Software for modeling a decay and storage tank system for liquid radioactive waste in radionuclide therapy
K. K. Kiselev,
A. A. Trukhin,
S. A. Ryzhov,
I. V. Glotova,
A. V. Vodovatov,
V. V. Kakusha,
Yu. N. Likar https://doi.org/10.21514/1998-426X-2026-19-3-143-152
Abstract
The operation of liquid radioactive waste collection and storage systems for patients undergoing radioiodine therapy is associated with several challenges that directly affect the throughput of nuclear medicine departments. Existing approaches to predicting Delay System performance do not adequately assess the consequences of different operational scenarios, as they fail to account for key physico-technical characteristics of the system and physiological factors governing activity excretion. Purpose if the study is to evaluate the results of predicting the operation of a liquid radioactive waste Delay System for patients undergoing radioiodine therapy. Materials and Methods: A dedicated mathematical model of liquid radioactive waste generation, collection, and storage processes was developed using the Monte Carlo method. The model incorporates patient hospitalization schedules, administered 131I activities, radiopharmaceutical pharmacokinetics, radioactive decay of[131] I, and various tank filling scenarios. Results and Discussion: The model was implemented as a computer program «RadIodineWasteSim 1.0». Simulation results are consistent with radiation monitoring data and operational logs of the Delay System at the Endocrinology Research Centre. The Pearson correlation coefficient between simulated and experimental data was 0.96. Conclusion: The high level of agreement between simulated and experimental results confirms the validity of the proposed modeling approach. The «RadIodineWasteSim 1.0» program can be used in the design and operation of nuclear medicine departments to assess the impact of organizational decisions on departmental throughput.
Keywords
Supporting agencies: The work was carried out within the framework of research «Development of personalized methods of radionuclide diagnostics and therapy in children, as well as radiological monitoring, including using artificial intelligence technologies» (EGISU No.: No. 124021200036-9).
About the Authors
K. K. Kiselev
Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology; Institute for physics and engineering in biomedicine of National research nuclear university MEPhI
Russian Federation
Russian Federation
Kirill K. Kiselev Medical Physicist; postgraduate student
Moscow
A. A. Trukhin
Endocrinology Research Centre; Institute for physics and engineering in biomedicine of National research nuclear university MEPhI
Russian Federation
Russian Federation
Alexey A. Trukhin Candidate of Technical Sciences, Medical physicis; Lecturer
Moscow
S. A. Ryzhov
Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology of the Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
Sergey A. Ryzhov Vice President, Association of Medical Physicists in Russia; research fellow, Research and Practice Center of Diagnostics and Telemedicine Technologies; head of the radiation safety and medical physics department
1, Samory Mashela Str., Moscow, GSP-7, 117997
I. V. Glotova
Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology; Institute for physics and engineering in biomedicine of National research nuclear university MEPhI
Russian Federation
Russian Federation
Irina V. Glotova Medical Physicist; postgraduate student
Moscow
A. V. Vodovatov
Saint Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev, Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing; Saint Petersburg State Pediatric Medical University
Russian Federation
Russian Federation
Aleksandr V. Vodovatov Candidate of Biological Sciences, Head of Laboratory of Radiation Hygiene of Medical Facilities; Docent
Saint Petersburg
V. V. Kakusha
Endocrinology Research Centre
Russian Federation
Russian Federation
Vladlen V. Kakusha Senior Operator of Specialized Equipment for Liquid Radioactive Waste Treatment
Moscow
Yu. N. Likar
Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology
Russian Federation
Russian Federation
Yuri N. Likar Doctor of Medical Sciences, Head of the Department of Radionuclide Diagnostics and Therapy
Moscow
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Review
For citations:
Kiselev K.K., Trukhin A.A., Ryzhov S.A., Glotova I.V., Vodovatov A.V., Kakusha V.V., Likar Yu.N. Software for modeling a decay and storage tank system for liquid radioactive waste in radionuclide therapy. Radiatsionnaya Gygiena = Radiation Hygiene. 2026;19(3):143-152. (In Russ.) https://doi.org/10.21514/1998-426X-2026-19-3-143-152
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