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1Academic Journal
المؤلفون: Мелтонян Анастасия Роландовна, ГБОУ ВО «Ставропольский государственный педагогический институт», Anastasiia R. Meltonian, FSBEI of HE «Stavropol State Pedagogical Institute», Зверева Лариса Геннадиевна, Larisa G. Zvereva
المصدر: The Topical Issues of the Humanities and Social Sciences: from Theory to Practice; ; Актуальные вопросы гуманитарных и социальных наук: от теории к практике
مصطلحات موضوعية: образовательный процесс, математика, информационная технология, цифровизация, образовательные ресурсы, цифровые образовательные ресурсы
وصف الملف: text/html
Relation: https://phsreda.com/e-articles/10500/Action10500-107153.pdf; Федеральные государственные образовательные стандарты высшего образования [Электронный ресурс]. – Режим доступа: http://fgosvo.ru (дата обращения: 29.03.2023).; Гусак Е.Н. Методы и приемы использования информационных технологий на уроках естественно-математического цикла / Е.Н. Гусак // Применение новых технологий в образовании. – М.: Тровант, 2016. – 134 с.; Зверева Л.Г. Проблемы преподавания математики в современной школе / Л.Г. Зверева, А.Н. Власова, Г.И. Решетникова // Аллея науки. – 2018. – Т. 4. – №9(25). – С. 51–54. EDN YPSZQT; Капустин С.Г. Применение нетрадиционных форм контроля знаний по математике, как один из факторов, повышающих качество образования / С.Г. Капустин, Л.Г. Зверева // Международный журнал гуманитарных и естественных наук. – 2019. – №2–1. – С. 132–134. – DOI 10.24411/2500–1000–2019–10548. EDN VWAJCA; Кузнецова М.В. Использование ЭОР в процессе обучения в основной школе / М.В. Кузнецова. – М.: Академия АйТи, 2011. – 207 с.; Суворова Т.Н. Дидактические функции, возможности и свойства электронных образовательных ресурсов / Т.Н. Суворова // Стандарты и мониторинг в образовании. – 2014. – №2. – С. 27–35. DOI 10.12737/3793. EDN SEAFNT; https://phsreda.com/files/Books/10500/Cover-10500.jpg?req=107153; https://phsreda.com/article/107153/discussion_platform
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2Academic Journal
المؤلفون: A. Yu. Babenko, M. Yu. Laevskaya, A. R. Meltonian, Yu. N. Savchenkov, G. E. Trufanov, А. Ю. Бабенко, М. Ю. Лаевская, А. Р. Мелтонян, Ю. Н. Савченков, Г. Е. Труфанов
المساهمون: The study was carried out with the support of the following source: State assignment No. 44, registration number 122041900080-5., Исследование выполнено при поддержке следующего источника: государственное задание № 44, регистрационный номер 122041900080-5.
المصدر: Translational Medicine; Том 10, № 3 (2023); 146-153 ; Трансляционная медицина; Том 10, № 3 (2023); 146-153 ; 2410-5155 ; 2311-4495
مصطلحات موضوعية: фиброз, fibrosis, magnetic resonance imaging, non-alcoholic fatty liver disease, steatosis, type 2 diabetes, ultrasound, неалкогольная жировая болезнь печени, сахарный диабет 2 типа, стеатоз, ультразвуковое исследование
وصف الملف: application/pdf
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Systematic review with meta-analysis: risk of hepatocellular carcinoma in non-alcoholic steatohepatitis without cirrhosis compared to other liver diseases. Aliment Pharmacol Ther. 2018; 48(7):696–703. DOI:10.1111/apt.14937.; Targher G, Corey KE, Byrne CD, et al. The complex link between NAFLD and type 2 diabetes mellitus - mechanisms and treatments. Nat Rev Gastroenterol Hepatol. 2021; 18(9):599–612. DOI:10.1038/s41575-021-00448-y.; Shetty AS, Sipe AL, Zulfiqar M, et al. In-Phase and Opposed-Phase Imaging: Applications of Chemical Shift and Magnetic Susceptibility in the Chest and Abdomen. Radiographics. 2019; 39(1):115–135. DOI:10.1148/rg.2019180043.; Seifeldein GS, Hassan EA, Imam HM, et al. Quantitative MDCT and MRI assessment of hepatic steatosis in genotype 4 chronic hepatitis C patients with fibrosis Egypt J Radiol Nucl Med. 2021; 52:210. DOI:10.1186/s43055-021-00590-2.; Диомидова В.Н., Тарасова Л.В., Цыганова Ю.В. и др. Ультразвуковая эластография печени с технологией затухающего сигнала позволяет оценить степень стеатоза и осуществлять динамическое наблюдение эффективности лечения НАЖБП. Экспе- риментальная и клиническая гастроэнтерология. 2020; (9):45–54. DOI:10.31146/1682-8658-ecg-181-9-45-54.; Ferraioli G, Soares Monteiro LB. Ultrasoundbased techniques for the diagnosis of liver steatosis. World J Gastroenterol. 2019; 25(40):6053–6062. DOI:10.3748/wjg.v25.i40.6053.; Ferraioli G, Berzigotti A, Barr RG, et al. Quantification of Liver Fat Content with Ultrasound: A WFUMB Position Paper. Ultrasound Med Biol. 2021; 47(10):2803–2820. DOI:10.1016/j.ultrasmedbio.2021.06.002.; Hernaez R, Lazo M, Bonekamp S, et al. Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: a meta-analysis. Hepatology. 2011; 54(3):1082–1090. DOI:10.1002/hep.24452.; Palmentieri B, de Sio I, La Mura V, et al. The role of bright liver echo pattern on ultrasound B-mode examination in the diagnosis of liver steatosis. Dig Liver Dis. 2006; 38(7):485–489. DOI:10.1016/j.dld.2006.03.021.; Chan WK, Nik Mustapha NR, Mahadeva S, et al. Can the same controlled attenuation parameter cut-offs be used for M and XL probes for diagnosing hepatic steatosis? J Gastroenterol Hepatol. 2018; 33(10):1787–1794. DOI:10.1111/jgh.14150.; Dasarathy S, Dasarathy J, Khiyami A, et al. Validity of real time ultrasound in the diagnosis of hepatic steatosis: a prospective study. J Hepatol. 2009; 51(6):1061–1067. DOI:10.1016/j.jhep.2009.09.001.; Lee DH. Imaging evaluation of non-alcoholic fatty liver disease: focused on quantification. Clin Mol Hepatol. 2017; 23(4):290–301. DOI:10.3350/cmh.2017.0042.; Hepburn MJ, Vos JA, Fillman EP, et al. The accuracy of the report of hepatic steatosis on ultrasonography in patients infected with hepatitis C in a clinical setting: a retrospective observational study. BMC Gastroenterol. 2005; 5:14. DOI:10.1186/1471-230X-5-14.; Selvaraj EA, Mózes FE, Jayaswal ANA, et al. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis. J Hepatol. 2021; 75(4):770–785. DOI:10.1016/j.jhep.2021.04.044.; Pu K, Wang Y, Bai S, et al. Diagnostic accuracy of controlled attenuation parameter (CAP) as a non-invasive test for steatosis in suspected non-alcoholic fatty liver disease: a systematic review and meta-analysis. BMC Gastroenterol. 2019; 19(1):51. DOI:10.1186/s12876-019-0961-9.; Karlas T, Petroff D, Sasso M, et al. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. J Hepatol. 2017; 66(5):1022–1030. DOI:10.1016/j.jhep.2016.12.022.; Hsu C, Caussy C, Imajo K, et al. Magnetic Resonance vs Transient Elastography Analysis of Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review and Pooled Analysis of Individual Participants. Clin Gastroenterol Hepatol. 2019; 17(4):630–637.e8. DOI:10.1016/j.cgh.2018.05.059.; Xiao G, Zhu S, Xiao X, et al. Comparison of laboratory tests, ultrasound, or magnetic resonance elastography to detect fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis. Hepatology. 2017; 66(5):1486–1501. DOI:10.1002/hep.29302.; Anstee QM, Lawitz EJ, Alkhouri N, et al. Noninvasive Tests Accurately Identify Advanced Fibrosis due to NASH: Baseline Data From the STELLAR Trials. Hepatology. 2019; 70(5):1521–1530. DOI:10.1002/hep.30842.; Boursier J, Guillaume M, Leroy V, et al. New sequential combinations of non-invasive fibrosis tests provide an accurate diagnosis of advanced fibrosis in NAFLD. J Hepatol. 2019; 71(2):389–396. DOI:10.1016/j.jhep.2019.04.020.; Van Dijk AM, Vali Y, Mak AL, et al. Systematic Review with Meta-Analyses: Diagnostic Accuracy of FibroMeter Tests in Patients with Non-Alcoholic Fatty Liver Disease. J Clin Med. 2021; 10(13):2910. DOI:10.3390/jcm10132910.; Loong TC, Wei JL, Leung JC, et al. Application of the combined FibroMeter vibration-controlled transient elastography algorithm in Chinese patients with nonalcoholic fatty liver disease. J Gastroenterol Hepatol. 2017; 32(7):1363–1369. DOI:10.1111/jgh.13671.; Dietrich CF, Bamber J, Berzigotti A, et al. EFSUMB Guidelines and Recommendations on the Clinical Use of Liver Ultrasound Elastography, Update 2017 (Short Version). Ultraschall Med. 2017; 38(4):377–394. DOI:10.1055/s-0043-103955.; Piazzolla VA, Mangia A. Noninvasive Diagnosis of NAFLD and NASH. Cells. 2020; 9(4):1005. DOI:10.3390/cells9041005.; Ferraioli G, Tinelli C, Lissandrin R, et al. Ultrasound point shear wave elastography assessment of liver and spleen stiffness: effect of training on repeatability of measurements. Eur Radiol. 2014; 24(6):1283–1289. DOI:10.1007/s00330-014-3140-y.; Dietrich CF, Bamber J, Berzigotti A, et al. EFSUMB Guidelines and Recommendations on the Clinical Use of Liver Ultrasound Elastography, Update 2017 (Long Version). Ultraschall Med. 2017; 38(4):e16–e47. DOI:10.1055/s-0043-103952.; Jamialahmadi T, Nematy M, Jangjoo A, et al. Measurement of Liver Stiffness with 2D-Shear Wave Elastography (2D-SWE) in Bariatric Surgery Candidates Reveals Acceptable Diagnostic Yield Compared to Liver Biopsy. Obes Surg. 2019; 29(8):2585–2592. DOI:10.1007/s11695-019-03889-2.; Rajamani AS, Rammohan A, Sai VVR, et al. Current techniques and future trends in the diagnosis of hepatic steatosis in liver donors: A review Journal of Liver Transplantation. 2022; 7:100091. DOI:10.1016/j.liver.2022.100091.; Rastogi R, Gupta S, Garg B, et al. Comparative accuracy of CT, dual-echo MRI and MR spectroscopy for preoperative liver fat quantification in living related liver donors. Indian J Radiol Imaging. 2016; 26(1):5–14. DOI:10.4103/0971-3026.178281.; Zhang Y, Wang C, Duanmu Y, et al. Comparison of CT and magnetic resonance mDIXON-Quant sequence in the diagnosis of mild hepatic steatosis. Br J Radiol. 2018; 91(1091):20170587. DOI:10.1259/bjr.20170587.; Zhang PP, Choi HH, Ohliger MA. Detection of fatty liver using virtual non-contrast dual-energy CT. Abdom Radiol (NY). 2022; 47(6):2046–2056. DOI:10.1007/s00261-022-03482-9.; Zhang YN, Fowler KJ, Hamilton G, et al. Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging. Br J Radiol. 2018; 91(1089):20170959. DOI:10.1259/bjr.20170959.; Lamb P, Sahani DV, Fuentes-Orrego JM, et al. Stratification of patients with liver fibrosis using dualenergy CT. IEEE Trans Med Imaging. 2015; 34(3):807–815. DOI:10.1109/TMI.2014.2353044.; Аллахвердиева Я.С., Воробьев С.В., Минеев Н.И. Современные возможности магнитно-резонансных технологий в диагностике ожирения печени. Медицинский вестник Северного Кавказа. 2018; 13(4):695–700. DOI:10.14300/mnnc.2018.13140.; Jayakumar S, Middleton MS, Lawitz EJ, et al. Longitudinal correlations between MRE, MRI-PDFF, and liver histology in patients with non-alcoholic steatohepatitis: Analysis of data from a phase II trial of selonsertib. J Hepatol. 2019; 70(1):133–141. DOI:10.1016/j.jhep.2018.09.024.; Caussy C, Reeder SB, Sirlin CB, et al. Noninvasive, Quantitative Assessment of Liver Fat by MRI-PDFF as an Endpoint in NASH Trials. Hepatology. 2018; 68(2):763–772. DOI:10.1002/hep.29797.; Gu J, Liu S, Du S, et al. Diagnostic value of MRIPDFF for hepatic steatosis in patients with non-alcoholic fatty liver disease: a meta-analysis. Eur Radiol. 2019; 29(7):3564–3573. DOI:10.1007/s00330-019-06072-4.; Tang A, Tan J, Sun M, et al. Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis. Radiology. 2013; 267(2):422–431. DOI:10.1148/radiol.12120896.; Bonekamp S, Tang A, Mashhood A, et al. Spatial distribution of MRI-Determined hepatic proton density fat fraction in adults with nonalcoholic fatty liver disease. J Magn Reson Imaging. 2014; 39(6):1525–1532. DOI:10.1002/jmri.24321.; Yoneda M, Honda Y, Ogawa Y, et al. Comparing the effects of tofogliflozin and pioglitazone in non-alcoholic fatty liver disease patients with type 2 diabetes mellitus (ToPiND study): a randomized prospective open-label controlled trial. BMJ Open Diabetes Res Care. 2021; 9(1):e001990. DOI:10.1136/bmjdrc-2020-001990.; Doycheva I, Cui J, Nguyen P, et al. Non-invasive screening of diabetics in primary care for NAFLD and advanced fibrosis by MRI and MRE. Aliment Pharmacol Ther. 2016; 43(1):83–95. DOI:10.1111/apt.13405.; Simchick G, Zhao R, Hamilton G, et al. Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T. Magn Reson Med. 2022; 87(2):597–613. DOI:10.1002/mrm.29021.; Шария М.А., Ширяев Г.А., Устюжанин Д.В. Протонная магнитно-резонансная спектроскопия в диагностическом алгоритме у пациента с неалкогольной жировой болезнью печени при комплексном подходе к лечению. REJR. 2014; 4(3): 91–93.; Yokoo T, Serai SD, Pirasteh A, et al. Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis. Radiology. 2018; 286(2):486–498. DOI:10.1148/radiol.2017170550.; Roumans KHM, Lindeboom L, Veeraiah P, et al. Hepatic saturated fatty acid fraction is associated with de novo lipogenesis and hepatic insulin resistance. Nat. Commun. 2020; 11:1891. DOI:10.1038/s41467-020-15684-0.; Trout AT, Serai S, Mahley AD, et al. Liver Stiffness Measurements with MR Elastography: Agreement and Repeatability across Imaging Systems, Field Strengths, and Pulse Sequences. Radiology. 2016; 281(3):793–804. DOI:10.1148/radiol.2016160209.; Serai SD, Obuchowski NA, Venkatesh SK, et al. Repeatability of MR Elastography of Liver: A Meta-Analysis. Radiology. 2017; 285(1):92–100. DOI:10.1148/radiol.2017161398.; Fitzpatrick E, Dhawan A. Noninvasive biomarkers in non-alcoholic fatty liver disease: current status and a glimpse of the future. World J Gastroenterol. 2014; 20(31):10851–10863. DOI:10.3748/wjg.v20.i31.10851.; Kim BH, Lee JM, Lee YJ, et al. MR elastography for noninvasive assessment of hepatic fibrosis: experience from a tertiary center in Asia. J Magn Reson Imaging. 2011; 34(5):1110–1116. DOI:10.1002/jmri.22723.; Lee SS, Park SH. Radiologic evaluation of nonalcoholic fatty liver disease. World J Gastroenterol. 2014; 20(23):7392–7402. DOI:10.3748/wjg.v20.i23.7392.; Imajo K, Kessoku T, Honda Y, et al. Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography. Gastroenterology. 2016; 150(3):626–637.e7. DOI:10.1053/j.gastro.2015.11.048.; https://transmed.almazovcentre.ru/jour/article/view/849
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3Academic Journal
المؤلفون: Maria I. Volkova, Alexey S. Kalpinskiy, Konstantin V. Menshikov, Lilia V. Gorbuleva, Alexander V. Sultanbaev, Olga I. Evsyukova, Varazdat R. Meltonian, Sergey V. Mishugin, Mikhail R. Maturov, Anna S. Olshanskaya, Dmitrii Iu. Shemetov, Tatyana A. Sannikova, Mariia V. Makhnutina, Marina A. Filipieva, Elena A. Gaijsina, Elena G. Ovchinnikova, Ovsep A. Mailian, Boris Ya. Alekseev, Vsevolod B. Matveev
المصدر: Современная онкология, Vol 25, Iss 2, Pp 221-228 (2023)
مصطلحات موضوعية: renal cell carcinoma, cabozantinib, safety, toxicity, hypertension, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Relation: https://modernonco.orscience.ru/1815-1434/article/viewFile/456802/pdf; https://doaj.org/toc/1815-1434; https://doaj.org/toc/1815-1442; https://doaj.org/article/661c9556c8fd45debb7fe8c15b3a720b
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المؤلفون: Anastasiia R. Meltonian, Larisa G. Zvereva
المصدر: The Topical Issues of the Humanities and Social Sciences: from Theory to Practice; 209-210
Актуальные вопросы гуманитарных и социальных наук: от теории к практике; 209-210مصطلحات موضوعية: образовательные ресурсы, математика, цифровые образовательные ресурсы, образовательный процесс, цифровизация, информационная технология
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المصدر: Experimental and Clinical Gastroenterology. :82-90
مصطلحات موضوعية: Hepatology, Gastroenterology