Preview

Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering

Advanced search

Methods for Assessing Renal Нemodynamics after Minimally lnvasive Treatment of Urolithiasis

https://doi.org/10.21869/2223-1536-2024-14-1-24-35

Abstract

The purpose of research. Urolithiasis occupies a leading place among all urological diseases after infectious and inflammatory ones. /n addition, it does not lose its relevance due to the fact that the number of patients with this disease is steadily increasing. Тhe aim of the study is to study the peculiarities of changes in renal hemodynamics after minimally invasive methods of treatment of urolithiasis remote shock wave lithotripsy (DLТ) and percutaneous nephrolithotripsy (РNL) to improve the quality of medical care for urological patients.
Methods. Numerous studies have shown in detail the effectiveness of using remote shock wave lithotripsy and percutaneous nephrolithotorypsy in the treatment of kidney stones. Тhese methods are minimally invasive, well tolerated by patients, and reduce the risks of complications, but they are accompanied by kidney injury, in particular, microcirculation disorders. Тhe use of the Dopplerographic method of investigation allows for a highly informative assessment of the degree of impaired renal microcirculation for the diagnosis of urolithiasis, including for the assessment of hemodynamics after minimally invasive treatment methods.
Results. Тhe work shows that when using dopplerography of renal vessels after remote shock wave lithotripsy and percutaneous nephrolithotorypsy, a violation of hemodynamics after DLТ is noted in dynamics already on the first day. In addition, the terms of normalization of indicators are longer in comparison with hemodynamics after РNL. Аlso, with РNL, there is a gradual increase in blood flow indicators in the dynamics of the postoperative period.
Conclusion. Тhe work shows that ultrasound Dopplerography is an effective method of dynamic assessment of renal blood flow, and the indicator of renal damage is the resistance index, mainly in the interlobular arteries.

About the Authors

I. M. Kholimenko
Kursk Regional Multidisciplinary Clinical Hospital
Russian Federation

Ivan M. Kholimenko, Candidate of Sciences (Medical), Urologist

45a Sumskaya Str., Kursk 305007



S. P. Seregin
Southwest State University
Russian Federation

Stanislav P. Seregin, Doctor of Sciences  (Medical), Head of the Department of Biomedical Engineering

50 Let Oktyabrya Str. 94, Kursk 305040



S. N. Rodionova
Southwest State University
Russian Federation

Sofia N. Rodionova, Candidate of Sciences  (Engineering), Associate Professor  of the Department of Biomedical Engineering

50 Let Oktyabrya Str. 94, Kursk 305040



A. V. Pugzhilis
Southwest State University
Russian Federation

Anastasia V. Pugzhilis, Post-Graduate Student  
of the Department of Biomedical Engineering

50 Let Oktyabrya Str. 94, Kursk 305040



References

1. Bobylev D. A., Chekhonackaya M. L., Osadchuk M. A., Rossolovskij A. N., Ilyasova E. B., Osnovin O. V., Kireeva N. V., Kryuchkov I. A., Chekhonackij I. A. Prognozirovanie rezul'tatov distancionnoj udarno-volnovoj litotripsii u bol'nyh nefrolitiazom [Forecasting the results of remote shock wave lithotripsy in patients with nephrolithiasis]. Rossijskij elektronnyj zhurnal luchevoj diagnostiki = Russian Electronic Journal of Radiation Diagnostics, 2018, vol. 8, no. 2, pp. 110–115.

2. Kaprin A. D., Apolihin O. I., Sivkov A. V., Anohin N. V., Gadzhiev N. K., Malhasyan V. A., Akopyan G. N., Prosyannikov M. Yu. Zabolevaemost' mochekamennoj bolezn'yu v Rossijskoj Federacii s 2005 po 2020 gg. [The incidence of urolithiasis in the Russian Federation from 2005 to 2020]. Eksperimental'naya i klinicheskaya urologiya = Experimental and Clinical Urology, 2022, vol. 15, no. 2, pp. 10–17.

3. Shevyrin A. A. Rezul'tativnost' distancionnoj udarno-volnovoj litotripsii mochevyh konkrementov u pacientov s mochekamennoj bolezn'yu [Comprehensively developed shockvolitional lithotripsy of urinary connectors in powerlifters with urolithiasis]. Urologicheskie vedomosti = Urological Report, 2017, vol. 7, no. S, pp. 125–126.

4. Popov S. V., Orlov I. N., Gadzhiev N. K., Borychev M. V., Basok S. M., Malevich S. M. Analiz effektivnosti razlichnyh metodov nefrolitotripsii [Analysis of the effectiveness of various methods of nephrolithotripsy]. Urologicheskie vedomosti = Urologic Vedomosti, 2016, vol. 6, no. 5, pp. 86–87.

5. Martov A. G., Dutov S. V., Andronov A. S., Tahaev R. A. Laser implantation nerolithotherapy in the treatment of a stone point. Moskovskaya medicina = Moscow Medicine, 2016, vol. S1, no. 12, pp. 149–150.

6. Popov S.V., Skryabin O.N., Orlov I.N., Borychev M.V., Malevich S.M., Basok S.M. Sravnitel'nyj analiz ul'tra-mini perkutannoj nefrolitotripsii i retrogradnoj nefrolitotripsii [Comparative analysis of ultra-mini percutaneous nephrolithotripsy and retrograde nephrolithotripsy]. Ural'skij medicinskij zhurnal = Ural Medical Journal, 2016, vol. 6, no. 139, pp. 42– 46.

7. Rogachikov V. V., Kudryashov A. V., Bruk Yu. F., Ignat'ev D. N. Perkutannaya nefrolitotripsiya: sravnenie standartnyh i miniinvazivnyh tekhnologij [Percutaneous nephrolithotripsy: comparison of standard and minimally invasive technologies]. Eksperimental'naya i klinicheskaya urologiya = Experimental and Clinical Urology, 2019, no. 2, pp. 60–69.

8. Chernega M. S. Diagnostika zakrytyh travm pochek na osnove nechetkoj logiki prinyatiya reshenij [Diagnostics of closed kidney injuries based on fuzzy logic of decision-making]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2014, vol. 13, no. 1, pp. 78–79.

9. Rossolovskij A. N., Chekhonackaya M. L., Zaharova N. B., Berezinec O. L., Emel'yanova N. V. Dinamicheskaya ocenka sostoyaniya pochechnoj parenhimy u bol'nyh posle distancionnoj udarno-volnovoj litotripsii kamnej pochek [Dynamic assessment of the state of renal parenchyma in patients after di-station shock wave lithotripsy of kidney stones]. Vestnik urologii = Bulletin of Urology, 2014, no. 2, pp. 3–12.

10. Borzunova N. S., Zhdanova T. V., Borzunov I. V., Tutunina M. M. Analiz pokazatelej perifericheskoj renal'noj gemodinamiki u pacientov s hronicheskimi zabolevaniyami pochek [Analysis of peripheral renal hemodynamics in patients with chronic kidney diseases]. Vestnik Ural'skoj medicinskoj akademicheskoj nauki = Bulletin of the Ural Medical Academic Science, 2014, vol. 1, no. 47, pp. 36–37.

11. Lindina M. L., Shishkin A. N., Volovnikova V. A. Osobennosti vnutripochechnoj gemodinamiki u pacientov s metabolicheskim sindromom [Features of intracranial hemodynamics in patients with metabolic syndrome]. Nefrologiya = Nephrology, 2015, vol. 19, no. 4, pp. 82–88.

12. Borzunova N. S. Ul'trazvukovaya dopplerografiya kak metod diagnostiki narushenij pochechnoj gemodinamiki pri hronicheskoj bolezni pochek i arterial'noj gipertenzii [Ultrasound dopplerography as a method of diagnosing renal hemodynamic disorders in chronic kidney disease and arterial hypertension]. Ural'skij medicinskij zhurnal = Ural Medical Journal, 2013, vol. 7, no. 112, pp. 142–149.

13. Shipilova D. A., Nagibovich O. A., Shchukina N. A. Vozmozhnosti dopplerografii v ocenke vnutripochechnoj gemodinamiki u bol'nyh saharnym diabetom 2-go tipa i hronicheskoj bolezn'yu pochek [The possibilities of dopplerography in the assessment of intrarenal hemodynamics in patients with type 2 diabetes mellitus and chronic kidney disease]. Vestnik Rossijskoj Voenno-medicinskoj akademii = Bulletin of the Russian Military Medical Academy, 2020, vol. 3, no. 71, pp. 99–102.

14. Dyudin M. V., Zuev I. V., Filist S. A., Chudinov S. M. Avtomaticheskie klassifikatory slozhno strukturiruemyh izobrazhenij na osnove mul'timetodnyh tekhnologij mnogokriterial'nogo vybora [Automatic classifiers of complex structured images based on multimethod technologies of multicriteria selection]. Voprosy radioelektroniki = Questions of Radioelectronics, 2015, no. 1, pp. 130–141.

15. Kapustin S. V., OuenR., Pimanov S. I. Ul'trazvukovoe issledovanie v urologii i nefrologii [Ultrasound examination in pathology and nephrology]. 2nd ed. Moscow, Umnyj doctor Publ., 2018. 176 p.

16. Filist S. A., Tomakova R. A., Shatalova O. V., Kuz'min A. A., Ali Kassim K. D. Metod klassifikacii slozhnostrukturiruemyh izobrazhenij na osnove samoorganizuyushchihsya nejrosetevyh struktur [The method of classification of complex structured images based on self-organizing neural network structures]. Radiopromyshlennost' = Radio Industry, 2016, no. 4, pp. 57–65.

17. Filist S. A., Ali Kassim K. D., Kuz'min A. A., Shatalova O. V., Alyab'ev E. A. Formirovanie priznakovogo prostranstva dlya zadach klassifikacii slozhnostrukturiruemyh izobrazhenij na osnove spektral'nyh okon i nejrosetevyh struktur [Formation of a feature space for classification problems of complex structured images based on spectral windows and neural network structures]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta = Proceedings of the Southwest State University, 2016, vol. 4, no. 67, pp. 56–68.

18. Korenevsky N. A., Seregin S. P., Rodionova S. N., Al-Kasasbeh R. T., Siplyj G. V., Alcaralleh A. A., Holimenko I. M., Alshamasin M. S., Ilyash M. U. Biotechnical system of differential diagnosis of serous and purulent pyelonephritis in pregnant women based on fuzzy logic for decision-making. Critical Reviews in Biomedical Engineering, 2021, vol. 49, no. 1, pp. 67–75.

19. Korenevskij N. A., Razumova K. V. Sintez nechetkih klassifikacionnyh pravil v mnogomernom prostranstve priznakov dlya medicinskih prilozhenij [Synthesis of fuzzy classification rules in a multidimensional feature space for medical applications]. Izvestiya YugoZapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2012, vol. 2, no. 1, pp. 223–227.

20. Safronov R. I., Rodionova S. N., Krikunova E. V., Starodubceva L. V., Sergeeva S. S., Titova A. V. Ispol'zovanie pokazatelej, harakterizuyushchih adaptacionnye mekhanizmy dlya ocenki urovnya zashchity organizma ot vozdejstviya vneshnih faktorov riska [The use of indicators characterizing adaptive mechanisms to assess the level of protection of the body from the effects of external risk factors]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2021, vol. 11, no. 4, pp. 163–179.

21. Korenevsky N. A., Petrovich S. S., Al-Kasasbeh R. T., Alcaralleh A. A., Rodionova S. N., Shakadan A. A., Yurievich I. M., Alshamasin M. S. Development of a biotechnical scheme using a fuzzy logic model for classifying the severity of pyelonephritis. International Journal of Medical Engineering and Computer Science, 2021, vol. 1, p. 1.


Review

For citations:


Kholimenko I.M., Seregin S.P., Rodionova S.N., Pugzhilis A.V. Methods for Assessing Renal Нemodynamics after Minimally lnvasive Treatment of Urolithiasis. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2024;14(1):24–35. (In Russ.) https://doi.org/10.21869/2223-1536-2024-14-1-24-35

Views: 316


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2223-1536 (Print)