55 research outputs found

    The Deformation Stimulated Luminescence in KCl, KBr and KI Crystals

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    Currently, strengthening of the intensity of luminescence in alkali halide crystals (AHC) at lattice symmetry lowering is discussed as a promising direction for the development of scintillation detectors. In this regard, for the study of anion excitons and radiation defects in the AHC anion sublattice at deformation, the crystals with the same sizes of cations and different sizes of anions were chosen. In the X-ray spectra of KCl at 10 K, the luminescence at 3.88 eV; 3.05 eV and 2.3 eV is clearly visible. The luminescence at 3.05 eV corresponds to the tunneling recharge [F*, H]. Luminescence at 3.88 eV is quenched in the region of thermal destruction of F'-centers and characterizes tunneling recharge of F', VK-centers. In KCl at 90 K, the luminescence of self-trapped excitons (STE) is completely absent. In KBr at deformation not only STE luminescence, but also deformation stimulated luminescence at 3.58 eV were recorded, the last one corresponds to tunneling recharge of F', VK-centers. In KI crystal at 10 K and 90 K at deformation, only STE luminescence is enhanced. There are no deformation luminescence bands in KI compares with KBr and KCl crystals

    ΠœΠΎΡ€Ρ„ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΌΡƒΠΊΠΎΡ†ΠΈΠ»ΠΈΠ°Ρ€Π½ΠΎΠΉ транспортной систСмы ΠΏΡ€ΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ хроничСском нСобструктивном Π±Ρ€ΠΎΠ½Ρ…ΠΈΡ‚Π΅

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    Π’ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ°Ρ… мСстной нСспСцифичСской Π·Π°Ρ‰ΠΈΡ‚Ρ‹ Π»Π΅Π³ΠΊΠΈΡ… Π²Π°ΠΆΠ½ΡƒΡŽ Ρ€ΠΎΠ»ΡŒ отводят ΠΌΡƒΠΊΠΎΡ†ΠΈΠ»ΠΈΠ°Ρ€Π½ΠΎΠΉ транспортной систСмС, Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ опрСдСляСтся Π³Π»Π°Π²Π½Ρ‹ΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒΡŽ Ρ†ΠΈΠ»ΠΈΠ°Ρ€Π½ΠΎΠ³ΠΎ Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π° Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ эпитСлия ΠΈ рСологичСскими свойствами Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ сСкрСта

    Π‘ΠΊΡ€ΠΈΠ½ΠΈΠ½Π³ Π»Π°Ρ‚Π΅Π½Ρ‚Π½ΠΎΠΉ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π°Π»Π»Π΅Ρ€Π³Π΅Π½Π° Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½ΠΎΠ³ΠΎ Ρ€Π΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½Ρ‚Π½ΠΎΠ³ΠΎ

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    InΒ recent years theΒ significant deterioration ofΒ health has been observed inΒ schoolchildren. AsΒ perΒ official data only 20% ofΒ children graduating fromΒ school areΒ considered toΒ be completely healthy, andΒ 60% suffer fromΒ chronic diseases, i.e. belong toΒ health groups III, IV andΒ V, among which there areΒ many children belonging toΒ tuberculosis risk groups andΒ suffering fromΒ undetected latent tuberculous infection. TheΒ efficiency ofΒ theΒ new technique aimed toΒ detect active tuberculous infection inΒ children andΒ adolescents ofΒ health groups III, IV andΒ V has been evaluated. Screening proved theΒ reduction inΒ theΒ number ofΒ patients inΒ need ofΒ TB doctor advising byΒ 8.4 fold compared toΒ traditional mass diagnostics withΒ tuberculin. Hyperergic reactions toΒ diaskintest areΒ 6 fold less common compared toΒ Mantoux test. AndΒ 99.2% ofΒ children referred toΒ TB doctor were registered toΒ theΒ dispensary follow-upΒ versus 23.4% ofΒ children referred toΒ TB doctor asΒ perΒ mass tuberculin testing results. (p <Β 0.001). Thus theΒ validity ofΒ referral toΒ TB doctor increased 4.2 fold. TheΒ detection rate ofΒ active forms ofΒ tuberculosis made 0.4 perΒ 1000 examinations versus 0.1 inΒ case ofΒ mass screening withΒ tuberculin testing.Π’ послСдниС Π³ΠΎΠ΄Ρ‹ Π½Π°Π±Π»ΡŽΠ΄Π°Π΅Ρ‚ΡΡ сущСствСнноС ΡƒΡ…ΡƒΠ΄ΡˆΠ΅Π½ΠΈΠ΅ состояния Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ школьников. По ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΌ Π΄Π°Π½Π½Ρ‹ΠΌ, лишь 20% Π΄Π΅Ρ‚Π΅ΠΉ, Π·Π°ΠΊΠ°Π½Ρ‡ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… ΡˆΠΊΠΎΠ»Ρƒ, ΡΡ‡ΠΈΡ‚Π°ΡŽΡ‚ΡΡ ΠΏΠΎΠ»Π½ΠΎΡΡ‚ΡŒΡŽ Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹ΠΌΠΈ, Π° 60% ΠΈΠΌΠ΅ΡŽΡ‚ хроничСскиС заболСваниями, Ρ‚. Π΅. III, IV ΠΈΠ»ΠΈ V Π³Ρ€ΡƒΠΏΠΏΡƒ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ, срСди ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π²Π΅Π»ΠΈΠΊΠ° доля Π΄Π΅Ρ‚Π΅ΠΉ, относящихся ΠΊ Π³Ρ€ΡƒΠΏΠΏΠ°ΠΌ риска ΠΏΠΎ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Ρƒ ΠΈ ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ… Π½Π΅Π²Ρ‹ΡΠ²Π»Π΅Π½Π½ΡƒΡŽ Π»Π°Ρ‚Π΅Π½Ρ‚Π½ΡƒΡŽ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½ΡƒΡŽ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΡŽ. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° эффСктивности Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° выявлСния Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ ΠΈ подростков III, IV ΠΈ V Π³Ρ€ΡƒΠΏΠΏ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ. Π‘ΠΊΡ€ΠΈΠ½ΠΈΠ½Π³ΠΎΠ²ΠΎΠ΅ исслСдованиС ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠ΅ числа ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Π½ΡƒΠΆΠ΄Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π² ΠΊΠΎΠ½ΡΡƒΠ»ΡŒΡ‚Π°Ρ†ΠΈΠΈ Ρ„Ρ‚ΠΈΠ·ΠΈΠ°Ρ‚Ρ€Π°, Π² 8,4 Ρ€Π°Π·Π° ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Ρ‚Ρ€Π°Π΄ΠΈΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ массовой тубСркулинодиагностикой. ГипСрСргичСскиС Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ Π½Π° ΠΏΡ€ΠΎΠ±Ρƒ с диаскинтСстом Π²Ρ‹ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π² 6 Ρ€Π°Π· Ρ€Π΅ΠΆΠ΅ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΏΡ€ΠΎΠ±ΠΎΠΉ ΠœΠ°Π½Ρ‚Ρƒ. ΠŸΡ€ΠΈ этом Π½Π° диспансСрный ΡƒΡ‡Π΅Ρ‚ Ρƒ Π²Ρ€Π°Ρ‡Π°-Ρ„Ρ‚ΠΈΠ·ΠΈΠ°Ρ‚Ρ€Π° взято 99,2% Π΄Π΅Ρ‚Π΅ΠΉ ΠΎΡ‚ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½Ρ‹Ρ… Π½Π° ΠΊΠΎΠ½ΡΡƒΠ»ΡŒΡ‚Π°Ρ†ΠΈΡŽ ΠΏΡ€ΠΎΡ‚ΠΈΠ² 23,4% Π΄Π΅Ρ‚Π΅ΠΉ, Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½Ρ‹Ρ… ΠΏΠΎ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ массовой тубСркулинодиагностики (p < 0,001). Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Π² 4,2 Ρ€Π°Π·Π° ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ»Π°ΡΡŒ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ направлСния Ρ€Π΅Π±Π΅Π½ΠΊΠ° ΠΊ Π²Ρ€Π°Ρ‡Ρƒ-Ρ„Ρ‚ΠΈΠ·ΠΈΠ°Ρ‚Ρ€Ρƒ. Π’Ρ‹ΡΠ²Π»ΡΠ΅ΠΌΠΎΡΡ‚ΡŒ Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π° Π½ΠΎΠ²Ρ‹ΠΌ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ составила 0,4 Π½Π° 1 000 обслСдованных ΠΏΡ€ΠΎΡ‚ΠΈΠ² 0,1 ΠΏΡ€ΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ массовой Ρ‚Ρ€Π°Π΄ΠΈΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ тубСркулинодиагностики

    Resolved photometry of extragalactic young massive star clusters

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    We present colour-magnitude diagrams (CMDs) for a sample of seven young massive clusters in the galaxies NGC 1313, NGC 1569, NGC 1705, NGC 5236 and NGC 7793. The clusters have ages in the range 5-50 million years and masses of 10^5 -10^6 Msun. Although crowding prevents us from obtaining photometry in the central regions of the clusters, we are still able to measure up to 30-100 supergiant stars in each of the richest clusters, along with the brighter main sequence stars. The resulting CMDs and luminosity functions are compared with photometry of artificially generated clusters, designed to reproduce the photometric errors and completeness as realistically as possible. In agreement with previous studies, our CMDs show no clear gap between the H-burning main sequence and the He-burning supergiant stars, contrary to predictions by common stellar isochrones. In general, the isochrones also fail to match the observed number ratios of red-to-blue supergiant stars, although the difficulty of separating blue supergiants from the main sequence complicates this comparison. In several cases we observe a large spread (1-2 mag) in the luminosities of the supergiant stars that cannot be accounted for by observational errors. This spread can be reproduced by including an age spread of 10-30 million years in the models. However, age spreads cannot fully account for the observed morphology of the CMDs and other processes, such as the evolution of interacting binary stars, may also play a role.Comment: 15 pages, 12 figures, accepted for publication in A&

    ΠšΠ Π˜Π’Π•Π Π˜Π˜ Π­Π€Π€Π•ΠšΠ’Π˜Π’ΠΠžΠ‘Π’Π˜ Π›Π•Π§Π•ΠΠ˜Π― Π’Π£Π‘Π•Π ΠšΠ£Π›Π•Π—Π Π£Β Π”Π•Π’Π•Π™ Π’ Π‘ΠžΠ’Π Π•ΠœΠ•ΠΠΠ«Π₯ Π£Π‘Π›ΠžΠ’Π˜Π―Π₯

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    The main objective of a phthisiologist following up and treating children and adolescents with local forms of tuberculosis is to achieve complete clinical cure with minimal remaining post-tuberculosis changes. Evaluation of treatment progress is important since it defines not only the duration of chemotherapy and follow-up but it also serves a prognostic criterion of stable clinical cure and prevention of relapse in the future. New criteria for evaluation of tuberculosis activity and clinical cure in children and adolescents were assessed. It was proved that Mantoux test could not be the criterion of the disease activity. While results of the test with tuberculous recombinant allergen (TRA) performed at the moment of clinical cure did not depend on the volume and severity of changes and allowed assessing the activity of the disease with any intensity of specific changes in chest lymph nodes and lung tissue, and TRA test served as a criterion of activity of mycobacterial population in the host.Основной Ρ†Π΅Π»ΡŒΡŽ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π²Ρ€Π°Ρ‡Π°-Ρ„Ρ‚ΠΈΠ·ΠΈΠ°Ρ‚Ρ€Π° Π² процСссС диспансСрного наблюдСния ΠΈ лСчСния Π΄Π΅Ρ‚Π΅ΠΉ ΠΈ подростков с Π»ΠΎΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ Ρ„ΠΎΡ€ΠΌΠ°ΠΌΠΈ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π° являСтся ΠΏΠΎΠ»Π½ΠΎΡ†Π΅Π½Π½ΠΎΠ΅ клиничСскоС ΠΈΠ·Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ с ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ остаточными посттубСркулСзными измСнСниями. ΠžΡ†Π΅Π½ΠΊΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ процСсса Π½Π° Ρ„ΠΎΠ½Π΅ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ лСчСния прСдставляСтся Π²Π°ΠΆΠ½ΠΎΠΉ, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ опрСдСляСт Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ курса ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΡ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ ΠΈ диспансСрного наблюдСния, Π½ΠΎ ΠΈ являСтся прогностичСским ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅ΠΌ для стойкого клиничСского излСчСния ΠΈ отсутствия Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° заболСвания Π² дальнСйшСм. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° Π½ΠΎΠ²Ρ‹Ρ… ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² активности ΠΈ клиничСского излСчСния Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π° Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ ΠΈ подростков. Показано, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΎΠ±Π° ΠœΠ°Π½Ρ‚Ρƒ Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ‚ ΡΠ²Π»ΡΡ‚ΡŒΡΡ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅ΠΌ активности Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½ΠΎΠ³ΠΎ процСсса. Напротив, Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΏΡ€ΠΎΠ±Ρ‹ с Π°Π»Π»Π΅Ρ€Π³Π΅Π½ΠΎΠΌ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π½Ρ‹ΠΌ Ρ€Π΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½Ρ‚Π½Ρ‹ΠΌ (АВР) Π½Π° ΠΌΠΎΠΌΠ΅Π½Ρ‚ клиничСского излСчСния Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π° Π½Π΅ зависят ΠΎΡ‚ объСма ΠΈ стСпСни выраТСнности ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Ρ‚ΡŒ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ заболСвания ΠΏΡ€ΠΈ любой выраТСнности спСцифичСских ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π²ΠΎ Π²Π½ΡƒΡ‚Ρ€ΠΈΠ³Ρ€ΡƒΠ΄Π½Ρ‹Ρ… лимфатичСских ΡƒΠ·Π»Π°Ρ… ΠΈ Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ, Π° Π·Π½Π°Ρ‡ΠΈΡ‚, ΠΏΡ€ΠΎΠ±Π° с АВР являСтся ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅ΠΌ активности ΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΠΎΠΉ популяции ΠΌΠΈΠΊΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΉ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·Π° Π² ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠ΅ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°

    Π‘ΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ МБКВ-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΈ клиничСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΈ острых Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡΡ… ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ кровообращСния

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    Background The use of neuroimaging methods is an integral part of the process of assisting patients with acute cerebrovascular events (ACVE), and computed tomography (CT) is the Β«gold standardΒ» for examining this category of patients. The capabilities of the analysis of CT images may be significantly expanded with modern methods of machine learning including the application of the principles of radiomics. However, since the use of these methods requires large arrays of DICOM (Digital Imaging and Communications in Medicine)-images, their implementation into clinical practice is limited by the lack of representative sample sets. Inaddition, at present, collections (datasets) of CT images of stroke patients, that are suitable for machine learning, are practically not available in the public domain.Aim of study Regarding the aforesaid, the aim of this work was to create a DICOM images dataset of native CT and CT-angiography of patients with different types of stroke. Material and meth ods The collection was based on the medical cases of patients hospitalized in the Regional Vascular Center of the N.V. Sklifosovsky Research Institute for Emergency Medicine. We used a previously developed specialized platform to enter clinical data on the stroke cases, to attach CT DICOMimages to each case, to contour 3D areas of interest, and to tag (label) them. A dictionary was developed for tagging, where elements describe the type of lesion, location, and vascular territory.Results A dataset of clinical cases and images was formed in the course of the work. It included anonymous information about 220 patients, 130 of them with ischemic stroke, 40 with hemorrhagic stroke, and 50 patients without cerebrovascular disorders. Clinical data included information about type of stroke, presence of concomitant diseases and complications, length of hospital stay, methods of treatment, and outcome. The results of 370 studies of native CT and 102 studies of CT-angiography were entered for all patients. The areas of interest corresponding to direct and indirect signs of stroke were contoured and tagged by radiologists on each series of images.Conclusion The resulting collection of images will enable the use of various methods of data analysis and machine learning in solving the most important practical problems including diagnosis of the stroke type, assessment of lesion volume, and prediction of the degree of neurological deficit.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π½Π΅ΠΉΡ€ΠΎΠ²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ являСтся Π½Π΅ΠΎΡ‚ΡŠΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ Ρ‡Π°ΡΡ‚ΡŒΡŽ процСсса оказания ΠΏΠΎΠΌΠΎΡ‰ΠΈ Π±ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ с острыми Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡΠΌΠΈ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ кровообращСния (ОНМК), ΠΏΡ€ΠΈ этом Π·ΠΎΠ»ΠΎΡ‚Ρ‹ΠΌ стандартом обслСдования Π΄Π°Π½Π½ΠΎΠΉ ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… являСтся ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ томография (КВ). Π—Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Ρ€Π°ΡΡˆΠΈΡ€ΠΈΡ‚ΡŒ возмоТности Π°Π½Π°Π»ΠΈΠ·Π° КВ-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ соврСмСнных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² машинного обучСния, Π² Ρ‚ΠΎΠΌ числС Π½Π° основС примСнСния ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΎΠ² Ρ€Π°Π΄ΠΈΠΎΠΌΠΈΠΊΠΈ. Однако, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ использованиС этих ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ наличия Π±ΠΎΠ»ΡŒΡˆΠΈΡ… массивов DICOM (Digital Imaging and Communications in Medicine)-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ, ΠΈΡ… Π²Π½Π΅Π΄Ρ€Π΅Π½ΠΈΠ΅ Π² ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΎ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ Π½Π°Π±ΠΎΡ€Π° Ρ€Π΅ΠΏΡ€Π΅Π·Π΅Π½Ρ‚Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… Π²Ρ‹Π±ΠΎΡ€ΠΎΠΊ. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Π² настоящСС врСмя Π² ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚ΠΎΠΌ доступС практичСски Π½Π΅ прСдставлСны ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ, содСрТащиС КВ-изобраТСния Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… c ОНМК, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π±Ρ‹Π»ΠΈ Π±Ρ‹ ΠΏΡ€ΠΈΠ³ΠΎΠ΄Π½Ρ‹ для машинного обучСния.ЦСль Π’ связи с Π²Ρ‹ΡˆΠ΅ΡΠΊΠ°Π·Π°Π½Π½Ρ‹ΠΌ, Ρ†Π΅Π»ΡŒΡŽ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ являлось созданиС ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ DICOM-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π½Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ КВ ΠΈ КВ-Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Ρ‚ΠΈΠΏΠ°ΠΌΠΈ ОНМК.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Основой для создания ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ стали истории Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², госпитализированных Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ сосудистый Ρ†Π΅Π½Ρ‚Ρ€ НИИ БП ΠΈΠΌ. Н.Π’. Бклифосовского. Для формирования ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ использовалась разработанная Π½Π°ΠΌΠΈ Ρ€Π°Π½Π΅Π΅ спСциализированная ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌΠ°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π°Ρ Π²Π²ΠΎΠ΄ΠΈΡ‚ΡŒ клиничСскиС Π΄Π°Π½Π½Ρ‹Π΅ ΠΎ случаях ОНМК, ΠΏΡ€ΠΈΠΊΡ€Π΅ΠΏΠ»ΡΡ‚ΡŒ ΠΊ ΠΊΠ°ΠΆΠ΄ΠΎΠΌΡƒ ΡΠ»ΡƒΡ‡Π°ΡŽ DICOM-изобраТСния ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Ρ… исслСдований, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€ΠΈΠ²Π°Ρ‚ΡŒ ΠΈ Ρ‚Π΅Π³ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ (Ρ€Π°Π·ΠΌΠ΅Ρ‡Π°Ρ‚ΡŒ) 3D-области интСрСса. Для тСгирования Π±Ρ‹Π» Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½ ΡΠ»ΠΎΠ²Π°Ρ€ΡŒ, элСмСнты ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‚ Ρ‚ΠΈΠΏ патологичСского образования, Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΈ бассСйн кровоснабТСния.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π’ Ρ…ΠΎΠ΄Π΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π±Ρ‹Π»Π° сформирована коллСкция клиничСских случаСв ΠΈ ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π°Ρ Π°Π½ΠΎΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΡƒΡŽ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡŽ ΠΎ 220 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°Ρ…, ΠΈΠ· Π½ΠΈΡ… 130 - с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, 40 - с гСморрагичСским ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, Π° Ρ‚Π°ΠΊΠΆΠ΅ 50 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ Π±Π΅Π· цСрСброваскулярной ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ. ΠšΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½Ρ‹Π΅ Π²ΠΊΠ»ΡŽΡ‡Π°Π»ΠΈ свСдСния ΠΎ Ρ‚ΠΈΠΏΠ΅ ОНМК, Π½Π°Π»ΠΈΡ‡ΠΈΠΈ ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΈ ослоТнСний, Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ госпитализации, способС лСчСния ΠΈ исходС. ВсСго для ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π±Ρ‹Π»ΠΈ Π²Π²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ 370 исслСдований Π½Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ КВ ΠΈ 102 исслСдования КВ-Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. На ΠΊΠ°ΠΆΠ΄ΠΎΠΉ сСрии ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π²Ρ€Π°Ρ‡ΠΎΠΌ-экспСртом Π±Ρ‹Π»ΠΈ ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π΅Π½Ρ‹ ΠΈ ΠΏΡ€ΠΎΡ‚Π΅Π³ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ области интСрСса, ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ прямым ΠΈ косвСнным ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ОНМК.Π’Ρ‹Π²ΠΎΠ΄ Бформированная коллСкция ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ Π² ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚ΡŒ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ машинного обучСния Π² Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ Π²Π°ΠΆΠ½Π΅ΠΉΡˆΠΈΡ… практичСских Π·Π°Π΄Π°Ρ‡, Π² Ρ‚ΠΎΠΌ числС диагностики Ρ‚ΠΈΠΏΠ° ОНМК, ΠΎΡ†Π΅Π½ΠΊΠΈ объСма пораТСния, ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π° стСпСни нСврологичСского Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚Π°

    Bio-nanotechnology application in wastewater treatment

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    The nanoparticles have received high interest in the field of medicine and water purification, however, the nanomaterials produced by chemical and physical methods are considered hazardous, expensive, and leave behind harmful substances to the environment. This chapter aimed to focus on green-synthesized nanoparticles and their medical applications. Moreover, the chapter highlighted the applicability of the metallic nanoparticles (MNPs) in the inactivation of microbial cells due to their high surface and small particle size. Modifying nanomaterials produced by green-methods is safe, inexpensive, and easy. Therefore, the control and modification of nanoparticles and their properties were also discussed

    ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ томография ΠΏΡ€ΠΈ спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΠ΅ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°: Π½Π°Π΄Π΅ΠΆΠ½ΠΎΠ΅ сопровоТдСниС ΠΎΡ‚ диагностики Π΄ΠΎ выздоровлСния

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    The purpose of the study. To study the possibilities of computed tomography (CT) in the diagnosis of spontaneous hematoma of the esophagus, including in the process of dynamic observation.Materials and methods. A retrospective analysis of CT results in 11 patients with spontaneous esophageal hematoma treated at the N.V. Sklifosovsky Research Institute of SP in the period 2005–2020 is presented. All patients underwent a comprehensive laboratory and instrumental examination, including CT. CT studies were performed with oral and intravenous bolus contrast, primarily at admission and in dynamics.Results. In all cases, according to CT data, acute pathology of the aorta, rupture of the esophagus were excluded and signs of spontaneous hematoma of the esophagus were revealed. CT semiotics of esophageal hematoma was analyzed with quantitative treatment of changes in density, linear dimensions and volume. CT semiotics analysis also revealed the volumetric effect of hematoma on surrounding organs and structures, accumulation of blood in the pleural cavities, and verified signs of infection of hematoma with inflammatory changes in the surrounding paraesophageal tissue. CT data served as the basis for determining the optimal treatment tactics for spontaneous esophageal hematoma. Conservative therapy was the main method of her treatment. CT examination in dynamics allowed timely detection of complications of spontaneous hematoma of the esophagus (hemothorax, perforation of the esophagus, infection of the hematoma) requiring surgical intervention.Conclusion. CT is the method of choice in the diagnosis of spontaneous hematoma of the esophagus, which allows for a clear differential diagnosis with urgent life-threatening conditions. CT data make it possible to justify treatment tactics and assess the dynamics of the pathological process.ЦСль исслСдования: ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ возмоТности ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ (КВ) Π² диагностикС спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°, Π² Ρ‚ΠΎΠΌ числС Π² процСссС динамичСского наблюдСния.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ рСтроспСктивный Π°Π½Π°Π»ΠΈΠ· Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² КВ Ρƒ 11 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² со спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΠΎΠΉ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°, Π½Π°Ρ…ΠΎΠ΄ΠΈΠ²ΡˆΠΈΡ…ΡΡ Π½Π° Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ Π² НИИ БП ΠΈΠΌ. Н.Π’. Бклифосовского Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ 2005–2020 Π³Π³. ВсСм ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌ Π±Ρ‹Π»ΠΎ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΎ комплСксноС Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½ΠΎ-ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎΠ΅ обслСдованиС, Π²ΠΊΠ»ΡŽΡ‡Π°Π²ΡˆΠ΅Π΅ КВ с ΠΏΠ΅Ρ€ΠΎΡ€Π°Π»ΡŒΠ½Ρ‹ΠΌ ΠΈ Π²Π½ΡƒΡ‚Ρ€ΠΈΠ²Π΅Π½Π½Ρ‹ΠΌ Π±ΠΎΠ»ΡŽΡΠ½Ρ‹ΠΌ контрастированиСм, ΠΊΠ°ΠΊ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎ ΠΏΡ€ΠΈ поступлСнии, Ρ‚Π°ΠΊ ΠΈ Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ΠΎ всСх случаях ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ КВ Π±Ρ‹Π»ΠΈ ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ острая патология Π°ΠΎΡ€Ρ‚Ρ‹, Ρ€Π°Π·Ρ€Ρ‹Π² ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π° ΠΈ выявлСны ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π° КВ-сСмиотика Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π° с количСствСнной ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΎΠΉ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΏΠΎ плотности, Π»ΠΈΠ½Π΅ΠΉΠ½Ρ‹ΠΌ Ρ€Π°Π·ΠΌΠ΅Ρ€Π°ΠΌ ΠΈ ΠΎΠ±ΡŠΠ΅ΠΌΡƒ. Анализ КВ-сСмиотики Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ объСмноС воздСйствиС Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ Π½Π° ΠΎΠΊΡ€ΡƒΠΆΠ°ΡŽΡ‰ΠΈΠ΅ ΠΎΡ€Π³Π°Π½Ρ‹ ΠΈ структуры, скоплСниС ΠΊΡ€ΠΎΠ²ΠΈ Π² ΠΏΠ»Π΅Π²Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… полостях, Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ инфицирования Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ с Π²ΠΎΡΠΏΠ°Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌΠΈ измСнСниями ΠΎΠΊΡ€ΡƒΠΆΠ°ΡŽΡ‰Π΅ΠΉ ΠΏΠ°Ρ€Π°ΡΠ·ΠΎΡ„Π°Π³Π΅Π°Π»ΡŒΠ½ΠΎΠΉ ΠΊΠ»Π΅Ρ‚Ρ‡Π°Ρ‚ΠΊΠΈ. Π”Π°Π½Π½Ρ‹Π΅ КВ послуТили основой для опрСдСлСния ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ Π»Π΅Ρ‡Π΅Π±Π½ΠΎΠΉ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΈ ΠΏΡ€ΠΈ спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΠ΅ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°. ΠšΠΎΠ½ΡΠ΅Ρ€Π²Π°Ρ‚ΠΈΠ²Π½Π°Ρ тСрапия являлась основным ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π΅Π΅ лСчСния. КВ-исслСдованиС Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ своСврСмСнно Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ ослоТнСния спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π° (гСмоторакс, пСрфорация ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°, ΠΈΠ½Ρ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹), Ρ‚Ρ€Π΅Π±ΡƒΡŽΡ‰ΠΈΠ΅ хирургичСского Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. КВ являСтся ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π²Ρ‹Π±ΠΎΡ€Π° ΠΏΡ€ΠΈ диагностикС спонтанной Π³Π΅ΠΌΠ°Ρ‚ΠΎΠΌΡ‹ ΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΠΌ провСсти Ρ‡Π΅Ρ‚ΠΊΡƒΡŽ Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΡƒΡŽ диагностику с Π½Π΅ΠΎΡ‚Π»ΠΎΠΆΠ½Ρ‹ΠΌΠΈ ΠΆΠΈΠ·Π½Π΅ΡƒΠ³Ρ€ΠΎΠΆΠ°ΡŽΡ‰ΠΈΠΌΠΈ состояниями. КВ-Π΄Π°Π½Π½Ρ‹Π΅ Π΄Π°ΡŽΡ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Ρ‚ΡŒ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΡƒ лСчСния ΠΈ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ патологичСского процСсса
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