4/2015
vol. 7
Original paper
Dosimetric comparison of AcurosTM BV with AAPM TG43 dose calculation formalism in breast interstitial high-dose-rate brachytherapy with the use of metal catheters
Vivekanandam Singhavajala
J Contemp Brachytherapy 2015; 7, 4: 273-279
Online publish date: 2015/09/14
Get citation
Purpose
Breast cancer is the second most common cancer in the world and the most common cancer among women. Brachytherapy is used as a method to boost radiation dose in breast conservation treatment, as a primary treatment after initial tumour removal, followed by supplemented external beam radiotherapy [1]. The benefit of boost irradiation has been reported by the European Organization for Research and Treatment of Cancer (EORTC) 22881-10882 trial, which showed a significantly improved local control among patients who received a boost irradiation to the tumour bed [2]. One of the methods of accelerated partial breast irradiation (APBI) with the longest experience is the multi-catheter based brachytherapy [3] using either flexible or rigid metal implant.
The current approach is based on the AAPM TG-43 formalism with recent advances in acquiring single-source dose distributions. However, this formalism has clinically relevant limitations for calculating patient dose. The influence of tissue, applicator heterogeneities, and finite patient dimensions are all ignored. Heterogeneity calculations may significantly improve the accuracy of treatment planning systems because they can compensate for air in the bowel, applicator materials, and patient boundaries [4-9]. Deterministic Grid Based Boltzmann Solver (GBBS; AcurosTM BV software; Transpire Inc., Gig Harbor, WA, USA) was developed specifically to perform accurate and rapid dose calculations for radiation therapy [4]. For brachytherapy, AcurosTM BV solves the linear Boltzmann transport equation for photons on a locally adaptive Cartesian grid. A commercial TPS with a GBBS is now available for use with some number of 192Ir sources [5]. Based on the review of the literature, the author concluded that accepted clinical dose parameters can be over or underestimated by 5% in numerous situations [5-8]. Model-based dose calculation algorithms (MBDCAs) offer the possibility of departing from water-only geometries by modelling radiation transport in non-water media (tissues, applicators, air-tissue interfaces), resulting in a much more physically accurate reconstruction of the dose distribution actually delivered to the patient [8]. The purpose of this study is to compare the dosimetric parameters in breast interstitial metal implant using rigid metal catheters Varian AcurosTM BV (GBBS) algorithm and TG-43 dose formalism.
Material and methods
Patients
Twenty patients were considered for breast conservative surgery (BCS) and underwent a lumpectomy and axillary dissection. These patients received perioperative interstitial High Dose Rate brachytherapy as upfront boost using rigid metal implants. Whole breast irradiation was delivered after a gap of two weeks. The patient characteristics are tabled in Table 1.
Implant technique
After a lumpectomy, the implant procedure was done under general anaesthesia, and rigid template system inserted needles. The decision of doing a double plane or a triple plane implant was based on the depth and size of the lumpectomy cavity. The interplane separation was 1 cm and inter-catheter separation was 1 cm.
Contouring
All patients in this study underwent computed tomography simulation, using SiemensTM (Siemens AG, Munich, Germany) computed tomography scanner. A 3 mm slice thickness was used to get 3D image data set. The clinical radiation oncologist delineated contours. The Clinical Target Volume (CTV) was drawn using the surgical clips placed at the time of lumpectomy in medial, lateral, cranial, caudal, superficial, and deep margins. The other delineated contours include contralateral breast, heart, ipsilateral lung, contralateral lung, ribs, and skin. Contours such as ipsilateral breast excluding CTV, Vref, V150%, and V200% (V150%, V200% – volume of the anatomic volume receiving 150%, 200% of the prescribed dose) were created after dose calculation.
Treatment planning The treatment planning system (TPS) used was Brachy Vision version 10.0 software (Varian Medical Systems, Palo Alto, CA, USA) and AcurosTM BV with version 1.4.0 software. The 192Ir Gammamed HDR plus source listed in the library of origin was used. The Grid Based Boltzmann Solver (GBBS) AcurosTM BV uses the Gammamed plus HDR 192Ir source (Varian Medical Systems, Palo Alto, CA,USA).
Initially, all plans were optimized by using AAPM TG-43 formalism so that the prescribed dose encloses CTV with adequate sparing of organs at risk. Geometrical and graphical optimizations were used to get the required CTV coverage and to spare OARs. Some patients required manual optimization as well. AcurosTM BV was used to compare these plans. American Brachytherapy Society, Breast Brachytherapy Task Group recommendations were followed for dosimetric evaluation. The three-dimensional calculation was done, and DVH-based analysis was used for evaluation. Tumour bed boost radiation of 15 Gy in 6 fractions, delivered twice daily with a minimum of 6 hours interval between fractions for all patients in this study.
Paired t-ratio, statistical analysis tool using SPSS 21 software were used to compare doses estimated to CTV, OAR by two algorithms.
Plan evaluation
The prescription dose must encompass the target volume. Breast dose parameters should include Clinical Target Volume (CTV), Clinical Target Volume reference (CTVref), Vref, V150%, and V200%. Ipsilateral breast excluding CTV is taken into account for dose estimation, which include Dmean, V25%, V50%. Heart and ipsilateral lung include Dmean, Dmax, D2cc, D0.1cc, V5%, V10%. Contralateral breast, contralateral lung, skin, and ribs dose parameters include Dmean, Dmax, D2cc, D0.1cc.The indices used in this study [10-14] are as follows:
1. Coverage index (CI): CTVref/CTV volume Ideal (Ideal CI = 1).
2. Dose homogeneity index (DHI): 1– V150%/CTVref (Ideal DHI = 1).
3. Overdose volume index (OI): V200%/CTVref (Ideal OI = 0).
4. External volume index (EI): 1– CTVreference/Vref (Ideal EI = 0).
5. Conformity Index (COIN): C1 × C2
Where C1 = CTVref/CTV Volume and C2 = CTVref/Vref (Ideal COIN = 1).
COIN describes how well the reference dose encompasses the CTV and excludes non-target structures.
Results
The Cumulative Dose Volume Histogram (DVH), different dose-volume indices were derived as shown in Table 2. Differences in the relative response as high as 11.5% were found from the homogeneous setup when the heterogeneous materials were inserted into the experimental phantom. The results derived from the phantom measurements show good agreement with the simulations and TPS calculations, using Acuros™ algorithm [15]. In this study, AcurosTM BV estimated mean CTVref was 4% less and reference dose enclosing CTV was 5% less (p < 0.001) compared to TG-43 dose calculations. Similarly, AcurosTM BV estimated V150% and V200% was 19% and 52% less than that of TG-43 estimates. In spite of higher percentage differences, in terms of absolute value, it is trivial. CI of 0.91 has been achieved for breast implant [3] but in this study using TG-43 formalism 0.93 was achieved. When using AcurosTM BV, 3% decrease was noted, which was due to heterogeneity correction. Mean DHI 0.70 ± 0.10 was 9% greater than TG-43 dose calculation indicates that homogeneity was better. OI and EI estimates were 53% and 19% less than the TG-43 based calculation. In AcurosTM BV calculations, mean COIN was 2% less, and a p-value of 0.03 was observed. Figure 1 shows the isodose distribution for comparison between AcurosTM BV and TG-43 formalism on the same CT slice using 192Ir Gammamed plus source. The DVH shown in Figure 2 depicts the noteworthy difference in DVH at a higher dose. The comparison of indices along with mean values are shown in Figure 3.
The skin, ipsilateral lung, and contralateral breast can develop complications as a result of breast radiotherapy. Dose to these organs must be considered when comparing the profiles of two planning algorithms [16]. A reduction of 39% and 17% is observed in the Dmean and Dmax values of the contralateral breast. Mean D2cc and D0.1cc of the contralateral breast show 20% and 18% reduction in AcurosTM BV estimates compared to that of TG-43. GBBS dose estimates to heart for Dmean and Dmax was 13%, and 5% less than TG-43 based calculation (Figure 4). V5% and V10% showed a decrease of 22% (p = 0.001) and 26% (p = 0.055), respectively. For contralateral lung, the AcurosTM BV estimates for Dmean and Dmax was 22% and 17% less than TG-43 calculations, and D0.1cc and D2cc values were 16% and 19% lesser.
In ipsilateral lung, AcurosTM BV dose estimate for Dmean decreased by 5% (p = 0.007) and by 7% for Dmax. Both D2cc and D0.1cc show 7% reduction in the dose compared to TG-43 calculations. V5% and V10% had a greater reduction of 13% and 25% dose compared to TG-43 estimates. The Box and Whisker plot for Dmean, Dmax, V5% and V10% of the ipsilateral lung are shown in Figure 5. Due to the proximity of ribs to CTV, the contribution of dose to the ribs was included in the comparison. AcurosTM BV Dmean and Dmax values show a reduction of 11% and 5% compared to TG-43 dose values. The skin was demarcated as 5 mm from the surface on the ipsilateral breast area as skin contour. AcurosTM BV dose values show a reduction of 14% in Dmax and 11%in Dmean values computed by TG-43 dose formalism (Figure 6). D2cc and D0.1cc show a dose reduction of 5% compared to conventional TG-43 dose calculations.
Discussion
An ideal brachytherapy treatment planning system should take into consideration the effect of the applicator, tissue inhomogeneity, and patient finite dimensions while computing dose distribution. For high-Z materials utilized in clinical practice for shielding purposes, satisfying accuracy at points just beyond the distal end of bounded inhomogeneities. This accuracy was found to deteriorate, however, with increasing distance due to the inability of the proposed model to account for the effect of laterally scattered photons [17]. The attenuation due to the interposition of a stainless steel catheter is expected to lead to a dose reduction. The influence of applicator material used in the calibration setup was found to be 1.7% for stainless steel dosimetry applicator compared to the plastic 5F applicator [18]. While AcurosTM BV dose calculation engine is not currently used for optimization and dose prescription, it was found to correctly account for heterogeneities and patient specific scatter conditions providing accuracy comparable to Monte Carlo (MC) simulation [19]. The AcurosTM BV used for brachytherapy dose calculation reduces the total error (3%) in determination of the dose to any given point, and allows for further development towards methods for accounting not only for heterogeneities within the patient volume but for the actual shape and size of the patient in the clinical situation [20].
When dose calculated using the two algorithms (AcurosTM BV and TG-43) were compared, the dose to CTV was overestimated by 4% when TG-43 formalism was used. Comparisons of MC and TG-43 results in all models (two voxelized mathematical models resembling an oesophageal and a breast brachytherapy patient, as well as an actual breast brachytherapy patient model) showed significant differences [19]. Doses at V200% and V150% were however higher (52% and 19%). TG-43 dose underestimation is observed within or close to the catheters, as well as in the drive side of the CTV [19].
Similarly, the dose to the contralateral breast, lung, ribs, and skin all showed marked variation. Dose overestimation is more evidently shown where percentage dose differences up to 10% in the lung and 20% in the breast skin are observed between TG-43 and MC results. Ample literature exists that presents data similar to the comparison between MC and TG-43 results performed in this work to quantify the accuracy improvement achieved by AcurosTM BV [19]. The doses as depicted using TG-43 formalism showed difference ranging from 4% to CTV to about 52% to V200%. The dose computations is appreciably improved when using AcurosTM BV, as it takes into consideration the tissue homogeneity as well as attenuation and scatter in metal catheters. Appropriate dose correction can be made to CTV and the other organs of interest in the volume of irradiation. The study indicates that AcurosTM BV dose calculation makes a sizeable difference compared to TG-43 based estimate.
Conclusions
The implementation of AcurosTM BV for 192Ir brachytherapy dosimetry in homogeneous water geometries yields results of comparable accuracy to the golden standard of MC simulation [21]. The dosimetric validation of deterministic radiation transport based TPS in employing shielded applicator, TPS, and MC dose distributions were found in agreement, which is mainly within ± 2% [22]. The expected benefit of Acuros BV in dosimetry planning is in the amount of reduction it will achieve (through the individualization of patient dosimetry) in the variance of the response of clinical trial populations [23]. The dose to CTV was 4% less when AcurosTM BV was used for calculation. The AcurosTM BV takes into consideration absorption through the metal catheter, tissue inhomogeneity, and helps in more accurate dose computation and define actual doses delivered. Similarly, the dose to ribs, contralateral breast are overestimated by TG-43 formalism. While the differences in estimation do not alter the real treatment as the difference was less than 5% of CTV dose. The AcurosTM BV also showed lower doses to organs at risk and these guide us to make minor corrections while reporting.
Disclosure
Authors report no conflict of interest.
References
1. Gage I, Harris JR. Radiation therapy and breast cancer. Curr Opin Oncol 1997; 9: 527-531.
2. Bartelink H, Horiot JC, Poortmans P et al. Recurrence rates after treatment of breast cancer with standard radiotherapy with or without additional radiation. NEJM 2001; 345: 1378-1387.
3. Major T, Fröhlich G, Lövey K et al. Dosimetric experience with accelerated partial breast irradiation using image-guided interstitial brachytherapy. Radiother Oncol 2009; 90: 48-55.
4. Acuros BV. Algorithm Reference Guide, Document ID B504878R01A, Revision A. 2013; 8: 1-36.
5. Mikell JK, Klopp AH, Gonzalez GMN et al. Impact of Heterogeneity based Dose Calculation Using a Deterministic Grid-based Boltzmann Equation Solver for Intracavitary Brachytherapy. Int J Radiat Oncol Biol Phys 2012; 83: 417-422.
6. Rivard MJ, Coursey BM, DeWerd LA et al. Update of AAPM Task Group No. 43 Report: A revised AAPM protocol for brachytherapy dose calculations. Med Phys 2004; 31: 633-674.
7. Rivard MJ, Venselaar JLM, Beaulieu L. The evolution of brachytherapy treatment planning. Med Phys 2009; 36: 2136-2153.
8. Beaulieu L, Carlsson TA, Carrier JF et al. Report of the Task Group 186 on model-based dose calculation methods in brachytherapy beyond the TG-43 formalism: Current status and recommendations for clinical implementation. Med Phys 2012; 39: 6208-6236.
9. Scheuch J, Nesvacil N, Resch A et al. 382 Oral Comparison of DVH-parameters for dose calculation by TG43 and Boltzmann based algorithm Acuros BV(tm). Radiother Oncol 2011; 99: S151 (abstract).
10. Van der Laarse, R. The stepping source dosimetry system as an extension of the Paris system. In: Brachytherapy from radium to optimization. Mould RF, Battermann JJ, Martinez AA, Speiser BL (eds.). Nucletron International B.V., Veenendaal 1994; 319-330.
11. Baltas D, Kolotas C, Geramani K et al. A conformal index (COIN) to evaluate implant quality and dose specification in brachytherapy. Int J Radiat Oncol Biol Phys 1998; 40: 515-524.
12. Saw CB, Suntharalingam N, Wu A. Concept of dose nonuniformity in interstitial brachytherapy. Int J Radiat Oncol Biol Phys 1993; 26: 519-527.
13. Sharma PK, Swamidas J V, Mahantshetty U et al. Dose optimization in gynecological 3D image based interstitial brachytherapy using martinez universal perineal interstitial template (MUPIT) – an institutional experience. J Med Phys 2014; 39: 197-202.
14. Nath R, Anderson LL, Luxton G et al. Dosimetry of interstitial brachytherapy sources: recommendations of the AAPM Radiation Therapy Committee Task Group No. 43. American Association of Physicists in Medicine. Med Phys 1995; 22:
209-234.
15. Moura ES, Micka JA, Hammer CG et al. Development of a phantom to validate high-dose-rate brachytherapy treatment planning systems with heterogeneous algorithms. Med Phys 2015; 42: 1566-1574.
16. Lettmaier S, Kreppner S, Lotter M et al. Radiation exposure of the heart, lung, and skin by radiation therapy for breast cancer: A dosimetric comparison between partial breast irradiation using multicatheter brachytherapy and whole breast teletherapy. Radiother Oncol 2011; 100: 189-194.
17. Anagnostopoulos G, Baltas D, Karaiskos P et al. An analytical dosimetry model as a step towards accounting for inhomogeneities and bounded geometries in 192Ir brachytherapy treatment planning. Phys Med Biol 2003; 48: 1625-1647.
18. Baltas D, Geramani K, Ioannidis GT et al. Comparison of calibration procedures for 192Ir high-dose rate brachytherapy sources. Int J Radiat Oncol Biol Phys 1999; 43: 653-661.
19. Zourari K, Pantelis E, Moutsatsos A et al. Dosimetric accuracy of a deterministic radiation transport based 192Ir brachytherapy treatment planning system. Part III. Comparison to Monte Carlo simulation in voxelized anatomical computational models. Med Phys 2013; 40: 011712.
20. Russell KR, Ahnesjö A. Dose calculation in brachytherapy for a 192Ir source using a primary and scatter dose separation technique. Phys Med Biol 1996; 41: 1007-1024.
21. Zourari K, Pantelis E, Moutsatsos A et al. Dosimetric accuracy of a deterministic radiation transport based 192Ir brachytherapy treatment planning system. Part I: single sources and bounded homogeneous geometries. Med Phys 2010; 37: 649-661.
22. Petrokokkinos L, Zourari K, Pantelis E et al. Dosimetric accuracy of a deterministic radiation transport based 192Ir brachytherapy treatment planning system. Part II: Monte Carlo and experimental verification of a multiple source dwell position plan employing a shielded applicator. Med Phys 2011; 38: 1981-1992.
23. Papagiannis P, Pantelis E, Karaiskos P. Current state of the art brachytherapy treatment planning dosimetry algorithms. Br J Radiol 2014; 87: 20140163.
Copyright: © 2015 Termedia Sp. z o. o. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License ( http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
|
|