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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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.

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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.

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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.

Medical Radiology and Radiation Safety. 2022. Vol. 67. № 5

DOI: 10.33266/1024-6177-2022-67-5-75-79

V.I. Busurin, P.S. Kudryavtsev

APPLICATION OF ULTRASONIC OSTEOMETRY
METHOD FOR SCREENING-DIAGNOSIS AND EFFICIENCY
OF THE OSTEOPOROSIS THERAPY

Moscow Aviation Institute, Moscow, Russia

Contact person: V.I. Busurin, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

ABSTRUCT

Purpose: Development of an algorithm screening diagnostics of osteoporosis with use of ultrasonic osteometers based on complex data analysis of external instrumental investigations and the anamnesis data.

Material and methods: The material including data of complex researches of 53 women aged from 20 up to 75 years, such as results of external inspection and anamnesis and data of instrumental researches was used: ultrasonic osteometry of a calcaneal bone and two energy x-ray densitometry inspection of lumbar area.

Results: The developed complex processing procedure of data based on data of external inspection, the anamnesis and an ultrasonic osteometry leads to the acceptable level of false-negative and false positive errors of diagnostics when comparing with data of x-ray two-energy densitometry.

Conclusions: The comparative analysis of accuracy of assessment of patient’s distribution on risk groups based on data of external inspection and the anamnesis with data densitometry is carried out. The comparative analysis of accuracy on risk groups based on data of an ultrasonic osteometry with data densitometry is carried out. It was shown that the level of errors when using these two tool techniques is rather high. The complex rule of creation of risk groups based on data of external inspection, the anamnesis and an ultrasonic osteometry which showed good correlation with data of measurements with use two-energy x-ray densitometry is developed. The conversion function given the received complex decisive rule in the T scale – parameter, compatible to the estimates received at two-energy x-ray densitometry is constructed.

Keywords: ultrasonic osteometry,  two-energy x-ray densitometry, screening diagnostics, decision rule, risk group

For citation: Busurin VI, Kudryavtsev PS. Application of Ultrasonic Osteometry Method for Screening-Diagnosis and Efficiency of the Osteoporosis Therapy. Medical Radiology and Radiation Safety. 2022;67(5):75–79. (In Russian). DOI: 10.33266/1024-6177-2022-67-5-75-79


References

1. Riggz B., Melton Dzh. Osteoporoz. Etiologiya, Diagnostika, Lecheniye = Osteoporosis: Etiology, Diagnostics, Treatment. Moscow. Binom Publ., 2000. 560 p. (In Russ.).

2. Lesnyak O.M. A New Paradigm in Diagnostics and Treatment of Osteoporosis. Osteoporoz i Osteopatii = Osteoporosis and Bone Diseases. 2012;1:23-28 (In Russ.).

3. Joint Venture 2.6.1.2612-10. The Basic Health Regulations of Ensuring Radiation Safety (OSPORB – 99/2010). In Edition of Changes No. 1. Moscow Publ., 2013. 77 p. (In Russ.).

4. Skripnikova I.A., Abirova E.S., Alikhanova N.A., Kosmatova O.V. Vascular Rigidity, Calcification And Osteoporosis. General Pathogenetic Links. Kardiovaskulyarnaya Terapiya i Profilaktika = Cardiovascular Therapy and Prevention. 2018;17;4:95-102 (In Russ.).

5. Chechurin R.Ye., Ametov A.S., Rubin M. Comparative Assessment of X-Ray Densitometry of an Axial Skeleton and Ultrasonic Densitometry of a Calcaneal Bone. Osteoporoz i Osteopatii = Osteoporosis and Bone Diseases. 1999;4:7-10 (In Russ.).

6. Laugier P., Berger G., Giat P., Bonnin-Fayet P., Laval-Jeante J. Ultrasound Attenuation Imaging in the OS Calcic: An Improved Method. Ultrasonic Imaging. 1994;16:65-76. 

7. Hans D., Baim S.. Quantitative Ultrasound (QUS) in the Management of Osteoporosis and Assessment of Fracture Risk. J.Clin. Densitom. 2017;20;3:322-333. 

8. Ayvazyan S.A., Bukhshtaber V.M., Yenyukov I.S., Meshalkin L.D. Prikladnaya Statistika. Klassifikatsiya i Snizheniye Razmernosti = Applied Statistics. Classification and Decrease in Dimension. Moscow, Finansy i Statistika, 1989. 607 p. (In Russ.).

9. Bishop C. Pattern Recognition and Machine Learning. Springer, 2006. 703 p.

 

 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: 20.06.2022. Accepted for publication: 25.08.2022.

 

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