PROCEDURE FOR ABSORBED DOSE TO WATER DETERMINATION IN HIGH ENERGY PHOTON AND ELECTRON BEAMS BY FERROUS SULPHATE DOSIMETER AT INMRI-ENEA

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PROCEDURE FOR ABSORBED DOSE TO WATER DETERMINATION IN HIGH ENERGY PHOTON AND ELECTRON BEAMS BY FERROUS SULPHATE DOSIMETER AT INMRI-ENEA M. Pimpinella, A. S. Guerra, S. La Civita and R. F. Laitano Istituto Nazionale di Metrologia delle Radiazioni Ionizzanti ENEA Centro Ricerche Casaccia, Via Anguillarese, 301-00123 Santa Maria di Galeria (Roma), Italy Abstract Since 1998 the INMRI-ENEA has been using ferrous sulphate dosimeters to perform in-situ absorbed-doseto- calibration of radiotherapy clinical beams. The dosimeter consists of a ferrous sulphate solution in sealed glass ampoules of about 1 cm 3 and with 0.5 mm wall thickness. The procedure adopted for the absorbed-dose-to- determination and the recent improvements in the accuracy of the INMRI-ENEA ferrous sulphate dosimetric system are described. The most important improvements regard the standardization of the dosimeter shape and volume and the determination of the correction factor that accounts for the dosimeter non- equivalence (glass wall and ferrous sulphate solution). The correction factors have been determined in photon and electron beams by Monte Carlo simulations using realistic spectra for the incident beams. The calculated values for the correction factor are reported as a function of the parameters TPR 20/10 and R 50 for photon and electron beams, respectively. The new uncertainty budget for absorbed-dose-to- measurement is reported and the major uncertainty components are discussed. At present the INMRI-ENEA ferrous sulphate dosimeter is a reference dosimeter used both for calibration and research activities. Introduction At the Istituto Nazionale di Metrologia delle Radiazioni Ionizzanti of ENEA (INMRI-ENEA) a dosimetric system based on ferrous sulphate solution was in the past years developed for performing in-situ calibration of radiotherapy electron beams characterized by very high dose per pulse (from 10 to 120 mgy per pulse). In these beams the D w measurement by ionization chambers gives rise to some problems as the determination of the ion recombination correction by the traditional two-voltage method does not give coherent results [1]. On the contrary the response of ferrous sulphate dosimeter is independent of the dose per pulse up to value of 1 Gy per pulse [2]. At the INMRI-ENEA the ferrous sulphate dosimeter is presently used for a calibration service in terms of absorbed dose to as well as for research activities. In this work the dosimetric system and the procedure adopted to make the D w measurements traceable to the Italian Primary Standard of D w are described. The procedure used for the D w determination requires correction factors to take into account the non- equivalence of the ferrous sulphate dosimeters (both dosimetric solution and dosimeter pyrex wall). The available literature data for these correction factors refer to dosimeters different from the INMRI-ENEA dosimeter for shape, dimension and wall thickness [3-5]. Then the correction factors have been specifically determined for the INMRI-ENEA dosimeters by Monte Carlo simulation based on the EGSnrc code [6]. Photon beams from Co-60 quality to 24 MV and electron beams with energy from 3 MeV to 20 MeV have been considered in the simulations. Materials and methods The INMRI-ENEA ferrous sulphate dosimeter consists of a sealed glass ampoule filled with a ferrous sulphate aqueous solution. The solution components are: 0.4 mol/l H 2 SO 4, 10-3 mol/l Fe(NH 4 ) 2 (SO 4 ) 2 (Mohr salt) and 10-3 mol/l NaCl. To improve the accuracy and stability of the solution, some H 2 O 2 is used for oxidising the impurities contained in the acid and a small amount of KMnO 4 is then used to neutralise the excess of H 2 O 2 [7]. The ferrous sulphate solution is prepared using Aristar concentrated sulphuric acid and ultra pure provided by a Millipore Milli-Q 185 Plus system. Tap is prepurified by a reverse osmosis treatment, which removes more than 95% of contaminants, and by an electro deionisation treatment, which further reduces the ion content. The prepurified is then exposed to UV light of wavelength 185 nm and 254 nm for a bactericidal action and for oxidising the remaining organic compounds. After a final purification and filter process the system provides with a typical resistivity of about 18 MΩ cm at 25 C and total organic carbon less than 5 ppb. Ferrous sulphate solutions for reference dosimetry are prepared in 1 litre batches and each batch is used for periods not longer than three months.

The dosimeter ampoules have the following dimensions: inner diameter 7.8 mm, height 24 mm (referred to the top surface of the liquid in the ampoule) and pyrex wall thickness 0.5 mm therefore the volume of the dosimetric solution is about 1.1 cm 3. The ampoule shape (fig 1) was specifically designed so to make it easier to fill and to seal the ampoule by flame without damaging the solution. The ampoule shape makes also possible irradiate the dosimeters in vertical beams without any air bubbles in the cylindrical part of the ampoule. Figure 1. Schematic of the pyrex ampoule used for ferrous sulphate dosimeters at INMRI-ENEA. The absorbance readings of ferrous sulphate solution are carried out by a Varian Cary 400 UV-VIS spectrophotometer. This instrument is provided with a Peltier thermostatic system allowing to perform absorbance measurements with the sample temperature stable within ± 0.1 C. Absorbance readings are made at a wavelength of 304 nm with a bandwidth of 1 nm, using quartz micro cells having a pathlength of 10 mm, and an optical window 4 mm wide and 2 mm high. For each dosimeter two readings are performed using a couple of micro cells. After each absorbance reading the cells are cleaned with ultra-pure and dried in a centrifuge. The traceability of the D w measurements is assured by calibrating each new batch of ferrous sulphate solution against the INMRI-ENEA absorbed-dose-to- primary standard for the Co-60 gamma radiation [8]. Individually filled ampoules are irradiated at known D w values in the Co-60 reference beam at a depth in of 5 g cm -2. The calibration coefficient, N w, is determined as N w = D w / ΔA (1) where ΔA is the difference in absorbance between the irradiated and unirradiated ferrous sulphate solution. The absorbance readings are corrected for the influence of both the readout temperature, T R, and the irradiation temperature, T i [2, 9]. The reference temperature is 25 C. To determine N w and to check the linearity of the dosimeter response different values of D w in the range from 40 Gy to 100 Gy are delivered to the dosimeters. The measured ΔA values are then fitted against D w values to a straight line whose angular coefficient gives the N w value. The absorbed dose to in high-energy photon and electron beams is determined as [D w ] Q = [ΔA] Q N w F Q (2) where the subscript Q refers to the beam quality and F Q is a correction factor taking into account the energy dependence of the calibration coefficient.

As it is known, the absorbed dose to as determined by ferrous sulphate dosimeter can be also expressed as D w ΔA = PFeSO 4Pwall (3) ρlεg where ρ is the density of the ferrous sulphate solution (1.024 g cm -3 ), L is the pathlength over which the optical density is read, ε is the molar extinction coefficient, G is the radiation yield of ferric ions, P FeSO4 is a factor to convert the absorbed dose to ferrous sulphate solution in absorbed dose to and P wall is a correction factor taking into account the perturbation effects due to the dosimeter wall. Comparing equation (1) and (3) the calibration coefficient results to be N w [ PFeSO4 ] [ ] Co 60 Pwall ρlε[ G] Co 60 = Co 60 (4) where the subscript Co-60 refers to the quality of the beam used to determine N w. From equations (2), (3) and (4) the F Q factor results F Q [ PFeSO4 ] [ P ] Q FeSO4 Co 60 [ Pwall ] [ P ] Q wall Co 60 [ P] Q [ P] Co 60 = = (5) where the symbol P denotes the total correction factor at a given beam quality. In obtaining equation (5) the G value has been considered independent of the beam quality. The G variation of about 1% reported in the Literature for the energy range considered in this work is taken into account assigning an uncertainty of 0.5% to the assumption of G energy independence [10]. The P FeSO4 and P wall factors were determined by Monte Carlo simulation as [4] P FeSO4 = D w/ D FeSO 4 (6) P wall = D FeSO 4 / D FeSO 4, pyrex (7) where D FeSO4, pyrex is the absorbed dose in the ferrous sulphate solution inside the dosimeter with pyrex wall, D FeSO4 is the absorbed dose in the ferrous sulphate solution inside the dosimeter with wall made of and beam direction beam direction beam direction D w wall D FeSO4 pyrex wall D FeSO4,pyrex Figure 2. Schematic of the simulation geometry for P FeSO4 and P wall calculation according to the equations (6) and (7).

D w is the absorbed dose to in the volume replacing the ferrous sulphate solution in absence of the dosimeter (Figure 2). The quantities D w, D FeSO4 and D FeSO4, pyrex were obtained by scoring the energy deposited by the radiation beam in the region of interest (i.e. the volume occupied by the ferrous sulphate solution). The Monte Carlo calculation was performed by the EGSnrc/DOSRZnrc code which was modified to allow the scoring of the deposited energy in a cylindrical region placed in a cubic phantom at various depths and having its axis parallel to the phantom surface (Figure 3). This geometry corresponds to the dosimeter irradiation conditions generally adopted in high-energy photon and electron beams. The calculation was carried out for electron beams with quality index R 50 in the range from 1.5 g cm -2 to 8.5 g cm -2, for photon beams with quality index TPR 20,10 in the range from 0.6 to 0.8 and for Co-60 gamma beam. The energy of the incident particles was sampled from the spectral distributions describing actual beams. As shown in table 1 electron beams produced by various types of accelerators have been considered. The energy spectra were taken from the Literature [11] or determined by simulating the actual beams with BEAMnrc code [12]. In particular the electron beams produced by the Hitesys NOVAC7 accelerator (an accelerator especially designed for intra-operative radiation treatment, IORT) were simulated. For comparison the correction factors were also determined for monoenergetic electrons with energy from 3 MeV to 24 MeV. y beam direction phantom z Figure 3. Schematic drawing (not to scale) of the dosimeter irradiation conditions considered in the Monte Carlo simulations. The energy spectra for photon beams were taken from the Literature [13]. For the Co-60 quality the energy spectrum relevant to the INMRI-ENEA reference beam was used. When available (i.e. for the NOVAC7 beams) the phase-space files describing the beam characteristics at phantom surface were used as input source for the modified EGSnrc/DOSRZnrc code. Otherwise parallel beams with direction perpendicular to the phantom surface and field size of 100 cm 2 were used. For photon beams the depth in of the scoring region was 5 cm for the beams with TPR 20/10 value less than 0.7 and 10 cm in the other cases. For electron beams the center of the scoring region was placed at the depth of the maximum dose, d max. For each beam, the value of d max was obtained from the simulated depth dose curve in.

In the simulations electrons were followed down to 10 kev and photons down to 1 kev (ECUT = 0.521 MeV and PCUT = 0.001 MeV). Table 1. Characteristics of electron beams considered for the Monte Carlo calculation of correction factors accounting for non- equivalence of the INMRI-ENEA ferrous sulphate dosimeters. The values of the quality index, R 50, and the depth of the maximum dose, d max, were determined by the simulated depth dose curves in. Accelerator type Nominal energy MeV R 50 g cm -2 d max cm 9 2.85 1.28 7 2.50 1.08 5 2.12 0.88 3 1.64 0.73 Varian Clinac 2100C Philips SL75 20 Therac AECL 20 18 7.97 4.10 15 6.50 3.35 12 5.18 3.05 9 4.02 2.05 6 2.66 1.45 17 6.96 4.13 10 4.12 2.20 5 2.08 1.15 17 6.85 4.30 6 2.18 1.35 Results In figure 4 the P Q values determined in electron beams at the depth in of d max are reported as a function of R 50. The uncertainty bar reported in the figure (about 0.2%) is the statistical uncertainty of the Monte Carlo calculation. The results in figure 4 show that for R 50 greater than about 2.4 g cm -2 the factor P Q is weakly dependent on the electron energy distribution. The P Q value obtained using the realistic spectral distributions ranges from 1.000 to 1.006 and the differences between P Q values obtained for beams with similar R 50 are less than 0.2%. Such differences are up to 0.5% when the results obtained for monoenergetic electrons are also considered. For R 50 values less than 2.4 g cm -2 the correction factor tends rapidly to increase with decreasing R 50 and differences up to about 1% were found out between P Q values for electron beams with nearly the same R 50 value. In the range of R 50 considered in this work the P FeSO4 factor resulted approximately independent of the electron energy. The average value of P FeSO4 is 1.0044 ± 0.0010 therefore the variation of P Q with electron energy is essentially due to the P wall factor. The dependence of the P Q value on the angular distribution of the incident particles and on the depth of measurement in is still under investigation. On the basis of preliminary results the effect of the angular distribution of the electron beam on P Q value seems to be of a few tenths of per cent. Furthermore, the variation of P Q value is estimated to be about 0.3% per mm in the region around d max where the percentage depth dose is higher than 98%. In figure 5 the P FeSO 4, P wall and P Q factors are reported for photon beams as a function of TPR 20/10. The P FeSO 4 is approximately constant in photon beams too. Its average value is 1.0027 ± 0.0011. The correction accounting for the perturbation effects due to the pyrex wall was found to range from 0.994 to 0.989. The P Q value decreases from 0.997 in the Co-60 beam to 0.991 in photon beams with TPR 20,10 of about 0.8.

1.04 1.03 1.02 monoenergetic electrons Hitesys NOVAC7 Varian Clinac 2100C Philips SL75 20 Therac AECL 20 PQ 1.01 1.00 0.99 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 R 50 (g cm -2 ) Figure 4. Correction factors, P Q, taking into account the non- equivalence of the INMRI-ENEA ferrous sulphate dosimeters in electron beams as a function of the R 50 parameter. The factors were determined by Monte Carlo calculation for electron beams produced by accelerators of different type. The correction factors were calculated at the depth of maximum dose in by sampling the energy for the incident electrons from the realistic spectral distributions. For comparison, the calculation was also carried out for monoenergetic electrons with energy in the range from 3 MeV to 24 MeV. The linearity of the ferrous sulphate dosimeter response has been always verified. The correlation coefficient R 2 resulted equal to unit within 10-4 and the intercept of the linear fit resulted equal to zero within the uncertainty. In re-determining within the period of three months the calibration coefficient for the same batch of solution, a reproducibility of about 0.2% (1σ) was obtained. The calibration coefficient, as obtained at INMRI-ENEA in the period from 1998 to 2006, has a mean value of 278.7 Gy/ODU with a relative standard deviation of 0.7%. This value is consistent with the N w value (276.7 Gy/ODU) obtained by equation (4) using ε G = 352 10-6 m 2 kg -1 Gy -1 (ICRU 64, 2001) and the value of P Co-60 determined in this work (0.997). 1.020 correction factor 1.010 1.000 0.990 0.980 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 TPR 20,10 Figure 5. Correction factors P FeSO 4 ( ), P wall ( ) and P Q ( ) determined by Monte Carlo calculation for the INMRI-ENEA ferrous sulphate dosimeters in photon beams. The factors refer to the reference depth in of 5 cm for the beams with TPR 20/10 value less than 0.7 and 10 cm for the other beams.

The uncertainty budget on D w determination by INMRI-ENEA ferrous sulphate dosimeters in clinical beams is reported in table 2. The table refers to the D w determination at the reference depth according to the current dosimetry protocols. The type A uncertainty component due to ΔA measurements refers to the mean value obtained by three dosimeters irradiated at the same dose. The type B uncertainty on F Q factor (0.5 %) takes into account the uncertainty on modeling the experimental conditions in the Monte Carlo simulation. The value 0.5 % was obtained combining the following components: 0.3 % due to the depth of measurement (the typical agreement between simulated and measured percentage depth dose curves is ± 1 mm), 0.3 % due to the beam spectral distribution and 0.2 % due to the beam angular distribution. The combined standard uncertainty on D w is 1.1%. For the calibration service of radiotherapy beams a set of ferrous sulphate dosimeters is mailed to the radiotherapy centre where the dosimeters are irradiated in a phantom. The INMRI-ENEA after the dosimeter readings returns to the customer a certificate reporting the absorbed dose to delivered to each dosimeter. The combined standard uncertainty on the certified D w values is 1.6% as each D w value refers to a measurement performed by a single dosimeter. Table 2. Combined relative standard uncertainty on D w value obtained by the INMRI-ENEA ferrous sulphate dosimeters in high energy photon and electron beams. Relative uncertainty Uncertainty source Type A (1σ) % Type B (1σ) % N w determination 0. 7 G energy independence Stability of ferrous sulphate solution 0.5 0.2 ΔA measurement (*) 0. 2 0.3 T i correction 0.1 T R correction 0.2 FQ factor 0.2 0.5 Quadratic sum 0. 32 1.06 Combined standard uncertainty 1.1 (*) Typical experimental standard deviation of ΔA obtained usi n g three dosimeters irra di ated at the same dose. Conclusions The INMRI-ENEA ferrous sulphate dosimetric system is currently used for calibrations of clinical beams in terms of D w with particular regard to the electron beams with high dose per pulse. The procedure to perform such calibrations requires the knowledge of the correction factors accounting for the dosimeter non- equivalence (both dosimetric solution and pyrex wall). These correction factors were calculated by Monte Carlo simulations based on the EGSnrc code using realistic energy spectra. In particular the correction factors have been determined at d max for several electron beams produced by different types of accelerators and at the reference depth of 5 cm or 10 cm for photon beams with TPR 20/10 from 0.578 to 0.8. The combined standard uncertainty on D w measurements is 1.1%. The calibration service for electron beams with high dose per pulse is particularly requested for intraoperative radiotherapy accelerators in which ion recombination corrections cause problems for ionization chambers due to the high dose per pulse (above 10 mgy per pulse). Since 1998 more than 20 IORT accelerators have been calibrated by the ferrous sulphate in-situ dosimetry. The ferrous sulphate dosimetry is currently used at INMRI-ENEA also for research activity as a method independent of the dose per pulse.

References [1] Laitano R F, Guerra A S, Pimpinella M, Caporali C and Petrucci A 2006 Charge collection efficiency in ionization chambers exposed to electron beams with high dose per pulse Phys. Med. Biol. 51 6419-36 [2] ICRU (International Commission on Radiation Units and Measurements) 1982 The Dosimetry of Pulsed Radiation ICRU Report 34 (Bethesda, MD: ICRU) [3] Ma C-M, Rogers D W O, Shortt K R, Ross C K, Nahum A E and Bielajew A F 1993 Wall correction and absorbed-dose conversion factors for Fricke dosimetry: Monte Carlo calculations and measurements Med. Phys. 20 283-92 [4] Ma C-M and Nahum A E 1993 Dose conversion and wall correction factors for Fricke dosimetry in highenergy photon beams: analytical model and Monte Carlo calculations Phys. Med. Biol. 38 93-114 [5] Ma C-M and Nahum A E 1993 Correction factors for Fricke dosimetry in high-energy electron beams Phys. Med. Biol. 38 423-38 [6] Kawrakow I and Rogers D W O 2003 The EGSnrc Code System: Monte Carlo Simulation of Electron and Photon Transport National Research Council of Canada Report PIRS 701 (Ottawa: NRC) [7] Davies J V and Law J 1963 Practical Aspects of Ferrous Sulphate Dosimetry Phys. Med. Biol. 8 91-96 [8] Guerra A S, Laitano R F, Pimpinella M 1996 Characteristics of the absorbed dose to standard at ENEA Phys. Med. Biol. 41 657-74 [9] Shortt K R 1989 The temperature dependence of G(Fe 3+ ) for the Fricke dosemeter Phys. Med. Biol. 1923 6 [10] ICRU (International Commission on Radiation Units and Measurements) 2001 Dosimetry of High- Energy Photon Beams based on Standards of Absorbed Dose to Water ICRU Report 64 (Bethesda, MD: ICRU) [11] Ding G X and Rogers D W O 1995 Energy spectra, angular spread and dose distributions of electron beams from various accelerators used in radiotherapy National Research Council of Canada Report PIRS- 0439 (Ottawa: NRC) [12] Rogers D W O, Walters B and Kawrakow I 2005 BEAMnrc Users Manual National Research Council of Canada Report PIRS 0509a (Ottawa: NRC) [13] Mohan R, Chui C and Lidofsky L 1985 Energy and angular distributions of photons from medical linear accelerators Med. Phys. 12 3-10 34