Digital DiagnosticsDigital DiagnosticsDigital DiagnosticsDigital Diagnostics2712-84902712-8962Eco-Vector11987010.17816/DD119870Systematic reviewsСистематические обзоры系统评价Review ArticleLow-dose computed tomography in COVID-19: systematic reviewНизкодозная компьютерная томография органов грудной клетки в диагностике COVID-19: обзор литературы胸部低剂量计算机断层扫描在COVID-19诊断中的应用：系统综述BlokhinIvan A.БлохинИван АндреевичBlokhinIvan A.
Russian Federation
BlokhinIA@zdrav.mos.ruhttps://orcid.org/0000-0001-7670-73858734-2085RumyantsevDenis А.РумянцевДенис АндреевичRumyantsevDenis А.
Russian Federation
x.radiology@mail.ruhttps://orcid.org/0000-0003-1117-02944922-1894SuchilovaMaria M.СучиловаМария МаксимовнаSuchilovaMaria M.
Russian Federation
SuchilovaMM@zdrav.mos.ruhttps://orcid.org/0000-0001-5161-65403513-9531GoncharAnna P.ГончарАнна ПавловнаGoncharAnna P.
Russian Federation
GoncharAP@zdrav.mos.ruhttps://orcid.org/0000-0002-0245-44318948-6152OmelyanskayaOlga V.ОмелянскаяОльга ВасильевнаOmelyanskayaOlga V.
Russian Federation
OmelyanskayaOV@zdrav.mos.ruMoscow Center for Diagnostics and TelemedicineНаучно-практический клинический центр диагностики и телемедицинских технологийMoscow Center for Diagnostics and Telemedicine31032023190420234125372212202206022023Copyright ©; 2023, Eco-VectorCopyright ©; 2023, Эко-векторCopyright ©; 2023, Eco-Vector2023Eco-VectorЭко-векторEco-Vectorhttps://creativecommons.org/licenses/by-nc-nd/4.0https://jdigitaldiagnostics.com/DD/article/view/119870

BACKGROUND: The increased number of computed tomography scans during the COVID-19 pandemic has emphasized the task of decreasing radiation exposure of patients, since it is known to be associated with an elevated risk of cancer development. The ALARA (as low as reasonably achievable) principle, proposed by the International Commission on Radiation Protection, should be adhered to in the operation of radiation diagnostics departments, even during the pandemic.

AIM: To systematize data on the appropriateness and effectiveness of low-dose computed tomography in the diagnosis of lung lesions in COVID-19.

MATERIALS AND METHODS: Relevant national and foreign literature in scientific libraries PubMed and eLIBRARY, using English and Russian queries “low-dose computed tomography” and “COVID-19,” published between 2020 and 2022 were analyzed. Publications were evaluated after assessing the relevance to the review topic by title and abstract analysis. The references were further analyzed to identify articles omitted during the search that may meet the inclusion criteria.

RESULTS: Published studies summarized the current data on the imaging of COVID-19 lung lesions and the use of computed tomography scans and identified possible options for reducing the effective dose.

CONCLUSION: We present techniques to reduce radiation exposure during chest computed tomography and preserve high-quality diagnostic images potentially sufficient for reliable detection of COVID-19 signs. Reducing radiation dose is a valid approach to obtain relevant diagnostic information, preserving opportunities for the introduction of advanced computational analysis technologies in clinical practice.

Обоснование. Повышение числа исследований компьютерной томографии во время пандемии COVID-19 актуализировало задачу снижения лучевой нагрузки на пациента, так как воздействие радиационного излучения достоверно связано с повышением риска развития онкологических заболеваний. В работе отделений лучевой диагностики даже в условиях пандемии должен соблюдаться принцип минимальной дозы облучения при максимальном уровне качества диагностики ― ALARA (as low as reasonably achievable), предложенный Международной комиссией по радиационной защите.

Цель ― систематизация данных о возможностях снижения лучевой нагрузки при диагностике поражения лёгких при COVID-19 методом компьютерной томографии.

Материалы и методы. Проведён анализ релевантных отечественных и зарубежных источников литературы в научных библиотеках PubMed и eLIBRARY по запросам «low dose computed tomography COVID-19» и «низкодозная компьютерная томография COVID-19», опубликованных в период с 2020 по 2022 год. Публикации включались в обзор после оценки их соответствия теме обзора путём анализа названия и абстракта. Списки литературы также были проанализированы на предмет выявления пропущенных при поиске статей, попадающих под критерии включения.

Результаты. Изучение опубликованных результатов исследований позволило обобщить современные данные о лучевой диагностике поражения лёгких при COVID-19 и использовании компьютерной томографии, а также определить возможные варианты снижения дозы лучевой нагрузки.

Заключение. Представлены способы уменьшения лучевой нагрузки при компьютерной томографии органов грудной клетки и сохранения высокого качества диагностического изображения, потенциально достаточного для надёжного выявления признаков COVID-19. Снижение дозы облучения является оправданным подходом к получению актуальной диагностической информации, сохраняющим возможности внедрения технологий продвинутого компьютерного анализа в клиническую практику.

论证。在COVID-19大流行期间，计算机断层扫描检查数量的增加使减少病人的辐射量的任务成为现实，因为暴露于辐射与增加癌症风险有着可靠的联系。国际放射防护委员会提出的在最高诊断质量下的最小辐射剂量原则——ALARA（as low as reasonably achievable），在辐射诊断部门的工作中应该得到遵守，即使在大流行的情况下。

目的是整理关于通过计算机断层扫描诊断COVID-19肺部病变时减少辐射暴露的潜力的数据。

材料和方法。对PubMed和eLIBRARY科学图书馆中2020年至2022年期间发表的的国内外相关文献进行了分析，搜索查询包括“low dose computed tomography COVID-19”和“низкодозная компьютерная томография COVID-19”（低剂量计算机断层扫描COVID-19）。通过分析标题和摘要评估其与综述主题的相关性后，将出版物纳入综述。还对参考文献列表进行了分析，以确定搜索中遗漏的符合纳入标准的文章。

结果。对已发表的研究进行了，研究已发表的科学著作允许总结关于目前COVID-19肺部病变的辐射诊断和计算机断层扫描的使用的数据，并确定减少辐射剂量的可能方法。

结论。介绍了在胸部计算机断层扫描过程中减少辐射量并保留高质量诊断图像的方法，这些图像可能足以可靠地检测COVID-19征候。减少辐射剂量是获得现实诊断信息的一种有道理的方法，保留将先进计算机化分析技术引入临床实践的可能性。

computed tomographylow-dose computed tomographyliterature reviewCOVID-19COVID-19 diagnosisкомпьютерная томографиянизкодозная компьютерная томографияобзор литературыCOVID-19диагностика COVID-19计算机断层扫描低剂量计算机断层扫描文献综述COVID-19COVID-19诊断This article was prepared by a team of authors as part of the research work (EGISU number: AAAA-A20-120071090058-7) in accordance with the Program of the Moscow Department of Health “Scientific support of metropolitan health” for 2020-2022.Данная статья подготовлена авторским коллективом в рамках научно-исследовательской работы (№ ЕГИСУ: АААА-А20-120071090058-7) в соответствии с Программой Департамента здравоохранения города Москвы «Научное обеспечение столичного здравоохранения» на 2020–2022 годы.Yang Y, Yang M, Shen C, et al. Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections. medRxiv. 2020. doi: 10.1101/2020.02.11.20021493Yang Y., Yang M., Shen C., et al. 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