Keywords: endoscopic ultrasonography, characteristics of the contours of focal formations of the pancreas, chronic pancreatitis, ductal adenocarcinoma, statistical analysis
The study of the informative characterization of the contours of focal formations of the pancreas for the purpose of differential diagnosis of chronic pancreatitis and ductal adenocarcinoma.
UDC УДК 616.37-006.6:616-072.1 УДК 57.087
DOI: 10.26102/2310-6018/2021.35.4.024
Differential diagnosis of focal pancreatic pathology is a complex clinical task. The method of endoscopic ultrasonography is the most informative in the detailed visualization of the pancreatic parenchyma and is used as a clarifying method in the diagnosis of focal pathology of the organ, which is provided by high-resolution images due to the minimal distance of the sensor from the object under study. One of the informative criteria for the differential diagnosis of the pathology under study is the characteristic of the contours of focal formations. The aim of the work was to improve the quality of differential diagnosis of focal pancreatic pathology according to endoscopic ultrasonography based on the analysis of the characteristics of the contours of focal formations with an assessment of their informative value. The results of endoscopic ultrasonography of 109 patients with solid tumors of the pancreas and 40 patients with chronic pancreatitis were analyzed. The endoscopic video system of the Olympus EVIS EXERA II company with the EU-ME1 ultrasound processor was used. Using the developed universal algorithms, the most homogeneous fragments of the region of interest are selected from the primary video materials, on the basis of which a scale of characteristics of the contours of the considered focal pathology is formed. Eight main types of contours corresponding to chronic focal pancreatitis and ductal adenocarcinoma with various degrees of differentiation were identified. The obtained data allowed us to construct a histogram with subsequent statistical analysis of the results, which showed the prospects of the proposed method of differential diagnosis of pancreatitis and oncological diseases and the synthesis decision rules.
1. Narantuyaa T., Frolova I.G., Velichko S.A. Diagnostic imaging of pancreatic cancer. Sibirskii onkologicheskii zhurnal = Siberian journal of oncology. 2009;(1):40-44. (In Russ.)
2. Dusmuhamedova Z.T., Fazilov A.A., Abzalova M.Y. Characteristic features of the ultrasound picture of chronic pancreatitis. Molodoy ucheniy. 2017;(10):133-136. – URL: https://moluch.ru/archive/144/39442/. (In Russ.)
3. Karmazanovskii G. G. Solid pancreatic tumors: protocols of radiological examinations and differential diagnosis (lecture, part 1). Meditsinskaya vizualizatsiya = Medical visualization. 2016;(4):54–63. (In Russ.)
4. Pronina G. M., Orlova M. V. Endoscopy and endosonography in the diagnostics of pancreatic cancer. Annaly khirurgicheskoi gepatologii = Annals of HPB surgery. 2019;24(3):36–44. https://doi.org/10.16931/1995-5464.2019336-44. (In Russ.)
5. Welinsky S., Lucas A. L. Familial pancreatic cancer and the future of directed screening. Gut Liver. 2017;11(6):761–770. https://doi.org/10.1007/s00261-017-1308-z.
6. Vetsheva N.N., Shishin K.V., Bystrovskaya E.V., Nedoluzhko I. Yu., Kovalenko D D. Preoperative diagnosis of solid pancreatic mass: literature revive. Meditsinskaya vizualizatsiya = Medical visualization. 2016;(5):50–58. (In Russ.)
7. Nechipai A.M., Orlov S.Yu., Fedorov E.D. EUSbuka: Handbook of endoscopic ultrasonography. Moscow: Prakticheskaya medicina; 2013. 399 p. (In Russ.)
8. Titov I.O., Emel'yanov G.M. Selecting the contours of an image of a moving object. Vestnik NOVSU. 2010;(55):27–31. (In Russ.)
9. Solodinina E.N. Endoscopic ultrasound examination in the diagnosis of surgical diseases of the pancreatobiliary zone. Dissertation for the degree of Doctor of Medical Sciences. М. 2016. 240 p. (In Russ.)
10. Neustroev V.G., Il'icheva E.A., Rasulov R.I., Vladimirova A.A., KHmel'nitskaya D.A. Endosonography in differential diagnostics of pancreatic cancer and cronic pancreatitis. BYulleten vostochno-sibirskogo nauchnogo tsentra sibirskogo otdeleniya Rossiiskoi akademii meditsinskikh nauk = Bulletin of the east Siberian scentific center of the Siberian branch of the Russian Academy OF Medical sciences. 2006;6(52):76-81. (In Russ.)
11. Nechipai A.M., Burdyukov M.S., Yurichev I.N., Korzheva I.Yu., Komissarov D.Yu. Endosonographic criteria for differential diagnosis of pancreatic cancer and chronic pancreatitis. Current issues of endoscopy 2016: collection of materials of the VII All-Russian Scientific and Practical Conference, March 24-25, 2016;258–259. (In Russ.)
12. Scharwächter С., Haage P. Diagnosis of Pancreatic Ductal Adenocarcinoma. Current Radiology Reports. 2017;5(8):971–8. DOI: 10.1007/s40134-017-0233-9.
13. Guo C.G., Ren S., Chen X., Wang Q.D., Xiao W.B., Zhang J.F., Duan S.F., Wang Z.Q. Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance. Cancer Manag Res. 2019;(11):1933–1944.
14. Jones S.N., Lees W.R., Frost R.A. Diagnosis and grading of chronic pancreatitis by morphological criteria derived by ultrasound and pancreatography. Clin Radiol. 1988;39(1):43–8. DOI: 10.1016/s0009-9260(88)80339-8. PMID: 3276430.
15. Wiersema M.J., Haves R.H., Lehman G.A. et al. Prospective evaluation of endoscopic ultrasonography end endoscopic retrograde cholangiopancreatography in patients with chronic abdominal pain of suspected pancreatic origin. Endoscopy. 1993;25:555–564.
16. Hawes R.H. Endosonography Hawes R.H., Fockens P. Elsevier Inc., 2006. 329 p.
17. Mitkov V.V. A practical guide to ultrasound diagnostics. General ultrasound diagnostics. Edited by 3rd ed., reprint. and add. M.: Publishing house Vidar-M.; 2019. 756 p. (In Russ.)
18. Strukov A.I., Serov V.V. Pathological anatomy: textbook. 5th ed., ster. M.: Litterra; 2010. 848 p. (In Russ.)
19. Filippova E.M. Prognostic significance of the degree of histological malignancy of ductal adenocarcinoma of the pancreas. Dissertation for the degree of Candidate of medical Sciences. M. 2015. 118 p. (In Russ.)
20. Sedtikova G.R., Paklina O.V., Shabunin A.V., Bedin V.V., Tavobilov M.M., Khatkov I.E., Izrailov R.E. Morfological assessment of the prevalence of ductal adenocarcinoma of the pancreas. Rossiiskii Mediko-biologicheskii vestnik imeni akademika I.P. Pavlova. 2015; 23(1):130-136. (In Russ.)
21. Korenevskii N.A. Application of fuzzy logic for decision-macing in medical expert systems. Meditsinskaya tekhnika = Biomedical Engineering. 2015;(49)1: 33–35. (In Russ.)
22. Korenevskii N.A., Rodionov S.N., Khripina I.I. Methodology for the synthesis of hybrid fuzzy decision rules for medical intelligent decision support systems. Stary Oskol: TNT. 2019. 472 p. (In Russ.)
23. Korenevskii N.A. Design of fuzzy decision networks, configurable by data structure for medical diagnostics tasks. Sistemnyi analiz i upravlenie v biomeditsinskikh sistemakh = Systems analysis and management in biomedical systems. 2005;(4)1:12–20. (In Russ.)
24. Belozerov V.A., Korenevskii N.A. Fuzzy models of differential diagnosis of focal formations of the pancreas according to endoscopic ultrasonography based on the analysis of reference schemes of reference endosonograms. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Meditsinskoe priborostroenie = Proceedings of the southwest state university. Series: Control, Computer engineering, information science. Medical instruments engineering. 2020;10:(3/4):118-135. (In Russ.)
25. Belozerov V.A., Korenevskii N.A. Differential diagnosis of pancreatic pathology according to endoscopic ultrasonography based on fuzzy mathematical models. Sistemnyi analiz i upravlenie v biomeditsinskikh sistemakh = Systems analysis and management in biomedical systems. 2021;(20)1;102-110. (In Russ.)
26. Korenevskii N.A. Method for the synthesis of heterogeneous fuzzy rules for the analysis and control of the state of biotechnical systems. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: upravlenie, vychislitel'naya tekhnika, informatika. Meditsinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, computer Engineering, information science. Medical instruments engineering. 2013;2:99–103. (In Russ.)
27. Korenevskii N.A. Application of fuzzy logic for decision-making in medical expert systems. Biomedical engineering. 2015;49:46–49.
28. Korenevskii N.A, Degtyarev S.V, Seregin S.P, Novikov A.V. Use of an Interactive Method for Classification in Problems of Medical Diagnosis. Biomedical engineering. 2013;47(4):169–172.
29. Korenevskii N.А., Razumova K.V. Synthesis of fuzzy classification rules in multi-gomernom the feature spase. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Meditsinskoe priborostroeni = Proceedings of the Southwest State University. Series:Management, Computer Engineering, computer science. Medical instrumentation. 2012;2:223–227. (In Russ.)
30. Korenevskii N.A., Tutov N.D., Lazurina L.P. Design of medical and environmental information systems. Kursk: Kursk State Technical University; 2001. 193 p. (In Russ.)
31. Korenevskii N.A., Bashir A.S., Gorbatenko S.A. Synthesis of hybrid fuzzy rules for forecasting, assessment and management of health status in environmentally unfavorable regions. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Meditsinskoe priborostroeni = Proceedings of the Southwest State University. Series:Management, Computer Engineering, computer science. Medical instrumentation. 2013;(4):69. (In Russ.)
32. Norton I.D, Zheng Y., Wiersema M.S., Greenleaf J., Clain J.E., Dimagno E.P. Neural network analysis of EUS images to differentiate between pancreatic malignancy and pancreatitis. Gastrointest Endosc. 2001;54(5):625-9. DOI: 10.1067/mge.2001.118644. PMID: 11677484.
Keywords: endoscopic ultrasonography, characteristics of the contours of focal formations of the pancreas, chronic pancreatitis, ductal adenocarcinoma, statistical analysis
For citation: Belozerov V.A., Korenevskii N.A., Artemenko M.V., Prokopov V.A. The study of the informative characterization of the contours of focal formations of the pancreas for the purpose of differential diagnosis of chronic pancreatitis and ductal adenocarcinoma.. Modeling, Optimization and Information Technology. 2021;9(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1073 DOI: 10.26102/2310-6018/2021.35.4.024 (In Russ).
Received 21.10.2021
Revised 21.12.2021
Accepted 29.12.2021
Published 31.12.2021