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Diagnosis the Pathology of Extrahepatic Bile Ducts According to Endoscopic Ultrasonography Using Fuzzy Mathematical Models

https://doi.org/10.21869/2223-1536-2022-12-2-149-164

Abstract

The purpose of research is to improving the quality of diagnosis of obstructive pathology of extrahepatic bile ducts based on the analysis of reference schemes of reference endosonograms through the use of hybrid fuzzy mathematical models.

Methods. The main diagnostic method is endoscopic ultrasonography in combination with the methodology of synthesis of hybrid fuzzy decision rules developed at Southwestern State University.

Results. The number of patients with cancer of the extrahepatic bile ducts and the papilla duodeni major is steadily growing and has increased 1,5-2 times over the past 20 years. The differential diagnosis of benign and malignant stenoses is particularly difficult due to the similarity of their echosemiotics. Based on expert assessments of endosonograms displaying the pathology of extrahepatic bile ducts using the methodology of synthesis of hybrid fuzzy decision rules, a fuzzy hybrid model of differential diagnosis of the pathology under study was obtained. Based on the results of mathematical modeling and statistical tests on representative control samples, it was shown that the obtained model of differential diagnosis using reference images of reference endosonograms provides confidence in the desired diagnosis at the level of 0,93.

Conclusions. The obtained model of differential diagnosis of obstructive pathology of extrahepatic bile ducts provides confidence in decision-making at the level of 0,93, which is an acceptable quality indicator in clinical practice, providing "work" in conditions of insufficient statistics with a poorly formalized data structure.

About the Authors

V. A. Belozerov
Kursk Regional Clinical Hospital
Russian Federation

Vladimir A. Belozerov, Cand. of Sci. (Medical), Doctor of the Endoscopy Department

45a Sumskaya Str., Kursk 305007

 



N. A. Korenevsky
Southwest State University
Russian Federation

Nikolai A. Korenevsky, Dr. of Sci. (Engineering), Professor, Head of the Department of Biomedical Engineering 

50 Let Oktyabrya Str. 94, Kursk 305040



N. L. Korzhuk
Tula State University
Russian Federation

Nikolay L. Korzhuk, Cand. of Sci. (Engineering), Professor of the Department Devices and Biotechnical Systems

92 Lenin Ave., Tula 300012

 



References

1. Styazhkina S. N., Isteeva A. R., Korotkova K. A., Sahabutdinova D. R., Hasanova G. F. Aktual'nye problemy mekhanicheskoj zheltuhi v hirurgii [Actual problems of mechanical jaundice in surgery]. Mezhdunarodnyj zhurnalprikladnyh i fundamental'nyh issledovanij = International Journal of Applied and Fundamental Research, 2016, no. 7-3, pp. 427-430.

2. Podoluzhnyj V. I. Mekhanicheskaya zheltuha: principy diagnostiki i sovremennogo hirurgicheskogo lecheniya [Mechanical jaundice: principles of diagnosis and modern surgical treatment]. Fundamental'naya i klinicheskaya medicina = Fundamental and Clinical Medicine. 2018, vol. 3, no. 2, pp. 82-92.

3. Chen C. H., Yang C. C., Yeh Y. H., Yang T., Chung T. C. Endosonography for suspected obstructive jaundice with no definite pathology on ultrasonography. J. Formos. Med. Assoc, 2015, no. 114(9), pp. 820-8. https://doi.org/10.1016/jjfma.2013.09.005

4. Hawes R. H., Fockens P. Endosonography. Elsevier Inc., 2006. 329 p.

5. Klyushkin I. V., Kinzerskij A. Yu., Kinzerskaya M. A., Pasynkov D. V. Kolichestvennaya ocenka ul'trazvukoovogo izobrazheniya [Quantitative evaluation of the ultrasound image]. Kazanskij medicinskij zhurnal = Kazan Medical Journal, 2005, vol. 86, no. 3, pp. 237240.

6. Korenevskij N. A. Ispol'zovanie nechetkoj logiki prinyatiya reshenij dlya medicinskih ekspertnyh sistem [Using fuzzy decision logic for medical expert systems]. Medicinskaya tekhnika = Medical Equipment, 2015, no. 1, pp. 33-35.

7. Korenevsky N. A. Method of synthesis of heterogeneous fuzzy rules for analysis and control of the state of biotechnical systems [Method of synthesis of heterogeneous fuzzy rules for analysis and control of the state of biotechnical systems]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Series: management, computer engineering, computer science. Medical instrumentation = Proceedings of the Southwest State University. Series: Management, Computer Engineering, Computer Science. Medical Instrumentation, 2013, vol. 1, no. 2, pp. 99-103.

8. Korenevskij N. A., Rodionova S. N., Hripina I. I. Metodologiya sinteza gibridnyh nechetkih reshayushchih pravil dlya medicinskih intellektual'nyh sistem podderzhki prinyatiya reshenij [Methodology for synthesis of hybrid fuzzy decision rules for medical intelligent decision support systems]. Stary Oskol, TNT Publ., 2019. 472 p.

9. Korenevskij N. A., Serebrovskij N. A., Kopteva V. I., Govoruhina T. N. Prognozirovanie i diagnostika zabolevanij, vyzyvaemyh vrednymi proizvodstvennymi i ekologicheskimi faktorami na osnove geterogennyh modelej [Prediction and diagnosis of diseases caused by harmful industrial and environmental factors based on heterogeneous models]. Kursk, Publishing House of Kursk State Agricultural Academy, 2012. 231 p.

10. Korenevskij N. A. Proektirovanie nechetkih reshayushchih setej, nastraivaemyh po strukture dannyh dlya zadach medicinskoj diagnostiki [Design of fuzzy decision networks, configurable by data structure for medical diagnostics tasks]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = Systems Analysis and Management in Biomedical Systems, 2005, vol. 4, no. 1, pp. 12-20.

11. Korenevskij N. A, Razumova K. V. Sintez kollektivov gibridnyh nechetkih modelej ocenki sostoyaniya slozhnyh sistem [Synthesis of teams of hybrid fuzzy models for assessing the state of complex systems]. Naukoemkie tekhnologii = High-Tech Technologies, 2014, vol. 12 (15), pp. 31-39.

12. Hadarcev A. A., eds. Informacionnye tekhnologii v medicine [Information technologies in medicine]. Tula, Publishing House of the Tula State University, 2006. 272 p.

13. Hajkin S. Nejronnye seti: Polnyj kurs [Neural Networks: A Complete Course]. 2th ed. Moscow, I. D. Williams Publ., 2006. 1104 p.

14. Shishin K. V., Bystrovskaya E. V., Nedoluzhko I. Yu., Kovalenko D. D., eds. Rol' endoskopii i endo-UZI v diagnostike raka podzheludochnoj zhelezy [The role of endoscopy and endo-ultrasound in the diagnosis of pancreatic cancer]. Annaly hirurgicheskoj gepatologii = Annals of Surgical Hepatology, 2019, vol. 24, no. 3, pp. 36-43.

15. Tomakova R. A., Filist S. A., Nasser A. A. Nechetkie neirosetevye tekhnologii dlya vydeleniya segmentov s patologicheskimi obrazovaniyami i morfologicheskimi strukturami na meditsinskikh izobrazheniyakh [Fuzzy neural network technologies for identifying segments with pathological formations and morphological structures in medical images]. Biomeditsinskaya radioelektronika = Biomedical Radio Electronics, 2012, no. 4, pp. 43-50.

16. Fomin V. M. Kvalimetriya. Upravlenie kachestvom. Sertifikaciya: uchebnoe posobie [Qualimetry. The management of quality. Certification: study guide]. Moscow, OS-89 Publ., 2002. 384 p.

17. Korenevskij N. A. Proektirovanie nechetkih reshajushhih setej, nastraivaemyh po strukture dannyh dlja zadach medicinskoj diagnostiki [Design of fuzzy decision networks, configurable by data structure for medical diagnostics tasks]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2005, vol. 4, no. 1, pp. 12-20.

18. Korenevskij N. A. Ispol'zovanie nechetkoj logiki prinjatija reshenij dlja medicinskih jekspertnyh system [Using fuzzy logic of decision-making for medical expert systems]. Medicinskaja tehnika = Medical Equipment, 2015, no. 1, pp. 33-35.

19. Korenevskij N. A., Rodionova S. N., Hripina I. I. Metodologija sinteza gibridnyh nechetkih reshajushhih pravil dlja medicinskih intellektual'nyh sistem podderzhki prinjatija reshenij [Methodology of synthesis of hybrid fuzzy decision rules for medical intelligent decision support systems]. Staryj Oskol, TNT Publ., 2019. 472 p.

20. Korenevskij N. A., Artemenko M. V., Provotorov V. Ja., Novikova L. A. Metod sinteza nechetkih reshajushhih pravil na osnove modelej sistemnyh vzaimosvjazej dlja reshenija zadach prognozirovanija i diagnostiki zabolevanij [Method of synthesis of fuzzy decision rules based on models of system relationships for solving problems of forecasting and diagnosis of]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2014, vol. 13, no. 4, pp. 881-886.


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For citations:


Belozerov V.A., Korenevsky N.A., Korzhuk N.L. Diagnosis the Pathology of Extrahepatic Bile Ducts According to Endoscopic Ultrasonography Using Fuzzy Mathematical Models. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2022;12(2):149-164. (In Russ.) https://doi.org/10.21869/2223-1536-2022-12-2-149-164

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