40 research outputs found

    РадиомичСский Π°Π½Π°Π»ΠΈΠ· для ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ диагностики ΠΈ комплСксного лСчСния глиобластомы

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    Introduction. Glioblastoma is a neuroepithelial malignant brain tumour of predominantly astrocytic origin with an aggressive course and an extremely unfavorable prognosis. Since the median of overall survival with glioblastoma is 14.6 months after complex treatment that includes a combination of surgical treatment, radiation therapy and chemotherapy, the development a personalized approach in the diagnosis and treatment of glioblastomas is appeared to be urgent.Materials and methods. MRIs of a patient undergoing chemoradiotherapy for glioblastoma G4 were performed on the following MRI scanners: Philips Ingenia 1.5T and Philips Ingenia Ambient 1.5T. The analysis of MR-images was carried out using the Matlab 2021 apps.Results and discussion. MR-images were analyzed before and after surgery, and after a course of chemoradiotherapy. The statistical characteristics of the local brightness distribution of the lesion image, which are described by statistical texture parameters, were analyzed as informative features of the lesion area on the images. Initial confirmation of the ability to objectify diagnosis and treatment using the above statistical parameters of T2 MR images of lesion area has been obtained.Conclusion. The aim of further research in this area is to use radiomic study for planning and monitoring the treatment of high-grade gliomas, estimate disease outcomes, and analyze the response to complex treatments in a predictive way.Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Глиобластома – Π½Π΅ΠΉΡ€ΠΎΡΠΏΠΈΡ‚Π΅Π»ΠΈΠ°Π»ΡŒΠ½Π°Ρ злокачСствСнная ΠΎΠΏΡƒΡ…ΠΎΠ»ΡŒ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° прСимущСствСнно астроцитарного происхоТдСния с агрСссивным Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ ΠΈ ΠΊΡ€Π°ΠΉΠ½Π΅ нСблагоприятным ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠΌ. МСдиана ΠΎΠ±Ρ‰Π΅ΠΉ выТиваСмости ΠΏΡ€ΠΈ глиобластомС составляСт 14,6 мСсяца послС комплСксного лСчСния, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π΅Π³ΠΎ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΡŽ хирургичСского лСчСния, Π»ΡƒΡ‡Π΅Π²ΠΎΠΉ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ ΠΈ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ, Ρ‡Ρ‚ΠΎ Π΄ΠΈΠΊΡ‚ΡƒΠ΅Ρ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ пСрсонализированного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π² диагностикС ΠΈ Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ глиобластом.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: МРВ-исслСдования ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°, ΠΏΡ€ΠΎΡ…ΠΎΠ΄ΠΈΠ²ΡˆΠ΅Π³ΠΎ Ρ…ΠΈΠΌΠΈΠΎΠ»ΡƒΡ‡Π΅Π²ΠΎΠ΅ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΠΎΠ²ΠΎΠ΄Ρƒ глиобластомы G4, Π²Ρ‹ΠΏΠΎΠ»Π½ΡΠ»ΠΈΡΡŒ Π½Π° Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π°Ρ…: ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎ-рСзонансный Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ Philips Ingenia 1.5T ΠΈ Philips IngeniΠ° Аmbition 1,5 Π’. Анализ МРВ-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ осущСствлСн с использованиСм ΠΏΠ°ΠΊΠ΅Ρ‚Π° ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Matlab 2021.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ МРВ-изобраТСния Π΄ΠΎ провСдСния хирургичСского Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°, послС хирургичСского Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° ΠΈ послС курса Ρ…ΠΈΠΌΠΈΠΎΠ»ΡƒΡ‡Π΅Π²ΠΎΠ³ΠΎ лСчСния. Π’ качСствС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΎΡ‡Π°Π³ΠΎΠ² пораТСния Π½Π° изобраТСниях ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ статистичСскиС характСристики локального распрСдСлСния яркости изобраТСния ΠΎΡ‡Π°Π³Π° пораТСния, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‚ΡΡ статистичСскими тСкстурными ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌΠΈ.ΠžΠ±ΡΡƒΠΆΠ΄Π΅Π½ΠΈΠ΅. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½ΠΎ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ΅ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ΠΈΠ΅ возмоТности ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ процСсса диагностики ΠΈ лСчСния ΠΏΠΎ ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹ΠΌ статистичСским ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌ Π’2 МРВ-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΎΡ‡Π°Π³ΠΎΠ² пораТСния.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ЦСлью Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΡ… исслСдований Π² Π΄Π°Π½Π½ΠΎΠΌ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ являСтся ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ радиомичСского Π°Π½Π°Π»ΠΈΠ·Π° для планирования, ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° лСчСния Π³Π»ΠΈΠΎΠΌ высокой стСпСни злокачСствСнности, для прогнозирования исходов заболСвания, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΡ‚Π²Π΅Ρ‚Π° Π½Π° комплСксноС Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅

    The prevalence of renal dysfunction in patients with coronary heart disease, coronary artery bypass surgery

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    Relevance. Despite the successes achieved in the treatment of coronary heart disease through the use of high-tech surgical methods of treatment, including coronary bypass surgery, the evaluation of the postoperative course of the disease, the search for facts affecting the progression of early and late cardiovascular complications remain relevant. Identifying early predictors of adverse outcomes is a critical task. The presence of renal dysfunction in the postoperative period after coronary artery bypass surgery is an important factor leading to a deterioration of the cardiorenal relationship. Purpose of the study. To assess the prevalence of renal dysfunction among patients with coronary heart disease in the postoperative period after coronary artery bypass surgery in conjunction with other cardiovascular risk factors.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. НСсмотря Π½Π° успСхи, достигнутыС Π² ΠΏΠ΅Ρ‡Π΅Π½ΠΈΠΈ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ сСрдца благодаря использованию высокотСхнологичных хирургичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² лСчСния, Π² Ρ‚ΠΎΠΌ числС ΠΊΠΎΡ€ΠΎΠ½Π°Ρ€Π½ΠΎΠ³ΠΎ ΡˆΡƒΠ½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡ, Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΎΡΡ‚Π°ΡŽΡ‚ΡΡ вопросы ΠΎΡ†Π΅Π½ΠΊΠΈ поспСопСрационного тСчСния заболСвания, поиск Ρ„Π°ΠΊΡ‚ΠΎΠ², Π²Π»ΠΈΡΡŽΡ‰ΠΈΡ… Π½Π° прогрСссированиС Ρ€Π°Π½Π½ΠΈΡ… ΠΈ ΠΏΠΎΠ·Π΄Π½ΠΈΡ… сСрдСчно-сосудистых ослоТнСний. ВыявлСниС Ρ€Π°Π½Π½ΠΈΡ… ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€ΠΎΠ² нСблагоприятных исходов являСтся ваТнСйшСй Π·Π°Π΄Π°Ρ‡Π΅ΠΉ. НаличиС дисфункции ΠΏΠΎΡ‡Π΅ΠΊ Π² послСопСрационном ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ послС ΠΊΠΎΡ€ΠΎΠ½Π°Ρ€Π½ΠΎΠ³ΠΎ ΡˆΡƒΠ½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡ явпяСтся Π²Π°ΠΆΠ½Ρ‹ΠΌ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠΌ, приводящим ΠΊ ΡƒΡ…ΡƒΠ΄ΡˆΠ΅Π½ΠΈΡŽ ΠΊΠ°Ρ€Π΄ΠΈΠΎΡ€Π΅Π½Π°Π»ΡŒΠ½Ρ‹Ρ… Π²Π·Π°ΠΈΠΌΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΉ. ЦСль исслСдования. ΠžΡ†Π΅Π½ΠΈΡ‚ΡŒ Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ дисфункции ΠΏΠΎΡ‡Π΅ΠΊ срСди Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠΉ болСзнью сСрдца Π² послСопСрационном ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ послС ΠΊΠΎΡ€ΠΎΠ½Π°Ρ€Π½ΠΎΠ³ΠΎ ΡˆΡƒΠ½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡ Π²ΠΎ взаимосвязи с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ сСрдСчно-сосудистого риска

    Genesis of active phase in MoW/Al2O3 hydrotreating catalysts monitored by HAADF and in situ QEXAFS combined to MCR-ALS analysis

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    Alumina supported MoW hydrotreating catalyst was synthesized by using bimetallic H-4[SiMo3W9O40] Keggin heteropolyacid (HPA). Catalysts based on monometallic H-4[SiMo3W9O40] and H-4[SiMo3W9O40] and their mixture were also studied. Genesis of the active phase was studied during atmospheric gas sulfidation by H2S/H-2 of the catalysts by in-situ Quick X-ray absorption spectroscopy (XAS) and High-Angle Annular Dark-Field (HAADF) imaging. The combination of different chemometric tools such as Principal Component Analysis (PCA) and Multivariate Curve Resolution with Alternating Least Squares (MCR-ALS) allowed to determine the number of intermediate species, their chemical nature and concentration profiles during sulfidation. It was found that tungsten sulfidation using bimetallic HPA precursor started at lower temperature, compared to W sulfidation in the monometallic and in the mixture of monometallic HPA catalysts. Simultaneous sulfidation of Mo and W atoms in case of the bimetallic molecular precursor can govern the formation of mixed MoWS2 phase, which formation during activation was evidenced by HAADF
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