JOURNAL DESCRIPTION
The Medical Radiology and Radiation Safety journal ISSN 1024-6177 was founded in January 1956 (before December 30, 1993 it was entitled Medical Radiology, ISSN 0025-8334). In 2018, the journal received Online ISSN: 2618-9615 and was registered as an electronic online publication in Roskomnadzor on March 29, 2018. It publishes original research articles which cover questions of radiobiology, radiation medicine, radiation safety, radiation therapy, nuclear medicine and scientific reviews. In general the journal has more than 30 headings and it is of interest for specialists working in thefields of medicine¸ radiation biology, epidemiology, medical physics and technology. Since July 01, 2008 the journal has been published by State Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency. The founder from 1956 to the present time is the Ministry of Health of the Russian Federation, and from 2008 to the present time is the Federal Medical Biological Agency.
Members of the editorial board are scientists specializing in the field of radiation biology and medicine, radiation protection, radiation epidemiology, radiation oncology, radiation diagnostics and therapy, nuclear medicine and medical physics. The editorial board consists of academicians (members of the Russian Academy of Science (RAS)), the full member of Academy of Medical Sciences of the Republic of Armenia, corresponding members of the RAS, Doctors of Medicine, professor, candidates and doctors of biological, physical mathematics and engineering sciences. The editorial board is constantly replenished by experts who work in the CIS and foreign countries.
Six issues of the journal are published per year, the volume is 13.5 conventional printed sheets, 88 printer’s sheets, 1.000 copies. The journal has an identical full-text electronic version, which, simultaneously with the printed version and color drawings, is posted on the sites of the Scientific Electronic Library (SEL) and the journal's website. The journal is distributed through the Rospechat Agency under the contract № 7407 of June 16, 2006, through individual buyers and commercial structures. The publication of articles is free.
The journal is included in the List of Russian Reviewed Scientific Journals of the Higher Attestation Commission. Since 2008 the journal has been available on the Internet and indexed in the RISC database which is placed on Web of Science. Since February 2nd, 2018, the journal "Medical Radiology and Radiation Safety" has been indexed in the SCOPUS abstract and citation database.
Brief electronic versions of the Journal have been publicly available since 2005 on the website of the Medical Radiology and Radiation Safety Journal: http://www.medradiol.ru. Since 2011, all issues of the journal as a whole are publicly available, and since 2016 - full-text versions of scientific articles. Since 2005, subscribers can purchase full versions of other articles of any issue only through the National Electronic Library. The editor of the Medical Radiology and Radiation Safety Journal in accordance with the National Electronic Library agreement has been providing the Library with all its production since 2005 until now.
The main working language of the journal is Russian, an additional language is English, which is used to write titles of articles, information about authors, annotations, key words, a list of literature.
Since 2017 the journal Medical Radiology and Radiation Safety has switched to digital identification of publications, assigning to each article the identifier of the digital object (DOI), which greatly accelerated the search for the location of the article on the Internet. In future it is planned to publish the English-language version of the journal Medical Radiology and Radiation Safety for its development. In order to obtain information about the publication activity of the journal in March 2015, a counter of readers' references to the materials posted on the site from 2005 to the present which is placed on the journal's website. During 2015 - 2016 years on average there were no more than 100-170 handlings per day. Publication of a number of articles, as well as electronic versions of profile monographs and collections in the public domain, dramatically increased the number of handlings to the journal's website to 500 - 800 per day, and the total number of visits to the site at the end of 2017 was more than 230.000.
The two-year impact factor of RISC, according to data for 2017, was 0.439, taking into account citation from all sources - 0.570, and the five-year impact factor of RISC - 0.352.
Issues journals
Medical Radiology and Radiation Safety. 2022. Vol. 67. № 6
DOI:10.33266/1024-6177-2022-67-6-67-73
I.D. Rozanov1, M.S. Bunak2, A.A. Glazkov2, E.A. Stepanova2, S.S. Lebedev1, A.S. Balkanov2
Postoperative Perfusion Magnetic Resonance Imaging as a Tool
for Predicting Survival in Glioblastoma of the Brain
1S.P. Botkin City Clinical Hospital, Outpatient Cancer Care Center, Moscow, Russia
2M.F. VladimirskyMoscow Regional Research Clinical Institute, Moscow, Russia
Contact person: Andrey Sergeevich Balkanov, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
ABSTRACT
Glioblastoma is the most frequently detected primary brain tumor (pGB), the prognosis of which significantly depends on the magnitude of residual GB (rGB), for which magnetic resonance imaging (MRI) is used in the postoperative period.
Purpose: To analyze the data of ASL perfusion MRI (ASL-pMRI) performed prior to adjuvant radiation therapy (aRT), 6 to 8 weeks after resection of pGB, in terms of their prognostic significance for survival in this group of patients.
Material and methods: The study included 54 patients (median age ‒ 58 years; gender: 29 men, 25 women). The Karnovsky index in
81.5 % of patients was ≥80 %. To visualize and calculate the dimensions of the rGB, ASL-pMRI was used according to the type of pseudo-continuous three-dimensional marking of arterial spins. The focus/foci of hyperperfusion (CBFmean > 64 ml/100g/min) in the area of the wall of the postoperative cyst were considered as rGB.
Results: Survival in the total group of 54 patients with pGB was 18 months (95 % CI:14.23) . The use of ASL-pMRI made it possible to visualize rGB in 37 (68.5 %) patients. The probability of visualization of rGB was significantly higher (p=0.02) in the case of temporal localization of the tumor. Age (HR:1.04; 95 % CI: 1.01‒1.07; p=0.007), the maximum diameter of the rGB (HR:1.04; 95 % CI: (1.01‒1.07); p=0.03) and localization of pGB in the temporal lobe (HR:2.00; 95 % CI: 1.05‒3.80; p=0.034) had a significant negative impact on survival. The use of the multifactorial Cox model showed that only the age ≥60 years (HR:2.78; 95 % CI:1.26‒6.15; p=0.012) and the maximum diameter of rGB ≥25 mm (HR:3.35; 95 % CI:1.36‒8.22; p=0.008) retained their significant negative impact on the survival of patients with pGB.
Conclusions: the use of ASL – pMRI 6 to 8 weeks after resection of pGB indicates that the results obtained can become an effective tool for predicting survival in this group of patients.
Keywords: brain glioblastoma, ASL perfusion magnetic resonance imaging, residual glioblastoma, hyperperfusion focus, survival, radiation therapy
For citation: Rozanov ID, Bunak MS, Glazkov AA, Stepanova EA, Lebedev SS, Balkanov AS. Postoperative Perfusion Magnetic Resonance Imaging as a Tool for Predicting Survival in Glioblastoma of the Brain. Medical Radiology and Radiation Safety. 2022;67(6):67–73. (In Russian). DOI:10.33266/1024-6177-2022-67-6-67-73
References
1. Ostrom Q.T., Cote D.J., Ascha M., Kruchko C., Barnholtz-Sloan J.S. Adult Glioma Incidence and Survival by Race or Ethnicity in the United States from 2000 to 2014. JAMA Oncol. 2018;4;9:1254-1262. doi: 10.1001/jamaoncol.2018.1789.
2. Amirian E.S., Armstrong G.N., Zhou R., Lau C.C., Claus E.B., Barnholtz-Sloan J.S., Il’yasova D., Schildkraut J., Ali-Osman F., Sadetzki S., Johansen C., Houlston R.S, Jenkins R.B., Lachance D.,. Olson S.H., Bernstein J.L., Merrell R.T., Wrensch M.R., Davis F.G., Lai R., Shete S., Amos C.I., Scheurer M.E., Alafuzoff K.I., Brännström T., Broholm H., Collins P., Giannini C., Rosenblum M., Tihan T., Melin B.S., Bondy M.L. The Glioma International Case-control Study: A Report From the Genetic Epidemiology of Glioma International Consortium. Am. J. Epidemiol. 2016;183;2:85-91.
3. Chaichana K.L., Jusue-Torres I., Navarro-Ramirez R., Raza S.M., Pascual-Gallego M., Ibrahim A., Hernandez-Hermann M., Gomez L., Ye X., Weingart J.D., Olivi A., Blakeley J., Gallia G.L., Lim M., Brem H., Quinones-Hinojosa A. Establishing Percent Resection and Residual Volume Thresholds Affecting Survival and Recurrence for Patients with Newly Diagnosed Intracranial Glioblastoma. Neuro Oncol. 2014;16;1:113-122. doi: 10.1093/neuonc/not137.
4. Wen P.Y., Weller M., Lee E.Q., et al. Glioblastoma in Adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) Consensus Review on Current Management and Future Directions. Neuro Oncol. 2020;22;8:1073-1113. doi:10.1093/neuonc/noaa106.
5. Burth S., Kickingereder P., Eidel O., Tichy D., Bonekamp D., Weberling L., Wick A., Löw S., Hertenstein A., Nowosielski M., Schlemmer H.P., Wick W., Bendszus M., Radbruch A. Clinical Parameters Outweigh Diffusion- and Perfusion-Derived MRI Parameters in Predicting Survival in Newly Diagnosed Glioblastoma. Neuro Oncol. 2016;18;12:1673-1679. doi: 10.1093/neuonc/now122.
6. Molinaro A.M., Hervey-Jumper S., Morshed R.A., Young J., Han S.J., Chunduru P., Zhang Y., Phillips J.J., Shai A., Lafontaine M., Crane J., Chandra A., Flanigan P., Jahangiri A., Cioffi G., Ostrom Q., Anderson J.E., Badve C., Barnholtz-Sloan J., Sloan A.E., Erickson B.J., Decker P.A., Kosel M.L., LaChance D., Eckel-Passow J., Jenkins R., Villanueva-Meyer J., Rice T., Wrensch M., Wiencke J.K., Oberheim Bush N.A., Taylor J., Butowski N., Prados M., Clarke J., Chang S., Chang E., Aghi M., Theodosopoulos P., McDermott M., Berger M.S. Association of Maximal Extent of Resection of Contrast-Enhanced and Non-Contrast-Enhanced Tumor with Survival Within Molecular Subgroups of Patients with Newly Diagnosed Glioblastoma. JAMA Oncol. 2020;6;4:495-503. doi: 10.1001/jamaoncol.2019.6143. Erratum in: JAMA Oncol. 2020;6;3:444.
7. Kasper J., Hilbert N., Wende T., Fehrenbach M.K., Wilhelmy F., Jähne K., Frydrychowicz C., Hamerla G., Meixensberger J., Arlt F. On the Prognosis of Multifocal Glioblastoma: An Evaluation Incorporating Volumetric MRI. Curr Oncol. 2021;28;2:1437-1446. doi: 10.3390/curroncol28020136.
8. Ma R., Chari A., Brennan P.M., Alalade A., Anderson I., Solth A., Marcus H.J., Watts C., British Neurosurgical Trainee Research Collaborative. Residual Enhancing Disease after Surgery for Glioblastoma: Evaluation of Practice in the United Kingdom. Neurooncol Pract. 2018;5;2:74-81. doi: 10.1093/nop/npx023.
9. Wang P., Li J., Diao Q., Lin Y., Zhang J., Li L., Yang G., Fang X., Li X., Chen Y., Zheng L., Lu G. Assessment of Glioma Response to Radiotherapy Using 3D Pulsed-Continuous Arterial Spin Labeling and 3D Segmented Volume. Eur. J. Radiol. 2016;85;11:1987-1992. doi: 10.1016/j.ejrad.2016.08.009.
10. Batalov A.I., Zakharova N.Ye., Pogosbekyan E.L., Fadeyeva L.M., Goryaynov S.A., Bayev A.A., Shults Ye.I., Chelushkin D.M., Potapov A.A., Pronin I.N. Non-Contrast ASL Perfusion in Preoperative Diagnosis of Supratentorial Gliomas. Zhurnal Voprosy Neyrokhirurgii Imeni N.N. Burdenko = Burdenko’s Journal of Neurosurgery. 2018;82;6:15‑22. DOI 10.17116/neiro20188206115.
11. Marl H., Ertekin E., Tunçyürek Ö., Özsunar Y. Effects of Susceptibility Artifacts on Perfusion MRI in Patients with Primary Brain Tumor: A Comparison of Arterial Spin-Labeling versus DSC. AJNR Am. J. Neuroradiol. 2020;41;2:255-261. doi: 10.3174/ajnr.A6384.
12. Soni N., Dhanota D.P.S., Kumar S., Jaiswal A.K., Srivastava A.K. Perfusion MR Imaging of Enhancing Brain Tumors: Comparison of Arterial Spin Labeling Technique with Dynamic Susceptibility Contrast Technique. Neurol. India. 2017;65;5:1046-1052. doi: 10.4103/neuroindia.
13. Jovanovic M., Radenkovic S., Stosic-Opincal T., Lavrnic S., Gavrilovic S., Lazovic-Popovic B., Soldatovic I., Maksimovic R. Differentiation between Progression and Pseudoprogresion by Arterial Spin Labeling MRI in Patients with Glioblastoma Multiforme. J. BUON. 2017;22;4:1061-1067.
14. Xu Q., Liu Q., Ge H., Ge X., Wu J., Qu J., Xu K. Tumor Recurrence Versus Treatment Effects in Glioma: A Comparative Study of three Dimensional Pseudo-Continuous Arterial Spin Labeling and Dynamic Susceptibility Contrast Imaging. Medicine (Baltimore). 2017;96;50:e9332. doi: 10.1097/MD.0000000000009332.
15. Lindner T., Ahmeti H., Lübbing I., Helle M., Jansen O., Synowitz M., Ulmer S. Intraoperative Resection Control Using Arterial Spin Labeling - Proof of Concept, Reproducibility of Data and Initial Results. Neuroimage Clin. 2017;15:136-142. doi: 10.1016/j.nicl.2017.04.021.
16. Rebrikova V.A., Sergeev N.I., Padalko B.V., Kotlyarov P.M., Solodkiy V.A. The Use of Mr Perfusion in Assessing the Efficacy of Treatment for Malignant Brain Tumors. Zhurnal Voprosy Neyrokhirurgii Imeni N.N. Burdenko = Burdenko’s Journal of Neurosurgery. 2019;83;4:113-120 (In Russ.).
17. Kotlyarov P.M., Nudnov N.V., Vinikovetskaya A.V., Egorova E.V., Albitskiy I.A., Ovchinnikov V.I., Gombolevskiy V.A. Ct Perfusion in Diagnostic and Estimation Treatment Efficacy of Malignant Cranial Gliomas. Luchevaya Diagnostika i Terapiya = Diagnostic Radiology and Radiotherapy. 2015;2:63-69. (In Russ.).
18. Brown T.J., Brennan M.C., Li M., Church E.W., Brandmeir N.J., Rakszawski K.L., Patel A.S., Rizk E.B., Suki D., Sawaya R., Glantz M. Association of the Extent of Resection with Survival in Glioblastoma: A Systematic Review and Meta-Analysis. JAMA Oncol. 2016;2;11:1460-1469. doi: 10.1001/jamaoncol.2016.1373.
19. Garcia-Ruiz A., Naval-Baudin P., Ligero M., Pons-Escoda A., Bruna J., Plans G., Calvo N., Cos M., Majós C., Perez-Lopez R. Precise Enhancement Quantification in Post-Operative MRI as an Indicator of Residual Tumor Impact Is Associated with Survival in Patients with Glioblastoma. Sci Rep. 2021;11;1:695. doi: 10.1038/s41598-020-79829-3.
20. Laurent D., Freedman R., Cope L., Sacks P., Abbatematteo J., Kubilis P., Bova F., Rahman M. Impact of Extent of Resection on Incidence of Postoperative Complications in Patients with Glioblastoma. Neurosurgery. 2020;86;5:625-630. doi: 10.1093/neuros/nyz313.
21. Khashbat D., Harada M., Abe T., Ganbold M., Iwamoto S., Uyama N., Irahara S., Otomi Y., Kageji T., Nagahiro S. Diagnostic Performance of Arterial Spin Labeling for Grading Nonenhancing Astrocytic Tumors. Magn. Reson. Med. Sci. 2018;17;4:277-282. doi: 10.2463/mrms.mp.2017-0065.
22. Zeng Q., Jiang B., Shi F., Ling C., Dong F., Zhang J. 3D Pseudocontinuous Arterial Spin-Labeling MR Imaging in the Preoperative Evaluation of Gliomas. AJNR Am. J. Neuroradiol. 2017;38;10:1876-1883. doi: 10.3174/ajnr.A5299.
23. Falk Delgado A., De Luca F., van Westen D., Falk Delgado A. Arterial Spin Labeling MR Imaging for Differentiation between High- and Low-Grade Glioma-a Meta-Analysis. Neuro Oncol. 2018;20;11:1450-1461. doi:10.1093/neuonc/noy095.
24. Bag A.K., Cezayirli P.C., Davenport J.J., et al. Survival Analysis in Patients with Newly Diagnosed Primary Glioblastoma Multiforme Using Pre- and Post-Treatment Peritumoral Perfusion Imaging Parameters. J. Neurooncol. 2014;120;2:361‐370. doi:10.1007/s11060-014-1560-9.
25. Bunak M.S., Stepanova YE.A., Stashuk G.A. The Potentiality of Arterial Spins Labeling (ASL) Magnetic Resonance Perfusion Technique for the Diagnosis of Glioblastoma Residual Tissue. Almanakh Klinicheskoy Meditsiny = Almanac of Clinical Medicine. 2021;49;1:41–48. doi: 10.18786/2072-0505-2021-49-012 (In Russ.).
26. Kumar N., Kumar R., Sharma S.C., Mukherjee A., Khandelwal N., Tripathi M., Miriyala R., Oinam A.S., Madan R., Yadav B.S., Khosla D., Kapoor R. Impact of Volume of Irradiation on Survival and Quality of Life in Glioblastoma: a Prospective, Phase 2, Randomized Comparison of RTOG and MDACC Protocols. Neurooncol Pract. 2020;7;1:86-93. doi: 10.1093/nop/npz024.
27. Ali M.Y., Oliva C.R., Noman A.S.M., Allen B.G., Goswami P.C., Zakharia Y., Monga V., Spitz D.R., Buatti J.M., Griguer C.E. Radioresistance in Glioblastoma and the Development of Radiosensitizers. Cancers (Basel). 2020;12;9:2511. doi: 10.3390/cancers12092511.
28. Simpson J.R., Horton J., Scott C., Curran W.J., Rubin P., Fischbach J., Isaacson S., Rotman M., Asbell S.O., Nelson J.S., et al. Influence of Location and Extent of Surgical Resection on Survival of Patients with Glioblastoma Multiforme: Results of Three Consecutive Radiation Therapy Oncology Group (RTOG) Clinical Trials. Int. J. Radiat. Oncol. Biol. Phys. 1993;26;2:239-44. doi: 10.1016/0360-3016(93)90203-8.
29. Al-Holou W.N., Hodges T.R., Everson R.G., Freeman J., Zhou S., Suki D., Rao G., Ferguson S.D., Heimberger A.B., McCutcheon I.E., Prabhu S.S., Lang F.F., Weinberg J.S., Wildrick D.M., Sawaya R. Perilesional Resection of Glioblastoma Is Independently Associated With Improved Outcomes. Neurosurgery. 2020;86;1:112-121. doi: 10.1093/neuros/nyz008.
PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 20.07.2022. Accepted for publication: 25.09.2022.
Medical Radiology and Radiation Safety. 2022. Vol. 67. № 6
DOI:10.33266/1024-6177-2022-67-6-74-78
S.N. Prokhorov1, N.V. Kochergina1,2, A.D. Ryzhkov1,2,A.S. Krylov1, A.B. Bludov1
Comparison of Bone Scan, X-Ray, Spect/Ct and Mri in the Diagnosis
of Bone Metastases in Solid Tumors
1 N.N. Blokhin National Medical Research Center of Oncology, Moscow, Russia
2 Russian Medical Academy of Continuous Professional Education, Moscow, Russia
Contact person: Sergei Nikolaevich Prokhorov, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Purpose: Comparison of the diagnostic performance of osteoscintigraphy (OSG), X-Ray, the presence of OSG and X-ray, SPECT/CT and a combination of MRI sequences in metastatic lesions of the bones of the skeleton.
Material and methods: The study included 24 patients with bone metastases. The above research methods were used.
Results: The sensitivity of X-ray, Bone scan, X-ray combined with bone scan, SPECT/CT, T1+DWI, T1+STIR+DWI, T1+T2+STIR+DWI, T1+T2+STIR was 10, 30, 24, 31, 99, 99, 99, 95 % respectively, specificity – 37, 12, 59, 74, 87, 87, 87, 71 % respectively. According to the results of pairwise comparison of true-positive results in groups according to the Wilcoxon test: X-ray < OSG = X-ray + OSG = SPECT / CT < MRI + DWI > MRI.
Conclusion: It follows from the results that the choice of diagnostic method for suspected bone metastases should be determined by the clinical context. MRI will help detect bone metastases at earlier stages of development, and the use of other diagnostic methods included in the study should be accompanied by an understanding of the limitations that are imposed in their use.
Keywords: bone metastases, SPECT/CT, Skeletal scintigraphy, X-ray, MRI, comparison study
For citation: Prokhorov SN, Kochergina NV, Ryzhkov AD,Krylov AS, Bludov AB. Comparison of Bone Scan, X-Ray, Spect/Ct and Mri in the Diagnosis of Bone Metastases in Solid Tumors. Medical Radiology and Radiation Safety. 2022;67(6):74–78. (In Russian). DOI:10.33266/1024-6177-2022-67-6-74-78
References
1. Hernandez R.K., Wade S.W., Reich A., Pirolli M., Liede A., Lyman G.H. Incidence of Bone Metastases in Patients with Solid Tumors: Analysis of Oncology Electronic Medical Records in the United States. BMC Cancer. 2018;18;1:44.
2. Nakanishi K., Kobayashi M., Nakaguchi K., Kyakuno M., Hashimoto N., Onishi H., Maeda N., Nakata S., Kuwabara M., Murakami T., Nakamura H. Whole-Body MRI for Detecting Metastatic Bone Tumor: Diagnostic Value of Diffusion-Weighted Images. Magn. Reson. Med. Sci. 2007;6;3:147-155.
3. Tabotta F., Jreige M., Schaefer N., Becce F., Prior J.O., Nicod Lalonde M. Quantitative Bone SPECT/CT: High Specificity for Identification of Prostate Cancer Bone Metastases. BMC Musculoskelet Disord. 2019;20;1:619.
4. Rager O., Lee-Felker S.A., Tabouret-Viaud C., Felker E.R., Poncet A., Amzalag G., Garibotto V., Zaidi H., Walter M.A. Accuracy of Whole-Body HDP SPECT/CT, FDG PET/CT, and Their Combination for Detecting Bone Metastases in Breast Cancer: an Intra-Personal Comparison. Am. J. Nucl. Med. Mol. Imaging. 2018;8;3:159-168.
5. Yang H.L., Liu T., Wang X.M., Xu Y., Deng S.M. Diagnosis of Bone Metastases: a Meta-Analysis Comparing ¹⁸FDG PET, CT, MRI and Bone Scintigraphy. Eur. Radiol. 2011;21;12:2604-2617.
6. Liu T., Wang S., Liu H., Meng B., Zhou F., He F., Shi X., Yang H. Detection of Vertebral Metastases: a Meta-Analysis Comparing MRI, CT, PET, BS and BS with SPECT. J. Cancer Res. Clin. Oncol. 2017;143;3:457-465.
7. Sergeyev N.I. Radiation Methods in the Diagnosis of Metastatic Lesions of the Skeletal System. Meditsinskaya Vizualizatsiya = Medical Visualization. 2011;4:46 (In Russ.).
8. Sergeyev N.I. Rol i Mesto Sovremennykh Metodov Vizualizatsii v Diagnostike i Otsenke Rezultatov Konservativnogo Lecheniya Bolnykh s Metastaticheskim Porazheniyem Skeleta = The Role and Place of Modern Imaging Methods in the Diagnosis and Evaluation of the Results of Conservative Treatment of Patients with Metastatic Skeletal Lesions. Extended Abstract of Doctor’s thesis in Medicine. 2017 (In Russ.).
9. Glushkov E.A., et al. Efficiency of SPECT/CT in Detecting Bone Metastases in Breast and Prostate Cancer. Sibirskiy Onkologicheskiy Zhurnal = Siberian Journal of Oncology. 2015;6:19-25 (In Russ.).
10. Petrova A.D. Otsenka Effektivnosti Lekarstvennogo Lecheniya Metastazov v Kostyakh u Bolnykh Rakom Molochnoy Zhelezy = Evaluation of the Effectiveness of the Treatment of Bone Metastases in Patients with Breast Cancer. Extended Abstract of Doctor’s thesis in Medicine. 2014 (In Russ.).
11. Kochergina N.V., Prokhorov S.N., Bludov A.B., Ryzhkov A.D., Fedorova A.V., Spirina O.G. The Effectiveness of MRI in Determining the Presence of Bone Metastases in a Controversial Result of SPECT/CT. Luchevaya Diagnostika i Terapiya = Diagnostic Radiology and Radiotherapy. 2020;3;3:93-100 (In Russ.).
12. Munk P.L., Poon P.Y., O’Connell J.X., Janzen D., Coupland D., Kwong J.S., Gelmon K., Worsley D. Osteoblastic Metastases from Breast Carcinoma with False-Negative Bone Scan. Skeletal Radiol. 1997;26;7:434-437.
13. Ryzhkov A.D., Krylov A.S., Shchipakhina Ya.A., Kochergina N.V., Komanovskaya D.A., Bilik M.Ye. Diagnostics of Skeletal Metastases with Using SPECT/CT. Luchevaya Diagnostika i Terapiya = Diagnostic Radiology and Radiotherapy. 2018;1;3:21-26 (In Russ.).
PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 20.07.2022. Accepted for publication: 25.09.2022.
Medical Radiology and Radiation Safety. 2022. Vol. 67. № 6
DOI:10.33266/1024-6177-2022-67-6-86-95
L.I. Baranov
Digital Twin as a Product of the Information Society.
New Opportunities for Research in the Field of Medical Radiology
A.I. Burnazyan Federal Medical Biophysical Center, Moscow, Russia
Contact person: L.I. Baranov, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
ABSRACT
Introduction. The development of mass communications and Internet access in Russia and the World as a prerequisite for digitalization.
Information society. Knowledge society. Digital environment. Information space.
The concept of digital twins. Unified system of identification and authentication (ESIA). Digital profile.
Some prospects for improving the organization of medical research, including in the field of medical radiology, in the context of the deve-
lopment of medical information space.
Keywords: information space, digitalization, digital twin, medical radiology,development prospects
For citation: Baranov LI. Digital Twin as a Product of the Information Society. New Opportunities for Research in the Field of Medical Radiology. Medical Radiology and Radiation Safety. 2022;67(6):86–95. (In Russian). DOI:10.33266/1024-6177-2022-67-6-86-95
References
1. Lazar M.G. Digitization of Society, Its Consequences and Population Control. Problemy Deyatel’nosti Uchenyh i Kollektivov. 2018;4:170-181
(In Russ.).
2. Ubiquitous Computing. Computerworld Rossiya. 2001;14. URL: https://www.osp.ru/cw/2001/14/40005. (Date of Access: 12.09.2022) (In Russ.).
3. URL: https://www.kommersant.ru/doc/3751639. (Date of Access: 12.09.2022) (In Russ.).
4. URL: https://ria.ru/20110919/439857350.html. (Date of Access: 12.09.2022) (In Russ.).
5. URL: https://rskrf.ru/news/smartfony-v-rossii-i-mire-kak-oni-menyalis/. (Date of Access: 12.09.2022) (In Russ.).
6. Sales of Smartphones Increased by more than 25% in Money Terms and Reached about 720 Billion Rubles. 2011. URL: https://www.tadviser.ru/index.php/Статья:Смартфоны_(рынок_России). (Date of Access: 12.09.2022) (In Russ.).
7. URL: https://tass.ru/obschestvo/9508331. (Date of Access: 12.09.2022) (In Russ.).
8. Itinson K.S. Web 1.0, web 2.0, web 3.0: Stages of Development of Web Technologies and their Impact on Education. Karelskiy Nauchnyy Zhurnal = Karelian Scientific Journal. 2020;9;1:19-21. DOI: 10.26140/knz4-2020-0901-0005. (In Russ.).
9. Nikolaev A. Evolution to Web 4.0. A Brief History of the Development of Internet Technologies Web 1.0, Web 2.0, Web 3.0. Benefits of Web 4.0. URL: https://vc.ru/u/739868-andrey-nikolaev/238951-evolyuciya-do-web-4-0-kratkaya-istoriya-razvitiya-internet-tehnologiy-web-1-0-web-2-0-web-3-0-preimushchestva-web-4-0. (Date of Access: 12.09.2022) (In Russ.).
10. URL: https://trends.rbc.ru/trends/industry/629070a99a79470ec4bdb673. (Date of Access: 12.09.2022) (In Russ.).
11. Melnikova M.S., Yakovlev I.P. The Term “Social Network” in Sociological Theories and Internet Practices Era. Vestnik of Saint Petersburg University. 2014;1:254-257 (In Russ.).
12. Zhulikov S.Ye., Zhulikova O.V. Phenomenon of Social Networks: from Mathematical Theory to Social Realization. Vestnik Tambovskogo Gosudarstvennogo Universiteta. Seriya: Yestestvennyye i Tekhnicheskiye Nauki = Tambov University Reports. Series: Natural and Technical Sciences. 2012;17;1:157-158 (In Russ.).
13. URL: https://datareportal.com/reports/digital-2022-global-overview-report. (Date of Access: 13.09.2022).
14. URL: https://www.cnews.ru/news/top/2022-08-12_tsb_nachnet_podklyuchat_banki. (Date of Access: 12.09.2022) (In Russ.).
15. URL: https://www.vedomosti.ru/finance/articles/2019/09/19/811614-kazhdii-pyatii-platezh-po-telefonu. (Date of Access: 12.09.2022) (In Russ.).
16. Alekseyeva I.Yu. The Emergence of the Ideology of the Information Society. Informatsionnoye Obshchestvo = Information Society. 1999;l:30-35
(In Russ.).
17. Volfson Yu.R., Volchina A.Ye. The Difficulty of Information Society Theories Classification. Sovremennyye Issledovaniya Sotsialnykh Problem = Modern Research of Social Problems. 2017;8;3:80-110 (In Russ.).
18. Towards Knowledge Societies. UNESCO World Report. Paris, UNESCO, 2005. URL: https://unesdoc.unesco.org/ark:/48223/pf0000141843_rus. (Date of Access: 13.09.2022) (In Russ.).
19. Klimova A.B. From the Information Society to the Knowledge-Based Society. Diskussiya = Discussion. 2016;7:73-79 (In Russ.).
20. Bagirova K.E. From the Information Society to the Knowledge Society. Izvestiya Saratovskogo Universiteta. Novaya Seriya: Sotsiologiya. Politologiya = Izvestiya of Saratov University. Sociology. Politology. 2015;15;1:29-35 (In Russ.).
21. Strategy for the Development of the Information Society in Russia. Informatsionnoye Pravo. 2007;3:34-43 (In Russ.).
22. URL: https://digital.gov.ru/ru/activity/programs/1/. (Date of Access: 13.09.2022) (In Russ.).
23. On the Strategy for the Development of the Information Society in the Russian Federation for 2017 – 2030. Decree of the President of the Russian Federation of 09.05.2017 No. 203 (In Russ.).
24. On Information, Information Technologies and Information Protection. Federal Law of July 27, 2006 No. 149-FZ (In Russ.).
25. On Approval of the Clarifications (Guidelines) on the Development of Regional Projects Within the Framework of the Federal Projects of the National Program “Digital Economy of the Russian Federation”. Order of the Ministry of Telecom and Mass Communications of Russia Dated 08/01/2018 No. 428. (In Russ.).
26. Fink Ye.A. To the Problem of The Society Informational Sphere Structure. Omskiy Nauchnyy Vestnik = Omsk Scientific Bulletin. 2010;6:85-87 (In Russ.).
27. Mukhamedova L.I. Sotsialnaya Informatsiologiya = Social Informatiology: Dictionary. Ed. Popov V.D. Moscow Publ., 2007. 172 p. (In Russ.).
28. Grieves M. Digital Twin: Manufacturing Excellence Through Virtual Factory Replication. A Whitepaper. 2014. URL: https://www.researchgate.net/publication/275211047_Digital_Twin_Manufacturing_Excellence_through_Virtual_Factory_Replication. (Date of Access: 13.09.2022).
29. Prokhorov A., Lysachev M. Tsifrovoy Dvoynik. Analiz, Trendy, Mirovoy Opyt = Digital twin. Analysis, Trends, World Experience. Moscow Publ., 2020. 401 p. (In Russ.).
30. Gonzalez С. 6 Questions with Michael Grieves on the Future of Digital Twins. 05.01.2021. URL: https://www.researchgate.net/publication/275211047_Digital_Twin_Manufacturing_Excellence_through_Virtual_Factory_Replication. (Date of Access: 13.09.2022).
31. Vishnevskiy K.O., Gokhberg L.M., Dementyev V.V., et al. Tsifrovyye Tekhnologii v Rossiyskoy Ekonomike = Digital Technologies in the Russian Economy. National Research. Moscow Publ., 2021. 116 p. DOI: 10.17323/978-5-7598-2199-1 (In Russ.).
32. Rosstandart Takes Part in the ARMY-2022 Forum. URL: https://www.rst.gov.ru/portal/gost/home/presscenter/news/newsRST/redirect/news/1/6333. (Date of Access: 13.09.2022) (In Russ.).
33. Kamel Boulos M.N., Zhang P. Digital Twins: From Personalised Medicine to Precision Public Health. J. Pers. Med. 2021;11;8:745. DOI: 10.3390/jpm11080745.
34. URL: https://www.interfax.ru/russia/787585. (Date of Access: 13.09.2022) (In Russ.).
35. On the Federal State Information System “Unified System of Identification and Authentication in the Infrastructure Providing Information and Technological Interaction of Information Systems Used to Provide State and Municipal Services in Electronic Form”. Decree of the Government of the Russian Federation of November 28, 2011 No. 977 (In Russ.).
36. URL: https://digital.gov.ru/ru/documents/6182/. (Date of Access: 13.09.2022) (In Russ.).
37. URL: https://www.kaspersky.ru/resource-center/definitions/what-is-a-digital-footprint. (Date of Access: 13.09.2022) (In Russ.).
38. Antroptseva I.O. Digital Profile as an Object of Public Digital Financial Control. Finansovoye Pravo. 2022;5:2-4 (In Russ.).
39. On Conducting an Experiment to Improve the Quality and Connectivity of Data Contained in State Information Resources. Decree of the Government of the Russian Federation of 06/03/2019 N 710 (In Russ.).
40. URL: https://minzdrav.gov.ru/news/2022/06/02/18814-pervyy-zamestitel-ministra-zdravoohraneniya-rossii-vladimir-zelenskiy-rasskazal-o-sozdanii-domena-zdravoohranenie. (Date of Access: 13.09.2022) (In Russ.).
41. On the Basics of Protecting the Health of Citizens in the Russian Federation. Federal Law of November 21, 2011 N 323-FZ (In Russ.).
42. Question: What Is Meant by Information Resource? (Prepared for the ConsultantPlus System, 2022). ConsultantPlus Reference Legal System. (Date of Access: 13.09.2022) (In Russ.).
43. URL: https://minzdrav.gov.ru/poleznye-resursy/natsproektzdravoohraneni. (In Russ.).
44. URL: https://minzdrav.gov.ru/poleznye-resursy/natsproektzdravoohranenie/tsifra. (Date of Access: 13.09.2022) (In Russ.).
45. On the Creation of a Unified Departmental Medical Information and Analytical System at the Federal Medical and Biological Agency. Order of the Federal Medical and Biological Agency of Russia dated October 7, 2020 N 286 (In Russ.).
46. On the Unified State Information System in the Field of Healthcare. Decree of the Government of the Russian Federation of 09.02.2022 N 140 (In Russ.).
47. Syroyezhina Ye.V., Poliyevskiy S.A., Makeyeva V.S. High-Altitude Extreme Radiation, or Sport-Tourist “Chernobyl”. Vestnik Chelyabinskogo Gosudarstvennogo Universiteta = Vestnik Chelyabinskogo Gosudarstvennogo Universiteta. 2013;34:121-125 (In Russ.).
48. URL: https://mintrans.gov.ru/press-center/branch-news/1819. (Date of Access: 13.09.2022) (In Russ.).
PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 20.07.2022. Accepted for publication: 25.09.2022.
Medical Radiology and Radiation Safety. 2022. Vol. 67. № 6
DOI:10.33266/1024-6177-2022-67-6-79-85
I.Yu. Petrakova1, I.E. Tyurin2,3, M.F. Gubkina1,4
Visualization of the Pathology of the Chest Organs in Children
and the Possibility of Reducing Radiation Exposure
1Central Research Institute of Tuberculosis, Moscow, Russia
2N.N. Blokhin National Medical Research Center of Oncology, Moscow, Russia
3Russian Medical Academy of Continuous Professional Education, Moscow, Russia
4N.I. Pirogov Russian National Research Medical University, Moscow, Russia
Contact person: I.Yu. Petrakova, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
СОNTENTS
Introduction
Possibilities of alternative imaging methods without the use of ionizing radiation
Possibilities of optimizing the radiation load in diagnostic methods using ionizing radiation
Features of the organization of work during the examination of children and anesthesiological support
Conclusion
Keyworlds: children, radiation load, chest, visualization
For citation: Petrakova IYu, Tyurin IE, Gubkina MF. Visualization of the Pathology of the Chest Organs in Children and the Possibility of Reducing Radiation Exposure. Medical Radiology and Radiation Safety. 2022;67(6):79–85. (In Russian). DOI:10.33266/1024-6177-2022-67-6-79-85
References
1. Communicating Radiation Risks in Paediatric Imaging // World Health Organization. 2016. URL: http:// www.who.int/ (Date of Access: 10.05.2022).
2. Barkovskiy A.N., Akhmatdinov Ruslan R., Akhmatdinov Rustam R., et al. Radiation Doses of the Population of the Russian Federation in 2019. Information Collection. St. Petersburg Publ., 2020. 70 p. (In Russ.).
3. Brenner D., Elliston C., Hall E., Berdon W. Estimated Risks of Radiation-Induced Fatal Cancer from Pediatric CT. AJR Am. J. Roentgenol. 2001;176:289-296. https://doi.org /10.2214/ ajr.176.2.1760289.
4. Berrington de González A., Mahesh M., Kim K.P., Bhargavan M., Lewis R., Mettler F., et al. Projected Cancer Risks from Computed Tomographic Scans Performed in the United States in 2007. Arch. Intern. Med. 2009;169;22:2071-2077. https://doi.org /10.1001/archinternmed.2009.440.
5. Hendee W.R., O’Connor MK. Radiation Risks of Medical Imaging: Separating Fact from Fantasy. Radiology 2012;264:312-321.
6. URL: http:// www.epi-ct.iarc.fr. (Date of Access: 11.05.2022).
7. Meulepas J.M., Ronckers C.M., Smets A.M.J.B., et al. Radiation Exposure from Pediatric CT Scans and Subsequent Cancer Risk in the Netherlands. J. Natl. Cancer Inst. 2019;111;3:256-263. https://doi.org /10.1093/jnci/djy104.
8. Nikkilä A., Raitanen J., Lohi O., Auvinen A. Radiation Exposure from Computerized Tomography and Risk of Childhood Leukemia: Finnish Register-Based Case-Control Study of Childhood Leukemia (FRECCLE). Haematologica. 2018;103;11:1873-1880. https://doi.org /10.3324/haematol.2018.187716.
9. Neklyudova G.V., Naumenko Zh.K.. Ultrasound Diagnostic Opportunities in Pulmonology. Pulmonologiya = Russian Pulmonology Journal. 2017;27;2:283-290. https://doi.org/10.18093/0869-0189-2017-27-2-283-290 (In Russ.).
10. Lakhin R.Ye., Shchegolev A.V., Zhirnova Ye.A., et al. Characteristics of Ultrasound Signs in the Diagnosis of the Volume and Nature of Lung Damage. Vestnik Intensivnoy Terapii Imeni A.I. Saltanova = Annals of Critical Care. 2016;4:5–11 (In Russ.).
11. Stepanova O.A., Safina A.I. Ultrasound Diagnostics in Neonatal Intensive Care and Intensive Care Units. Vestnik Sovremennoy Klinicheskoy Meditsiny = The Bulletin of Contemporary Clinical Medicine. 2014;6:92-97 (In Russ.).
12. Glagolev N.A. Complex (CT and Ultrasound) Detection of Peripheral Neoplasms of the Chest. Pulmonologiya = Russian Pulmonology Journal. 2007;5:114-120. https://doi.org/10.18093/0869-0189-2007-0-5-114-120
(In Russ.).
13. Bakhodurov D.T., Ibodov Kh.I., Rofiyev R.R., et al. Ultrasound Scanning as an Effective Way to Diagnose Exudative Pleurisy in Children. Vestnik Poslediplomnogo Obrazovaniya v Sfere Zdravookhraneniya = Scientific and Practical Journal of Tajik Institute of Post-Graduate Education of Medical Staff. 2015;2:18-21 (In Russ.).
14. Bakhodurov D.T., Ibodov Kh.I., Rofiyev R.R., et al. The Possibilities of Ultrasound Imaging in Complex Diagnostics of Neonatal Lung Diseases. Trudnyy Patsiyent = Difficult Patient. 2017;15;8-9:32-39 (In Russ.).
15. Petrikov S.S., Popugayev K.A., Khamidova L.T., et al. First Experience of Lung Ultrasound Application in Patients with Acute Viral Infection Caused by SARS-CoV-2. Meditsinskaya Vizualizatsiya = Medical Visualization. 2020;24;2:50-62. https://doi.org/10.24835/1607-0763-2020-2-50-62 (In Russ.).
16. Strokova L.A., Yegorov Ye.Yu. Experience in Conducting Lung Ultrasound in Community-Acquired Pneumonia COVID-19. Luchevaya Diagnostika i Terapiya = Diagnostic Radiology and Radiotherapy. 2020;11;2:99-106. https://doi.org/10.22328/2079-5343-2020-11-2-99-106 (In Russ.).
17. Denina M., Scolfaro C., Silvestro E., et al. Lung Ultrasound in Children With COVID-19. Pediatrics. 2020;146;1: e20201157. https://doi.org/10.1542/peds.2020-1157.
18. Chuyashenko Ye.V., Zavadovskaya V.D., Ageyeva T.S., et al. Lung Ultrasonography in Pneumonia. Sibirskiy Zhurnal Klinicheskoy i Eksperimentalnoy Meditsiny = The Siberian Journal of Clinical and Experimental Medicine. 2019;34;1:78-84. https://doi.org/10.29001/2073-8552-2019-34-1-78-84 (In Russ.).
19. Yan C., Hui R., Lijuan Z., Zhou Y. Lung Ultrasound vs. Chest X-Ray in Children with Suspected Pneumonia Confirmed by Chest Computed Tomography: A Retrospective Cohort Study. Exp. Ther. Med. 2020;19;2:1363-1369. https://doi.org /10.3892/etm.2019.8333.
20. Safonov D.V., Dianova T.I., Rodionov V.A., Gerasimova L.A. X-Ray-Ultrasound Comparisons and Dynamic Echographic Control in Pneumonia in Children. Nauchnyy Zhurnal KubGAU = Scientific Journal of KubSAU. 2014;104:1591-1605 (In Russ.).
21. Tukhbatullin M.G., Valiyev R.Sh., Shamshurova Ye.S.. X-ray Ultrasound Picture in Infiltrative Pulmonary Tuberculosis. Prakticheskaya Meditsina = Practical Medicine. 2014;3:139-142. URL: https://cyberleninka.ru/article/n/rentgeno-ultrazvukovaya-kartina-pri-infiltrativnom-tuberkuleze (In Russ.).
22. Gulla K.M., Gunathilaka G., Jat K.R., Sankar J., Karan M., Lodha R., Kabra S.K. Utility and Safety of Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration and Endoscopic Ultrasound with an Echobronchoscope-Guided Fine Needle Aspiration in Children with Mediastinal Pathology. Pediatr Pulmonol. 2019;54;6:881-885. https://doi.org /10.1002/ppul.24313.
23. Gilbert C.R., Chen A., Akulian J.A., Lee H.J., Wahidi M., Argento A.C., Tanner N.T., Pastis N.J., Harris K., Sterman D., Toth J.W., Chenna P.R., Feller-Kopman D., Yarmus L. The Use of Convex Probe Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in a Pediatric Population: a Multicenter Study. Pediatr. Pulmonol. 2014;49;8:807-815. https://doi.org /10.1002/ppul.22887.
24. Filatova T.I. Informativeness of Computer and Magnetic Resonance Imaging in the Diagnosis of Enterogenic Mediastinal Cysts. Byulleten Meditsinskikh Internet-Konferentsiy = Bulletin of Medical Internet Conferences. 2013;2. URL: https:// cyberleninka.ru/article/n/informativnost-kompyuternoy-i-magnitno-rezonansnoy-tomografii-v-diagnostike-enterogennyh-kist-sredosteniya (Date of Access: 12.05.2022) (In Russ.).
25. Kotlyarov P.M., Lagkuyeva I.D., Sergeyev N.I., Solodkiy V.A. Magnetic Resonance Imaging for Diagnostics of Lung Diseases. Pulmonologiya = Russian Pulmonology Journal. 2018;28;2:217–223. https://doi.org /10.18093/0869-0189-2018-28-2-217-223 (in Russ.).
26. Kotlyarov P.M., Lagkuyeva I.D., Sergeyev N.I., et al. The Technique of Magnetic Resonance Imaging with Dynamic Contrast Enhancement with Focal Benign Lung Formation. Luchevaya Diagnostika i Terapiya = Diagnostic Radiology and Radiotherapy. 2018;3:69-74. https://doi.org/10.22328/2079-5343-2018-9-3-69-74 (In Russ.).
27. Akhadov T.A., Guryakov S.YU., Ublinskiy M.V. Magnetic Resonance Imaging in Study of Lungs. Meditsinskaya Vizualizatsiya = Medical Visualization. 2019;4:10-23. https://doi.org/10.24835/1607-0763-2019-4-10-23 (In Russ.).
28. Stashuk G.A., Dubrova S.E., Adel Salem Ali Numan. Differential Diagnosis of Intrathoracic Lymph Node Lesions in Lymphomas. Vestnik Rentgenologii i Radiologii = Journal of Radiology and Nuclear Medicine. 2008;4–6:16–24 (In Russ.).
29. Abdel Razek A.A., Elkammary S., Elmorsy A.S., Elshafey M., Elhadedy T. Characterization of Mediastinal Lymphadenopathy with Diffusion-Weighted Imaging. Magn. Reson. Imaging. 2011;29;2:167–172. https://doi.org 10.1016/j.mri.2010.08.002.
30. Sudarkina A.V., Dergilev A.P., Kozlov V.V., et al. Differential Diagnosis of Mediastinal Lymphadenopathy in Lymphoma and Sarcoidosis Using Diffusion-Weighted Magnetic Resonance Imaging. Luchevaya Diagnostika i Terapiya = Diagnostic Radiology and Radiotherapy. 2020;11;3:56-62. https://doi.org/10.22328/2079-5343-2020-11-3-56-62 (In Russ.).
31. Lesnyak V.N., Zhuravleva V.A., Averyanov A.V. The Capabilities of MRI in the Lung Lesions Diagnosis in Patients with COVID-19. Klinicheskaya Praktika = Journal of Clinical Practice. 2020;11;2:51–59. https://doi.org 10.17816/ clinpract34843 (In Russ.).
32. Wielpütz M.O., Puderbach M., Kopp-Schneider A., Stahl M., Fritzsching E., Sommerburg O., Ley S., Sumkauskaite M., Biederer J., Kauczor H.U., Eichinger M., Mall M.A. Magnetic Resonance Imaging Detects Changes in Structure and Perfusion, and Response to Therapy in Early Cystic Fibrosis Lung Disease. Am. J. Respir. Crit. Care Med. 2014;189;8:956-965. https://doi.org/ 10.1164/rccm.201309-1659OC.
33. Pennati F., Roach D.J., Clancy J.P., et al. Assessment of Pulmonary Structure-Function Relationships in Young Children and Adolescents with Cystic Fibrosis by Multivolume Proton-MRI and CT. J. Magn. Reson. Imaging.. 2018;48;2:531-542. https://doi.org/10.1002/jmri.25978.
34. Ciet P., Tiddens H.A., Wielopolski P.A., et al. Magnetic Resonance Imaging in Children: Common Problems and Possible Solutions for Lung and Airways Imaging. Pediatr Radiol. 2015;45;13:1901-1915. https://doi.org/10.1007/s00247-015-3420-y.
35. Roach D.J., Crémillieux Y., Fleck R.J., Brody A.S., Serai S.D., Szczesniak R.D., Kerlakian S., Clancy J.P., Woods J.C. Ultrashort Echo-Time Magnetic Resonance Imaging Is a Sensitive Method for the Evaluation of Early Cystic Fibrosis Lung Disease. Ann. Am. Thorac. Soc. 2016;13;11:1923-1931. https://doi.org/10.1513/AnnalsATS.201603-203OC.
36. Miroshnichenko S.I., Kovalenko Yu.N., Chernetsov V.B. Replacement of Fluorography with Screening Digital Radiography. Poliklinika. 2016;6:19-22 (in Russ).
37. Nikitin M.M. The Possibilities of Digital Tomosynthesis in the Diagnosis of Various Forms of Pulmonary Tuberculosis. Rossiyskiy Elektronnyy Zhurnal Luchevoy Diagnostiki = Russian Electronic Journal of Radiology. 2016;6;1:35–47. https://doi.org/10.18411/a-2016-004 (In Russ.).
38. Kruamak T., Edwards R., Cheng S., et al. Accuracy of Digital Tomosynthesis of the Chest in Detection of Interstitial Lung Disease Comparison with Digital Chest Radiography. Comparative Study. J. Comput. Assist. Tomogr. 2019;43;1:109–114. https://doi.org/10.1097/RCT.0000000000000780.
39. Kim J.H., Lee K.H., Kim K.T., et al. Comparison of Digital Tomosynthesis and Chest Radiography for the Detection of Pulmonary Nodules: Systematic Review and Meta-Analysis. Br. J. Radiol. 2016;89;1068:20160421. https://doi.org/ 10.1259/bjr.20160421.
40. Simonovskaya Kh.Yu., Zaytseva O.V., Sholokhova N.A. Opportunities for Solving Relevant Diagnostic Problems in Pediatrics with the Use of Digital Chest Tomosynthesis. Pediatriya. Zhurnal im. G.N. Speranskogo = Pediatrics Journal Named After G.N. SPERANSKY. 2020;99;2:112-117 (In Russ.).
41. Matkevich Ye.I., Sinitsyn V.Ye., Ivanov I.V. Napravleniya Optimizatsii Luchevoy Nagruzki pri Kompyuternoy Tomografii = Directions of Optimization of Radiation Load in Computed Tomography. Scientific and Practical Guide. Moscow-Voronezh, Elist Publ., 2018. 200 p.
42. Aschoff A.J., Catalano C., Kirchin M.A., Krix M., Albrecht T. Low Radiation Dose in Computed Tomography: the Role of Iodine. Br. J. Radiol. 2017;90;1076:20170079. https://doi.org/ 10.1259/bjr.20170079.
43. Strauss K.J., Goske M.J., Kaste S.C., Bulas D., Frush D.P., Butler P., et al. Image Gently: Ten Steps You Can Take to Optimize Image Quality and Lower CT Dose for Pediatric Patients. AJR American Journal of Roentgenology. 2010;194;4:868–873. https://doi.org/10.2214/AJR.09.4091.
44. Silin A.Yu., Gruzdev I.S., Morozov S.P. The Influence of Model Iterative Reconstruction on the Image Quality in Standard and Low-Dose Computer Tomography of the Chest. Experimental Study. Klinicheskaya Praktika = Journal of Clinical Practice. 2020;11;4:49–54. doi: 10.17816/clinpract34900) (In Russ.).
45. Ichikawa Y., Kitagawa K., Nagasawa N., Murashima S., Sakuma H. CT of the Chest with Model-Based, Fully Iterative Reconstruction: Comparison with Adaptive Statistical Iterative Reconstruction. BMC Med. Imaging. 2013;13:27. https://doi.org/10.1186/1471-2342-13-27.
46. den Harder A.M., Willemink M.J., Budde R.P., Schilham A.M., Leiner T., de Jong P.A. Hybrid and Model-Based Iterative Reconstruction Techniques for Pediatric CT. AJR. Am. J. Roentgenol. 2015;204;3:645-53. https://doi.org/10.2214/AJR.14.12590.
47. Rampinelli C., Origgi D., Vecchi V., Funicelli L., Raimondi S., Deak P., Bellomi M. Ultra-Low-Dose CT with Model-Based Iterative Reconstruction (MBIR): Detection of Ground-Glass Nodules in an Anthropomorphic Phantom Study. Radiol. Med. 2015;120;7:611-617. https://doi.org/ 10.1007/s11547-015-0505-5.
48. Nakajo C., Heinzer S., Montandon S., Dunet V., Bize P., Feldman A., Beigelman-Aubry C. Chest CT at a Dose Below 0.3 mSv: Impact of Iterative Reconstruction on Image Quality and Lung Analysis. Acta. Radiol. 2016;57;3:311-317. https://doi.org/10.1177/0284185115578469.
49. Padole A., Singh S., Ackman J.B., Wu C., Do S., Pourjabbar S., Khawaja R.D., Otrakji A., Digumarthy S., Shepard J.A., Kalra M. Submillisievert Chest CT with Filtered Back Projection and Iterative Reconstruction Techniques. AJR. Am. J. Roentgenol. 2014;203;4:772-781. https://doi.org /10.2214/AJR.13.12312.
50. Sun J., Zhang Q., Hu D., et al. Feasibility Study of Using One-Tenth mSv Radiation Dose in Young Children Chest CT with 80 kVp and Model-Based Iterative Reconstruction. Sci. Rep. 2019;9:12481. https://doi.org/10.1038/s41598-019-48946-z.
51. Villanueva-Meyer J.E., Naeger D.M., Courtier J.L., et al. Pediatric Chest CT at Chest Radiograph Doses: When Is the Ultralow-Dose Chest CT Clinically Appropriate? Emerg. Radiol. 2017;24;4:369-376. https://doi.org /10.1007/s10140-017-1487-5.
52. Kiratli P.Ö., Tuncel M., Bar-Sever Z. Nuclear Medicine in Pediatric and Adolescent Tumors. Semin. Nucl. Med. 2016;46;4:308-323. https://doi.org/10.1053/j.semnuclmed.2016.01.004.
53. Malherbe S.T., Shenai S., Ronacher K., Loxton A.G., Dolganov G., Kriel M., et al. Persisting Positron Emission Tomography Lesion Activity and Mycobacterium Tuberculosis mRNA after Tuberculosis Cure. Nat. Med. 2016;22;10:1094-1100. https://doi.org/10.1038/nm.4177.
54. Chipiga L.A., Zvonova I.A., Ryzhkova D.V., et al. Levels of Patient Exposure and a Potential for Optimization of the Pet Diagnostics in the Russian Federation. Radiatsionnaya Gigiyena = Radiation Hygiene. 2017;10;4:31-43. https://doi.org/10.21514/1998-426X-2017-10-4-31-43 (In Russ.).
55. Petryaykin A.V., Razumovskiy A.Yu., Ublinskiy M.V., et al. Multispiral Computed Tomography with Contrast Enhancement in the Diagnosis of Surgical Diseases of the Thoracic Cavity in Children. Detskaya Khirurgiya = Russian Journal of Pediatric Surgery. 2013;4:9-15 (In Russ.).
56. Khasanova K.A., Tyurin I.E., Ryzhov S.A., Kizhayev Ye.V. Radiation Dose Reduction in Pediatric Computed Tomography. Meditsinskaya Radiologiya i Radiatsionnaya Bezopasnost = Medical Radiology and Radiation Safety. 2019;64;1:38-44. https://doi.org /10.12737/article_5c55fb466d7532.24221014 (In Russ.).
57. Stranzinger E., Schindera S., Cullmann J., Herrmann R., Schmitz S., Wolf R. Pediatric CT of the Lung: Influences on Image Quality. Open Journal of Radiology. 2013;3;1:45-50. https://doi.org /10.4236/ojrad.2013.31007.
58. Schulte-Uentrop L., Goepfert M.S. Anaesthesia or Sedation for MRI in Children. Curr. Opin. Anaesthesiol. 2010;23;4:513–517.
59. Serafini G., Zadra N. Anaesthesia for MRI in the Paediatric Patient . Curr. Opin. Anaesthesiol. 2008;21;4:499–503.
60. Panteleyeva M.V., Ovezov A.M., Kotov A.S., et al. Postoperative Cognitive Dysfunction in Children (Literature Review). RMZH (Russkiy Meditsinskiy Zhurnal). 2018;9:52–56 (In Russ.).
PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 20.07.2022. Accepted for publication: 25.09.2022.
Medical Radiology and Radiation Safety. 2022. Vol. 67. № 6
DOI:10.33266/1024-6177-2022-67-6-96-100
A.P. Ermilov, A.V. Senj
«Hot» particles in the consequences of the Chernobyl accident
LLC «NTC Amplitude»
Abstracn
Eyewitness accounts are presented confirming the «ruthenium» nature of the «Chernobyl» cough – a deterministic radiobiological effect that manifested itself in the spring, summer, early autumn of 1986 and in the spring of 1987 in places of intense fallout from accidental emissions from the Chernobyl nuclear power plant. Research continued, the results of which were published in the article by A.P. Ermilov «The phenomenon of fuel particles in the consequences of the Chernobyl accident» on the open access website of the journal «Medical Radiology and Radiation Safety» [1].
Keywords: Chernobyl nuclear power plant, accident, nuclear fuel, fuel particles, «hot» particles, «volatile» fraction, radiobiological effect
For citation: Ermilov AP, Senj AV. «Hot» particles in the consequences of the Chernobyl accident. Medical Radiology and Radiation Safety. 2022;67(6):96–100. (In Russian). DOI:10.33266/1024-6177-2022-67-6-96-100
References
1. Yermilov A.P. The Phenomenon of Fuel Particles in the Consequences of the Chernobyl Accident. URL: https://medradiol.fmbafmbc.ru/journal_medradiol/abstracts/2021/6/ap_ermilov.pdf. (In Russ.).
2. Degalcev Yu.G., Ponomarev-Stepnoy N.N., Kuznecov V.F. Povedeniye Vysokotemperaturnogo Yadernogo Topliva pri Obluchenii = Behavior of High-Temperature Nuclear Fuel Under Irradiation. Moscow, Energoatomizdat Publ., 1987. P.14, P.10 (In Russ.).
3. Pöllänen R. Highly Radioactive Ruthenium Particles Released from Chernobyl Accident: Particle Characteristics and Radiological Hazard. Radiation Protection Dozimetry. 1997;71;1:23-32.
4. Rolf Falk, Iorma Suomela, Andor Kerekes. A Study of “Hot Particles” Collected in Sweden One Year after the Chernobyl Accident. Proceedings of the 1988 European Aerosol Conference 30 August – 2 September 1988. Pergamon Press, P. 1339-1342.
5. Devell L., Tovedal H., Bergstrom U., Appelgren А., Chissler J., Andersson L. Initial Observations of Fallout from the Reactor Accident at Chernobyl. Nature. 1986;324;6067:192-193.
6. Begichev S. N., Borovoy A. A., Burlakov YE.V., Gavrilov S.L., Dovbenko A.A., Levina A.A., Markushev V.M., Marchenko A.YE., Stroganov A.A., Tataurov A.L. Toplivo reaktora 4-go bloka CHAES = Fuel of the Reactor of the 4th Block of the Chernobyl Nuclear Power Plant. A Quick Guide. IAE-5268/3. Moscow Publ., 1990 (In Russ.).
7. Mashkovich V.P., Kudryavceva A.V. Zashchita ot Ioniziruyushchikh Izlucheniy = Protection from Ionizing Radiation. A Handbook. Moscow, Energoatomizdat Publ., 1995. P. 422 (In Russ.).
8. Mun C., Cantrel L., Madic C. Radiolytyc Oxidation of Ruthenium Oxide Deposits. Nuclear Technology. 2008;164.
9. Madic C., Mun C., Cantrel L. Rewiew of Literature on Ruthenium Behaviour in Nuclear Power Plant Severe Accidents. Nuclear Technology American Nuclear Society. 2017;156;3:332-346. 10.13182/NT156-332. irsn-00177621v2.
10. Khimicheskaya Enciklopediya = Chemical Encyclopedia. Moscow, Publ., 1998 (In Russ.).
11. Kutkov V.N. Radionuclide Air Pollution as a Result of the Accident at the Chernobyl Nuclear Power Plant and Lung Exposure. Section 1. Patologiya Organov Dykhaniya u Likvidatorov Avarii na Chernobylskoy AES = Pathology of the Respiratory Organs in the Liquidators of the Accident at the Chernobyl Nuclear Power Plant. Monograph. Ed / Под ред. Chuchalin A.G., Chernyayev A.L., Vuazen K. Moscow, GRANT Publ., 1998. P. 10-43. ISBN5-89135-051-3 (In Russ.).
PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 20.07.2022. Accepted for publication: 25.09.2022.