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.

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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. 2023. Vol. 68. № 3

DOI: 10.33266/1024-6177-2023-68-3-52-56

A.Sh. Pattokhov1, Yu.M. Khodjibekova1, M.Kh. Khodjibekov2

Choise of Statistical Processing Methods for the Results
of Radcomic Analysis of CT Images of Head and Neck Tumors

1 Tashkent state dental institute, This email address is being protected from spambots. You need JavaScript enabled to view it. , Tashkent, Uzbekistan

2 Tashkent medical academy, This email address is being protected from spambots. You need JavaScript enabled to view it. , Tashkent, Uzbekistan

Contact person: Marat Khudaykulovich Khodjibekov, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

ABSTRACT

Purpose: Selection of the optimal method for statistical processing of the results of texture analysis of conventional CT images in patients with head and neck tumors.

Material and methods: A total of 118 patients aged from 4 to 80 years with a verified diagnosis of 37 benign and 81 malignant head and neck tumors were studied. Texture analysis was performed using LIFEx program, version 7.10, with statistical processing using SPSS, MedCalc, XLSTAT, R.

Results: The 39 texture indicators extracted from CT images were subjected to statistical processing by different methods, including Mann-Whitney U test, correlation matrix, factor analysis, LASSO-regression, ending with the development of a logistic classification model. Of the multiple processing methods, LASSO-regression followed by logistic model was optimal; according to its results, the percentage of correct classification of benign and malignant patient groups was – 81.3 %, area under the ROC curve was 0.902±0.029 (p<0.0001), sensitivity – 82.7 %, specificity – 87.5 %.

Conclusion: Texture analysis of medical images allows non-invasive prediction of benign or malignant nature of the imaged head and neck mass. The choice of the correct method for statistical processing of texture analysis results is critical to assess and classify patients according to the nature of the tumor.

Keywords: CT images, head and neck tumors, radiomics, texture analysis, statistical processing

For citation: Pattokhov ASh, Khodjibekova YuM, Khodjibekov MKh. Choise of Statistical Processing Methods for the Results of Radcomic Analysis of CT Images of Head and Neck Tumors. Medical Radiology and Radiation Safety. 2023;68(3):52–56. (In Russian). DOI: 10.33266/1024-6177-2023-68-3-52-56

 

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 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: 20.01.2022. Accepted for publication: 25.02.2023.

 

 

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