127 research outputs found

    Dispersive Shock Wave, Generalized Laguerre Polynomials and Asymptotic Solitons of the Focusing Nonlinear Schr\"odinger Equation

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    We consider dispersive shock wave to the focusing nonlinear Schr\"odinger equation generated by a discontinuous initial condition which is periodic or quasi-periodic on the left semi-axis and zero on the right semi-axis. As an initial function we use a finite-gap potential of the Dirac operator given in an explicit form through hyper-elliptic theta-functions. The paper aim is to study the long-time asymptotics of the solution of this problem in a vicinity of the leading edge, where a train of asymptotic solitons are generated. Such a problem was studied in \cite{KK86} and \cite{K91} using Marchenko's inverse scattering technics. We investigate this problem exceptionally using the Riemann-Hilbert problems technics that allow us to obtain explicit formulas for the asymptotic solitons themselves that in contrast with the cited papers where asymptotic formulas are obtained only for the square of absolute value of solution. Using transformations of the main RH problems we arrive to a model problem corresponding to the parametrix at the end points of continuous spectrum of the Zakharov-Shabat spectral problem. The parametrix problem is effectively solved in terms of the generalized Laguerre polynomials which are naturally appeared after appropriate scaling of the Riemann-Hilbert problem in a small neighborhoods of the end points of continuous spectrum. Further asymptotic analysis give an explicit formula for solitons at the edge of dispersive wave. Thus, we give the complete description of the train of asymptotic solitons: not only bearing envelope of each asymptotic soliton, but its oscillating structure are found explicitly. Besides the second term of asymptotics describing an interaction between these solitons and oscillating background is also found. This gives the fine structure of the edge of dispersive shock wave.Comment: 36 pages, 5 figure

    Magnetic resonance imaging in recognition of ectopic pancreatic tissue (Clinical observation)

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    A rare clinical observation of retroperitoneal ectopy of pancreatic tissue with diligence to the kidney and jejunum is presented. For the first time, semiotics of ectopia is described according to the data of magnetic resonance imaging, which allows to determine with a high degree of reliability the belonging of the revealed structures to the tissues of the pancreas

    Π’ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½Π°Ρ бронхоскопия ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡΠΏΠΈΡ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Π² диагностикС ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠΉ Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠ±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ систСмы

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    The purpose: to assess the value of techniques of virtual bronchoscopy(VB) in improving the diagnostic information content of multislice computed tomography (MSCT) in the diagnosis and prevalence of neoplastic lesions of the tracheobronchial system (TBS).Materials and methods. Analyzed the data virtual bronchoscopy multislice computed tomography we have developed methods 87 patients with tumors of TBS.Results. A comprehensive analysis of native, postprocessing data and volumetric reconstructions was possible to more fully assess the nature of the changes to the topography, the extent and prevalence of neoplastic lesions of the tracheobronchial system. To carry out differential diagnostics of benign and malignant lesions, especially in stenotic lesions, when the execution of bronchofibroscopy was impossible. Signs of malignancy of the tumor had a wide base and destroys the adjacent cartilage structures, a rough bumpy surface, infiltration of the wall of the trachea, bronchus.Conclusion. WB MSCT optimal method of diagnosis, determining the probabilistic nature of neoplastic lesions of TBS, the prevalence of the process. When stenotic lesions of the trachea, WB MSCT is becoming the method of choice in assessing the extent of the process. ЦСль исслСдования: ΡƒΡ‚ΠΎΡ‡Π½ΠΈΡ‚ΡŒ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ бронхоскопии (Π’Π‘) Π² ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠΈ диагностичСской информативности ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡΠΏΠΈΡ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΊΠΎΠΌ- ΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ (МБКВ) Π² диагностикС ΠΈ распространСнности ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ пораТСния Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠ±Ρ€ΠΎΠ½Ρ…ΠΈ- альной систСмы (Π’Π‘Π‘).ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π΄Π°Π½Π½Ρ‹Π΅ Π’Π‘ МБКВ ΠΏΠΎ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ Π½Π°ΠΌΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ Ρƒ 87 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с опухолям Π’Π‘Π‘.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠšΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Π½Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ…, постпроцСссинговых ΠΈ Π΄Π°Π½Π½Ρ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΌΠ½Ρ‹Ρ… рСконструкций позволял Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»Π½ΠΎ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ ΠΏΡ€ΠΈΡ€ΠΎΠ΄Ρƒ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Ρ‚ΠΎΠΏΠΈΠΊΡƒ, ΠΏΡ€ΠΎΡ‚ΡΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΈ Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ пораТСния Π’Π‘Π‘, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€ΠΎΠ²Π΅ сти Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΡƒΡŽ диагностику доброкачСствСнного ΠΈ злокачСствСнного пораТСния, особСнно ΠΏΡ€ΠΈ стСно Π·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… пораТСниях, ΠΊΠΎΠ³Π΄Π° Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ бронхофиброскопии Π±Ρ‹Π»ΠΎ Π½Π΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ. ΠŸΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ злокачСствСнности ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π±Ρ‹Π»ΠΈ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ΅ основаниС с Ρ€Π°Π·Ρ€ΡƒΡˆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΄Π»Π΅ΠΆΠ°Ρ‰ΠΈΡ… хрящСвых структур, нСровная бугристая ΠΏΠΎΠ²Π΅Ρ€Ρ…Π½ΠΎΡΡ‚ΡŒ, ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΡ стСнки Ρ‚Ρ€Π°Ρ…Π΅ΠΈ, Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ².Π’Ρ‹Π²ΠΎΠ΄Ρ‹. Π’Π‘ МБКВ – ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ диагностики, опрСдСлСния вСроятностной ΠΏΡ€ΠΈΡ€ΠΎΠ΄Ρ‹ ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π’Π‘Π‘, распространСнности процСсса. ΠŸΡ€ΠΈ стСнотичСских пораТСниях Ρ‚Ρ€Π°Ρ…Π΅ΠΈ МБКВ Π’Π‘ становится ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π²Ρ‹Π±ΠΎΡ€Π° Π² ΠΎΡ†Π΅Π½ΠΊΠ΅ распространСнности процСсса

    Π’ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½Π°Ρ бронхоскопия ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡΠΏΠΈΡ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Π² диагностикС ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠΉ Ρ‚Ρ€Π°Ρ…Π΅ΠΈ

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    The aim of this study was to estimate diagnostic value of virtual bronchoscopy (VB) in patients with trachea neoplasms.Methods. Results of multidetector computed tomography with virtual bronchoscopy (MDCT"VB) were analyzed in 31 patients with neoplastic lesions of the trachea according to an original method developed in our institution.Results. The method allowed complete evaluation of location and extension of tumors, differentiation between benign and malignant tumors including those complicated by stenosis precluded from bronchoscopic examination. A sessileΒ tumor with destructed underlying tissue, a rough surface, infiltrated tracheal wall, tumor extension outside the trachea, and infiltration of the mediastinum were considered as malignant signs. Similar signs were seen in metastatic lesions of the trachea from lung carcinoma: the carina and the distal trachea were injured if the tumor grew from a main bronchus, a tracheal wall was injured if a lung tumor penetrated the mediastinum.Conclusion.Β MDCT"VB appears to be the optimal diagnostic method in tumors of the trachea. In cases of trachea stenosis, MDCT"VB is the preferable methodΒ for evaluation of the tumor extension. Virtual modeling of an intratracheal tumor could help to make a decision about radical treatment.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π΄Π°Π½Π½Ρ‹Π΅ Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ бронхоскопии, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡΠΏΠΈΡ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ ΠΏΠΎ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ авторской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… (n = 31) с ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹ΠΌΠΈ пораТСниями Ρ‚Ρ€Π°Ρ…Π΅ΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ ΠΈ Π²Ρ‚ΠΎΡ€ΠΈΡ‡Π½ΠΎΠ³ΠΎΒ Π³Π΅Π½Π΅Π·Π°.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΈ Π΄Π°Π½Π½ΠΎΠΌ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π΅ ΠΊ диагностикС ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΎΡ€Π³Π°Π½Π° появилась Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ Ρ‚ΠΎΠΏΠΈΠΊΠΈ, протяТСнности ΠΈ распространСнности процСсса, Π½ΠΎ ΠΈ провСдСния Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ диагностики доброкачСствСнного ΠΈ злокачСствСнного пораТСния, особСнно ΠΏΡ€ΠΈ ΡΡ‚Π΅Π½ΠΎΠ·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… пораТСниях, ΠΊΠΎΠ³Π΄Π° Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ фибробронхоскопии Π½Π΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠŸΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ злокачСствСнности ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ явились ΡˆΠΈΡ€ΠΎΠΊΠΎΠ΅ основаниС с Ρ€Π°Π·Ρ€ΡƒΡˆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΄Π»Π΅ΠΆΠ°Ρ‰ΠΈΡ… хрящСвых структур, нСровная бугристая ΠΏΠΎΠ²Π΅Ρ€Ρ…Π½ΠΎΡΡ‚ΡŒ, ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΡ стСнки Ρ‚Ρ€Π°Ρ…Π΅ΠΈ, Π²Ρ‹Ρ…ΠΎΠ΄ процСсса Π·Π° ΠΏΡ€Π΅Π΄Π΅Π»Ρ‹ ΠΎΡ€Π³Π°Π½Π° с ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ Ρ‚ΠΊΠ°Π½Π΅ΠΉ срСдостСния, распространСния Π½Π° ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄. ΠŸΡ€ΠΈ Π²Ρ‚ΠΎΡ€ΠΈΡ‡Π½Ρ‹Ρ… пораТСниях Ρ‚Ρ€Π°Ρ…Π΅ΠΈ ΠΏΡ€ΠΈ Ρ€Π°ΠΊΠ΅ Π»Π΅Π³ΠΊΠΎΠ³ΠΎ наблюдались Ρ‚Π΅ ΠΆΠ΅ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ – ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠ΅ ΠΊΠ°Ρ€ΠΈΠ½Ρ‹Β ΠΈ Π΄ΠΈΡΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΎΡ‚Π΄Π΅Π»ΠΎΠ² Ρ‚Ρ€Π°Ρ…Π΅ΠΈ – ΠΏΡ€ΠΈ ростС ΠΈΠ· Π³Π»Π°Π²Π½ΠΎΠ³ΠΎ Π±Ρ€ΠΎΠ½Ρ…Π°, стСнки Ρ‚Ρ€Π°Ρ…Π΅ΠΈ – ΠΏΡ€ΠΈ прорастании Ρ€Π°ΠΊΠ° Π»Π΅Π³ΠΊΠΎΠ³ΠΎ Π² срСдостСниС

    ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹ мСдицинской Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π² диагностикС Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΎΡ€Π³Π°Π½ΠΎΠ² дыхания

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    Based on the assessment of radiological, computed tomographic, magnetic resonance, ultrasonic and other methods of radial diagnostics 3820 patients with various respiratory diseases were examined. Radiological syndromes of the diseases were classified. An algorithm was created for usage of the methods depending on clinical situation. A diagnostic logic is demonstrated on the example of the lung transparence disturbance syndrome.На основании Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ… рСнтгСнологичСского, ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎ-томографичСского, магнитнорСзонансного, ΡƒΠ»ΡŒΡ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΡ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π»ΡƒΡ‡Π΅Π²ΠΎΠ³ΠΎ обслСдования 3820 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ патологичСскими измСнСниями органовдыхания систСматизированы рСнтгСнологичСскиС синдромы Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° схСма Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° примСнСния ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ Π² зависимости ΠΎΡ‚ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-диагностичСской ситуации. На ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ синдрома Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ прозрачности разбираСтся Π»ΠΎΠ³ΠΈΠΊΠ° постановки Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π°

    Metastasises small cell lung cancer, revealed at multislises computer tomography (MSCT)

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    For the purpose of specification of possibilities of MSCT in revealing metastases, estimation of semiotics of metastatic lesion of various organs by small cell lung cancer by means of MSCT it has been examined 372 patients (348 men, 24 women) with hystologically verified SCLC aging from 29 to 81 years. Metastases have been revealed in 205 of 372 patients (55,1 %). Most frequently in lungs - 97 patients (47,32 %), in 45 (21,95 % ) patients metastases were revealed in adrenal glands, in 67 (32,68 % ) patients metastases were revealed in brain, in 53 (25,85 % ) - in liver, in 39 (19 % ) patients - in bone. In 178 (86,83 % ) cases have been revealed plural metastases, at 145 patients that has made 70,7 % from all patients with metastases - metastases had several localizations. Metastases in liver, adrenal glands, bones had typical semiotics, around metastases in brain from 21,95 % of cases was not defined an edema, lesion did not cause dislocation syndrome. It distinguished metastases SCLC. Research has shown high sensitivity in revealing of metastases on MSCT and high prevalence of metastatic lesion at SCLC.Π‘ Ρ†Π΅Π»ΡŒΡŽ уточнСния возмоТностСй многосрСзовой ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Π² выявлСнии мСтастазов, ΠΎΡ†Π΅Π½ΠΊΠΈ сСмиотики мСтастатичСского пораТСния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΠΎΡ€Π³Π°Π½ΠΎΠ² ΠΏΡ€ΠΈ МКР/1 с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ МБКВ Π±Ρ‹Π»ΠΎ обслСдовано 372 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… (348 ΠΌΡƒΠΆΡ‡ΠΈΠ½, 24 ΠΆΠ΅Π½Ρ‰ΠΈΠ½Ρ‹) с гистологичСски Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ ΠΌΠ΅Π»ΠΊΠΎΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹ΠΌ Ρ€Π°ΠΊΠΎΠΌ Π»Π΅Π³ΠΊΠΎΠ³ΠΎ Π² возрастС ΠΎΡ‚ 29 Π΄ΠΎ 81 Π³ΠΎΠ΄Π°. ΠœΠ΅Ρ‚Π°ΡΡ‚Π°Π·Ρ‹ Π±Ρ‹Π»ΠΈ выявлСны Ρƒ 205 ΠΈΠ· 372 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… (55,1%). НаиболСС часто Π²Ρ‹ΡΠ²Π»ΡΠ»ΠΈΡΡŒ мСтастазы Π² Π»Π΅Π³ΠΊΠΈΠ΅ β€” 97 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ (47,32%), Ρƒ 45 (21,95%) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π±Ρ‹Π»ΠΈ выявлСны мСтастазы Π² Π½Π°Π΄ΠΏΠΎΡ‡Π΅Ρ‡Π½ΠΈΠΊΠΈ, Ρƒ 67 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (32,68%) Π±Ρ‹Π»ΠΈ выявлСны мСтастазы Π² Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠΉ ΠΌΠΎΠ·Π³, Ρƒ 53 (25,85%) - Π² ΠΏΠ΅Ρ‡Π΅Π½ΡŒ, Ρƒ 39 (19%) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² - Π² кости. Π’ 178 (86,83%) случаях Π±Ρ‹Π»ΠΈ выявлСны мноТСствСнныС мСтастазы, Ρƒ 145 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ‡Ρ‚ΠΎ составило 70,7 % ΠΎΡ‚ всСх Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с мСтастазами - мСтастазы Π½Π΅ΡΠΊΠΎΠ»ΡŒΠΊΠΈΡ… Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΉ. ΠœΠ΅Ρ‚Π°ΡΡ‚Π°Π·Ρ‹ Π² ΠΏΠ΅Ρ‡Π΅Π½ΡŒ, Π½Π°Π΄ΠΏΠΎΡ‡Π΅Ρ‡Π½ΠΈΠΊΠΈ, кости ΠΈΠΌΠ΅Π»ΠΈ Ρ‚ΠΈΠΏΠΈΡ‡Π½ΡƒΡŽ сСмиотику, Π²ΠΎΠΊΡ€ΡƒΠ³ мСтастазов Π² Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠΉ ΠΌΠΎΠ·Π³ с 21,95% случаСв Π½Π΅ ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΠ»ΠΎΡΡŒ ΠΎΡ‚Π΅ΠΊΠ°, ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠ΅ Π½Π΅ Π²Ρ‹Π·Ρ‹Π²Π°Π»ΠΎ дислокационного синдрома. Π­Ρ‚ΠΎ ΠΎΡ‚Π»ΠΈΡ‡Π°Π»ΠΎ мСтастазы ΠΌΠ΅Π»ΠΊΠΎΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ Ρ€Π°ΠΊΠ°. ИсслСдованиС ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ Π²Ρ‹ΡΠΎΠΊΡƒΡŽ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π² выявлСнии мСтастазов Π½Π° МБКВ ΠΈ Π²Ρ‹ΡΠΎΠΊΡƒΡŽ Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ мСтастатичСского пораТСния ΠΏΡ€ΠΈ МКР/1

    Π£Π»ΡŒΡ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ΅ исслСдованиС Π³Ρ€ΡƒΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅Ρ‚ΠΊΠΈ ΠΏΡ€ΠΈ пристСночных, Π΄ΠΈΠ°Ρ„Ρ€Π°Π³ΠΌΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΎΡ‡Π°Π³ΠΎΠ²Ρ‹Ρ… образованиях

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    Forty-nine patients with various pulmonary, pleural and mediastinal pathology were examined with ultrasound. The ultrasonic approach was chosen after radiological and computed tomographic results had been analyzed. Ultrasound is a highly effective method for determination of cystic changes, lung cancer spreading, differentiation of various pleural diseases, differential diagnostics of retrosternal goitre, thymomas and lymphomas. This method is an important part of radial diagnostics of respiratory diseases. Its data make an origin of pathology more precise.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡƒΠ»ΡŒΡ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ΅ исслСдованиС 49 Π±ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ с Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ Π»Π΅Π³ΠΊΠΈΡ…, ΠΏΠ»Π΅Π²Ρ€Ρ‹, срСдостСния. Π’Ρ‹Π±ΠΎΡ€ доступа осущСствлялся послС Π°Π½Π°Π»ΠΈΠ·Π° рСнтгСнологичСского, ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎ-томографичСского исслСдований . Π£Π—Π˜ β€” высокоэффСктивный ΠΌΠ΅Ρ‚ΠΎΠ΄ уточнСния кистозной ΠΏΡ€ΠΈΡ€ΠΎΠ΄Ρ‹ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, распространСнности Ρ€Π°ΠΊΠ° Π»Π΅Π³ΠΊΠΎΠ³ΠΎ, Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Ρ†ΠΈΠΈ Π³Π΅Π½Π΅Π·Π° ΠΏΠ»Π΅Π²Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ диагностики Π·Π°Π³Ρ€ΡƒΠ΄ΠΈΠ½Π½ΠΎΠ³ΠΎ Π·ΠΎΠ±Π°, Ρ‚ΠΈΠΌΠΎΠΌ. Π»ΠΈΠΌΡ„ΠΎΠΌ. ΠœΠ΅Ρ‚ΠΎΠ΄ β€” ваТная ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π°Ρ Π»ΡƒΡ‡Π΅Π²ΠΎΠΉ диагностики Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΎΡ€Π³Π°Π½ΠΎΠ² дыхания, Π΄Π°Π½Π½Ρ‹Π΅ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ ΡƒΡ‚ΠΎΡ‡Π½ΡΡŽΡ‚ ΠΏΡ€ΠΈΡ€ΠΎΠ΄Ρƒ, нозологию ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ
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