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1Academic Journal
المؤلفون: A. V. Solov’yev, M. R. Kodenko, R. V. Reshetnikov, T. D. Sukhikh, A. N. Mukhortova, I. A. Blokhin, A. P. Gonchar, D. V. Leonov, I. V. Abramova, O. V. Omelyanskaya
المصدر: Digital Diagnostics, Vol 3, Iss 1S, Pp 8-9 (2022)
مصطلحات موضوعية: covid-19, прогнозирование, компьютерная томография, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
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2Academic Journal
المؤلفون: A. V. Petraikin, Yu. A. Vasilev, Z. R. Artyukova, A. K. Smorchkova, D. S. Semenov, А. А. Baulin, A. A. Alikhanov, R. A. Erizhokov, O. V. Omelyanskaya, А. В. Петряйкин, Ю. А. Васильев, З. Р. Артюкова, А. К. Сморчкова, Д. С. Семенов, А. А. Баулин, А. А. Алиханов, Р. А. Ерижоков, О. В. Омелянская
المساهمون: This work was prepared by the author in terms of R&D "Development and creation of a hardware and software complex for opportunistic screening of osteoporosis" (EGISU No.: 123031400007-7) in accordance with Order No. 1196 dated 21. 12. 2022 "On Approval of state assignments, financial support of which is carried out at the expense of the budget of the Moscow to state budgetary (autonomous) institutions subordinate to the Moscow City Health Department, for 2023 and the planning period of 2024 and 2025", Moscow City Health Department., данная работа подготовлена автором в рамках НИОКР «Разработка и создание аппаратно-программного комплекса для оппортунистического скрининга остеопороза» (№ ЕГИСУ: 123031400007–7) в соответствии с Приказом от 21. 12. 2022 г. № 1196 «Об утверждении государственных заданий, финансовое обеспечение которых осуществляется за счет средств бюджета города Москвы государственным бюджетным (автономным) учреждениям, подведомственным Департаменту здравоохранения города Москвы, на 2023 год и плановый период 2024 и 2025 годов» Департамента здравоохранения города Москвы.
المصدر: Research and Practical Medicine Journal; Том 11, № 4 (2024); 73-87 ; Research'n Practical Medicine Journal; Том 11, № 4 (2024); 73-87 ; 2410-1893 ; 10.17709/2410-1893-2024-11-4
مصطلحات موضوعية: имплант тазобедренного сустава, iterative model reconstruction, metal artifacts on CT scans, metal artifact reduction, phantom study, hip implant, итеративная модельная реконструкция, артефакты от металла при компьютерной томографии, подавление артефактов от металла, фантомное исследование
وصف الملف: application/pdf
Relation: https://www.rpmj.ru/rpmj/article/view/1049/665; Computed tomography (CT) imaging units per million people, 2021. World Health Organisation: 2023. Режим доступа: https://ourworldindata.org/grapher/availability-of-computed-tomography-ct-imaging.; Meyer E, Raupach R, Lell M, Schmidt B, Kachelrieß M. Normalized metal artifact reduction (NMAR) in computed tomography. Med. Phys. 2010;37:5482–5493. doi:10.1118/1.3484090; Charles A. Kelsey. The Physics of Radiology, 4 th Edited by H.E.Johns, J.R.Cunningham. Med Phys. 1984; pp. 731–732. doi:10.1118/1.595545; Wellenberg RHH, Hakvoort ET, Slump CH, Boomsma MF, Maas M, Streekstra GJ. Metal artifact reduction techniques in musculoskeletal CT‑imaging. Eur J Radiol. 2018 Oct;107:60–69. doi:10.1016/j.ejrad.2018.08.010; Kosmas C, Hojjati M, Young P, Abedi A, Gholamrezanezhad A, Rajiah P. Dual‑layer spectral computerized tomography for metal artifact reduction: small versus large orthopedic devices. Skeletal Radiol. 2019;48(12):1981–1990. doi:10.1007/s00256‑019‑03248‑3; Bolstad K, Flatabø S, Aadnevik D, Dalehaug I, Vetti N. Metal artifact reduction in CT, a phantom study: Subjective and objective evaluation of four commercial metal artifact reduction algorithms when used on three different orthopedic metal implants. Acta Radiol. 2018;59(9):1110–1118. doi:10.1177/0284185117751278; King J, Whittam S, Smith D, Al‑Qaisieh B. The impact of a metal artefact reduction algorithm on treatment planning for patients undergoing radiotherapy of the pelvis. Phys Imaging Radiat Oncol. 2022 Nov 12;24:138–143. doi:10.1016/j.phro.2022.11.007; Li B, Huang J, Ruan J, Peng Q, Huang S, Li Y, Li F. Dosimetric impact of CT metal artifact reduction for spinal implants in stereotactic body radiotherapy planning. Quant Imaging Med Surg. 2023 Dec 1;13(12):8290–8302. doi:10.21037/qims‑23‑442; Vellarackal AJ, Kaim AH. Metal artefact reduction of different alloys with dual energy computed tomography (DECT). Sci Rep. 2021 Jan 26;11(1):2211. doi:10.1038/s41598‑021‑81600‑1; Zhang H, Wang L, Li L, Cai A, Hu G, Yan B. Iterative metal artifact reduction for x‑ray computed tomography using unmatched projector/backprojector pairs. Med Phys. 2016 Jun;43(6):3019–3033. doi:10.1118/1.4950722; Huflage H, Grunz JP, Hackenbroch C, Halt D, Luetkens KS, Alfred Schmidt AM, et al. Metal artefact reduction in low‑dose computed tomography: Benefits of tin prefiltration versus postprocessing of dual‑energy datasets over conventional CT imaging. Radiography (Lond). 2022 Aug;28(3):690–696. doi:10.1016/j.radi.2022.05.006; Mohammadinejad P, Baffour FI, Adkins MC, Yu L, McCollough CH, Fletcher JG, Glazebrook KN. Benefits of iterative metal artifact reduction and dual‑energy CT towards mitigating artifact in the setting of total shoulder prostheses. Skeletal Radiol. 2021 Jan;50(1):51–58. doi:10.1007/s00256‑020‑03528‑3; Roth TD, Maertz NA, Parr JA, Buckwalter KA, Choplin RH. CT of the hip prosthesis: appearance of components, fixation, and complications. Radiographics. 2012 Jul‑Aug;32(4):1089–1107. doi:10.1148/rg.324115183; Васильев Ю. А., Семенов Д. С., Ахмад Е. С., Панина О. Ю., Сергунова К. А., Петряйкин А. В. Метод оценки влияния алгоритмов подавления артефактов от металлов в КТ на количественные характеристики изображений. Медицинская техника. 2020;4(322):43–45.; Selles M, Stuivenberg VH, Wellenberg RHH, van de Riet L, Nijholt IM, van Osch JAC, et al. Quantitative analysis of metal artifact reduction in total hip arthroplasty using virtual monochromatic imaging and orthopedic metal artifact reduction, a phantom study. Insights Imaging. 2021 Nov 24;12(1):171. doi:10.1186/s13244‑021‑01111‑5; Шубняков И. И., Риахи А., Денисов А. О., Корыткин А. А., Алиев А. Г., Вебер Е. В., и др. Основные тренды в эндопротезировании тазобедренного сустава на основании данных регистра артропластики НМИЦ ТО им. Р.Р. Вредена с 2007 по 2020 г. 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Режим доступа: https://us.medical.canon/download/ct-aq-one-genesis-wp-semar.; Andersson KM, Norrman E, Geijer H, Krauss W, Cao Y, Jendeberg J, et al. Visual grading evaluation of commercially available metal artefact reduction techniques in hip prosthesis computed tomography. Br J Radiol. 2016 Jul;89(1063):20150993. doi:10.1259/bjr.20150993; Selles M, van Osch JAC, Maas M, Boomsma MF, Wellenberg RHH. Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques. Eur J Radiol. 2024 Jan;170:111276. doi:10.1016/j.ejrad.2023.111276; Selles M, Slotman DJ, van Osch JAC, Nijholt IM, Wellenberg RHH, Maas M, Boomsma MF. Is AI the way forward for reducing metal artifacts in CT? Development of a generic deep learning‑based method and initial evaluation in patients with sacroiliac joint implants. Eur J Radiol. 2023 Jun;163:110844. doi:10.1016/j.ejrad.2023.110844; Arabi H, Zaidi H. Deep learning‑based metal artefact reduction in PET/CT imaging. Eur Radiol. 2021 Aug;31(8):6384–6396. doi:10.1007/s00330‑021‑07709‑z; Feldhaus FW, Böning G, Kahn J, Fehrenbach U, Maurer M, Renz D, Streitparth F. Improvement of image quality and diagnostic confidence using Smart MAR ‑ a projection‑based CT protocol in patients with orthopedic metallic implants in hip, spine, and shoulder. Acta Radiol. 2020 Oct;61(10):1421–1430. doi:10.1177/0284185120903446; Shim E, Kang Y, Ahn JM, Lee E, Lee JW, Oh JH, Kang HS. Metal Artifact Reduction for Orthopedic Implants (O‑MAR): Usefulness in CT Evaluation of Reverse Total Shoulder Arthroplasty. AJR Am J Roentgenol. 2017 Oct;209(4):860–866. doi:10.2214/ajr.16.17684; Хоссаин, Ш. Д., Петряйкин, А. В., Мураев, А. А., Данаев, А. Б., Буренчев, Д. В., Долгалев, А. А., и др. Рентгеноконтрастные шаблоны для определения минеральной плотности кости по данным конусно‑лучевой и мультиспиральной компьютерной томографии. 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3Academic Journal
المؤلفون: Yu. A. Vasilev, A. V. Vladzimirskyy, O. V. Omelyanskaya, R. V. Reshetnikov, I. A. Blokhin, M. M. Kodenko, O. G. Nanova, Ю. А. Васильев, А. В. Владзимирский, О. В. Омелянская, Р. В. Решетников, И. А. Блохин, М. Р. Коденко, О. Г. Нанова
المساهمون: Работа выполнена при финансовой поддержке НИР «Научное обоснование методов лучевой диагностики опухолевых заболеваний с использованием радиомического анализа», (№ ЕГИСУ: № 123031500005-2 ) в соответствии с Приказом от 21.12.2022 г. № 1196 "Об утверждении государственных заданий, финансовое обеспечение которых осуществляется за счет средств бюджета города Москвы государственным бюджетным (автономным) учреждениям подведомственным Департаменту здравоохранения города Москвы, на 2023 год и плановый период 2024 и 2025 годов" Департамента здравоохранения города Москвы.
المصدر: Medical Visualization; Принято в печать ; Медицинская визуализация; Принято в печать ; 2408-9516 ; 1607-0763
مصطلحات موضوعية: лучевая диагностика, diagnostic accuracy, meta-analysis, medical imaging, диагностическая точность, метаанализ
وصف الملف: application/pdf
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4Academic Journal
المؤلفون: M. M. Suchilova, I. A. Blokhin, M. R. Kodenko, R. V. Reshetnikov, A. E. Nikolaev, O. V. Omelyanskaya, A. V. Vladzymyrskyy, М. М. Сучилова, И. А. Блохин, М. Р. Коденко, Р. В. Решетников, А. Е. Николаев, О. В. Омелянская, А. В. Владзимирский
المساهمون: This paper was prepared by a group of authors as a part of the research and development effort titled “Scientific evidence for using radiomics-guided medical imaging to diagnose cancer”, No. 123031400009-1”, (USIS No. 123031500005-2) in accordance with the Order No. 1196 dated December 21, 2022 «On approval of state assignments funded by means of allocations from the budget of the city of Moscow to the state budgetary (autonomous) institutions subordinate to the Moscow Health Care Department, for 2023 and the planned period of 2024 and 2025» issued by the Moscow Health Care Department., Данная статья подготовлена авторским коллективом в рамках НИР «Научное обоснование методов лучевой диагностики опухолевых заболеваний с использованием радиомического анализа», (№ ЕГИСУ: № 123031500005-2) в соответствии с Приказом от 21.12.2022 г. № 1196 «Об утверждении государственных заданий, финансовое обеспечение которых осуществляется за счет средств бюджета города Москвы государственным бюджетным (автономным) учреждениям подведомственным Департаменту здравоохранения города Москвы, на 2023 год и плановый период 2024 и 2025 годов» Департамента здравоохранения города Москвы.
المصدر: The Siberian Journal of Clinical and Experimental Medicine; Том 38, № 3 (2023); 23-31 ; Сибирский журнал клинической и экспериментальной медицины; Том 38, № 3 (2023); 23-31 ; 2713-265X ; 2713-2927
مصطلحات موضوعية: низкодозная компьютерная томография, computed tomography, low-dose computed tomography, компьютерная томография
وصف الملف: application/pdf
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