|Year : 2022 | Volume
| Issue : 2 | Page : 121-125
Comparison of accuracy in calculation of absorbed dose to the kidneys following radioligand therapy with 177Lu-DKFZ-PSMA-617 by two different background correction methods
Elahe Mahmoudi1, Elahe Pirayesh2, Mohammad Reza Deevband1, Mahasti Amoui2, Mehrdad Ghorbani Rad3
1 Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Department of Nuclear Medicine, School of Medicine, Shohada-e Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3 Department of Nuclear Medicine, Shohada-e Tajrish Hospital, Tehran, Iran
|Date of Submission||04-Sep-2021|
|Date of Decision||19-Dec-2021|
|Date of Acceptance||29-Dec-2021|
|Date of Web Publication||08-Jul-2022|
Dr. Mohammad Reza Deevband
Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: To improve the accuracy of activity image quality, scatter correction is a critical method. The aim of this study is to compare the accuracy in calculation of absorbed dose to patients following radioligand therapy (RLT) with 177Lu-DKFZ-PSMA-617 by two different methods of background correction in the conjugate view method. Materials and Methods: This study involved 10 patients. The individualized patient dosimetry calculations were based on whole-body planar scintigraphy images acquired in 10 patients with a mean age of 71.4 ± 6.07 years (range 63–85 years) at approximately 0–2 h, 4–6 h, 18–24 h, and 36–48 h after administration of the mean 6253 ± 826.4 MBq (range 5500–7400 MBq) of 177Lu-DKFZ-PSMA-617. Organ activities were calculated using the conjugate view method by Buijs and conventional background correction. Eventually, the absorbed dose of radiation was calculated using Medical Internal Radiation Dose formalism. Results: The dose per unit of injected activity (mGy/MBq) ± standard deviation for kidney using Buijs and conventional methods was 1.05 ± 0.11 and 0.63 ± 0.14, respectively. Conclusion: The Buijs background correction method was more accurate than the conventional method.
Keywords: Absorbed dose, background correction, conjugate view method, radioligand therapy
|How to cite this article:|
Mahmoudi E, Pirayesh E, Deevband MR, Amoui M, Rad MG. Comparison of accuracy in calculation of absorbed dose to the kidneys following radioligand therapy with 177Lu-DKFZ-PSMA-617 by two different background correction methods. Indian J Nucl Med 2022;37:121-5
|How to cite this URL:|
Mahmoudi E, Pirayesh E, Deevband MR, Amoui M, Rad MG. Comparison of accuracy in calculation of absorbed dose to the kidneys following radioligand therapy with 177Lu-DKFZ-PSMA-617 by two different background correction methods. Indian J Nucl Med [serial online] 2022 [cited 2022 Oct 2];37:121-5. Available from: https://www.ijnm.in/text.asp?2022/37/2/121/350250
| Introduction|| |
Many cancer patients are successfully treated due to the improvement of old treatment techniques such as surgery, external beam radiotherapy, chemotherapy, and biotherapy. Unfortunately, for some patients, the treatment fails. This can be due to the extent of cancer spreading to multiple sites of the body. To solve this problem, new treatments are being developed, including radioligand therapy (RLT). Reliable estimates of the radiation dose from diagnostic or therapeutic radiopharmaceutical agents in nuclear medicine to assess the risks and benefits of using them are essential.,, Once the RLT therapy has been decided on, several methods can be applied to estimate the amount of activity required for planned dose delivery to organs. The radiation dose estimation is the basis for the use of radiopharmaceuticals in nuclear medicine and it is also the first step in protection against radiation. For example, in therapeutic applications of radiopharmaceuticals, it is necessary to assess the absorbed dose in the tumor and normal tissues to choose the most appropriate treatment protocol, maintaining doses to vital organs at safe levels. It is important to state that the organ dose evaluation deeply depends on the activity quantification of that organ. The Committee on Medical Internal Radiation Dose (MIRD) is credited with developing a standardized data framework to establish correlations between delivered activity and radiation dose.,, These studies showed that the absorbed dose in the target organs is estimated as a function of the accumulated activity in the source organs and generally provides the correct mathematically estimated dose., The conjugate view method was used for the quantification of organ activities. The standard method for quantifying activity in an organ is a connection method in which, in general, an anterior image and a posterior image are obtained, and the regions of interest area (ROI) are drawn manually on the organs of interest.,, Accurate estimation of activity from the measured count requires some modifications to the physical factors, such as attenuation, scattering, patient thickness, and the physical decay of the radionuclide used. Several types of research were performed to study the activity evaluation using planar images, mainly investigating the attenuation and scatter corrections. However, evaluation of different methods has been studied to improve the background, but still need to find an accurate way, especially in the evaluation of content in the parts with low absorption there. The accuracy of various background correction methods is required for optimizing the methods of activity quantification to calculated internal dose estimations for nuclear medicine diagnostic and therapeutic.,, The main goal of this study was to compare accuracy in calculation of absorbed dose to kidneys in patients following peptide receptor radionuclide therapy with 177Lu-DKFZ-PSMA-617 by two different methods of background in conjugate view method of Buijs and conventional.
| Materials and Methods|| |
Data analysis was performed on ten patients with distant metastases and progressive disease, aged 36–65 years (mean: 51.4 ± 60.7 years) and adequate hematological, liver, and renal function, who were treated with 177Lu-DKFZ-PSMA-617 between April 2019 and September 2019 in Shohada-e Tajrish Hospital, Tehran, Iran. The physician determined the specific activity to be administered, according to the dosimetric results and the patient's clinical conditions. During the first cycle, patients were evaluated for dosimetry with 177Lu-DKFZ-PSMA-617. The mean activity of 6253 ± 826.4 (range: 5500–7400 MBq) was used in this study. A summary of the treatment history for patients is shown in [Table 1]. The study was approved by the Hospital Ethics Committee, informed consent was obtained from all patients and it was carried out according to the provisions of the Declaration of Helsinki. Following injection of 177Lu-DKFZ-PSMA-617, patients underwent imaging at 0–2, 4–6, 18–20, and 36–48 h in the form of whole-body planar acquisition. Planar imaging was used to measure the whole body and organs' activity over a number of days. All data were acquired on a dual-head gamma-camera (Symbia Evo Excel SIEMENS) equipped with low-energy high-resolution collimators and with 3/8” thick NaI crystals. Anterior and posterior views were acquired with a 16 cm/min scan speed, an energy window of 20% for a double peak at 113, and 208 keV. The first whole-body image was performed before voiding. A 177Lu source was positioned. Static images were acquired for 300 s, using the same matrix, pixel size, and energy setting as for the whole-body images. The number of counts in a region of interest around the source in the images was determined and divided by scanning time. The system calibration factor for 177Lu was determined in counts per second per MBq (cps/MBq) using Equation No. 1.
The organ in the body may receive radiation directly from the injected radionuclide or from other organs around them. For activity quantification, the conjugated view method was used. The count rates were measured by drawn ROI for kidneys. The activity was calculated for the kidneys at each time point, using Equations No. 2 and No. 3.
where IA and Ip are background-corrected numbers of counts (cps) within specified ROI in each organ from anterior and posterior images, respectively. T is the anterior-posterior body thickness, t is the organ thickness, F is the gamma-camera calibration factor, and μ is the attenuation coefficient for 177Lu. The thickness of the body and kidney organs was measured separately using side images (spectra and computerized tomography scan) as well as gamma-camera software for each patient. For paired organs (kidneys), the value was calculated and a single time-activity curve was obtained. For each ROI, the geometric mean of two conjugate views was calculated. The curve of activity as a function of the time was drawn for kidneys and fitted to bi-exponential function. The cumulative activity was calculated in each organ, separately using the MATLAB program. Each organ residence time (h) was calculated by cumulative activity per administered activity. By two different Buijs and conventional background correction methods, a counting rate was obtained.
According to the Buijs equation No. 4, the counting rate in a neighboring ROI is subtracted from the counting rate in the organs ROI.
IA = I'A − IBGA × F
IP = I'P − IBGP × F (4)
where IA (IP) is the background corrected counting rate in the anterior (posterior), I'A (I'P) is the measured counting rate in the anterior (posterior) ROI, and IBGA (IBGP) is the counting rate in the anterior (posterior) background ROI. F is the fraction of the total background activity IBGA to be subtracted from the measured activity in the source organ's ROI, IA (IP). F is defined as Equation No. 5:
F = 1 – (t/T) (5)
where t is the organ thickness and T is the body thickness (cm) at the source organ.
Conventional background subtraction
The counting rate was measured in an adjacent ROI subtracted from the counting rate in the ROI, using Equation No. 6:
IA = I'A – I”A × SA
IP = I'P – I”P × SP (6)
The counts per pixel (count/pix) rate in the anterior (posterior) background ROI and the number of pixels in the anterior (posterior) source ROI region is defined by IA (IP) and I'A (I'P) SA (SP) the number of pixels in the anterior (posterior) source ROI region.
MIRD scheme provides a conventional method for estimating absorbed doses of radionuclides in internal organs. The mean absorbed dose for each organ was determined with Equation No. 7.
where D¯ is the absorbed dose of each target, is cumulative activity of each source, and the S-value is absorbed dose per cumulative activity for each pair source target. Dosimetry values were computed with an S-value value for Lu-177 derived from the Radiation Dose Assessment Resource website.,, The dose evaluation was performed according to IDIAC-DOSE 2.1 software. An internal dosimetry computer program, IDAC-Dose 2.1, was developed based on the International Commission on Radiological Protection (ICRP) absorbed fractions and computational framework of internal dose assessment given for reference adults in ICRP Publication 133. The IDIAC-DOSE 2.1 software calculates absorbed doses to all 47 target regions defined in ICRP Publication 133. The results are presented in terms of absorbed dose per administered activity (mGy/MBq). All results were expressed as mean ± standard deviation (SD). The complete data analysis was done using Microsoft Excel (Microsoft office professional plus 2013) and MATLAB (R2011a; The MathWorks, Inc., Natick, MA) software.
| Results|| |
[Table 2] shows that the kidney uptake was calculated using conventional, Buijs subtraction methods for background correction. The current study presents the absorbed per unit of injected activity (mGy/MBq) ± SD for kidneys after different background correction methods in the conjugate view method. Calculations were in accordance with MIRD recommendations. These values for kidney by Buijs method were 1.05 ± 0.11 and by the conventional method were 0.63 ± 0.14 mGy/MBq. The percentage difference between the absorbed doses in this study (Buijs and conventional) with MIRD software (IDIAC-DOSE 2.1) was 13% and 28%, respectively.
|Table 2: Mean uptake in the kidneys during radioligand therapy using two methods of background correction at different times|
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| Discussion|| |
Biodistribution data for radiopharmaceuticals within the body and specific organs may be obtained from planar gamma-camera views using the conjugate view geometric mean method. The accuracy of this method will be greatest for radiopharmaceuticals distributed in a single organ or isolated organs that do not overlap in the planar projection.
For planar gamma-camera imaging, subtraction of background activity present in surrounding tissue from activity measured in the organ of interest is routinely performed. Background subtraction is required to allow accurate estimation of the organ activity or for comparisons of relative activity uptakes or retentions between tissues. Many studies have shown that factors such as effective attenuation coefficient, body thickness, device sensitivity, background activity, and overlap of tissue influence the accuracy of activity quantification. Current methods for quantifying organ activity are accurate enough for single or detached organs that do not sufficiently overlap with others in the planar project.,, However, in most common clinical cases, the organs overlap and the uptake of activity in the background is such that a kind of background modification is needed to improve the accuracy of quantifying activity in the target organ. Norrgren et al. noted that background activity correction was the factor that had the greatest impact on the results. The main source of uncertainty in quantifying organ or tumor activity from planar images is the activity in the tissue around the source. The present study showed that the Buijs background correction method was more accurate than the conventional method on estimated absorbed dose for kidneys [Table 2]. As the results in [Table 3] represents, the absorbed dose within the kidneys shows its agreement with the data of IDAC-DOSE 2.1 software. Buijs et al. reported that the conventional method leads to excessive correction of background activity, because the organ volume is not considered. The conventional method, which is the simplest method of background correction, is based on the use of ROI, which is conveniently adjacent to the organ's ROI. The number of counts per pixel in that background ROI is subtracted from the counts per pixel in the ROI. Another method simplified by Buijs et al. is proposed, in which the thickness of the organ and the body is required. This method is used to avoid over subtraction of background activity due to the volume occupied by the organ. The present study showed that the Buijs background correction method is more accurate than the conventional method in estimating the absorbed dose. The conventional method for background correction does not correct for source volume in contrast to the Buijs methods. The accuracy of the activity quantification was evaluated using two different methods of background correction in 177Lu-DKFZ-PSMA-617 scans. The choice of background correction method is even more important in order to determine the amount of activity absorption in the organ of interest at an acceptable level of accuracy. Concerns about the safe and effective use of radiation in medicine led to the development of standard methods and methods for calibrating the amount of activity prescribed to patients. The comparison between two different methods of background activity correction applied in the present study showed that the Buijs method was the most appropriate method for background correction in 177Lu-DKFZ-PSMA-617 scans. It should be noted that a less accurate estimation of the activity concentration may be due to background activity in the vicinity of the target organ. It is also affected by the size of the ROI which is used in data analysis. Incorrect estimates of body and organ thickness can also affect results. Using reference values can also be a source of error, as absorption dose values can vary somewhat in patients. Some of the items listed above, such as lack of precision in the thickness of the body and organs, and changes in the activity of background, to perform the measurement of a phantom can be resolved to decide which method to correct background for the organ to be most suitable. However, studies based on the phantom as well as it is a limitation, including the inability to accurately simulate irregularities and nonuniform background activity. The method current study is a simple method that is easily implemented in any clinic with a gamma camera.
|Table 3: Result of absorbed dose per unit of injected activity (mGy/mBq)±standard deviation after administration of 177Lu-DKFZ-PSMA-617 intravenously between two background correction methods (n=10)|
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| Conclusion|| |
One of the major sources of uncertainty in quantifying organ or tumor activity from planar images is the activity in the tissue around the source. Assessment of absorbed dose to kidney plays a vital role in maintaining safe delivery of RLT therapy to patients suffering from prostate cancer. The mean absorbed dose of 177Lu-DKFZ-PSMA-617 was estimated in kidneys using two different methods of background correction showed Buijs method for background correction will provide the most accurate results.
The present article is financially supported by the “Research Department of the School of Medicine Shahid Beheshti University of Medical Sciences” (Grant No. 25569).
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Sandström M, Garske-Román U, Granberg D, Johansson S, Widström C, Eriksson B, Sundin A, Lundqvist H, Lubberink M. Individualized dosimetry of kidney and bone marrow in patients undergoing 177Lu-DOTA-octreotate treatment. J Nucl Med. 2013 Jan;54(1):33-41.
Siegel R, Ma J, Zou Z, Jemal A. Cancer statistics, 2014. CA Cancer J Clin 2014;64:9-29.
Flux G, Bardies M, Chiesa C, Monsieurs M, Savolainen S, Strand SE, et al.
Clinical radionuclide therapy dosimetry: The quest for the “Holy Gray”. Eur J Nucl Med Mol Imaging 2007;34:1699-700.
Shahbazi-Gahrouei D, Nikzad S, Shokrani P, Shahi Z, Monadi S. Determination of absorbed dose of organs (thyroid, sternum, cervical vertebra) in thyroid cancer patients following radioiodine therapy. Iran J Nucl Med 2009;17:27-33.
Shahbazi-Gahrouei D, Ayat S. Determination of organ doses in radioiodine therapy using Monte Carlo simulation. World J Nucl Med 2015;14:16-8.
] [Full text]
Divoli A, Chiavassa S, Ferrer L, Barbet J, Flux GD, Bardiès M. Effect of patient morphology on dosimetric calculations for internal irradiation as assessed by comparisons of Monte Carlo versus conventional methodologies. J Nucl Med 2009;50:316-23.
Howard DM, Kearfott KJ, Wilderman SJ, Dewaraja YK. Comparison of I-131 radioimmunotherapy tumor dosimetry: Unit density sphere model versus patient-specific Monte Carlo calculations. Cancer Biother Radiopharm 2011;26:615-21.
Senthamizhchelvan S, Hobbs RF, Song H, Frey EC, Zhang Z, Armour E, et al.
Tumor dosimetry and response for 153Sm-ethylenediamine tetramethylene phosphonic acid therapy of high-risk osteosarcoma. J Nucl Med 2012;53:215-24.
Shahbazi-Gahrouei D, Ayat S. Comparison of three methods of calculation, experimental and Monte Carlo simulation in investigation of organ doses (thyroid, sternum, cervical vertebra) in radioiodine therapy. J Med Signals Sens 2012;2:149-52.
] [Full text]
Shahbazi-Gahrouei D, Nikzad S. Determination of organ doses in radioiodine therapy using medical internal radiation dosimetry (MIRD) method. Iran J Radiat Res 2011;8:249-52.
Jönsson L, Ljungberg M, Strand SE. Evaluation of accuracy in activity calculations for the conjugate view method from Monte Carlo simulated scintillation camera images using experimental data in an anthropomorphic phantom. J Nucl Med 2005;46:1679-86.
Pereira JM, Stabin MG, Lima FR, Guimarães MI, Forrester JW. Image quantification for radiation dose calculations – Limitations and uncertainties. Health Phys 2010;99:688-701.
Sorenson JA. Methods for Quantitating Radioactivity, In vivo
, by External Counting Measurements. Madison, USA: University of Wisconsin-Madison; 1971.
Buijs WC, Siegel JA, Boerman OC, Corstens FH. Absolute organ activity estimated by five different methods of background correction. J Nucl Med 1998;39:2167-72.
Eiber M, Nekolla SG, Maurer T, Weirich G, Wester HJ, Schwaiger M. (68) Ga-PSMA PET/MR with multimodality image analysis for primary prostate cancer. Abdom Imaging 2015;40:1769-71.
Brolin G, Gleisner KS, Ljungberg M. Dynamic (99m) Tc-MAG3 renography: Images for quality control obtained by combining pharmacokinetic modelling, an anthropomorphic computer phantom and Monte Carlo simulated scintillation camera imaging. Phys Med Biol 2013;58:3145-61.
Konijnenberg MW, Bijster M, Krenning EP, De Jong M. A stylized computational model of the rat for organ dosimetry in support of preclinical evaluations of peptide receptor radionuclide therapy with (90) Y, (111) in, or (177) Lu. J Nucl Med 2009;50:2092.
Stabin MG, Siegel JA. Physical models and dose factors for use in internal dose assessment. Health Phys 2003;85:294-310.
Stabin MG. Uncertainties in internal dose calculations for radiopharmaceuticals. J Nucl Med 2008;49:853-60.
Smith T, Raval U, Lahiri A. Influence of background correction in the estimation of myocardial uptake of 99mTc labelled perfusion imaging agents. Phys Med Biol 1998;43:2695-702.
Norrgren K, Svegborn SL, Areberg J, Mattsson S. Accuracy of the quantification of organ activity from planar gamma camera images. Cancer Biother Radiopharm 2003;18:125-31.
[Table 1], [Table 2], [Table 3]