Application of the diffusion-weighted images of the magnet-resonance tomography for prognostication of course of chronic renal disease in patients, suffering reno-cellular cancer after renal resection


Keywords: reno-cellular cancer; chronic renal disease; МRТ; diffusion-weighted images; measured coefficient of diffusion; dynamical renoscintigraphy

Abstract

Objective. To study the possibility of application of the diffusion-weighted images of the magnet resonance tomography (МRТ) for prognostication of the chronic renal disease (CHRD) development in the patients, suffering renal-cellular cancer (RCC) after renal resection.

Маterials and methods. In the investigation 44 patients, distributed into two groups, took part: in Group I (main) 24 patients were included, in whom for the first time a RCC was diagnosed in stages Т1аN0M0G1-G3, and Group II (control) - 20 patients without signs of RCC and disorders of аnatomic-functional state of the kidneys.

Results. Lowering of a measurable diffusion coefficient (MDC) іn intact part of cortex in the oncologically affected kidney on the diffusion-weighted images of МRТ in comparison with the MDC values of a normal renal cortex have served as a prognostic marker of lowering of velocity in glomerular filtration on ipsilateral side, what may be regarded as a condition for the CHRD development.Conclusion. Calculation of MDC on the diffusion-weighted images of MRT makes possible to prognosticate the lowering of the functional capacity of kidney, effected by the tumor, in the patients, suffering RCC stage T1а after its resection, what is significant for metaprophylaxis of the CHRD development in this patients.

References

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3. Mytsyk Y, Dutka I, Borys Y, Komnatska I, Shatynska-Mytsyk I, Farooqi AA, et al. Renal cell carcinoma: applicability of the apparent coefficient of the diffusion-weighted estimated by MRI for improving their differential diagnosis, histologic subtyping, and differentiation grade. Int Urol Nephrol. 2017;49(2):215-24. doi: 10.1007/s11255-016-1460-3.

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Author Biographies


S. M. Pasichnyk, Danylo Galytskyi Lviv National Medical University

Pasichnyk S. - MD, PhD (Med), Associate Professor
Department of Urology
Danylo Galytsky Lviv National Medical University,
69 Pekarska str. 79010 Ukraine
+38 (032) 275-76-32
doctua@rambler.ru
https://orcid.org/0000-0002-0706-9428


E. O. Stakhovsky, National Cancer Institute, Kyiv

Stakhovsky E., DSci (Med), Professor.
National cancer institute.
Head of the Research Department of Plastic and Reconstructive Oncourology,
Kyiv-03022 Ukraine, Lomonosova str, 33/43
+38 (044) 259-01-86
estakhovsky@yahoo.com
https://orcid.org/0000-0001-5677-8768


Yu. B. Borys, Danylo Galytskyi Lviv National Medical University

Borys Y., DSci (Med), Professor
Head of Department of Urology
Danylo Galytsky Lviv National Medical University,
69 Pekarska str. 79010 Ukraine
+38 (032) 275-76-32
volborys@ukr.net,
https://orcid.org/0000-0002-7510-5363


Yu. O. Mytsyk, Danylo Galytskyi Lviv National Medical University

Mytsyk Y. Associate Professor
Department of Urology
Danylo Galytsky Lviv National Medical University,
69 Pekarska str. 79010 Ukraine
+38 (032) 275-76-32
mytsyk.yulian@i.ua
http://orcid.org/0000-0002-8513-2349


I. Yu. Dutka, Меdical Centre «Euroclinic», Lviv

Dutka Ihor Yurievych - Associate Professor, MD., Ph.D.,
Medical center “Euroclinic”,
Lviv, Ukraine, Mykolaychuka, 9,
i.dutka@euroclinic.com.ua,
https://orcid.org/0000-0001-5539-4412


I. M. Komnatska, Меdical Centre «Euroclinic», Lviv

Komnatska Iryna Myroslavivna - MD.,
Medical center “Euroclinic”,
Lviv, Ukraine, Mykolaychuka, 9,
komnatska@gmail.com,
https://orcid.org/0000-0003-0769-7114

Published
2019-04-28
How to Cite
Pasichnyk, S. M., Stakhovsky, E. O., Borys, Y. B., Mytsyk, Y. O., Dutka, I. Y., & Komnatska, I. M. (2019). Application of the diffusion-weighted images of the magnet-resonance tomography for prognostication of course of chronic renal disease in patients, suffering reno-cellular cancer after renal resection. Klinicheskaia Khirurgiia, 86(4), 38-40. https://doi.org/10.26779/2522-1396.2019.04.38
Section
General Problems of Surgery

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