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Публікація Changes in lipid metabolic indices during the second-line antitubercular therapy(RS Global, 2019) Носова, Я. В.; Худаева, С. А.; Khudaieva, S. A.; Shvets, O.; Shevchenko, O.; Jiao, HankunPresent study was performed to evaluate the changes of lipid metabolism in multidrugresistant pulmonary tuberculosis patients during the treatment with second-line antitubercular drugs. Our study involved 36 MDR-TB patients. Control group comprised 20 healthy individuals who had not been previously diagnosed or received antituberculosis medication. According to our results, secondline antituberculosis drugs have negative effect on lipid metabolism of multidrug-resistant patients in the form of worsening of dyslipidemia manifestations. In choosing further treatment tactics, it is advisable to use virtual and three-dimensional models of the lung area, built according to the spiral computed tomography data, to illustrate the picture of the pathological changes taking placeПублікація Development of natural models of human lungs by means of rapid prototyping(RS Global S. z O.O, 2019) Jiao, Hankun; Perepelitsa, I. M.; Nakonecniy, I. M.; Носова, Я. В.; Tymkovych, M. Y.The initial data were spiral-computer tomographic sections of the lung area, presented in the DICOM format. It should be noted that the thickness of the transition surface formed was chosen on the assumption that the volume would be reduced by 5 times. Using the FreeCAD software, the bracket was modeling in real physical dimensions, which combined into one model with the lungs. Next, the resulting model was loaded into specialized software MeshMixer. It allows you to perform various manipulations on three-dimensional models before printing. With its use, the model was dividing in a horizontal plane into five parts. After that, each part converted to G-code using a Cura slicer, and printed with PLA plastic on a 3D printer Wanhao Duplicator i3. Then the printed parts must be join together using a guide.Публікація Features of medical image processing(2019) Nosova, Ya. V.; Tymkovych, M. Y.; Kovalova, A. A.; Jiao, Hankun; Shushliapina, N. O.Features of medical image processing are described