Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data

The aim of the study was to develop and validate a software package (SP) for computer simulation of the procedure for examining patients with lung cancer by SPECT/CT and assessing the accuracy of reconstruction of tumor lesions.Material and Methods. Lung scintigraphy for a patient with peripheral sq...

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Main Authors: N. V. Denisova, M. A. Gurko, S. M. Minin, Zh. Zh. Anashbaev, A. A. Zheravin, E. A. Samoilova, S. E. Krasilnikov
Format: Article
Language:Russian
Published: Russian Academy of Sciences, Tomsk National Research Medical Center 2023-05-01
Series:Сибирский онкологический журнал
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Online Access:https://www.siboncoj.ru/jour/article/view/2524
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author N. V. Denisova
M. A. Gurko
S. M. Minin
Zh. Zh. Anashbaev
A. A. Zheravin
E. A. Samoilova
S. E. Krasilnikov
author_facet N. V. Denisova
M. A. Gurko
S. M. Minin
Zh. Zh. Anashbaev
A. A. Zheravin
E. A. Samoilova
S. E. Krasilnikov
author_sort N. V. Denisova
collection DOAJ
description The aim of the study was to develop and validate a software package (SP) for computer simulation of the procedure for examining patients with lung cancer by SPECT/CT and assessing the accuracy of reconstruction of tumor lesions.Material and Methods. Lung scintigraphy for a patient with peripheral squamous cell carcinoma of the upper lobe of the right lung was performed using a two-detector gamma camera GE Discovery NM/CT 670 DR (USA) with high-resolution collimators for an energy of 140 KeV and a radiopharmaceutical (RP) 99mTc-Technetril (MIBI, Diamed, Moscow). The data obtained were subjected to computer processing using a specialized Xeleris 4.0 system from GE (USA). The SP included a program for generating a voxel phantom (“virtual patient”), a program for modeling the “raw” data acquisition (“virtual tomograph”) and an image reconstruction based on the OSEM algorithm (Ordered Subset Expectation Maximization). In order to validate the created SP, computer simulation of the above clinical case was performed. The semi-quantitative comparative image analysis was based on a tumor/background score.Results. There was a good correlation between clinical “raw” data recorded from a real patient and projection data calculated by the Monte Carlo method from a “virtual patient”. The results of the comparative analysis showed that the tumor/background assessment was underestimated in the reconstructed images.Conclusion. The problem of the accuracy of the tumor lesions reconstruction by using standard OSEM reconstruction algorithms has not been studied. This issue is important in the management of patients with tumor lesions of the lungs and requires study and systematization. The SP will be used in further studies to analyze errors and artifacts in images of tumor lesions, as well as to develop approaches to overcome them.
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spelling doaj-art-6ba48540103e4fc586306bdb45dff4382025-08-20T03:18:25ZrusRussian Academy of Sciences, Tomsk National Research Medical CenterСибирский онкологический журнал1814-48612312-31682023-05-01222142510.21294/1814-4861-2023-22-2-14-251100Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT dataN. V. Denisova0M. A. Gurko1S. M. Minin2Zh. Zh. Anashbaev3A. A. Zheravin4E. A. Samoilova5S. E. Krasilnikov6Khristianovich Institute of Theoretical and Applied Mechanics, Siberian Branch of the Russian Academy of SciencesKhristianovich Institute of Theoretical and Applied Mechanics, Siberian Branch of the Russian Academy of SciencesE. Meshalkin National Medical Research Center of the Ministry of Health of the RussiaE. Meshalkin National Medical Research Center of the Ministry of Health of the RussiaE. Meshalkin National Medical Research Center of the Ministry of Health of the RussiaE. Meshalkin National Medical Research Center of the Ministry of Health of the RussiaE. Meshalkin National Medical Research Center of the Ministry of Health of the RussiaThe aim of the study was to develop and validate a software package (SP) for computer simulation of the procedure for examining patients with lung cancer by SPECT/CT and assessing the accuracy of reconstruction of tumor lesions.Material and Methods. Lung scintigraphy for a patient with peripheral squamous cell carcinoma of the upper lobe of the right lung was performed using a two-detector gamma camera GE Discovery NM/CT 670 DR (USA) with high-resolution collimators for an energy of 140 KeV and a radiopharmaceutical (RP) 99mTc-Technetril (MIBI, Diamed, Moscow). The data obtained were subjected to computer processing using a specialized Xeleris 4.0 system from GE (USA). The SP included a program for generating a voxel phantom (“virtual patient”), a program for modeling the “raw” data acquisition (“virtual tomograph”) and an image reconstruction based on the OSEM algorithm (Ordered Subset Expectation Maximization). In order to validate the created SP, computer simulation of the above clinical case was performed. The semi-quantitative comparative image analysis was based on a tumor/background score.Results. There was a good correlation between clinical “raw” data recorded from a real patient and projection data calculated by the Monte Carlo method from a “virtual patient”. The results of the comparative analysis showed that the tumor/background assessment was underestimated in the reconstructed images.Conclusion. The problem of the accuracy of the tumor lesions reconstruction by using standard OSEM reconstruction algorithms has not been studied. This issue is important in the management of patients with tumor lesions of the lungs and requires study and systematization. The SP will be used in further studies to analyze errors and artifacts in images of tumor lesions, as well as to develop approaches to overcome them.https://www.siboncoj.ru/jour/article/view/2524computer simulationmathematical phantomvoxel human phantomiteration reconstruction algorithmspect/ctlung cancer
spellingShingle N. V. Denisova
M. A. Gurko
S. M. Minin
Zh. Zh. Anashbaev
A. A. Zheravin
E. A. Samoilova
S. E. Krasilnikov
Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data
Сибирский онкологический журнал
computer simulation
mathematical phantom
voxel human phantom
iteration reconstruction algorithm
spect/ct
lung cancer
title Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data
title_full Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data
title_fullStr Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data
title_full_unstemmed Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data
title_short Potentials of computer simulation of lung tumors in comparison with <sup>99m</sup>Тс-MIBI SPECT/CT data
title_sort potentials of computer simulation of lung tumors in comparison with sup 99m sup тс mibi spect ct data
topic computer simulation
mathematical phantom
voxel human phantom
iteration reconstruction algorithm
spect/ct
lung cancer
url https://www.siboncoj.ru/jour/article/view/2524
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