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Issue 2 (192), article 6

DOI:https://doi.org/10.15407/kvt192.02.084

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zlepko S.M.1,
D.Sc. (Engineering), Professor,
Head of the Department of Biomedical Engineering
e-mail: smzlepko@ukr.net
Chernyshova T.A.2, Doctor
e-mail: tetyana.che@gmail.com
Maevsky O.E.3, Dr (Medical), Professor,
Head of the Department of Histology
e-mail: maevskyalex8@gmail.com
Krivonosov V.E.4, docent,
Department of Biomedical Engineering
e-mail: yhtverf007@ukr.net
Azarkhov O.Y., Dr (Medical), Professor,
Head of the Department of Biomedical Engineering
e-mail: azarhov55@mail.ru

1Vinnytsia National Technical University,
Khm. highway 95, 21021, Vinnytsia, Ukraine
2Medical Center of National Aviation University,
Cosmonaut Komarov ave., 1, 03058, Kyiv, Ukraine
3Nicholay Pirogov Vinnitsa National Medical University,
Pyrohova str, 56, 21000, Vinnytsia, Ukraine
4Priazovsky State Technical University,
Universytetska str, 7, 87500, Mariupol, Ukraine

INFORMATION TECHNOLOGY OF DETERMINING CIRCULAR TUMOR CELLS IN HUMAN BLOOD

Introduction. The development of information systems and technologies for the processing of medical images of cells obtained in the study of histological preparations is one of the most important and priority directions of modern medical science.
The purpose of the article is to detect the CPR at various localizations of malignant neoplasms is currently one of the topical issues in oncology.
Results. A distinctive feature of the CPR is the aggressive metastatic potential, which allows them to be considered as the main mechanism of tumor progression. The article describes the methods of detecting the CPC, the functions and operations of image processing. The modern methods and algorithms for processing and restoring biomedical images are analyzed. The work of information technology for the determination of circulating tumor cells in human blood is given step by step. A comparison of the developed technology and existing analogues is made.
Conclusions. Unlike the existing technology, it detects a 4-micromycle GPC in the study of blood samples from patients with micellar lung cancer. The doctor, thus, received an automatic technology for the determination of the CPP in peripheral or venous blood with high reliability and informativeness, with maximum preservation of the integrity and invulnerability of circulating tumor cells. The analysis of literary sources and their own clinical studies have confirmed that only technologies based on the ISET method allow the detection of very rare circulating trophoblast cells of the fetus from the mother’s blood.

Keywords: technology, circulating tumor cell, medical image, histology, treatment, definition, criterion.

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REFERENCES

1 Lukashevich M.M., Starovoytov V.V. Method of counting the number of cell nuclei on medical histological images. System analysis and applied informatics. 2016. No 2. P. 37–42. URL: https://cyberleninka.ru/article/n/metodika-podscheta-chisla-yader-kletok-na-meditsinskih-gistologicheskih-izobrazheniyah (Last accessed: 15.05.2018) (in Russian).

2 Determination of CSC content in peripheral blood in patients with primary generalized breast cancer at the treatment stages. URL: https://www.science-education.ru/ru/article/view?id=22788 (Last accessed: 15.05.2018) (in Russian).

3 Kagan M., Howard D., Bendele T., Mayes J., Silvia J., Repollet M., Doyle J. A Sample Preparation and Analysis System for Identification of Circulating Tumor Cells. Journal of Clinical Ligand Assay. 2002. V. 25, N 1. P. 104–110.

4 Vona G., Sabile A., Louha M., Sitruk V., Romana S., Schutze K., Capron F. Isolation by size of epithelial tumor cells?: a new method for the immunomorphological and molecular characterization of circulatingtumor cells. The American journal of pathology. 2000. V. 156, N 1. P. 57–63. https://doi.org/10.1016/S0002-9440(10)64706-2

5 Hayes G., Busch R., Voogt J., Siah I., Gee T., Hellerstein M., Chiorazzi N. Isolation of malignant B cells from patients with chronic lymphocytic leukemia (CLL) for analysis of cell proliferation: validation of a simplified method suitable for multi-center clinical studies. Leukemia research. 2010. V. 34, N 6. P. 809–815. https://doi.org/10.1016/j.leukres.2009.09.032

6 Pavlov A.Yu., Gafanov R.A., Tsibulskiy A.D., Fastovets S.V., Kravtsov I.B., Isaev T.K. The role of evaluation of circulating tumor cells in prostate cancer: diagnosis and dynamic observation. RMJ. 2016. No 8. P. 480–487 (in Russian).

7 Cell Search. URL: https://www.cellsearchctc.com/ (Last accessed: 25.04.2018)

8 Babyuk N.P. Method and system of estimation of dynamic changes of biomedical images in ophthalmology. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2016, 24 p. (in Ukrainian

9 Hou JM, Krebs MG, Lancashire L, Sloane R, Backen A, Swain RK, ct al. Clinical significance and molecular characteristics of circulating tumor cells and circulating tumor microemboli in patients with small-cell lung cancer. J Clin Oncol. 2012. No. 30(5). P. 525–532.

10 Ma YC, Wang L, Yu PL. Recent Advances and Prospects in the Isolation by Size of Epithelial Tumor Ceils (ISET) Methodology. Technol Cancer Res Treat. 2012. No. f 2(4). P. 295–309.

11 Farace F, Massard C, Vimond N, Drusch F, Jacques N, Billiot F, el al. A direct comparison of CellSearch and ISET for circulating tumour-cell detection in patients with metastatic carcinomas. Br J Cancer. 2011. No. 105(6). P. 847–853.

12 Mouawia H, SakerA, Jais JP, Benachi A, Bussieres L, LacourB,el al. Circulating trophoblastic cells provide genetic diagnosis in 63 fetuses at risk for cystic fibrosis or spinal muscular atrophy. Reprod Blamed Online. 2012. No. 25(5). P. 503–520.

13 Burdenyuk I.I. Information technology for decision-making support in the analysis of biomedical data. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2010. — 19 p. (in Ukrainian).

14 Ismailova G., Laget S., Paterlini-Brechot P. Diagnosis of circulatig tumor cells using ISET technology and their molecular characteristics for fluid biopsy: URL: https://cyberleninka.ru/article/n/diagnostika-tsirkuliruyuschih-opuholevyh-kletok-s-pomoschyu-tehnologii-iset-i-ih-molekulyarnaya-harakteristika-dlya-zhidkostnoy. (Last accessed: 13.05.2018) (in Russian).

15 15. Ledov V.K., Skrinnikova M.A., Popova O.P. Isolation of Circulating Tumor Cells by Isolated Size (ISET) (Overview). Vice versa Oncology. 2014. No 60(5). P. 548–552. (in Russian).

16 16. Cytological diagnosis of breast cancer URL: http://mastopatia.com/tsitologicheskaya-diagnostika-raka-molochnoy-zhelezi.html (Last accessed: 05.2018) (in Russian).

17 Sensitivity and specificity of diagnostic research URL: http://www.ebm.org.ua/clinical-epidemiology/testing/sensitivity-specificity/ (Last accessed: 20.05.2018) (in Russian).

18 18. MedovyiyS., Pyatnitskiy A.M., Sokolinskiy B.Z. Innovative project Development of a complex of automated microscopy, its cloud functional, Internet resource of laboratory telemedicine for medical analysis of biomaterials (MECOS-CZ). Innovation and examination. Is. 2(9), 2012, s. 50–64. (in Russian).

19 Ablameyko S.V., Nedzved A.M. Processing of optical images of cellular structures in medicine. Minsk, 2005. 156 p. (in Russian).

20 Chernyshova T.A, Zlepko S.M., Timchik S.V., Krivonosov V.Ye., Zlepko O.S. Information system for obtaining and processing microscopic images of circulating tumor cells (CPC). Achievements of clinical and experimental medicine. 2017. No 4 (32). P. 39–46.

21 Chernishova T.A., Zlepko S.M., Azarkhov O.Yu., Danilkov S.O., Krivonosov V.Ye., Baranovskyi D.M. Medical Informatics and Engineering: Sciences. Pract. Journal 2017. No 4 (40). P. 30–35. (in Ukrainian).

Received 03.04.2018

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Issue 184, article 7

DOI:https://doi.org/10.15407/kvt184.02.084

KVT, 2016, Issue 184, pp.84-94

UDC 004.9:61

CONSILIUM METHOD FOR ESTIMATING DIAGNOSTIC CONCLUSION OF NEUROLOGIST

Zlepko S.M.1, Tymchyk S.V.1, Lepiohina H.S.2

1Vinnytsia National Technical University, Vinnytsia, Ukraine

2Skadovsk Central District Hospital, Skadovsk, Ukraine

smzlepko@ukr.net , tymchyksv@ukr.net , lepyanna@yandex.ua

 

Introduction. The current stage of development of health information systems and technology is characterized by the fact that the most frequently used component of their structures is a workstation (AEWP) specialist. AEWPs are integrating with instrumentations and the computing system, ensuring the fulfillment of the set of basic functions. It is essential to reduce the risk by creating a specialized workstation of a neurologist and the development of consultation method.

The purpose is to improve the quality of medical care for children with motor disabilities through the development of a consultation method for the evaluation of the conclusions adopted by the neurologist.

Results. Proposed consultation method for the evaluation of the diagnostic conclusions child neurologist at the ambiguous and threatening situations. The method is based on selecting and evaluating the competence of experts, and then receive their average assessment and group assessment decision.

Conclusions. Thus, the introduction to the AEWP of the doctor-neurologist two circuits decision structure, where the first — is the level of the doctor, and the second — level panel of doctors for real threat of newborn life situations, a systematic approach to the problem of diagnostics and treatment of motor disorders in children in the perinatal period of life has been achieved.

Keywords: automation equipped working place (AEWP), children’s neurologist, a subsystem of decision-making, expert consultation, evaluation matrix, weights

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References:

  1. INTERIN — medical information systems. Group Interin. Available at: http://www.interin.ru/.
  2. AEWP obstetrician and automation of the women’s clinic. Information Portal «Lektsii.Net». Available at: http://lektsii.net/1-101185.html.
  3. Hardware-software complex for assessment of the mother and fetus FS: presentation. Tomsk Polytechnic University. Department of Medical and Industrial Electronics. Available at: http://www.myshared.ru/slide/992397
  4. Kobrinskiy B.A. The logic of the argument in making medical decisions. STI, Ser. 2, 2001, № 9, pp. 1–8.
  5. Functions of the medical council, the order of . The legal department “of the Faculty of Medical Law”. LLC “Faculty of Medical Law“. Available at: http://www.kormed.ru/pravila-okazaniya-meduslug/konsilium-vrachei/funktsii-konsiliuma-vrachey-poryadok-raboty
  6. Taran T.A. The formalization of the arguments on the basis of reasoning when making decisions in conflict situations. STI, Ser. 2,1998, № 9, pp. 23–33.
  7. Zlepko S.M., Kovalenko A.S., Prudius P.G. et.al. Automation equipped working place (for example, AEWP therapist). Proc. of the 3rd International Scientific Conference “Information Technologies and Computer Engineering”, Vinnitsya, 29th –31t May 2012, Vinnitsya : VNTU, 2012, pp. 68–69.
  8. Azarhov O.Yu., Zlepko S.M., Kosmach L.V. et.al. Features building strategy “telemedicine consultation” for rehabilitation of patients in residual period. Measuring and computing in technological processes materials. XII International Scientific Conference (3d–8th June 2013, Odessa); Odessa National Academy of Telecommunications named after O.S.Popov, Odesa — Khmel’nyts’kyy: KNU, 2013, P.115.
  9. Azarhov O.Yu., Shtofel D.H., Timchik S.V. et. al. Hardware-software complex “Automated workplace chief doctor”. Information technology, science, engineering, technology, education, health. Abstracts XIX International Scientific Conference in 4 parts, Kharkiv, 15th–17th May 2012, Kharkiv : NTU «KPI», P. III, p. 65.
  10. Zinchenko S.G. The project is a multidisciplinary consulting center in the Donets-Dnieper economic region of Ukraine. Economy: Problems and hopes practices. Interuniversity collection of scientific papers. Dnipropetrovs’k : «Science and education», 2000, Publ.9, pp.66–72.

Received 15.02.2016