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.

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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. 2015. Vol. 60. No. 5. P. 50-58

NUCLEAR MEDICINE

I.P. Aslanidis1, D.M.Pursanova1, O.V. Mukhortova1, A.V. Silchenkov1, O.B. Karyakin2, V.A. Biryukov2, V.I. Shirokorad3

Detection of Prostate Cancer Relapse with 11C-choline PET/CT in Patients after Radical Prostatectomy

1. A.N. Bakoulev Scientific Center for Cardiovascular Surgery, Moscow, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ; 2. A.F. Tsyb Medical Radiological Research Centre, Obninsk, Russia; 3. Moscow City Oncology Hospital No. 62, Moscow, Russia

ABSTRACT

Purpose: To evaluate the diagnostic impact of 11C-choline PET/CT in the detection of recurrent prostate cancer (PCa) in patients with biochemical relapse after radical prostatectomy and to assess the correlation between PSA levels and PET/CT detection rate of PCa relapse.

Methods and materials: 11C-choline PET/CT was performed in 58 patients (age range 50-79) with biochemical relapse after radical prostatectomy. Examinations were performed on PET/CT scanner (Biograph-64, Siemens) 10 min after injection of 11C-choline (700-950 MBq). The mean PSA value was 2.25 ± 2.87 (0.22-17.8) ng/ml. Patients were divided into three groups according to PSA level: ≤ 2 ng/ml, 2 to 9 ng/ml and ≥ 9 ng/ml.

Results: Overall, 11C-choline PET/CT detected PCa relapse in 18 of 58 patients (31 %). Positive PET/CT results were obtained in 8 of 39 patients (21 %) with PSA of ≤ 2 ng/ml, in 8 of 17 patients (47 %) with PSA of 2 to 9 ng/ml, and in 2 of 2 patients (100 %) with PSA of ≥ 9 ng/ml. Local relapse was detected in 55 % (10/18) patients. Both local and distant metastases were diagnosed in 28 % (5/18) cases: bone lesions (2), lymph nodes (2), lymph nodes and adrenal gland (1). Distant relapse was identified in 17 % (3/18) cases: bone (2) and lungs (1). PET/CT allowed to assess the efficacy of treatment in 25 % (10/40) PET-negative patients under hormone therapy at the scan time. However, PET/CT wasn’t able to localize the site of PCa recurrence in these hormone-sensitive patients what might have affected the overall detection rate.

Conclusion: 1) 11C-choline PET/CT was able to detect and correctly identify the site of PCa relapse in 46 % cases and therefore was useful in determining the further therapeutic approach. 2) Our data confirmed the strong correlation between PSA levels and 11C-choline PET/CT detection rate of PCa relapse (r = 0.9). 3) 11C-choline PET/CT has limited utility in localizing the site of PCa recurrence in some patients under hormone therapy.

Key words: prostate cancer recurrence, PET/CT, 11C-choline, PSA

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For citation: Aslanidis IP, Pursanova DM, Mukhortova OV, Silchenkov AV, Karyakin OB, Biryukov VA, Shirokorad VI. Detection of Prostate Cancer Relapse with 11C-choline PET/CT in Patients after Radical Prostatectomy. Medical Radiology and Radiation Safety. 2015;60(5):50-8. Russian.

PDF (RUS) Full-text article (in Russian)

Medical Radiology and Radiation Safety. 2015. Vol. 60. No. 5. P. 46-49

DIAGNOSTIC RADIOLODGY

I.S. Zaharov1, G.I. Kolpinskij1, G.A. Ushakova1, E.S. Kagan2

Use Three-Dimensional Bone Densitometry in Predicting the Risk of Osteoporotic Vertebral Fractures in Postmenopausal Women

1. Kemerovo State Medical Academy, Kemerovo, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ; 2. Kemerovo State University, Kemerovo, Russia

ABSTRACT

Purpose: To develop a model for predicting osteoporotic vertebral fractures in women on the basis of three-dimensional bone densitometry.

Material and methods: The study included 282 women who are postmenopausal, 72 of which have suffered compression fractures of vertebral bodies. Three-dimensional densitometry II-IV of the lumbar vertebrae by quantitative computed tomography was carried out for all patients. Mineral density (BMD) of the trabecular and cortical bone, as well as, bilateral asymmetry indices BMD vertebral bodies were estimated. To process the results and create predictive models of fracture standard methods of binary logistic regression were used.

Results: Based on the results of three-dimensional bone densitometry the model of vertebral fractures in women prediction was developed. In the model developed the asymmetry index of trabecular bone BMD (p = 0.011) and then follow the leading indicators of trabecular bone BMD (p = 0.033), cortical bone BMD (p = 0.034) and the asymmetry index of cortical bone BMD (p = 0.044) are of the greatest significance. The area under the ROC-curve was 0.894 [0.855; 0.932], indicating that the ability to form highly predictive model. Final classification threshold was estimated as 0.371, and the sensitivity of the model - 77.8 %, specificity - 86.7 %. Based on the developed model, a low risk of vertebral fractures corresponds to the forecast probabilities was found below than 0.371, the average risk - predictive probability ranging from 0.371 to 0.5 and higher risk - higher 0.5.

ϼ/u>onclusion: The proposed method makes it possible to predict the probability of occurrence of osteoporotic fractures of the vertebrae with high confidence, which in turn could allow the timely prevention of this type of complications of osteoporosis.

Key words: osteoporosis, quantitative computed tomography, bone mineral density, binary logistic regression, prediction of fracture risk

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For citation: Zaharov IS, Kolpinskij GI, Ushakova GA, Kagan ES. Use Three-Dimensional Bone Densitometry in Predicting the Risk of Osteoporotic Vertebral Fractures in Postmenopausal Women. Medical Radiology and Radiation Safety. 2015;60(5):46-9. Russian.

PDF (RUS) Full-text article (in Russian)

Medical Radiology and Radiation Safety. 2015. Vol. 60. No. 5. P. 31-39

RADIATION EPIDEMIOLOGY

E.I. Rabinovich, V.F. Obesnyuk, S.V. Povolotskaja, S.N. Sokolova, V.A. Turdakova

Impact Assessment of Carcinogenic Factors on the Atrophic Gastritis in the Cohort of Workers of the Nuclear Facility

Southern Urals Biophysics Institute, Ozyorsk, Chelyabinsk Region, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

ABSTRACT

Purpose: Research of exogenous and endogenous risk factors of atrophic gastritis (AG) appearing among the workers of atomic enterprise “Mayak”.

Material and methods: 542 individuals were enrolled into research, 438 of them are workers of “Mayak”. The main health hazards for the “Mayak” personnel are possible long-term external γ-exposure and (or) internal exposure with α-particles, as well as the effects of ecotoxic chemicals. The control group consisted of 104 individuals never exposed to any occupational factors. Functional status of the stomach was investigated by GastroPanel test-system (Biohit, Finland). Assessment of statistical significance of the differences was performed on χ2 statistics calculating the p-value as well as applying contingency tables with further calculations of relative risk.

Results and conclusions: According to the results the incidence of atrophic gastritis among Mayak PA workers exceeded those among the individuals never exposed to harmful occupational factors (14.8 % against 4.8 %; p < 0.05). Statistical analysis showed that both occupational and non-occupational factors affect the development of AG. Thus, a significant increase of relative risk of atrophic gastritis was stated in relation to external exposure with doses equal to 150 mGy and higher (RR = 3.62, 90 % CI 1.53-9.12) in relation to influence of inorganic compounds (RR = 1.58 , 90 % CI 1.04-2.33). Family anamnesis of stomach cancer (RR = 2.27, 90 % CI 1.29-3.57), non-ulcerous gastritis (RR = 1.68, 90 % CI 1.08-2.5), female gender (RR = 1.53, 90 % CI 1.05-2.21) had predisposing influence on development of AG. At the same time a statistically significant deterrent effects for development of AG was detected for smoking factor (RR = 0.51, 90 % CI 0.31-0.78). The data obtained are of great importance, and the question on purposeful detection of AG among the workers exposed to occupational radiation and chemical factors arises. Taking into account the effects of non-occupational carcinogenic factors an elaboration of an individual program of cancer prevention appears.

Key words: radiation exposure, carcinogenic factors, gastric cancer, atrophic gastritis, “Gastro Panel”

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For citation: Rabinovich EI, Obesnyuk VF, Povolotskaja SV, Sokolova SN, Turdakova V.A. Impact Assessment of Carcinogenic Factors on the Atrophic Gastritis in the Cohort of Workers of the Nuclear Facility. Medical Radiology and Radiation Safety. 2015;60(5):31-9. Russian.

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Medical Radiology and Radiation Safety. 2015. Vol. 60. No. 5. P. 40-45

RADIATION EPIDEMIOLOGY

L.N. Belyh, A.P. Biryukov, E.V. Vasiliev, V.P. Nevzorov

About the Theoretical Estimates the Average Risk of Death and Legality of the Application of Various Laws of Probability Distributions in Epidemiological Studies

A.I. Burnasyan Federal Medical Biophysical Center of FMBA, Moscow, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

ABSTRACT

Purpose: To confirm theoretically the usefulness of empirical formulas for the calculation of the average risk of mortality and the use of various laws of probability distribution for the statistical analysis of observational data.

Results: Estimations of the average value of the risk of death with varying degrees of accuracy by the risk function, the distribution function of the risk, time of occurrence of an undesirable event. Obtain statistical assessment of risk in a particular case (the exponential distribution) by maximum likelihood. Show cased interchangeability laws of probability distribution in epidemiology.

Conclusion: The time of onset of adverse events issued in the form of a continuous finite positive random variable. It enabled to construct a distribution function and to obtain estimates of the average value of the risk with varying degrees of accuracy. Existing work can serve as a theoretical basis for the use of empirical formulas for calculation of average value of the risk function with various laws of probability distribution of statistical data analysis.

Key words: risk function, average value of the risk function, distribution laws, statistical evaluation of the risk

REFERENCES

  1. Boyle P., Parkin D. Statistical methods for registries. In: Cancer Registration (Principles and Methods). IARC Publication. Lyon. 1991. No. 95. P. 126–158.
  2. Report of the United Nations Scientific Committee on the Effects of Atomic Radiation to the General Assembly. Annex A. Epidemiological studies of radiation and cancer. 2006. 310 p.
  3. Korn G., Korn T. Spravochnik po matematike (dlya nauchnykh rabotnikov i inzhenerov). Moscow: Nauka. 1974. 832 p.
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For citation: Belyh LN, Biryukov AP, Vasiliev EV, Nevzorov VP. About the Theoretical Estimates the Average Risk of Death and Legality of the Application of Various Laws of Probability Distributions in Epidemiological Studies. Medical Radiology and Radiation Safety. 2015;60(5):40-5. Russian.

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Medical Radiology and Radiation Safety. 2015. Vol. 60. No. 5. P. 25-30

RADIATION SAFETY

R.M. Alexakhin

Radioecological Aspects of the Nuclear Accident at the “Fukushima-1” NPP

Russian Institute of Radiology and Agroecology, Obninsk, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

ABSTRACT

The estimation of the effects on biota of ionizing radiation caused by environmental radionuclides is one of the key radioecological problems in the area of the “Fukushima-1” NPP accident on 11 March 2011. In the “Fukushima-1” NPP accident area two groups of assessments of potential effects of radioactive contamination on different species of terrestrial biota in the first two years following radioactive fallout have been performed: 1) direct experimental study of possible radiation effects in natural conditions, 2) determination of ionizing radiation effects based on the use of models of radionuclide transport in the environment and their accumulation in plants and animals, as well as, the application of the absorbed dose rates estimations with their subsequent comparison to the threshold values for these parameters. The conclusion has been reached that no ecological shifts at the level of terrestrial ecosystem alterations and disturbances of interrelationships between populations have been statistically significantly and unambiguously revealed even at the highest densities of contamination. Some species of terrestrial biota showed only insignificant variations (mainly of a cytogenetic nature) eliminable at later stages of the post accidental period.

Key words: radiation accidents, nuclear power plant, Fukushima-1, terrestrial environment, radioactive contamination, biota, irradiation, modeling

REFERENCES

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For citation: Alexakhin RM. Radioecological Aspects of the Nuclear Accident at the “Fukushima-1” NPP. Medical Radiology and Radiation Safety. 2015;60(5):25-30. Russian.

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