systems currently available, and achieves an entire intensity-modulated radiation therapy (IMRT) treatment in a single gantry rotation around the patient. Three dynamic parameters can be continuously varied to create IMRT dose distributions: speed of rotation, beam shaping aperture and delivery dose rate [1]. The variation of three dynamic parameters is used to cover the planning target volume with clinical acceptable dose and to spare the organs at risk (OAR) and normal tissue. Due to the volumetric single arc the treatment can be performed in less time than IMRT treatment. Some studies compared the dose to OAR, healthy tissue sparing, and target coverage of Rapid Arc to conventional forwardly planed radiotherapy technique, fixed field IMRT, Helical Tomotherapy, and Intensity Modulated Proton therapy [2–17].

Presupposition for clinically significant advances in the management of cancer is the correct calculation of the dose distribution and the correct treatment delivery. Gagne at al. have shown that the calculation of the dose distribution can be performed with a clinical acceptable accuracy using the algorithm AAA (anisotropic analytical algorithm [18, 19]) with a resolution of 2.5 mm or better [20]. Ling et al. have shown that the DMLC movement, variable dose-rates and gantry speeds can be precisely controlled during Rapid Arc [21].

In opposite to 3D conventional treatment techniques in dynamic treatment techniques the verification of the MU is much more complex. Therefore the dose distribution is verified using 2D or 3D measuring devices like 2D ionization chamber arrays or phantoms equipped with radiographic films. In the past some investigations were done to ascertain the potential of different types of 2D ionization chambers for IMRT verification measurements [22–36].

The purpose of this study was to analyze the potential of the MatriXX for patient related verification of Rapid Arc treatment plans. Therefore some preparing measurements were done. We determined the dependence between response of the MatriXX, beam direction, and field size. Also we repeated 2D dose distribution measurements ten times and compared each measurement with the first one to check the reproducibility of the method.

Materials and methods

Two dimensional ionization chamber array

The two dimensional ionization chamber array consists of a 32 × 32 matrix of 1024 parallel plate ionization chambers. The ionization chambers are arranged in a square of 24 cm × 24 cm as active measuring area. Each chamber has 0.4 cm diameter and 0.55 cm height. The distance between each ionization chamber is 0.75 cm from centre to centre of adjacent chambers. The sensitive volume of each single ionization chamber is 0.07 cm3. Each of the 1024 independent ionization chambers is read out with a custom microelectronics chip.

Preparing measurements

To analyse the potential of the MatriXX for verification of Rapid Arc treatment plans two measurement series were accomplished. First the dependence of MatriXX response of beam direction and field size were analysed. Therefore the MatriXX was irradiated with unblocked photon arc fields with field sizes of 3 cm × 3 cm, 5 cm × 5 cm, 10 cm × 10 cm, 20 cm × 20 cm, 24 cm × 24 cm, and 30 cm × 30 cm. The unblocked photon arc fields were irradiated using a full rotation of the gantry around the MatriXX (start angle 181°, stop angle 179°, counter clockwise, Varian scale IEC 601). Second the reproducibility was checked for field size of 10 cm × 10 cm. Therefore the measurement was compared with repeated measurements with the same setup using the gamma evaluation method with the criteria 3% und 2 mm, no threshold, 2D global gamma index [37]. The measurement was repeated ten times. The measurements took place at the Clinac 2300 C/D (Varian Medical System, Palo Alto, CA, USA). For all measurements a photon energy of 6 MVphotons was used. 500 MU were applied for all measurements. The MatriXX was used in the acquisition mode "Movie Mode". The sampling time was set to 200 ms, the maximum number of sample to 5, and the number of movie images to 2000. The measured matrix was interpolated linear to 1 mm and was scaled relative to maximum. All measurements were normalized to maximum dose. For the treatment the verification plan has to be prepared within the record and verify system. The manufacturer declared a warm up time of 15 min and pre-irradiation with 10 Gy before measurement.

Patient treatment plans

Different patient treatment plans were used, 53 treatment plans of the head region, 68 treatment plans of the head and neck region, and 312 treatment plans of the pelvis region. A total of 433 different treatment plans in complexity with 598 arcs were measured and analyzed. For treatment of gliomas a total dose (TD) of 60 Gy with a single dose (SD) of 2.0 Gy was used. The other treatments in the head regions were applied with a TD of 30 Gy (SD 2.75 Gy) to the whole brain with a concomitant boost with a TD of 45 Gy (SD 3.75 Gy). Additional the boost plans of cerebral metastases with a TD of 9 Gy or 15 Gy (SD 2.5 Gy or 3.0 Gy, respectively) are analysed. Head and neck cancer patients were treated using an integrated protocol with a TD 54 Gy (SD 1.8 Gy) to lymph node regions, which were possible involved, and a TD 57.6 Gy (SD 1.92 Gy) to lymph node regions, which are involved with a high possibility. The region of the primary tumour was treated with a TD of 66 Gy (SD 2.2 Gy) for treatment with a curative intent and with a TD of 62.4 Gy (SD 2.08 Gy) for adjuvant intent. In the pelvis region patient with rectal cancer (neo adjuvant treatment with TD 50.4 Gy, SD 1.8 Gy), cervical cancer (adjuvant treatment with TD 50.4 Gy, SD 1.8 Gy) and prostate cancer were analysed. The TD for patient with prostate cancer differed between 60 Gy to 72 Gy (SD 2.0 Gy). Some patient received additional and concomitant treatment of the lymph node region with a TD of 45 Gy (SD 1.8 Gy). For all treatment plans photon energy of 6 MVPhotons with the dose rate of 600 MU/min (800 MU/min for field size smaller than 15 cm × 15 cm and energy mode 6 MVphotons SRS) were used. The treatment plans were optimized for single or double arc delivery (s. table 1 for average field size and for average MU). For single arc delivery the gantry rotated clockwise around the patient, for double arc delivery first clockwise and second counter clockwise. The start angle for single arc in clockwise direction ranged between 181° and 270°, and the stop angle between 90° and 179°. The start angle for the second arc in counter clockwise direction ranged between 90° and 179°, and the stop angle for the second arc in counter clockwise direction between 181° and 270°. For each treatment plan 177 control points were set. The dose distribution for all plans were calculated with Eclipse treatment planning system (TPS) from Varian Medical Systems, version 8.5; using AAA algorithm with a grid size of 0.2 cm × 0.2 cm × 0.2 cm. The AAA is a 3D pencil Beam convolution/superposition algorithm that uses separate Monte Carlo derived modelling for primary photons, scattered extra-focal photons, and electrons scattered from the beam limiting devices [18, 19]. The treatment couch structures (exact couch, Varian Medical Systems, Palo Alto, CA, USA) were considered during the calculation process.

Table 1 Results.

Verification treatment plans

The patient Rapid Arc treatment plan was projected on the CT scan of the MatriXX including 4 cm polymethylmethacrylate (PMMA) above and underneath the active measuring area to account for build up and backscatter. The isocenter was positioned at the centre of the active measuring area. For calculation of the dose distribution the TPS Eclipse using the AAA algorithm, version 8.5 with a grid size of 0.2 cm × 0.2 cm × 0.2 cm was used. The treatment couch structures were considered during the calculation process.

Analysis

The 2D dose distribution in the active measuring area in the frontal CT slice of the verification plan was exported with the resolution of 1 mm and imported into the software OmniPro. The measured dose distribution was generated during single or double rotation of the gantry around the MatriXX. The acquisition mode, scaling mode, sampling time, number of samples, number of movie images and interpolation algorithm was set as described above. The analysis was made using gamma evaluation method [37] to compare measured and calculated dose distribution. The gamma evaluation criteria were 3% and 3 mm, no threshold, 2D global gamma index. For the analysis of the gamma evaluation result the histogram of the gamma evaluation was displayed. The histogram of the gamma evaluation plotted the number of pixel against the gamma value. The total number of pixel with a gamma value above 1 was divided by the total number of pixel within the region of interest (ROI). The ROI was set to field size +1 cm.

Results

Preparing measurements

The MatriXX response agrees within 99% of pixel with gamma evaluation value beneath 1 for field sizes between 7 cm × 7 cm and 24 cm × 24 cm for measurements of single arc. For smaller and larger field sizes then 7 cm × 7 cm and 24 cm × 24 cm the response was less than 99% of the pixel with gamma evaluation value beneath 1. The passing rate was 93.8% for field size 3 cm × 3 cm, 98.3% for field size 5 cm × 5 cm, and 82.2% for field size 30 cm × 30 cm, respectively. The reproducibility was within a passing rate of 99% and 100% (range 99.4% and 100.0%).

Verification treatment plans

The mean treatment time was 1.05 min for all patients, ranging from 0.78 min to 1.56 min. We do not use full rotation of the gantry around the patient for all treatments. If possible we spared the treatment couch and OAR, which have low dose tolerance like lenses. The system tried to move the gantry with maximum speed if the leafs of the multi leaf collimator (MLC) could move into the given position that fast and the MU could be delivered that fast. If the dose rate reached the maximum of 600 MU/min (800 MU/min for field sizes smaller than 15 cm × 15 cm and energy mode 6 MVphotons SRS) the gantry speed was reduced.

After measurement, both - measured and calculated dose distribution - were compared using gamma evaluation method implemented in the software OmniPro. Using the histogram the distribution of the gamma evaluation was displayed. The results of the ratio of the number of pixel beneath the gamma evaluation value of 1 divided by the total number of pixel within the ROI is shown in table 1.

The passing rate was between 99.0% and 100.0% in 431 of 433 cases. In two cases - one head and neck and one prostate case - the passing rate was 97.7% and 98.8%, respectively. In 53 head cases the mean passing rate was 99.88% ± 0.19% with PTV volume sizes ranging between 7.9 ml and 1895.0 ml and the resulting square field sizes between 7.0 cm and 24.0 cm. The mean passing rate in 68 head and neck cases was 99.80% ± 0.39% with PTV volume size ranging between 22.3 ml and 1916.3 ml and the resulting square field sizes between 7.0 cm and 24.0 cm. For 312 cases in pelvis region the mean passing rate was 99.54% ± 0.21% with PTV volume sizes ranging between 37.6 ml and 3559.8 ml and the resulting square field sizes between 7.2 cm and 24.0 cm.

To check if the verification protocol is able to detect clinically significant errors the original patient Rapid Arc treatment plan was manipulated. Therefore the MLC position (Millennium 120 Multi leaf collimator, Varian Medical Systems, Palo Alto, CA, USA) was changed and the dose distribution was calculated with the changed MLC position. To change the MLC position single leafs has to be set to another position at all 177 control points using the MLC movement tool of the TPS. The 2D dose distribution was measured and compared with the original, unchanged 2D dose distribution. If the MLC position was changed in a way that the dose distribution was changed clinically significant and therefore the probability of toxicity was increased the passing rate was less than 99% with the settings of the MatriXX mentioned above (s. figure 1). Clinically significant means increasing the dose to the OAR higher than the given limits by Emami et al. [38], and decreasing the dose to the PTV according to ICRU-50 report.

Figure 1
figure 1

a) Example of measured 2D dose distribution of a head and neck case. The MLC positions were changed in the region of the spinal cord to got higher dose to the spinal cord which could not be clinically tolerated. b) Passing rate against the maximum dose to the spinal cord of the same head and neck case. 4 Rapid Arc treatment plans were generated by changing the MLC positions. The changed Rapid Arc treatment plans were compared to the original Rapid Arc treatment plan. The original Rapid Arc treatment plan showed a passing rate of 99.3%. The lines indicate the in our clinic tolerated limits: 45 Gy maximum dose to the spinal cord and 99% passing rate.

Uncertainty budget

Since the comparison of measured and calculated 2D dose distribution was considered as the end result, the following sources contributing to the overall uncertainty of the result were identified:

  • MatriXX measurement method

  • Monitor output fluctuation of treatment machine

  • Dose calculation of the treatment planning system

  • Specifications of treatment machine

In our study, the uncertainty components for MatriXX measurement method had to be taken into account due to positioning of MatriXX using the isocentric laser system in treatment room, the broadening of the penumbra due to the volume effect of the ionization chambers which act as low pass filter, and an additional component for response of ionization chamber reading. In addition, the daily monitor output fluctuation of the treatment machine varies up to 0.75% (daily measurements with ionization chamber). The manufacturer of the treatment machine specifies dose stability during gantry rotation to 2%; accuracy of gantry, collimator, and couch rotation to 0.75 mm; and accuracy of MLC positioning to 1 mm. For the accuracy of the dose calculation, the manufacturer specifies 1.0% for unblocked photon fields. The uncertainty of the treatment machine's basic data measurements had to be taken into consideration within 2 mm. The consideration of 2 mm contained the exact positioning of the ionization chamber during basic data measurements for the TPS before clinical operation. The different contributions are listed in table 2.

Table 2 Uncertainty components for the verification method.

The common used gamma evaluation criteria 3% and 3 mm were assumed to be sufficient for the evaluation of the measured and calculated 2D dose distribution in the active measurement area of the MatriXX.

Discussion

We investigated this study to generate a patient related verification procedure for Rapid Arc treatment plans.

Before we started to generate the verification protocol we investigated measurements to analyse the potential of the MatriXX for unblocked photon arc fields. The MatriXX response showed good agreements between calculated and measured dose distribution for field sizes of 7 cm × 7 cm and 24 cm × 24 cm with a passing rate between 99% and 100%. Higher aberrations were found for smaller field sizes than 7 cm × 7 cm and for larger field sizes than 24 cm × 24 cm. During Rapid Arc verification measurement we measured the whole dose distribution which consists of 177 control points (177 beam directions with different MLC shapes and gantry speeds between each beam direction). 2/177 beams irradiated perpendicular through the MatriXX. In addition a range of control points irradiated near lateral through the MatriXX. The advantage of the MatriXX is cylindrical parallel plate chambers. Our results showed good agreement between measured and calculated dose distribution in the active measurement area. We assume that the TPS considered the beam angle dependence of the MatriXX correctly. Correctly in this context means that the angular dependence is clinically tolerable for field sizes between 7 cm × 7 cm and 24 cm × 24 cm.

In our study we projected the patient Rapid Arc treatment plan with its MLC shape, gantry speed and dose rate parameters on the CT dataset of the MatriXX including 4 cm build up and 4 cm backscatter material as well as the treatment couch structures. The electron density of the different parts of the MatriXX as well as the treatment couch was considered during dose distribution calculation. Using the TPS Eclipse V. 8.5 and above it is possible to insert Varian treatment couch types to the CT dataset. The absorption of the treatment couch is considered by giving the system Hounsfield Units (HU) for each part of the treatment couch like couch top and rails. The correct HU were determined by comparison of measured values using an ionization chamber and calculated values by TPS [for more details s. [39]]. In the past several studies were published which showed that the treatment couch attenuation is up to 3% for beam direction 180° and up to 9% for oblique beam directions [40–45] and needs to be considered.

According to the study of Ling et al. [21] quality assurance of treatment machine especially for Rapid Arc was done monthly as well as weekly measurements of absolute dose of arc fields and dynamic MLC fields using ionization chamber. Due to our quality assurance we could be sure that the treatment machine delivered complex Rapid Arc plans correctly if the 2D dose distribution was within the passing rate of 99% using the presented method.

Wolfsberger et al. presented recently their method for IMRT and Rapid Arc quality assurance [36]. They showed in their study that the MatriXX response is dependent on beam directions. The dependency was 7% to 11% for perpendicular and oblique beam directions and need to be corrected. They suggest correcting the angular dependence using correction factors for each beam angle. Popple et. al. published their first experience with patient related quality assurance of dynamic treatment techniques (IMRT and Rapid Arc) of 52 cases [46]. In their study they considered the angular dependence of the 2D ionization chamber array as well. In opposite to Wolfsberger et. al. they corrected the angular dependence using a special formed phantom (Multicube, IBA, Schwarzenbruck) which considered for the angular dependence. Van Esch et. al. considered the angular dependence of the 2D ionization chamber array in the same way using a special formed phantom [27]. Our presented method allows the quality assurance of Rapid Arc treatment plans prior to treatment. The method was tested for quality assurance of 433 treatment plans with different complexity. We projected the patient treatment plan on the CT dataset of the MatriXX including the treatment couch structures and calculated the dose distribution using the AAA algorithm. Due to our results we conclude that the angular dependence may be considered correctly/clinically tolerable in the TPS if the CT dataset of the measurement device including 4 cm build up and 4 cm backscatter material, the treatment couch structures, and the AAA algorithm with a grid size of 0.2 cm × 0.2 cm × 0.2 cm are used for field sizes between 7 cm × 7 cm and 24 cm × 24 cm.

In different studies [for example [27, 36], and [46]] the angular dependence of 2D ionization chamber array are determined and considered in different ways. All studies showed that with their presented method the angular dependence was considered correctly to use the measurement device for the quality assurance of dynamic treatment techniques. In our study we considered for the angular dependence by calculation of the dose distribution on the CT dataset of the MatriXX, by considering the treatment couch structures during the calculation process, by using all beam directions of all 177 control points, by using 4 cm PMMA for build up and 4 cm PMMA for backscatter, and by using the AAA algorithm with a grid size of 0.2 cm × 0.2 cm × 0.2 cm. Due to this setup the effect of angular dependence of the MatriXX is clinically tolerable for 2D dose distribution comparison using the gamma evaluation method with criteria 3% and 3 mm.

To characterize the angular sensitivity of the MatriXX we have done measurements before starting to implement a verification protocol for patient related Rapid Arc treatment plan verifications. We have used a different way to characterize the angular dependence and field size dependence of the MatriXX. We combined both end results in one test to get one combined end result. We felt that this method is adequate because during the Rapid Arc treatment and the measurement of the 2D dose distribution using the MatriXX the dependence of angular beams and dependence of field sizes are combined as well. Different studies have shown dependence of beam angle and treatment couch considering as single end result, but did not combine different end results. By combining different end results in one test setup the potential of the measurement device can be seen easily for the setup which will be used during quality assurance measurements.

Herzen et al. analysed the dose and energy dependence of the MatriXX. They showed that the detector's response was linear with dose and energy independent [30]. The purpose of the development of two dimensional detector arrays was to ease the two dimensional verifications of fields with complex shapes and large gradients [26]. Since two dimensional detector arrays have been developed, these systems have been used for quality control and verification of IMRT. The results of some studies were in good agreement with calculations performed with the TPS and with the standard dosimetric tools, i.e., films or various point dose detectors [22–24].

The MatriXX has the potential for Rapid Arc treatment plan verifications. If the MLC position was changed in a way that the dose distribution was changed clinically significant, the passing rate was less than 99% with gamma criteria 3% and 3 mm for the presented method (s. figure 1). For a passing rate below 99% the optimization and calculation of the patient Rapid Arc treatment plan has to be redone using other constraints for the optimization process to smooth the dose gradients.

The measured and calculated doses were normalized relative to dose maximum. By the normalization process the deviation in the gamma evaluation method were suppressed in low dose regions. It has to be taken into account that OAR are presented in the low dose region and the passing of the gamma evaluation criteria 3% and 3 mm may result in larger deviation in this regions. However in the most cases the gradients and modulations were not really high using the treatment protocols for the presented cases as described above and Rapid Arc treatments. Therefore the normalization method could be tolerated.

We set the passing rate to 99% than the verification protocol is able to detect clinically significant errors as the manipulated measurements showed. Some of the irradiated ionization chambers of the MatriXX may have significant larger deviations. This larger deviation may lead to patient mistreatment. It has to be taken into account that the mistreatment was true for the actual fraction. However the patient was setup several times for the treatment and the single larger deviations will be spread.

For IMRT treatment plans the manufacturer has implemented the use of the portal imager as measuring device. It is quite easy to verify IMRT treatment plans with portal dosimetry because of no need to set up an external measuring device. Therefore the setup error has not to be taken into account using the laser system in the treatment room. The manufacturer is questioned to provide the portal dosimetry system for Rapid Arc verifications as well.

Conclusion

The method is easy to implement into clinical routine. Verifying 2D dose distribution and MU with the MatriXX for Rapid Arc treatment plans is reasonable. The passing rate should to be 99% to detect clinically significant errors using the gamma criteria 3% and 3 mm, 2D global gamma index.

References

  1. Bush K, Townson R, Zavgorodni S: Monte Carlo simulation of RapidArc radiotherapy delivery. Phys Med Biol 2008, 53: 359-370. 10.1088/0031-9155/53/19/N01

    Article  Google Scholar 

  2. Cozzi L, Dinshaw KA, Shirvastave SK, Mahantshetty U, Engineer R, Deshpande DD, Jamema SV, Vanetty E, Clivio A, Nicolini G, Fogliata A: A treatment planning study comparing volumetric arc modulation with RapidArc and fixed field IMRT for cervix uteri radiotherapy. Radiother Oncol 2008, 89: 180-191. 10.1016/j.radonc.2008.06.013

    Article  PubMed  Google Scholar 

  3. Clivio A, Fogliata A, Franzetti-Pellanda A, Nicolini G, Vanetti Em Wyttenbach R, Cozzi L: Volumetric-modulated arc radiotherapy for carcinomas of the anal canal: A treatment planning comparison with fixed field IMRT. Radiother Oncol 2009, 92: 118-124. 10.1016/j.radonc.2008.12.020

    Article  PubMed  Google Scholar 

  4. Vanetti , Clivio A, Nicolini G, Fogliata A, Ghosh-Laskar S, Aqarwal JP, Upreti RR, Budrikkar A, Murthy V, Deshpande DD, Shrivastava SK, Dinshaw KA, Cozzi L: Volumetric modulated ard radiotherapy for carcinomas of the oro-pharynx, hypo-pharynx and larynx: A treatment planning comparison with fixed field IMRT. Radiother Oncol 2009, 92: 111-117. 10.1016/j.radonc.2008.12.008

    Article  PubMed  Google Scholar 

  5. Fogliata A, Yartsev S, Nicolini G, Clivio A, Vanetti E, Wyttenbach R, Baumann D, Cozzi L: On the performance of Intensity Modulated Protons, RapidArc and Helical Tomotherapy for selected paediatric cases. Radiother Oncol 2009, 4: 2.

    Article  Google Scholar 

  6. Fogliata A, Clivio A, Nicolini G, Vanetti E, Cozzi L: Intensity modulation with photons for benign intracranial tumours: a planning comparison of volumetric single arc, helical arc and fixed gantry techniques. Radiother Oncol 2008, 89: 254-262. 10.1016/j.radonc.2008.07.021

    Article  PubMed  Google Scholar 

  7. Johansen S, Cozzi L, Olsen DR: A planning comparison of dose patterns in organs at risk and predicted risk for radiation included malignancy on the contralateral breast following radiation therapy of primary breast using conventional, IMRT and Volumetric modulated arc treatment techniques. Acta Oncol 2009, 48: 495-503. 10.1080/02841860802657227

    Article  CAS  PubMed  Google Scholar 

  8. Kjær-Kristoffersen F, Ohlhues L, Medin J, Korreman S: RapidArc volumetric modulated therapy planning for prostate cancer patients. Acta Oncol 2008, 48: 227-232.

    Article  Google Scholar 

  9. Lagerwaard F, Meijer O, van del Hoorn E, Verbakel W, Slotman B, Senan S: Volumetric modulated arc radiotherapy for vestibular schwannomas. 2009. Int J Radiat Oncol Biol Phys 2009, 74: 610-615. 10.1016/j.ijrobp.2008.12.076

    Article  PubMed  Google Scholar 

  10. Verbakel W, Senan S, Cuijpers J, Slotman B, Lagerwaard F: Rapid delivery of stereotactic radiotherapy for peripheral lung tumors using volumetric intensity modulated arcs. Radiother Oncol 2009, 93: 122-124. 10.1016/j.radonc.2009.05.020

    Article  PubMed  Google Scholar 

  11. Verbakel W, Cuijpers J, Hoffmans D, Bieker M, Slotman B: Volumetric intensity modulated arc therapy versus conventional IMRT in head and neck cancer: A comparative planning and dosimetric study. Int J Radiat Oncol Biol Phys 2009, 74: 252-259. 10.1016/j.ijrobp.2008.12.033

    Article  PubMed  Google Scholar 

  12. Wagner D, Christiansen H, Wolff H, Vorwerk H: Radiotherapy of malignant gliomas: comparison of volumetric single arc technique (RapidArc), dynamic intensitymodulated technique and 3D conformal technique. Radiother Oncol 2009, 93: 593-596. 10.1016/j.radonc.2009.10.002

    Article  PubMed  Google Scholar 

  13. Yoo S, Wu J, Lee R, Yin FF: Radiotherapy treatment plans with rapidarc for prostate cancer involving seminal vesicles and lymph nodes. Int J Radiat Oncol Biol Phys 2010,76(3):935-42. 1 10.1016/j.ijrobp.2009.07.1677

    Article  PubMed  Google Scholar 

  14. Bignardi M, Cozzi L, Fogliata A, Lattuada P, Mancosu P, Navarria P, Urso G, Vigorito S, Scorsetti M: Critical appraisal of volumetric modulated arc therapy in stereotactic body radiation therapy for metastases to abdominal lymph nodes. Int J Radiat Oncol Biol Phys 2009, 75: 1570-1577. 10.1016/j.ijrobp.2009.05.035

    Article  PubMed  Google Scholar 

  15. Nicolini G, Clivio A, Fogliata A, Vanetti E, Cozzi L: Simultaneous integrated boost radiotherapy for bilateral breast: a treatment planning and dosimetric comparison for volumetric modulated arc and fixed field intensity modulated therapy. Radiat Oncol 2009, 4: 27. 10.1186/1748-717X-4-27

    Article  PubMed Central  PubMed  Google Scholar 

  16. Popescu C, Olivotto I, Beckham W, Ansbacher W, Zavdorodni S, shaffer R, Wai E, Otto K: Volumetric modulated arc therapy improves dosimetry and reduces treatment time compared to conventional intensity-modulated radiotherapy for locoregional radiotherapy of left sided breast cancer and internal mammary nodes. Int I Radiat Oncol Biol Phys 2010, 76: 287-295. 10.1016/j.ijrobp.2009.05.038

    Article  Google Scholar 

  17. Weber D, Peguret N, Dipasquale G, Cozzi L: Involved node and involved field volumetric modulated arc vs. fixed beam intensity modulated radiotherapy for female patients with early stage supra diaphragmatic Hodgkin lymphoma: a comparative planning study. Int J Radiat Oncol Biol Phys 2009, 75: 1578-1586. 10.1016/j.ijrobp.2009.05.012

    Article  PubMed  Google Scholar 

  18. Ulmer W, Harder D: A Triple Gaussian Pencil Beam Model for Photon Beam Treatment Planning. Med Phys 1995, 5: 25-30.

    Article  Google Scholar 

  19. Ulmer W, Pyyry J, Kaissl W: A 3D photon superposition/convolution algorithm and its foundation on results of Monte Carlo calculations. Phys Med Biol 2005, 50: 1767-90. 10.1088/0031-9155/50/8/010

    Article  CAS  PubMed  Google Scholar 

  20. Gange IM, Ansbacher W, Zavgorodni S, Popescu C, Beckham WA: A Monte Carlo evaluation of RapidArc dose calculations for oropharynx radiotherapy. Phys Med Biol 2008, 53: 7167-7185. 10.1088/0031-9155/53/24/011

    Article  Google Scholar 

  21. Ling CC, Zhang P, Archambault Y, Bocanek J, Tang G, Losasso T: Commissioning and quality assurance of RapidArc radiotherapy delivery system. Int J Radiat Oncol Biol Phys 2008, 72: 575-581. 10.1016/j.ijrobp.2008.05.060

    Article  PubMed  Google Scholar 

  22. Spezi E, Angelini AL, Romani F, Ferri A: Characterization of a 2D ion chamber array for the verification of radiotherapy treatments. Phys Med Biol 2005, 50: 3361-3373. 10.1088/0031-9155/50/14/012

    Article  CAS  PubMed  Google Scholar 

  23. Wiezorek T, Banz N, Schwedas M, Scheithauer M, Salz H, Georg D, Wendt TG: Dosimetric quality assurance for intensity-modulated radiotherapy feasibility study for a filmless approach. Strahlenther Onkol 2005, 181: 468-474. 10.1007/s00066-005-1381-z

    Article  PubMed  Google Scholar 

  24. Poppe B, Djouguela A, Blechschmidt A, Willborn K, Rühmann A, Harder D: Spatial resolution of 2D ionization chamber arrays for IMRT dose verification: single-detector size and sampling step width. Phys Med Biol 2007, 52: 2921-2235. 10.1088/0031-9155/52/10/019

    Article  PubMed  Google Scholar 

  25. Amerio S, Boriano A, Bourhaleb F, Cirio R, Donetti M, Fidanzio A, Garelli E, Giordanengo S, Madon E, Marchetto F, Nastasi U, Peroni C, Piermattei A, Sanz Freire CJ, Sardo A, Trevisiol E: Dosimetric characterization of a large area pixel-segmented ionization chamber. Med Phys 2004, 31: 414-420. 10.1118/1.1639992

    Article  CAS  PubMed  Google Scholar 

  26. Stasi M, Giordanengo S, Cirio R, Boriano A, Bourhaleb F, Cornelius I, Donetti M, Garelli E, Gomola I, Marchetto F, Porzio M, Sanz Freire CJ, Sardo A, Peroni C: D-IMRT verification with a 2D pixel ionization chamber: dosimetric and clinical results in head and neck cancer. Phys Med Biol 2005, 50: 4681-4694. 10.1088/0031-9155/50/19/017

    Article  CAS  PubMed  Google Scholar 

  27. Van Esch A, Clermont C, Devillers M, Iori M, Huyskens DP: On-line quality assurance of rotational radiotherapy treatment delivery by means of a 2D ion chamber array and the Octavius phantom. Med Phys 2007, 34: 3825-3837. 10.1118/1.2777006

    Article  PubMed  Google Scholar 

  28. Herzen J, Todorovic M, Cremers F, Platz V, Albers D, Bartels A, Schmidt R: Dosimetric evaluation of a 2D pixel ionization chamber for implementation in clinical routine. Phys Med Biol 2007, 52: 1197-1208. 10.1088/0031-9155/52/4/023

    Article  CAS  PubMed  Google Scholar 

  29. Schreibmann E, Dhabaan A, Elder E, Fox T: Patient-specific quality assurance method for VMAT treatment delivery. Med Phys 2009, 36: 4530-4535. 10.1118/1.3213085

    Article  PubMed  Google Scholar 

  30. Spezi E, Angelini AL, Ferri A: A multiple acquisition sequence for IMRT verification with a 2D ion chamber array. Med Dosim 2006, 31: 269-272. 10.1016/j.meddos.2006.05.002

    Article  PubMed  Google Scholar 

  31. Poppe B, Blechschmidt A, Djouguela A, Kollhoff R, Rubach A, Willborn KC, Harder D: Two-dimensional ionization chamber arrays for IMRT plan verification. Med Phys 2006, 33: 1005-1015. 10.1118/1.2179167

    Article  PubMed  Google Scholar 

  32. Leybovich LB, Sethi A, Dogan N: Comparison of ionization chambers of various volumes for IMRT absolute dose verification. Med Phys 2003, 30: 119-1123. 10.1118/1.1536161

    Article  PubMed  Google Scholar 

  33. Bhardwaj A, Sharma SC, Patel FD, Ghoshal S, Oinam AS, Kapoor R, Kumar R, Goswami P: Use of I'mRT MatriXX for routine dynamic MLC QA and IMRT dose verification. Med Phys Abstract 2008, 35: 2761.

    Article  Google Scholar 

  34. Yu M, Nelson N, Gladstone D: Comparisons of measured doses using ion chamber and Matrixx for IMRT-QA. Med Phys Abstract 2008, 35: 2744.

    Article  Google Scholar 

  35. Heintz B, Hammond D, Cavanaugh D, Rosencranz D: A comparison of MatriXX, MapCHECK and film for IMRT QA: limitations of 2D electronic systems. Med Phys Abstract 2006, 33: 2052.

    Article  Google Scholar 

  36. Wolfsberger LD, Wagar M, Nitsch P, Bhagwat MS, Zygmanski P: Angular dose dependence of Matrixx TM and its calibration. J Appl Clin Med Phys 2010, 11: 3057.

    PubMed  Google Scholar 

  37. Low DA, Harms WB, Mutic S, Purdy JA: A technique for the quantitative evaluation of dose distribution. Med Phys 1998, 25: 656-661. 10.1118/1.598248

    Article  CAS  PubMed  Google Scholar 

  38. Emami B, Lyman J, Brown A, Coia L, Goitein M, Munzenrider JE, Shank B, Solin LJ, Wesson M: Tolerance of normal tissue of therapeutic irradiation. Int J Radiother Oncol Biol Phys 1991, 21: 109-122. 10.1016/0360-3016(91)90171-Y

    Article  CAS  Google Scholar 

  39. Wagner D, Vorwerk H: Treatment Couch Modeling in the Treatment Planning System Eclipse. J Cancer Sci Ther 2011, 3: 188-193.

    Google Scholar 

  40. Vanetti E, Nicolini G, Clivio A, Fogliata A, Cozzi L: The impact of treatment couch modelling on RapidArc. Phys Med Biol 2009, 54: 157-166. 10.1088/0031-9155/54/9/N03

    Article  Google Scholar 

  41. McCormack S, Diffey J, Morgan A: The effect of gantry angle on megavoltage photon beam attenuation by a carbon fiber couch insert. Med Phys 2005, 32: 483-487. 10.1118/1.1852792

    Article  PubMed  Google Scholar 

  42. Spezi E, Angelini AL, Romani F, Guido A, Bunkheila F, Ntreta M, Ferri A: Evaluating the influence of the Siemens IGRT carbin fibre tabletop in head and neck IMRT. Radiother Onkol 2008, 89: 114-122. 10.1016/j.radonc.2008.06.011

    Article  Google Scholar 

  43. Poppe B, Chofor N, Rühmann A, Kunth W, Djouguela A, Kollhoff R, Willborn KC: The effect of a carbon fiber couch on the depth-dose curves and transmission properties for megavoltage photon beams. Strahlenther Onkol 2007, 183: 43-48. 10.1007/s00066-007-1582-8

    Article  PubMed  Google Scholar 

  44. Myint WK, Niedbala M, Wilkins D, Gerig LH: Investigating treatment dose error due to beam attenuation by carbon fiber tabletop. J Appl Clin Med Phys 2006, 7: 21-27. 10.1120/jacmp.v7i3.2247

    Article  PubMed  Google Scholar 

  45. Munjal RK, Negi PS, Babu AG, Sinha SN, Anand AK, Kataria T: Impact of 6 MV photon beam attenuation by carbon fiber couch and immobilization divices in IMRT planning and dose delivery. J Med Phys 2006, 31: 67-71. 10.4103/0971-6203.26690

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  46. Popple RA, Fiveash JB, Brezovich IA, Bonner JA: First Year Experience at the University of Alabama at Birmingham. Int J Radiother Oncol Biol Phys 2010, 77: 932-941. 10.1016/j.ijrobp.2009.09.001

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniela Wagner.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

All authors contributed substantially to the manuscript: DW contributed in the conception and realisation of the study and data acquisition and analysis, and HV with the drafting and revising of the article. Both authors read and approved the final manuscript.

Daniela Wagner and Hilke Vorwerk contributed equally to this work.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to 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.

Reprints and permissions

About this article

Cite this article

Wagner, D., Vorwerk, H. Two years experience with quality assurance protocol for patient related Rapid Arc treatment plan verification using a two dimensional ionization chamber array. Radiat Oncol 6, 21 (2011). https://doi.org/10.1186/1748-717X-6-21

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1748-717X-6-21

Keywords