ldtЛучевая диагностика и терапияDiagnostic radiology and radiotherapy2079-5343Baltic Medical Education Center10.22328/2079-5343-2024-15-4-87-97ldt-1053Research ArticleОРИГИНАЛЬНЫЕ СТАТЬИORIGINAL RESEARCHПопуляционное исследование расширения легочного ствола у населения г. Москвы на основе автоматизированного анализа результатов лучевых исследованийInvestigation of pulmonary artery dilation in the population of Moscow using automated analysis of radiological examination resultshttps://orcid.org/0000-0003-4485-2638СоловьёвА. В.SolovevA. V.

Соловьёв Александр Владимирович – младший научный сотрудник отдела стандартизации и контроля качества государственного бюджетного учреждения здравоохранения города Москвы; врач-рентгенолог государственного бюджетного учреждения здравоохранения города Москвы

127051, Москва, ул. Петровка, д. 24, стр. 1;

119049, Москва, пер. 4-й Добрынинский, д. 1/9

Alexander V. Solovev – Junior Researcher at the Department of Standardization and Quality Control Scientific and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Department of Health

127051, Moscow, st. Petrovka, 24, building 1;

119049, Moscow, per. 4th Dobryninsky, 1/9

atlantis.92@mail.ruhttps://orcid.org/0000-0002-0208-5218ВасильевЮ. А.VasilevYu. A.

Васильев Юрий Александрович – кандидат медицинских наук, директор государственного бюджетного учреждения здравоохранения города Москвы

127051, Москва, ул. Петровка, д. 24, стр. 1

Yuriy A. Vasilev – Cand. of Sci. (Med.), Director

127051, Moscow, st. Petrovka, 24, building 1

VasilevYA1@zdrav.mos.ruhttps://orcid.org/0000-0002-5649-2193СиницынВ. Е.SinitsynV. E.

Синицын Валентин Евгеньевич – доктор медицинских наук, профессор, руководитель по развитию международного научного партнерства государственного бюджетного учреждения здравоохранения города Москвы; заведующий кафедрой лучевой диагностики и терапии факультета фундаментальной медицины федерального государственного бюджетного образовательного учреждения высшего образования

127051, Москва, ул. Петровка, д. 24, стр. 1;

 

Valentin E. Sinitsyn – Dr. of Sci. (Med.), Professor, Head of the Department of Radiation Diagnostics and Therapy of the Faculty of Fundamental Medicine

127051, Moscow, st. Petrovka, 24, building 1

vsini@mail.ruhttps://orcid.org/0000-0002-2990-7736ВладзимирскийА. В.VladzymyrskyyA. V.

Владзимирский Антон Вячеславович – доктор медицинских наук, заместитель директора по научной работе государственного бюджетного учреждения здравоохранения города Москвы

127051, Москва, ул. Петровка, д. 24, стр. 1

Anton V. Vladzymyrskyy – Dr. of Sci. (Med.), Deputy Director for Scientific Work Scientific

127051, Moscow, st. Petrovka, 24, building 1

VladzimirskijAV@zdrav.mos.ruhttps://orcid.org/0009-0009-8470-223XИвановаГ. В.IvanovaG. V.

Иванова Галина Владимировна – младший научный сотрудник отдела стандартизации и контроля качества государственного бюджетного учреждения здравоохранения города Москвы

127051, Москва, ул. Петровка, д. 24, стр. 1

Galina V. Ivanova – Junior Researcher at the Department of Standardization and Quality Control Scientific

127051, Moscow, st. Petrovka, 24, building 1

IvanovaGV13@zdrav.mos.ruНаучно-практический клинический центр диагностики и телемедицинских технологий; Морозовская детская городская клиническая больницаРоссияResearch and Practical Clinical Center for Diagnostics and Telemedicine ; Morozov Children’s Municipal Clinical HospitalRussian FederationНаучно-практический клинический центр диагностики и телемедицинских технологийРоссияResearch and Practical Clinical Center for Diagnostics and TelemedicineRussian FederationНаучно-практический клинический центр диагностики и телемедицинских технологий; Московский государственный университет имени М. В. ЛомоносоваРоссияResearch and Practical Clinical Center for Diagnostics and Telemedicine ; Lomonosov Moscow State UniversityRussian Federation2024290120251548797Copyright © Соловьёв А.В., Васильев Ю.А., Синицын В.Е., Владзимирский А.В., Иванова Г.В., 20252025Соловьёв А.В., Васильев Ю.А., Синицын В.Е., Владзимирский А.В., Иванова Г.В.Solovev A.V., Vasilev Y.A., Sinitsyn V.E., Vladzymyrskyy A.V., Ivanova G.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://radiag.bmoc-spb.ru/jour/article/view/1053ВВЕДЕНИЕ

ВВЕДЕНИЕ: В современной клинической практике диагностика и мониторинг состояния легочного ствола являются важными компонентами заботы о пациентах с сердечно-сосудистыми и респираторными заболеваниями. В Российской Федерации пока имеется ограниченное количество эпидемиологических данных, касающихся распространенности дилатации легочного ствола, частоты выявления легочной гипертензии и ее причин.

Настоящее исследование направлено на заполнение этого пробела, предоставляя популяционные данные о распространенности дилатации ствола легочной артерии в городе Москве. Данная работа стремится предложить обоснованную оценку патологии, охватывающую как основные характеристики, так и особенности воздействия различных факторов, таких как возраст и пол, используя передовые технологии искусственного интеллекта.

ЦЕЛЬ

ЦЕЛЬ: Исследование распространенности расширения легочного ствола в городе Москве по данным компьютерной томографии органов грудной клетки с автоматическим анализом, выполненным с помощью технологии искусственного интеллекта.

МАТЕРИАЛЫ И МЕТОДЫ

МАТЕРИАЛЫ И МЕТОДЫ: Исследование включает анализ обширного объема КТ-исследований органов грудной клетки, проведенных в период с октября 2022 г. по февраль 2023 г. Общая выборка исследования составила 125 878 пациентов. Для автоматического выявления признаков дилатации легочного ствола применялись технологии искусственного интеллекта.

РЕЗУЛЬТАТЫ

РЕЗУЛЬТАТЫ: Анализ данных 125 878 КТ-исследований, включая 57 913 мужчин и 67 965 женщин, показал, что 34,4% пациентов (43 242 человека) имели признаки расширения легочного ствола. Среди них доля мужчин с данной патологией составила 35,6% (20 630 человек), а женщин – 33,3% (22 612 человек). Частота выявления патологии увеличивалась с возрастом, начиная с 14,8% среди молодых пациентов и достигая 62,7% среди пожилых. Распространенность расширения легочного ствола среди населения г. Москвы составила 794,7 случая на 100 000 человек.

ОБСУЖДЕНИЕ

ОБСУЖДЕНИЕ: На основании проведенного исследования делаются выводы о значимости расширения легочного ствола как предиктора легочной гипертензии. Отмечается важность ранней диагностики для предотвращения тяжелых осложнений, особенно у пациентов с хроническими заболеваниями легких. Была выявлена статистически значимая корреляция между патологией и полом, а также возрастной группой. Детальный анализ также выявил связь с возрастом и полом в контексте диаметра легочного ствола.

ЗАКЛЮЧЕНИЕ

ЗАКЛЮЧЕНИЕ: Исследование предоставило первые популяционные данные о распространенности дилатации легочного ствола в Москве. Результаты исследования могут служить основой для развития стратегий скрининга и подходов к лечению данной патологии.

INTRODUCTION

INTRODUCTION: In modern clinical practice, the diagnosis establishment and monitoring of pulmonary arteries are important components of care for patients with cardiovascular and respiratory diseases. However, in Russia, there remains a limited amount of epidemiological data on the prevalence of pulmonary artery dilation, especially at the population level.

This study aims to fill this gap by providing population-based data on the prevalence of pulmonary artery dilation in the city of Moscow. With the help of advanced artificial intelligence technologies, this work seeks to offer a comprehensive assessment of the pathology, covering both its main characteristics and the effects of various factors such as age and gender.

OBJECTIVE

OBJECTIVE: To investigate the prevalence of pulmonary artery dilation in Moscow using the data from computed tomography (CT) scans of the chest analysed by means of an automatic artificial intelligence technology.

MATERIALS AND METHODS

MATERIALS AND METHODS: The study involved the analysis of a large volume of chest CT scans acquired from September 2022 to February 2023. The total study sample comprised 134,218 patients. Artificial intelligence technologies were applied for the automatic detection of signs of pulmonary artery dilation.

RESULTS

RESULTS: An analysis of 125,878 CT scans, including 57,913 men and 67,965 women, revealed that 34.4% of patients (43,242 individuals) showed signs of pulmonary artery dilation. Among them, the proportion of men with this pathology was 35.6% (20,630 individuals), while for women it was 33.3% (22,612 individuals). The prevalence of the pathology increased with age, starting at 14.8% among younger patients and reaching 62.7% among the elderly. The prevalence of pulmonary artery dilation among the population of Moscow was 794.7 cases per 100,000 people.

DISCUSSION

DISCUSSION: The results of this research allowed us to draw conclusions regarding the meaning of pulmonary artery dilation as a predictor of pulmonary hypertension. The results demonstrated a correlation between the frequency of pathology occurrence and gender and age groups, with a more pronounced association observed in women. Detailed analysis also revealed corellations of pulmonary artery diameter with age and gender.

CONCLUSION

CONCLUSION: The study provided the first population-based data on the prevalence of pulmonary artery dilation in Moscow. The importance of early diagnosis to prevent severe complications, especially in patients with chronic lung diseases, is emphasized. The study results can provide a basis for screening strategies and treatment approaches for this pathology.

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The authors declare that there are no conflicts of interest present.