1/2012
vol. 4
Physics Contributions I125 seed calibration using the SeedSelectron® afterloader: a practical solution to fulfill AAPMESTRO recommendations
Jose PerezCalatayud , Jose Richart , Damián Guirado , Jordi PérezGarcía , Silvia Rodríguez , Manuel Santos , Facundo Ballester
J Contemp Brachyther 2012; 4, 1: 2128
Online publish date: 2012/03/30
Purpose
SeedSelectron® v1.26b (Nucletron BV, Veenedaal, The Netherlands) is an afterloader system used in prostate interstitial permanent brachytherapy with 125I selectSeedTM seeds. This system has been described and technically evaluated by Rivard et al. [1]. The system is composed of an array of diodes to assay all implanted seeds. Because seeds are on presterilized cartridges, only one or two seeds can be extracted during the surgical procedure and then independently assayed by physicist with a calibrated well chamber to check the manufacturer airkerma strength (SK) and to calibrate the diode array. This is done during the intraoperative procedure once the interactive planning has been completed, assuming the manufacturer airkerma strength value.
The quality assurance (QA) procedure of the American Association of Physicist in Medicine (AAPM) and European Society for Radiotherapy and Oncology (ESTRO) recommendations [2,3] state that:
1) For each multisource implant with a large amount of loose seeds, AAPM recommends that a random sample containing at least 10% of the seeds should be assayed. For seeds purchased in a sterile configuration, AAPM recommends purchasing and assay a number of nonsterile loose seeds equal to 5% of the total number of seeds or five seeds, whichever is fewer.
2) AAPM further recommends that (a) if the mean value of users independently measured seed strength for the assay batch disagrees with the manufacturer’s data by more than 3%, the users need to investigate the origin of the disagreement; (b) an unsolved disagreement exceeding 5% warrant reporting to the manufacturer; (c) the measured strength of each individual seed should be within 5% of the measured mean for the batch.
In order to fulfil the AAPMESTRO recommendations there are some critical points in the current seedSelectron® afterloader procedure:
1) Practical difficulties to assay the required seed quantity (510%). Since seeds are included in a sterilized cartridge, it is not possible to fulfil the AAPMESTRO recommendations about the size of the sample of seed assayed and the manufacturer certificate airkerma strength value comparison.
2) The low accuracy of the diode system.
3) The fact that planning is done assuming the manufacturer airkerma strength without having a clear option of updating this value in the Treatment Planning System (TPS).
The manufacturer claims that with the SeedSelectron® diode array the system fulfils the AAPMESTRO recommendations. This is in contradiction with the large diode uncertainty obtained in clinical practice. Moreover, there is a warning in the SeedSelectron® software about the diode readings indicating that they are just “indicative”. According to the manufacturer Instruction Manual1, just one seed is required from the sterilized cartridge to be assayed with the calibrated external well ionization chamber and to calibrate the array of diodes. Typically, the medical physicist compares the airkerma strength she/he measures with that given in the manufacturer certificate, facing the problem that it is not clear what action level should be applied in the eventuality that both values are significantly different.
Carmona et al. [4] used the typical statistical methods of quality control processes to analyze the airkerma strength stability, provided in the certificates of Rapid Strand from Amersham (Amersham, UK) for different shipments of seeds. They measured individually the airkerma strength of ten seeds (one rapid strand) for five shipments, i.e., a total of fifty seeds. They concluded that the seeds can be considered homogeneous and their airkerma strength can be compared with that specified by the manufacturer. The systematic deviation between their measurements and the values provided by the supplier was 1.3%.
Ramos and Martínez [5] proposed a new sampling method in which the number of seeds to be measured (n) in relation to the total sample size (N), will be set beforehand according to an a priori statistical level of uncertainty. Defining a tolerable level of uncertainty (1) at a level of statistical confidence (1), n is deduced using as variance of the sample the one of the historical records. The results are based on the assumption that the airkerma strength follows a normal distribution. To demonstrate this, the airkerma strength of each seed was corrected to ensure that the average airkerma strength of its sample remained the same. In this process 2030 results (125I 6711 seed model supplied by Amersham) were collected and analyzed using a normal plot.
Rodríguez et al. [6] studied the airkerma strength distribution of sterile 125I seeds provided by IBtBebig (IBtBebig GmbH, Germany) and they deduced an adequate size of control sample. They measured 200 seeds from 56 batches and they found that the airkerma strength distribution can be described by a rectangular distribution convolved with a Gaussian function. The width of the rectangular distribution is related to the width of the “activity classes” in which IBtBebig classifies its seeds and the Gaussian function takes into account the uncertainties in the measurement of the airkerma strength. The measured distribution complies with the AAPMESTRO tolerance of the maximum deviation of the airkerma strength of individual seed (5%). They concluded that with samples of 3 seeds they can assert (with a confidence level of 95%) that the batch belongs to the specified class if the difference between the sample average of the airkerma strength and the reference value for the class is less than 2.5%.
Santos et al. [7] measured the airkerma strength of 364 selectSeedTM from 49 implants and studied the deviations between the measured airkerma strength of each seed and the value certified by the supplier. The differences between the mean value of the airkerma strength they measured and the certified value for the 49 shipments was 0.51% ± 2.4% (k = 1). For the N = 364 seeds the difference is 0.61% ± 3.1% (k = 1).
Yue et al. [8] proposed and used a method to quantify the assay process of seeds. The results showed that the quality of a seed assay process was dependent on the measured seed strength distribution and the number of assayed seed (n). Its dependence on the total number of seeds (N) becomes statistically insignificant if N is large enough. The assay process can be determined by the obtained assay information, instead of predetermined percentage of total seeds to be used. It was also found that the use of the manufacturer stated SK value may possibly lead to larger uncertainty in strength accuracy, unless the strength stated by the manufacturer is the measured mean value of all ordered seeds.
The purpose of the present work is to describe a practical solution to be adopted in clinical routine by the seedSelectron® users to fulfil the AAPMESTRO recommendations. To this end, we have developed an insert (named as Nucletron insert in this study) and a procedure in collaboration with Nucletron which provides a separate non sterile container with n = 10 selectSeedTM seeds belonging to the same batch and class as the rest of the seeds for the implant. So, the AAPMESTRO recommendation that “a random sample containing at least 10% of the seeds should be calibrated”, is fulfilled for a typical shipment of N = 100 seeds. Measuring the n = 10 seeds at once we deduced the average airkerma strength of the seeds in a fast and simple way using the Nucletron insert developed in the present work. An uncertainty analysis of the process was done. In addition, a statistical analysis of the airkerma strength values assayed by the authors in the clinic is included.
Material and methods
Afterloader and current procedure
The Fully Integrated Realtime Seed Treatment (FIRST™) system by Nucletron has been available since 2001and being currently used in a significant number of Hospitals, mainly in Europe, as the unique automatic afterloading system for prostate seeds.
This system has been intensely described by Rivard et al. [1]. In brief, this system is an interactive intraoperative treatment planning and delivery system for prostate seed brachytherapy. It is composed by a TPS (SPOTPRO) and the afterloader named SeedSelectron®. Once the interactive planning is finalized, the plan is exported to the SeedSelectron®. The system automatically builds the trains with the planned seeds/spacers combination from sterilized seeds (125I selectSeedTM) and spacer cartridges.
The SeedSelectron® incorporates a sixteen diode array to verify the build sequence and assay the individual seed strength.
According to the manufacturer, the diodes can be calibrated using one seed of the set which SK is measured with a well chamber traceable to an Accredited Dosimetry Calibration Laboratory (ADCL). This calibration factor, introduced by the user, is translated to the sixteen diode array. The array confirms the build sequence of seeds and spacers as the unit assembles elements to be loaded into a needle and measures the seed strength of all seeds. Diode response tolerances are set to different default colours/levels depending on the difference between the SK of the seed, used to calibrate the diodes and diodemeasured SK of a seed: green if difference is within ± 15%, yellow if 15% < difference < 25%, and red if difference > 25%. The default levels can be changed with the aid of the manufacturer.
If the difference > 50% of the expected reading SK, the system should assign a spacer to that position.
Proposed method
The new procedure proposed in this study to fulfil the AAPMESTRO recommendations is based on the following elements:
1) A wellionization chamber (SourceCheck PTW, Germany) provided with an insert (PTW insert); the chamber is 220 mm long and provides a uniform sensitive area (sweet spot) of approximately 120 mm^{2}.
2) A separate non sterile container with n = 10 selectSeedTM from the same batch and class as the seeds for the implant.
3) An insert (the Nucletron insert, developed in this study) with a slot is used to accommodate the n = 10 separate seeds on the SourceCheck and to perform a single measurement deducing the averaged airkerma strength per seed, SKŻŻ.
An agreement has been signed with Nucletron to obtain a separate non sterile container with n = 10 seeds for all users under request. Nucletron will certify that these 10 seeds come from the same batch and class that the seeds included in the cartridge for the implant. These n = 10 separate seeds set could be measured even several days prior to the implant.
In order to optimize the measuring procedure of the n = 10 seeds, the Nucletron insert (Fig. 1A) is fitted externally to the wall chamber plate, similarly to the already existing holders to assay strands on this chamber2. A slot in the Nucletron insert allows to allocate the 10 seeds at the same time.
Using the PTW insert and the calibration factor of the SourceCheck chamber fPTW, the user calculates the airkerma strength of a seed by SK,i = fPTW RPTW (p,T), where RPTW is the reading and (p,T) accounts for climatic conditions.
With the Nucletron insert mounted (see Fig. 1B) and the n = 10 seeds distributed into the slot, we performed a single measurement deducing the average reading per seed, RNucletron of the set. Consequently, the average airkerma strength per seed of the set is estimated by:
SK = fPTW (RNucletron fPTW ) (p,T) (1)
Nucletron
The relation between the readings with the PTW insert and the Nucletron insert, fPTWNucletron is deduced measuring several times a selectSeedTM with both inserts and taken the ratio of the averaged values:
fPTW = R PTW/R
Nucletron Nucletron
Validation of the proposed method
A NIST standard seed of SK = 1.549 U (1 U = 1 Gyh1m^{2}) at the date of our measurements, with uncertainty of 1.68% (coverage factor k = 2), was used to calibrate (fPTW) the SourceCheck chamber with the PTW insert provided with the chamber.
The SourceCheck chamber profile response was obtained locating the calibrated seed at 1 cm intervals along the slot in positions P +5, +4, …, +1, 0, 1, …, –5, as indicated in Fig. 1A. The insert was mounted as indicated in Figure 1B. The sweetspot length of the chamber was compared with the manufacturer specifications.
In order to obtain fPTWNucletron, the calibrated selectSeedTM was located in the centre (P = 0) of the slot of the Nucletron insert (with the PTW insert removed).
A study was done to check that our method with the Nucletron insert provides compatible results with the individual measurement of each one of the n = 10 seeds, using the PTW insert (Sk,iŻŻŻŻ = ∑10i = 1 Sk,i) or calculating its averaged value from a single measurement with the Nucletron insert (SKŻŻ).
Ten nonsterile seeds accompanying the seeds for the implant of 56 patients were measured using the Nucletron insert and its SKŻŻ value compared with the manufacturer SCiK in the certificate and with the airkerma strength of a single seed extracted and measured during the implant (SK,implant). The distribution of (SK,implant) was fitted to the model of Rodríguez et al. [6] (see appendix).
Results
Using the NIST calibrated selectSeed with the PTW insert, the calibration factor of the SourceCheck resulted fPTW = 1.1112 U__pA ± 0.84% (k = 1). Uncertainty combines the Type A uncertainty (0.025%) of ten measurements (RŻŻPŻŻTŻŻWŻ) and the SK uncertainty of the calibrated seed.
By means of ten measurements with the NIST calibrated selectSeedTM located at P = 0 into the slot of the Nucletron insert (and removing the PTW insert), RŻŻŻNŻuŻŻcŻlŻeŻtŻrŻoŻn with 0.053% (k = 1) Type A uncertainty, the relation between both readings was deduced: fPTWNucletron = 1.8789 ± 0.060% (k = 1) (see below for a correction to this value).
Chamber profile response
SourceCheck Chamber profile response with the Nucletron insert was obtained with the calibrated seed and it is shown in Fig. 2.
The largest difference in chamber profile response with respect to the value at P = 0 is +3% for P = –5. Despite the small profile asymmetry, the chamber profile response resulted within ± 1.5% of the mean response for a length of 10 cm in agreement with the specifications of PTW. This profile should be verified by each SourceCheck user.
In order to check whether the use of fPTWNucletron (deduced for P = 0 for all seed positions) in the slot of the Nucletron insert without taken into account the response of chamber in Fig. 2 was accurate enough, we compared for an implant the average (SKŻŻ, i Żperforming individual measurement of the n = 10 separate seeds with the PTW insert, with the SKŻŻ value obtained with the Nucletron insert using the method proposed. We attained the following results:
(SKŻŻ, i Ż = 0.424 U ± 1.0% (k = 1), (SKŻŻ = 0.429 U ± 0.87% (k = 1). As expected, taking into account data in Fig. 2, SKŻŻ was higher than SKŻŻ, i Ż, but the difference was only 1.1%. To obtain a better agreement fPTWNucletron, should be reduced by 1.1% to take into account the response of the chamber in Fig. 2 and considering that the user distributes the 10 seeds randomly along the slot (avoiding superposition between them).
The final value was: fPTWNucletron = 1.8582 ± 0.058% (k = 1).
Finally, to evaluate the influence of the 10 seed distribution within the slot, we repeated the measurement of the 10 seeds with the Nucletron insert changing the seeds distribution along the slot and we obtained that the final uncertainty was: (SKŻŻ = 0.429 U ± 0.88% (k = 1).
Consequently, the proposed simplified method using the SKŻŻ attained with the Nucletron insert is compatible within uncertainties with the SKŻŻ, i Ż obtained by individual measurement of each of the 10 seeds using the PTW insert. The uncertainty associated with a single measurement of the Nucletron insert was: Nucletron = 0.88% (k = 1).
Results of 56 patients
In the present study, we have measured SKŻŻ for 56 implants and SK, implant for 48 implants. Figure 3 shows the manufacturer SK with SK, implant and with SKŻŻ. The advantage of using the Nucletron insert reflects on the fact that only in two implants SKŻŻ falls (barely) outside the [–4%,4%] range of the class, while SK,implant was outside the range in 22 implants.
We demonstrate in the appendix by analysing a large number of SK measurements from Santos et al. [7] that the final distribution of SK corresponding to a particular class is given by the Rodríguez et al. model [6] in equation (A.2).
In Fig. 4A, we present the experimental distribution of (SK, implant – SK Ci)/SK Ci and their fit to equation (A.2). As expected,√(￣σ￣Μ￣￣)￣2￣￣+￣(σ￣￣U￣)￣2 = √(￣1￣.5￣)￣2￣+￣￣￣(1￣.￣0￣)￣2 = 1.8% ± 0.7%. For the fitted distribution ∑ = 2.9% and considering only u it is ∑ = 2.8% (see appendix). The conclusion is that there is a systematic deviation of = –2.1% ± 0.7% between the user and the manufacturer SK values.
Figure 4B shows the distribution of the SKŻŻ measuring 10 seeds with the insert for 48 implants. In this case, we assumed that the distribution of the means is a normal distribution (see appendix). In this case 10 = 1.7% ± 0.7% is consistent within uncertainties with the expected value of
∑
√(–––– ––––– )2 + (Nucletron)2 = 1.3%. The systematic deviation be
√10ŻŻŻ
tween user and the manufacturer indicated by SKŻŻ data is 10 = –1.1% ± 0.5%, lower than the value indicated by the SK,implant data.
Discussion
As already mentioned, the current diode array system of the SeedSelectron® is not sufficiently accurate. This conclusion was also stated by Rivard et al. [1] which concluded that the generous settings for seed SK measurement tolerances are due to the deficiencies of the system in reporting the correct SK of the seed, even calibrating the diode system for every new seed batch, which generally means a new calibration for each patient.
We adjusted the tolerance values in the system to be closer to 35% values, currently recommended by AAPMESTRO with bad results. As commented previously, into the SeedSelectron® application it is possible to access the diode readings once the plan has been executed and the warning legend indicates that “values of this table are only indicatives”. With the simple method proposed in this study, users can fulfill efficiently the AAPMESTRO recommendations avoiding current situations derived from just one seed available for measurement. In our experience, we are faced with SK deviation for individual seeds up to 7.8%. However, in most cases, SK is in agreement with the manufacturer value. Deviations are due to the combination of the dispersion within the class and uncertainty in the measurement. The role of the measurement of one seed of the sterilized cartridge on the operation room is still required. This is because if it is not done, the afterloader does not check the train composition regarding seeds/spacers. The method proposed in this study will be valid even if a more accurate array on this afterloader is implemented in the future [9], because it allows to evaluate the SK and compare it to the manufacturer value previously to a surgical procedure.
Conclusions
We developed a practical solution to be adopted in clinical routine by the SeedSelectron® users to fulfil the AAPMESTRO recommendations. The new Nucletron insert and the procedure proposed, allows to evaluate the seeds SK prior to the intraoperative procedure. This will avoid the diode limitations of the SeedSelectron® and the dispersion/uncertainty involved in single seed assay. The Nucletron insert allows to perform efficiently the mean SK of the nonsterile 10 seeds set. This procedure solves efficiently the fulfilment of the AAPMESTRO recommendations and it is available to all SeedSelectron® users under request to Nucletron.
Appendix A
User SK distribution of seeds of the same class
According to Yue et al. [8], the recommendations concerning the calibration of seeds employed in brachytherapy can be established from the SK distribution produced by a particular manufacturer, independently of the number of seeds included in certain shipping. Despite this, the AAPMESTRO recommendations are still dedicated to the classic approaches in which one must test a given number of seeds depending on the total number of seeds that are used in a particular brachytherapy procedure.
For the present case, the distribution of SK provided by the manufacturer can be established in an adequate way and afterwards it is possible to give specific comments about the verification process.
The manufacturer defines classes Ci to classify seeds in such a way that if the central value of the class i is SKCi it covers the range of SKCi ± 4% SKCi (i.e. each class cover an 8% interval decay, the decay of 125I in a week). The manufacturer classifies the selectSeedTM seeds in 16 classes. After one week, the seeds belonging to a class go through the next one. NucletronIsotron provides a certificate in which the average SK of the “class” belongs to the seeds contained in the cartridge ordered for a certain date.
Due to the neutron activation process of the seeds and their classification in classes, it can be assumed that the distribution of the seed strengths inside a class is uniform. This can be justified assuming that the SK distribution of a large amount of seeds should follow a normal distribution. If we classified them in classes (say 16) it is reasonable to assume that in a class the distribution is uniform (i.e., we approximate the distribution by a histogram with bins width equal to the class range).
Let us assume the following typical scenario: the manufacturer (Isotron) measures a selectSeedTM once and obtain SKm and classifies it in the class Ci if the measurement results inside the range of SKCi ± 4% SKCi. If the manufacturer measurement a standard deviation M, performing only one measurement, the result should be expressed as SKm ± M (k = 1). The manufacturer delivers N = 100 seeds of the same batch and class to a hospital and in a certificate it gives as mean value of the seeds SKCi ± 4% SKCi.
The user has an ionization chamber calibrated by a primary or secondary laboratory with standard deviation U. With only one measurement of a seed with this device, the result should be expressed as SKU ± U (k = 1).
Following the seed manufacturing process, including all uncertainties associated to the way how a certain seed reaches a particular SK, it could be assumed that the SK distribution of a given batch is Gaussianlike. This had been checked in some cases [5]. The manufacturer does not give information about this issue and the indication of only one interval of activities determined by the 125I decay forces us to assume a uniform distribution of SK for the set of seeds forming a given class. In addition and due to the uncertainty of the measuring device used by the manufacturer to classify the seeds and the measurement done by the user, the final distribution of SK corresponding to a particular class will be the result of the convolution of the distribution corresponding to the classification criteria (uniform) and the uncertainty distribution associated to the measuring device of the manufacturer and the user (Gaussian) [6]. This can be expressed mathematically as:
p (SK) = ∫+∞–∞ CSmaxSmin (t) N (SK – t, ) dt (A.1)
where N (µ, ) is the normal distribution with mean µ and standard deviation and CSmaxSmin (SK) is the uniform distribution in the range Smax – Smin = Constant, defining the class (8%). As the measurements are performed by the manufacturer and the user, the standard deviation appearing in equation (A.1) would be that resulting from the quadratic combination of the instrumental uncertainties of the manufacturer and the user 2 = (U)2 +(M)2. Integrating equation (A.1):
SK – Smin SK – Smax
Erf [ √Ż2 ] – Erf [ √Ż2 ] (A.2)
p (SK) =
2 (Smax – Smin)
2
where Erf (x) = ∫ x0 et2 dt is the error function.
√Ż
Santos et al. [7] measured the relative difference between the SK indicated by the manufacturer and their measurements for 364 remaining selectSeedTM from a total of 49 implants, i.e., (SK,i – SKCi)/SKCi. In Fig. A.1, the fit of the parameters of equation (A.2) (Smin and ) to these results is shown. Smax – Smin is fixed to be 8% as indicated by the manufacturer. The systematic deviation between the manufacturer and the user SK values, ∆ = (Smax + Smin)/2, is also presented.
The manufacturer (personal communication of Peter Seyers, Isotron) informs that its instrument is traced at NIST and has an uncertainty of 3% (k = 2). Then, the combined standard deviation with the uncertainty of the Santos et al. well chamber (4%, k = 2) is 2.1% (k = 1). The = 2.2% ± 0.3% (k = 1) obtained of the fit to the data of Santos et al. is consistent with these values. The systematic deviation between the manufacturer and the user values of SK resulted in (∆ = 0.4% ± 0.4% (k = 1) that is compatible within uncertainties with no deviation between the user and the manufacturer measurements.
According to these results, we could conclude from the data of Santos et al. that the distribution of a given class of seeds follows the model of eq. (A.2) discussed above with a total width of 8%, with respect to the central value of each class with a combined standard deviation of the measurement instruments of = 2.2%. The standard deviation of this p(SK) distribution is ∑ = 3.2%.
SK distribution assaying 10 seeds with the insert
According to the previous results, we begin assuming that there is not a systematic deviation between the manufacturer and user measurement, (∆ = 0) and that the distribution of a given class of seeds has the form p(SK) discussed above with a total width of 8% with respect to the central value of the class, with a combined standard deviation of the measurement instruments of 2.2%.
In case in which the manufacturer provides 10 separate seeds, they come from a distribution p (SK), but with = M. The user does a single measurement with the Nucletron insert and she/he measures SKŻŻ. SKŻŻ should follow a Gaussian distribution (mean and standard deviation ∆10 and 10, respectively) because it is the mean of the SK of ten seeds. The
∑
standard deviation of should be 10 √ 2 +(UNucletron)2
10
where ∑ is the standard deviation of p (SK), but with = M and Nucletron is the uncertainty associated to a measurement with the Nucletron insert.
Acknowledgements
This study was supported in part by Generalitat Valenciana (Project PROMETEO2008/114), FEDER, Ministerio de Ciencia e Innovación, Spain (Project No. FIS201017007) and by a research agreement with Nucletron B.V. Veenendaal, The Netherlands.
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Copyright: © 2012 Termedia Sp. z o. o. This is an Open Access article distributed under the terms of the Creative Commons AttributionNonCommercialShareAlike 4.0 International (CC BYNCSA 4.0) License ( http://creativecommons.org/licenses/byncsa/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.

