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Morphometric features of the venous vasculature in spleen as a fractal system

https://doi.org/10.18699/SSMJ20240308

Abstract

The aim of the study is to determine the morphometric features of splenic vasculature structural components (biounits, BU) of various kinds in individuals of different sex and age. Material and methods. The paper is based on the results of morphometric study of corrosion casts of splenic venous vasculature of 64 people (32 men, 32 women) at the age of 21 to 60 years (32 first period of adulthood, 32 second period of adulthood), deceased from sudden death and accidental causes. The study was conducted in compliance with ethical principles, including the World Medical Association’s Declaration of Helsinki. The diameters (D) and lengths (L) of the venous segments constituting BU were measured. Splenic venous vasculature was represented as a system consisting of three types of BU: 1 BU – the proximal segment diameter (D) is less than the sum of the diameters of distal segments (dmax and dmin) associated with it, D < dmax + dmin; 0 BU – D = dmax + dmin; 2 BU – D > dmax + dmin. Results. All three kinds of BUs were identified; there was a significant relationship between the relative number of BUs of different kinds, sex and age group; the sizes of all three kinds of BUs were determined; 1 BU was the largest and 0 BU was the smallest; 0 BU was the most symmetrical and 2 BU was the most asymmetrical; the relative number of 1 BU decreased, 0 BU increased, and 2 BU practically did not change in the direction from proximal to distal parts of the channel. BUs of the 1st kind have the largest diameter of proximal segments, while 2 BUs occupy the middle position in the range of values of the investigated parameters. The smallest diameter belongs to 0 BU. As for the length of segments L, the maximum values are typical for 1 BU, the minimum – for 2 BU, and the middle position in the series is occupied by 0 BU. Conclusions. The results obtained can serve as a foundation for the creation of a morphometric standard of splenic venous vasculature, and should be considered in its numerical modelling.

About the Authors

A. Sh. Dadashev
Kadyrov Chechen State University
Russian Federation

Ali Sh. Dadashev

364093, Grozny, Sheripova st., 32



I. S. Miltykh
Penza State University
Russian Federation

Ilia S. Miltykh

440026, Penza, Krasnaya st., 40



O. K. Zenin
Penza State University
Russian Federation

Oleg K. Zenin, doctor of medical sciences, professor

440026, Penza, Krasnaya st., 40



E. S. Kafarov
Kadyrov Chechen State University
Russian Federation

Edgar S. Kafarov, doctor of medical sciences, professor

364093, Grozny, Sheripova st., 32



References

1. Costi R., Castro Ruiz C., Romboli A., Wind P., Violi V., Zarzavadjian Le Bian A. Partial splenectomy: Who, when and how. A systematic review of the 2130 published cases. J. Pediatr. Surg. 2019;54(8):1527–1538. doi: 10.1016/j.jpedsurg.2018.11.010

2. Redmond H.P., Redmond J.M., Rooney B.P., Duignan J.P., Bouchier-Hayes D.J. Surgical anatomy of the human spleen. Br. J. Surg. 1989;76(2):198–201. doi: 10.1002/bjs.1800760230

3. Kothari P., Kumar A., Deshmukh A., Meisheri I. Splenic artery embolisation for portal hypertention in children. Afr. J. Paediatr. Surg. 2010;7(2):86. doi: 10.4103/0189-6725.62854

4. Dokoumetzidis A., Macheras P. A model for transport and dispersion in the circulatory system based on the vascular fractal tree. Ann. Biomed. Eng. 2003;31(3):284–293. doi: 10.1114/1.1555627

5. Dmitriev A., Dovgiallo Y., Zenin O. Conceptional models of the tree-shape arterial bed. Scr. Sci. Medica. 2008;40:47–49.

6. Zenin O.K., Miltykh I.S., Dmitriev A.V., Iurchenko O.O. Morphometric analysis of C.D. Murray`s law appliance for numerical modeling of vascular dichotomies of kidneys. Sib. J. Life Sci. Agric. 2021;13(3):170–192. [In Russian]. doi: 10.12731/2658-6649-2021-13-3-170-192

7. Kafarov E.S., Miltykh I., Dmitriev A.V., Zenin O.K. Anatomical variability of kidney arterial vasculature based on zonal and segmental topography. Heliyon. 2023;9(4):e15315. doi: 10.1016/j.heliyon.2023.e15315

8. Jorstad A., Nigro B., Cali C., Wawrzyniak M., Fua P., Knott G. NeuroMorph: A toolset for the morphometric analysis and visualization of 3D models derived from electron microscopy image stacks. Neuroinformatics. 2015;13(1):83–92. doi: 10.1007/s12021-014-9242-5

9. Avtandilov G.G. Fundamentals of quantitative pathological anatomy. Moscow: Meditsina, 2002. 237 p. [In Russian].

10. The R Project for Statistical Computing. Available at: https://www.R-project.org/

11. Wymer D.T., Patel K.P., Burke W.F., Bhatia V.K. Phase-contrast MRI: physics, techniques, and clinical applications. Radiographics. 2020;40(1):122–140. doi: 10.1148/rg.2020190039

12. Gao J., Wang Y., Ding Q. Comparison of the clinical value of transcranial Doppler ultrasound and computed tomography angiography for diagnosing ischemic cerebrovascular disease. J. Int. Med. Res. 2022;50(6):03000605211047718. doi: 10.1177/03000605211047718

13. Tang H., Hu N., Yuan Y., Xia C., Liu X., Zuo P., Stalder A.F., Schmidt M., Zhou X., Song B., Sun J. Accelerated time-of-flight magnetic resonance angiography with sparse undersampling and iterative reconstruction for the evaluation of intracranial arteries. Korean J. Radiol. 2019;20(2):265–274. doi: 10.3348/kjr.2017.0634

14. Vigneshwaran V., Sands G.B., LeGrice I.J., Smaill B.H., Smith N.P. Reconstruction of coronary circulation networks: A review of methods. Microcirculation. 2019;26(5):e12542. doi: 10.1111/micc.12542

15. Roux W. Über die Verzweigungen der Blutgefässe : eine morphologische Studie. Z. Naturwiss. 1878;12:205–266.

16. Murray C.D. The physiological principle of minimum work applied to the angle of branching of arteries. J. Gen. Physiol. 1926;9(6):835–841. doi: 10.1085/jgp.9.6.835

17. Uylings H.B.M. Optimization of diameters and bifurcation angles in lung and vascular tree structures. Bull. Math. Biol. 1977;39(5):509–520. doi: 10.1007/BF02461198

18. Zamir M. On fractal properties of arterial trees. J. Theor. Biol. 1999;197(4):517–526. doi: 10.1006/jtbi.1998.0892

19. Rozen R. Principle of optimality in biology. Moscow: Mir, 1969. 215 p. [In Russian].

20. Keelan J., Chung E.M.L., Hague J.P. Development of a globally optimised model of the cerebral arteries. Phys. Med. Biol. 2019;64(12):125021. doi: 10.1088/1361-6560/ab2479


Review

For citations:


Dadashev A.Sh., Miltykh I.S., Zenin O.K., Kafarov E.S. Morphometric features of the venous vasculature in spleen as a fractal system. Сибирский научный медицинский журнал. 2024;44(3):78-85. (In Russ.) https://doi.org/10.18699/SSMJ20240308

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ISSN 2410-2520 (Online)