NEW INFORMATION TECHNOLOGIES FOR ANALYSIS SKELETON PLANAR SCINTIGRAMMS OF PATIENTS WITH BREAST CANCER

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Abstract

In work is described practical approach to the expert system building for the analysis skeleton planar scintigramms. The aim is to analyze the numerical characteristics of bone metastases by scintigraphy. Objective. Progress in the development of bioinformatics and mathematical methods in biomedicine, as well as the development of computer and telecommunications systems and networks determines the look of the present and future of oncology technology and of medicine in general. At last years of one of the directions of high-tech-medicine development is a processing the digital image: improvement of quality of image, recovering image, its recognition of separate elements. Recognition of pathological processes is one of the most important problems of processing the medical image. Methods and results. Method of computer-aided analysis of planar osteostsintigrammy studied the skeleton of patients with breast cancer are in complete remission and in the phase progression of the disease with metastases to the skeleton. As analyzed parameter was used brightness of images. The study of the physiological accumulation of radiopharmaceuticals in patients without metastasis to the skeleton indicates a wide variation in the brightness values of the scintigram in some areas of the skeleton. At the same anatomical areas of the skeleton there are significant differences in the values of the index of average brightness. In almost all areas of the skeleton averages of the brightness lesions hyperfixation RFP for scintigram significantly prevail over those of «physiological» lesions hyperfixation. Thus, there is a direct relationship between the levels of accumulation of the radiopharmaceutical in areas of the skeleton without metastatic lesion and bone metastases occurring in these zones. Consider methodological approaches to studies of quality of qualifier at the expert system building for the analysis skeleton planar scintigramms, as well as results of conducting calculations.

About the authors

Xinmei Kang

3rd Affiliated Hospital (Tumor Hospital) of Harbin Medical University

Author for correspondence.
Email: savin.sergei@mail.ru
Harbin, China

N. E. Kosykh

The Far-Eastern State Medical University

Email: savin.sergei@mail.ru
Khabarovsk, Russia

E. A. Levkova

Medical Clinic Immunorehabilitation Center

Email: savin.sergei@mail.ru
Khabarovsk, Russia

V. A. Razuvaev

Far Eastern State Transport University

Email: savin.sergei@mail.ru
Khabarovsk, Russia

S. Z. Savin

Federal State Budget Educational Institution of Higher Education Pacific National University

Email: savin.sergei@mail.ru
Khabarovsk, Russia

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Copyright (c) 2019 Kang X., Kosykh N.E., Levkova E.A., Razuvaev V.A., Savin S.Z.

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