111 research outputs found
Value-focused approach in social and occupational mobility
It is offered to take into account value-focused thinking when a problem of social and occupational mobility in higher education institutions is considered. It is explored that professional education plays the most important role to form competences of the citizens allowing to adapt flexibly to changes β their social and occupational mobility. It is necessary to base on the values of the educational organization to provide a goal-setting in this organization: from strategic aims to the objectives of a certain discipline or educational programsΠ Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΡ ΡΠ΅Π½Π½ΠΎΡΡΠ½ΠΎ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΡΡΠ»Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ Π·Π°Π΄Π°ΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ ΡΡΡΠ΄Π΅Π½ΡΠΎΠ² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ. Π£ΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ, ΡΡΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ³ΡΠ°Π΅Ρ Π²Π°ΠΆΠ½Π΅ΠΉΡΡΡ ΡΠΎΠ»Ρ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Ρ Π³ΡΠ°ΠΆΠ΄Π°Π½ ΠΊΠΎΠΌΠΏΠ΅ΡΠ΅Π½ΡΠΈΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΡ
Π³ΠΈΠ±ΠΊΠΎ ΠΏΡΠΈΡΠΏΠΎΡΠ°Π±Π»ΠΈΠ²Π°ΡΡΡΡ ΠΊ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡΠΌ, β ΠΈΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ. ΠΠ΅Π»Π°Π΅ΡΡΡ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡ Π΅Π΅ ΡΠ΅Π»Π΅ΠΏΠΎΠ»Π°Π³Π°Π½ΠΈΠ΅ β ΠΎΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π»Π΅ΠΉ Π΄ΠΎ ΡΠ΅Π»Π΅ΠΉ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½ ΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌ
Adaptive Lattice Filters for Band-Inverse Covariance Matrix Approximations
It has been known since 1981 at least, that the Levinson (and Shur) algorithm can be applied to a non-stationary process with its associated arbitrary non-Toeplitz covariance matrix. However, in general case this generalized Levinson algorithm involves O(N 3 ) computations, so that there are no particular advantages over the usual methods of Choleski decomposition or of matrix inversion. Therefore, the main attention devoted to a special class of non-stationary processes with covariance matrices that have a finite "displacement rank" (or equivalently "Toeplitz distance"). For this class of non-stationary processes, adaptive lattice filters retained most of their computational and structural advantages. Another type of approximations for an arbitrary Hermitian covariance matrices that is based upon the so-called bandinverse extension, developed by H. Dym and I. Gohberg in Yet, long before these results of H. Dym and I. Gohberg were considered for applications in adaptive processing in [5]
Supramolecular recognition of estrogens via molecularly imprinted polymers
The isolation and preconcentration of estrogens from new types of biological samples (acellular and protein-free simulated body fluid) by molecularly imprinted solid-phase extraction has been described. In this technique, supramolecular receptors, namely molecularly imprinted polymers (MIPs) are used as a sorbent material. The recognition sites of MIPs were prepared by non-covalent multiple interactions and formed with the target 17Ξ²-estradiol as a template molecule. High-performance liquid chromatography with spectroscopic UV, selective, and a sensitive electrochemical CoulArray detector was used for the determination of 17Ξ²-estradiol, estrone, and estriol in simulated body fluid which mimicked human plasma
ΠΠΠΠ―ΠΠΠ Π ΠΠΠΠΠ§ΠΠ«Π₯ Π’ΠΠ₯ΠΠΠΠΠΠΠ Π‘ΠΠΠΠ ΠΠΠΠΠ― ΠΠ Π€ΠΠΠΠ§ΠΠ‘ΠΠΠ Π Π€ΠΠΠΠΠΠΠΠΠ§ΠΠ‘ΠΠΠ Π ΠΠΠΠΠ’ΠΠ Π ΠΠΠΠΠ’ΠΠ«Π₯ Π‘ΠΠΠΠΠ
The paper find out the regularities of physical and physiological development of the replacement young pigs, bred at different housing technologies. The experiment was conducted in OOO βSVKβ Krasnogvardeyskiy district (industrial technology) and βSHP Svobodny trudβ (traditional technology) of Novoselytsya districts of Stavropol Territory. In order to conduct the experiment on the basis of analogues, the Company selected bipedal pigs (50% large white (CB) + 50% Landrace (L)) aged one month. Each group had 25 pigs. In order to study the development of reproductive organs at the age of 6 and 8 months, a control slaughter of experimental animals was carried out (3 pigs from each group). The live body weight of 6-month-old pigs in OOO βSVKβ averaged 110 kg, while in OOO βSHP βSvobodnyy trudβ the animals weight was 67-70 kg. At the age of 8 months, the weight of animals in βSHP βSvobodnyy trudβ was 103-110 kg, and in OOO βSVKβ - 145-150 kg. At the age of 180 days the animal reproductive organs were at the initial stage of development. Only primary follicles of 0.1-0.3 cm in diameter were observed in ovaries weighing 3.1-3.5 g. The bipedal hybrids grown on the intensive technology were inferior to the pigs with the traditional technology of breeding for the development of reproductive organs. They had a lower uterine weight by 9.1%, ovarian weight by 12.9%, and the length of uterine and ovarian horns by 10.9 and 8.6%, respectively. Repair pigs grown according to the traditional technology had ovaries weighing 9.2 g and had fresh yellow bodies. When growing guinea pigs under industrial technology, the rejection of first-pigs amounted to 63.6%, while in the case of animals grown under traditional technology, this indicator was within 26.6%.Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ»ΠΎΡΡ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΠΌΠΎΠ½ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ»ΠΎΠ΄Π½ΡΠΊΠ° ΡΠ²ΠΈΠ½Π΅ΠΉ, Π²ΡΡΠ°ΡΠΈΠ²Π°Π΅ΠΌΡΡ
ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΡ
ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ. ΠΠΏΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ Π² ΠΠΠ Β«Π‘ΠΠΒ» ΠΡΠ°ΡΠ½ΠΎΠ³Π²Π°ΡΠ΄Π΅ΠΉΡΠΊΠΎΠ³ΠΎ (ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½Π°Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ) ΠΈ ΠΠΠ Β«Π‘Π₯Π βΠ‘Π²ΠΎΠ±ΠΎΠ΄Π½ΡΠΉ ΡΡΡΠ΄βΒ» (ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½Π°Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ) ΠΠΎΠ²ΠΎΡΠ΅Π»ΠΈΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΉΠΎΠ½ΠΎΠ² Π‘ΡΠ°Π²ΡΠΎΠΏΠΎΠ»ΡΡΠΊΠΎΠ³ΠΎ ΠΊΡΠ°Ρ. ΠΠ»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠΏΡΡΠ° ΠΏΠΎ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ Π°Π½Π°Π»ΠΎΠ³ΠΎΠ² ΠΎΡΠΎΠ±ΡΠ°Π»ΠΈ Π΄Π²ΡΡ
ΠΏΠΎΡΠΎΠ΄Π½ΡΡ
ΡΠ²ΠΈΠ½ΠΎΠΊ (50% ΠΊΡΡΠΏΠ½Π°Ρ Π±Π΅Π»Π°Ρ (ΠΠ) +50% Π»Π°Π½Π΄ΡΠ°Ρ (Π)) Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΡΡΠ°. Π ΠΊΠ°ΠΆΠ΄ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ Π±ΡΠ»ΠΎ ΠΏΠΎ 25 ΡΠ²ΠΈΠ½ΠΎΠΊ. Π‘ ΡΠ΅Π»ΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΠ³Π°Π½ΠΎΠ² Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 6 ΠΈ 8 ΠΌΠ΅ΡΡΡΠ΅Π² ΠΏΡΠΎΠ²Π΅Π»ΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΡΠΉ ΡΠ±ΠΎΠΉ ΠΏΠΎΠ΄ΠΎΠΏΡΡΠ½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
(ΠΏΠΎ 3 Π³ΠΎΠ»ΠΎΠ²Ρ ΠΈΠ· ΠΊΠ°ΠΆΠ΄ΠΎΠΉ Π³ΡΡΠΏΠΏΡ). ΠΠΈΠ²Π°Ρ ΠΌΠ°ΡΡΠ° 6-ΠΌΠ΅ΡΡΡΠ½ΡΡ
ΡΠ²ΠΈΠ½ΠΎΠΊ Π² ΠΠΠ Β«Π‘ΠΠΒ» ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ 110 ΠΊΠ³, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ Π² ΠΠΠ Β«Π‘Π₯Π βΠ‘Π²ΠΎΠ±ΠΎΠ΄Π½ΡΠΉ ΡΡΡΠ΄βΒ» ΠΌΠ°ΡΡΠ° ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΡΠ°Π²Π½ΡΠ»Π°ΡΡ 67β 70 ΠΊΠ³. Π 8-ΠΌΠ΅ΡΡΡΠ½ΠΎΠΌ Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΌΠ°ΡΡΠ° ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π² ΠΠΠ Β«Π‘Π₯Π βΠ‘Π²ΠΎΠ±ΠΎΠ΄Π½ΡΠΉ ΡΡΡΠ΄βΒ» ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 103β110, Π° Π² ΠΠΠ Β«Π‘ΠΠΒ» β 145-150 ΠΊΠ³. Π Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 180 Π΄Π½Π΅ΠΉ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΡΠ΅ ΠΎΡΠ³Π°Π½Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π½Π°Ρ
ΠΎΠ΄ΡΡΡΡ Π½Π° Π½Π°ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ°Π΄ΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ. Π ΡΠΈΡΠ½ΠΈΠΊΠ°Ρ
ΠΌΠ°ΡΡΠΎΠΉ 3,1β3,5 Π³ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΈΡΡ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΠ΅ ΡΠΎΠ»Π»ΠΈΠΊΡΠ»Ρ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠΎΠΌ 0,1β0,3 ΡΠΌ. ΠΠ²ΡΡ
ΠΏΠΎΡΠΎΠ΄Π½ΡΠ΅ Π³ΠΈΠ±ΡΠΈΠ΄Ρ, Π²ΡΡΠ°ΡΠ΅Π½Π½ΡΠ΅ ΠΏΠΎ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΡΡΡΡΠΏΠ°Π»ΠΈ ΡΠ²ΠΈΠ½ΠΊΠ°ΠΌ Ρ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ Π²ΡΡΠ°ΡΠΈΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ³Π°Π½ΠΎΠ² ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ. ΠΠ°ΡΡΠ° ΠΌΠ°ΡΠΊΠΈ Ρ Π½ΠΈΡ
Π±ΡΠ»Π° ΠΌΠ΅Π½ΡΡΠ΅ Π½Π° 9,1%, ΠΌΠ°ΡΡΠ° ΡΠΈΡΠ½ΠΈΠΊΠΎΠ² β Π½Π° 12,9, Π° Π΄Π»ΠΈΠ½Π° ΡΠΎΠ³ΠΎΠ² ΠΌΠ°ΡΠΊΠΈ ΠΈ ΡΠΉΡΠ΅Π²ΠΎΠ΄ΠΎΠ² ΠΌΠ΅Π½ΡΡΠ΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ Π½Π° 10,9 ΠΈ 8,6%. Π£ ΡΠ΅ΠΌΠΎΠ½ΡΠ½ΡΡ
ΡΠ²ΠΈΠ½ΠΎΠΊ, Π²ΡΡΠ°ΡΠ΅Π½Π½ΡΡ
ΠΏΠΎ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΌΠ°ΡΡΠ° ΡΠΈΡΠ½ΠΈΠΊΠΎΠ² ΡΠΎΡΡΠ°Π²Π»ΡΠ»Π° 9,2 Π³ ΠΈ Π² Π½ΠΈΡ
ΠΈΠΌΠ΅Π»ΠΈΡΡ ΡΠ²Π΅ΠΆΠΈΠ΅ ΠΆΠ΅Π»ΡΡΠ΅ ΡΠ΅Π»Π°. ΠΡΠΈ Π²ΡΡΠ°ΡΠΈΠ²Π°Π½ΠΈΠΈ ΡΠ΅ΠΌΠΎΠ½ΡΠ½ΡΡ
ΡΠ²ΠΈΠ½ΠΎΠΊ ΠΏΡΠΈ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π²ΡΠ±ΡΠ°ΠΊΠΎΠ²ΠΊΠ° ΡΠ²ΠΈΠ½ΠΎΠΌΠ°ΡΠΎΠΊ-ΠΏΠ΅ΡΠ²ΠΎΠΎΠΏΠΎΡΠΎΡΠΎΠΊ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 63,6%, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
, Π²ΡΡΠ°ΡΠ΅Π½Π½ΡΡ
ΠΏΠΎ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΡΡΠΎΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Π±ΡΠ» Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
26,6%
ΠΠ Π’ ΠΈ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΡ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ Π²Π΅Π½ Π½ΠΈΠΆΠ½ΠΈΡ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΡΡΠ΅ΠΉ. Π§Π°ΡΡΡ III. ΠΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΠ’-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠΉ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ
As a result of solving a large number of technical problems (increasing the area of anatomical coverage and scanning speed, increasing the signal-to-noise ratio, improving spatial and contrast resolution, building a color image quality in 3D mode, significantly reducing the radiation dose), the method of computed tomography imaging of the vascular system has won a leading position in the world today. However, if CT Angiography is used everywhere and daily in the diagnosis of arterial pathology, this method has not yet received clinical recognition in patients with chronic venous diseases.This review of the literature analyzes the scientific data published in the world on the results of CT Venography. Methods of indirect and direct contrast CT Venography are described. The possibility of using contrast CT Venography in the diagnosis of deep vein thrombosis is shown, where the accuracy, sensitivity and specificity of the method according to foreign authors is up to 97.9%, 96.8% and 100%, respectively. This method acquires particular importance in the diagnosis of pelvic vein thrombosis and inferior Vena cava, where the informative value of USDS is lower. The second clinical direction that is actively developing today is the combined use of CT Venography and CT Angiopulmonography in the diagnosis of a deadly complication of pulmonary embolism. The prospects of these attempts are preferable by the following advantages: the single-time study and the absence of the need for additional administration of contrast agents, the speed of scanning, and obtaining additional information about the state of the peripheral venous system in patients with venous thromboembolism.Another and irreplaceable tool of contrast-enhanced CT Venography can become in the study of the features of the topographic and anatomical structure of the venous bed. Using their own research, the authors demonstrate the possibilities of direct CT Venography in the visualization of the venous system of the lower extremities.The need for more accurate topical diagnostics with 3D visualization of the venous system of the lower extremities and pelvis by CT-Venography is due to the growing interest in recent years of vascular and interventional surgeons to test and more actively implement endovasal methods of correction of venous blood flow in phlebological practice.Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°Ρ (ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ Π·ΠΎΠ½Ρ Π°Π½Π°ΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠΊΡΡΡΠΈΡ, ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ, ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΡΠ²Π΅ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ Π² 3D-ΡΠ΅ΠΆΠΈΠΌΠ΅, Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π΄ΠΎΠ·Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ) ΠΌΠ΅ΡΠΎΠ΄ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎ-ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π·Π°Π²ΠΎΠ΅Π²Π°Π» Π½Π° ΡΠ΅Π³ΠΎΠ΄Π½Ρ Π² ΠΌΠΈΡΠ΅ Π»ΠΈΠ΄ΠΈΡΡΡΡΡΡ ΠΏΠΎΠ·ΠΈΡΠΈΡ. ΠΠ΄Π½Π°ΠΊΠΎ Π΅ΡΠ»ΠΈ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ Π°ΡΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΠ’-Π°Π½Π³ΠΈΠΎΠ³ΡΠ°ΡΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ ΠΏΠΎΠ²ΡΠ΅ΠΌΠ΅ΡΡΠ½ΠΎ ΠΈ Π΅ΠΆΠ΅Π΄Π½Π΅Π²Π½ΠΎ, ΡΠΎ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ Π²Π΅Π½ Π΄Π°Π½Π½ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄ Π΄ΠΎ ΡΠΈΡ
ΠΏΠΎΡ Π½Π΅ ΠΏΠΎΠ»ΡΡΠΈΠ» ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΈΠ·Π½Π°Π½ΠΈΡ.Π Π΄Π°Π½Π½ΠΎΠΌ ΠΎΠ±Π·ΠΎΡΠ΅ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ Π°Π½Π°Π»ΠΈΠ· ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΌΠΈΡΠ΅ Π½Π°ΡΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°Ρ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ. ΠΠΏΠΈΡΠ°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π½Π΅ΠΏΡΡΠΌΠΎΠΉ ΠΈ ΠΏΡΡΠΌΠΎΠΉ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠΉ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠΉ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΡΡΠΎΠΌΠ±ΠΎΠ·Π° Π³Π»ΡΠ±ΠΎΠΊΠΈΡ
Π²Π΅Π½, Π³Π΄Π΅ ΡΠΎΡΠ½ΠΎΡΡΡ, ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΈ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Π°, ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
Π°Π²ΡΠΎΡΠΎΠ², ΡΠΎΡΡΠ°Π²Π»ΡΡΡ Π΄ΠΎ 97,9, 96,8 ΠΈ 100% ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. ΠΡΠΎΠ±ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π΄Π°Π½Π½ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΡΡΠΎΠΌΠ±ΠΎΠ·Π° Π²Π΅Π½ ΡΠ°Π·Π° ΠΈ Π½ΠΈΠΆΠ½Π΅ΠΉ ΠΏΠΎΠ»ΠΎΠΉ Π²Π΅Π½Ρ, Π³Π΄Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΎΡΡΡ Π£ΠΠΠ‘ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ Π½ΠΈΠΆΠ΅. ΠΡΠΎΡΡΠΌ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ, ΠΈΠΌΠ΅ΡΡΠΈΠΌ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ΅Π³ΠΎΠ΄Π½Ρ, ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ ΠΈ ΠΠ’-Π°Π½Π³ΠΈΠΎΠΏΡΠ»ΡΠΌΠΎΠ½ΠΎΠ³ΡΠ°ΡΠΈΠΈ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΡΠΌΠ΅ΡΡΠ΅Π»ΡΠ½ΠΎ ΠΎΠΏΠ°ΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΡ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ. ΠΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΡΠΈΡ
ΠΏΠΎΠΏΡΡΠΎΠΊ ΠΏΡΠΎΠ΄ΠΈΠΊΡΠΎΠ²Π°Π½Π° ΡΠ»Π΅Π΄ΡΡΡΠΈΠΌΠΈ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π°ΠΌΠΈ: ΠΎΠ΄Π½ΠΎΠΊΡΠ°ΡΠ½ΠΎΡΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ΠΌ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°, ΡΠΊΠΎΡΠΎΡΡΡΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΠΈ ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π²Π΅Π½ΠΎΠ·Π½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ.ΠΡΠ΅ ΠΎΠ΄Π½ΠΈΠΌ ΠΈ Π½Π΅Π·Π°ΠΌΠ΅Π½ΠΈΠΌΡΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠΌ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎ-ΡΡΠΈΠ»Π΅Π½Π½Π°Ρ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΡ ΠΌΠΎΠΆΠ΅Ρ ΡΡΠ°ΡΡ Π² ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΡΠΎΠΏΠΎΠ³ΡΠ°ΡΠΎΠ°Π½Π°ΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΠΎΠ΅Π½ΠΈΡ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠ³ΠΎ ΡΡΡΠ»Π°. ΠΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π°Π²ΡΠΎΡΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΡΠΌΠΎΠΉ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ Π² Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π½ΠΈΠΆΠ½ΠΈΡ
ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΡΡΠ΅ΠΉ.ΠΠ΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΠΎΠΉ ΡΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Ρ 3D-Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π½ΠΈΠΆΠ½ΠΈΡ
ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΡΡΠ΅ΠΉ ΠΈ ΡΠ°Π·Π° ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° Π½Π°ΡΠ°ΡΡΠ°ΡΡΠΈΠΌ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠΌ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
ΠΈ ΠΈΠ½ΡΠ΅ΡΠ²Π΅Π½ΡΠΈΠΎΠ½Π½ΡΡ
Ρ
ΠΈΡΡΡΠ³ΠΎΠ² ΠΊ Π°ΠΏΡΠΎΠ±Π°ΡΠΈΠΈ ΠΈ Π±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΠΈΠ²Π½ΠΎΠΌΡ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ Π²ΠΎ ΡΠ»Π΅Π±ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΡΡ ΠΏΡΠ°ΠΊΡΠΈΠΊΡ ΡΠ½Π΄ΠΎΠ²Π°Π·Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ°
ΠΠ Π’- Π ΠΠ’-Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΡ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ Π²Π΅Π½ Π½ΠΈΠΆΠ½ΠΈΡ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΡΡΠ΅ΠΉ Π§Π°ΡΡΡ II. ΠΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΠ Π’-ΠΈΡΡΠ»Π΅Π»ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΡΡΠΎΠΌΠ±ΠΎΠ·Π° Π³Π»ΡΠ±ΠΎΠΊΠΈΡ Π²Π΅Π½
In this literature review, the analysis of the studies of venous blood flow pathology in the inferior Vena cava system using magnetic resonance imaging (MRI) is carried out. Special attention is paid to the attempts made to use this method in the diagnosis of chronic lower limb vein disorders (CVD) through magnetic resonance venography (MRV). Historically and methodically, the gradual introduction of MRV methods in the diagnosis of lower limb vein thrombosis (LEDVT) and venous thromboembolism (VTE) has been shown.Methods of non-contrast MRV based on the effect of blood flow, as in the case of MR-Angiography, are divided into two principal groups: methods based on the amplitude effects of Time-of-Flight (TOF) and methods based on Phase Contrast effects (PC). Techniques for conducting contrast-free MRV are described in detail. Attention is paid to pulse sequences used in the world for visualization of veins in contrast-free MRV in TOF and PC mode (FR-FBI, SPADE, SSFP) and post-processing methods: 2D-TOF MRV FLASH, 2D-TOF MRV CRASS, FIPS, VED, VENS.Contrast-enhanced MRV (CE MRV) is based on the use of βblood poolβ contrast agents, which feature the ability to form stable compounds with blood plasma proteins. Worldwidesubstances with magnetic and supermagnetic properties based on gadolinium or iron oxide are used as contrast agents for CE MRV. The result of using these contrast agents is an increase in the quality of visualization due to a better signal to noise ratio (SNR) using 3D image processing (3D CE MRV) using fast sequences: GRE, TFLAS, VESPA, CAT, in conditions of direct and indirect CE MRV.It is noted that in recent years, certain restrictions have been imposed on certain linear contrast agents containing gadolinium in their further use. Therefore, for the purpose of CE MRV, it is efficientl to use only cyclic contrast agents to avoid unnecessary risks.Contrast-free MRV has again received intensive development in recent years, due to the restrictions imposed, one of these methods is direct thrombus imaging (Direct Thrombus Imaging β DTI or Magnetic Resonance Direct Thrombus Imaging - MRDTI) using fast pulse sequences: bSSFP, BBTI, DANTE. The latest research on this LEDVT diagnostic method was published in 2019 and has shown high diagnostic value.For all the most commonly used methods of MRV, specificity and sensitivity are shown.Further MRV in patients with CVD and DVT is a promising diagnostic task in modern phlebology. MRV should be introduced into clinical practice more actively than it is today.Π Π΄Π°Π½Π½ΠΎΠΌ ΠΎΠ±Π·ΠΎΡΠ΅ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ Π°Π½Π°Π»ΠΈΠ· ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ° Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ Π½ΠΈΠΆΠ½Π΅ΠΉ ΠΏΠΎΠ»ΠΎΠΉ Π²Π΅Π½Ρ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-ΡΠ΅Π·ΠΎΠ½Π°Π½ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ (Magnetic Resonance Imaging β MRI). ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΡΡΡΠΌ ΠΏΠΎΠΏΡΡΠΊΠ°ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π²Π΅Π½ Π½ΠΈΠΆΠ½ΠΈΡ
ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΡΡΠ΅ΠΉ (Chronic Venous Disorders β CVD) ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-ΡΠ΅Π·ΠΎΠ½Π°Π½ΡΠ½ΠΎΠΉ Π²Π΅Π½ΠΎΠ³ΡΠ°ΡΠΈΠΈ (MRV). ΠΡΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ ΠΏΠΎΡΡΠ°ΠΏΠ½ΠΎΠ΅ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² MRV Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΡ ΡΡΠΎΠΌΠ±ΠΎΠ·Π° Π²Π΅Π½ Π½ΠΈΠΆΠ½ΠΈΡ
ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΡΡΠ΅ΠΉ (LEDVT) ΠΈ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠ³ΠΎ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠ·ΠΌΠ° (VTE).ΠΠ΅ΡΠΎΠ΄Ρ Π±Π΅ΡΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠΉ MRV, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° ΡΡΡΠ΅ΠΊΡΠ΅ ΠΏΠΎΡΠΎΠΊΠ° ΠΊΡΠΎΠ²ΠΈ, ΠΊΠ°ΠΊ ΠΈ Π² ΡΠ»ΡΡΠ°Π΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ MR-Angiography, ΠΏΠΎΠ΄ΡΠ°Π·Π΄Π΅Π»ΡΡΡΡΡ Π½Π° Π΄Π²Π΅ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈΠ°Π»ΡΠ½ΡΠ΅ Π³ΡΡΠΏΠΏΡ: ΠΌΠ΅ΡΠΎΠ΄Ρ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΡΡ
ΡΡΡΠ΅ΠΊΡΠ°Ρ
Π²ΡΠ΅ΠΌΡ-ΠΏΡΠΎΠ»Π΅ΡΠ° (Time-of-Flight β TOF), ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° ΡΠ°Π·ΠΎΠ²ΡΡ
ΡΡΡΠ΅ΠΊΡΠ°Ρ
(Phase Contrast β PC). Π’Π΅Ρ
Π½ΠΈΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π±Π΅ΡΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠΉ MRV ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΠΎΠΏΠΈΡΠ°Π½Ρ. Π£Π΄Π΅Π»Π΅Π½ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΈΠΌΠΏΡΠ»ΡΡΠ½ΡΠΌ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΡΠΌ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠΌ Π² ΠΌΠΈΡΠ΅ Π΄Π»Ρ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π²Π΅Π½ ΠΏΡΠΈ Π±Π΅ΡΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠΉ MRV Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ TOF ΠΈ Π Π‘ (FR-FBI, SPADE, SSFP), ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌ ΠΏΠΎΡΡΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ: 2D-TOF MRV FLASH, 2D-TOF MRV CRASS, FIPS, VED, VENS.Π ΠΎΡΠ½ΠΎΠ²Π΅ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎ-ΡΡΠΈΠ»Π΅Π½Π½ΠΎΠΉ MRV (Contrast-Enhanced MRV β CE MRV) Π»Π΅ΠΆΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΡΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² βΠΏΡΠ»Π° ΠΊΡΠΎΠ²ΠΈβ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ ΠΊΠΎΡΠΎΡΡΡ
ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²ΡΠ²Π°ΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΡΠ΅ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΡ Ρ Π±Π΅Π»ΠΊΠ°ΠΌΠΈ ΠΏΠ»Π°Π·Ρ ΠΊΡΠΎΠ²ΠΈ. Π ΠΌΠΈΡΠ΅ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΡΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² Π΄Π»Ρ CE MRV ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ Π²Π΅ΡΠ΅ΡΡΠ²Π°, ΠΎΠ±Π»Π°Π΄Π°ΡΡΠΈΠ΅ ΠΌΠ°Π³Π½ΠΈΡΠ½ΡΠΌΠΈ ΠΈ ΡΡΠΏΠ΅ΡΠΌΠ°Π³Π½ΠΈΡΠ½ΡΠΌΠΈ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π³Π°Π΄ΠΎΠ»ΠΈΠ½ΠΈΡ ΠΈΠ»ΠΈ ΠΎΠΊΡΠΈΠ΄Π° ΠΆΠ΅Π»Π΅Π·Π°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΡΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π·Π° ΡΡΠ΅Ρ Π»ΡΡΡΠ΅Π³ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ (Signal to Noise Ratio β SNR) Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ 3D (3D-CE MRV) Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π±ΡΡΡΡΡΡ
ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠ΅ΠΉ: GRE, TFLAS, VESPA, CAT Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΡΠΌΠΎΠΉ ΠΈ Π½Π΅ΠΏΡΡΠΌΠΎΠΉ Π‘E MRV.ΠΡΠΌΠ΅ΡΠ΅Π½ΠΎ, ΡΡΠΎ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅Π΅ Π²ΡΠ΅ΠΌΡ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΡΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ², ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΡ
Π³Π°Π΄ΠΎΠ»ΠΈΠ½ΠΈΠΉ, Π² ΠΈΡ
Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠ΅ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ Ρ ΡΠ΅Π»ΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π‘E MRV ΡΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡ ΡΠΎΠ»ΡΠΊΠΎ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΡΠ΅ Π²Π΅ΡΠ΅ΡΡΠ²Π°, ΡΡΠΎΠ±Ρ ΠΈΠ·Π±Π΅ΠΆΠ°ΡΡ Π½Π΅ΠΎΠΏΡΠ°Π²Π΄Π°Π½Π½ΡΡ
ΡΠΈΡΠΊΠΎΠ².ΠΠ΅ΡΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½Π°Ρ MRV Π²Π½ΠΎΠ²Ρ ΠΏΠΎΠ»ΡΡΠΈΠ»Π° ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ Π² ΡΠ²ΡΠ·ΠΈ Ρ Π²Π²Π΅Π΄Π΅Π½Π½ΡΠΌΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡΠΌΠΈ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· ΡΠ°ΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΡΠ°Π» ΠΏΡΡΠΌΠ°Ρ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΡΠΎΠΌΠ±Π° (Direct Thrombus Imaging β DTI ΠΈΠ»ΠΈ Magnetic Resonance Direct Thrombus Imaging β MRDTI) Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π±ΡΡΡΡΡΡ
ΠΈΠΌΠΏΡΠ»ΡΡΠ½ΡΡ
ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠ΅ΠΉ: bSSFP, BBTI, DANTE. ΠΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ LEDVT Π±ΡΠ»ΠΈ ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Ρ Π² 2019 Π³. ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π²ΡΡΠΎΠΊΡΡ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΡΡ ΡΠ΅Π½Π½ΠΎΡΡΡ.Π ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ Π²ΡΠ΅Ρ
Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ MRV ΠΏΠΎΠΊΠ°Π·Π°Π½Π° ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡ ΠΈ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ.ΠΠ°Π»ΡΠ½Π΅ΠΉΡΠ΅Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ MRV Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ CVD ΠΈ DVT ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ»Π΅Π±ΠΎΠ»ΠΎΠ³ΠΈΠΈ. MRV Π΄ΠΎΠ»ΠΆΠ½Π° Π²Π½Π΅Π΄ΡΡΡΡΡΡ Π² ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΡΡ ΠΏΡΠ°ΠΊΡΠΈΠΊΡ Π±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΠΈΠ²Π½ΠΎ, ΡΠ΅ΠΌ ΡΡΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΡΠ΅Π³ΠΎΠ΄Π½Ρ
Polymers imprinted with three REG1B peptides for electrochemical determination of Regenerating Protein 1B, a urinary biomarker for pancreatic ductal adenocarcinoma
Three peptides (each containing 13β18 amino acids) were synthesized and used as templates for molecular imprinting and epitope recognition of the Regenerating Protein 1B (REG1B), which is one of the urinary biomarkers for pancreatic ductal adenocarcinoma (PDAC). Poly(ethylene-co-vinyl alcohol)s were employed as the host for molecular imprinting of the peptides. Following their preparation, the molecularly imprinted polymers (MIP) were examined by cyclic voltammetry. The electrochemical responses of a screen-printed gold substrate coated with the MIP were measured at a working voltage of 300 mV (vs. Ag/AgCl); the entire protein and the peptides gave similar responses at concentrations of <1.0 pgβ
mLβ1, with detection limits as low as 0.1 pgβ
mLβ1. Urine samples from healthy and PDAC patients were then analyzed by using this modified gold electrode, and the results are in agreement with data obtained with ELISA
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