Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study
Aim. To study the prevalence of pneumonia features associated with 2019 coronavirus disease (COVID-19) in cancer patients based on chest computed tomography (CT) data using an artificial intelligence (AI) algorithm.Materials and methods. A cross-sectional study was conducted as part of the ARILUS pr...
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Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
2025-07-01
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| Series: | Сеченовский вестник |
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| Online Access: | https://www.sechenovmedj.com/jour/article/view/1323 |
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| author | A. A. Dyachenko A. M. Grjibovski M. A. Bogdanov D. V. Bogdanov E. A. Nazarova A. A. Meldo V. Yu. Chernina M. G. Belyaev V. A. Gombolevsky M. Yu. Valkov |
| author_facet | A. A. Dyachenko A. M. Grjibovski M. A. Bogdanov D. V. Bogdanov E. A. Nazarova A. A. Meldo V. Yu. Chernina M. G. Belyaev V. A. Gombolevsky M. Yu. Valkov |
| author_sort | A. A. Dyachenko |
| collection | DOAJ |
| description | Aim. To study the prevalence of pneumonia features associated with 2019 coronavirus disease (COVID-19) in cancer patients based on chest computed tomography (CT) data using an artificial intelligence (AI) algorithm.Materials and methods. A cross-sectional study was conducted as part of the ARILUS project. Using multitarget AI, CT images of 1148 patients examined at the Arkhangelsk Clinical Oncology Dispensary from 01.04.2020 to 31.12.2021 were analyzed. Patients were divided into groups: without signs of pneumonia (n = 592, 51.6%) and with signs of pneumonia (n = 556, 48.4%). In 95.3% of patients with pneumonia, the lesion volume was less than 25% (CT-1). Using multivariate Poisson regression, adjusted prevalence ratios (aPR) with 95% confidence intervals (CI) were calculated.Results. For demographic characteristics such as gender, age, place of residence, no relationship with the presence of signs of COVID-19 pneumonia was established. Topography of neoplasm is associated with the presence of signs of COVID-19 pneumonia (reference group – cancers of the female genital organs): lung cancer – aPR 1.87; 95% CI: 1.40–2.49; head and neck cancers – aPR 1.85; 95% CI: 1.32–2.58; upper gastrointestinal tract – aPR 1.51; 95% CI: 1.12–2.04; breast cancer – aPR: 1.38; 95% CI: 1.00–1.90; p < 0.01. The presence of pulmonary emphysema is associated with signs of COVID-19 pneumonia: aPR 1.25; 95% CI: 1.09–1.45, p = 0.002. With an increase in the Agatston score (AS) reflecting coronary artery calcification (reference group absence of calcification), the association with the presence of signs of COVID-19 pneumonia increased – for AS 1–99: aPR 1.24; 95% CI: 1.05–1.47; AS 100– 299: aPR 1.58; 95% CI: 1.33–1.87; AS 300 and above: aPR 1.61; 95% CI: 1.36–1.90; p < 0.001 for a linear trend.Conclusion. Factors associated with the detection of COVID-19 pneumonia among cancer patients include the localization of neoplasms in the lungs, head and neck organs, upper gastrointestinal tract, breast, and as well as the presence of signs of emphysema and coronary calcification according to CT data |
| format | Article |
| id | doaj-art-70474a9e04024a68a69b0ca4e458d3fb |
| institution | Kabale University |
| issn | 2218-7332 2658-3348 |
| language | Russian |
| publishDate | 2025-07-01 |
| publisher | Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University) |
| record_format | Article |
| series | Сеченовский вестник |
| spelling | doaj-art-70474a9e04024a68a69b0ca4e458d3fb2025-08-20T03:37:16ZrusFederal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)Сеченовский вестник2218-73322658-33482025-07-0116241710.47093/2218-7332.2025.16.2.4-17618Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS studyA. A. Dyachenko0A. M. Grjibovski1M. A. Bogdanov2D. V. Bogdanov3E. A. Nazarova4A. A. Meldo5V. Yu. Chernina6M. G. Belyaev7V. A. Gombolevsky8M. Yu. Valkov9Northern State Medical UniversityNorthern State Medical University; North-Eastern Federal University; Private University “REAVIZ”Northern State Medical UniversityNorthern State Medical University; Arkhangelsk Clinical Oncological DispensaryNational Medical Research Center of OncologyNorthern State Medical UniversityLLC “IRA Labs”LLC “IRA Labs”LLC “IRA Labs”; Artificial Intelligence Research Institute; Sechenov First Moscow State Medical University (Sechenov University)Northern State Medical University; Arkhangelsk Clinical Oncological DispensaryAim. To study the prevalence of pneumonia features associated with 2019 coronavirus disease (COVID-19) in cancer patients based on chest computed tomography (CT) data using an artificial intelligence (AI) algorithm.Materials and methods. A cross-sectional study was conducted as part of the ARILUS project. Using multitarget AI, CT images of 1148 patients examined at the Arkhangelsk Clinical Oncology Dispensary from 01.04.2020 to 31.12.2021 were analyzed. Patients were divided into groups: without signs of pneumonia (n = 592, 51.6%) and with signs of pneumonia (n = 556, 48.4%). In 95.3% of patients with pneumonia, the lesion volume was less than 25% (CT-1). Using multivariate Poisson regression, adjusted prevalence ratios (aPR) with 95% confidence intervals (CI) were calculated.Results. For demographic characteristics such as gender, age, place of residence, no relationship with the presence of signs of COVID-19 pneumonia was established. Topography of neoplasm is associated with the presence of signs of COVID-19 pneumonia (reference group – cancers of the female genital organs): lung cancer – aPR 1.87; 95% CI: 1.40–2.49; head and neck cancers – aPR 1.85; 95% CI: 1.32–2.58; upper gastrointestinal tract – aPR 1.51; 95% CI: 1.12–2.04; breast cancer – aPR: 1.38; 95% CI: 1.00–1.90; p < 0.01. The presence of pulmonary emphysema is associated with signs of COVID-19 pneumonia: aPR 1.25; 95% CI: 1.09–1.45, p = 0.002. With an increase in the Agatston score (AS) reflecting coronary artery calcification (reference group absence of calcification), the association with the presence of signs of COVID-19 pneumonia increased – for AS 1–99: aPR 1.24; 95% CI: 1.05–1.47; AS 100– 299: aPR 1.58; 95% CI: 1.33–1.87; AS 300 and above: aPR 1.61; 95% CI: 1.36–1.90; p < 0.001 for a linear trend.Conclusion. Factors associated with the detection of COVID-19 pneumonia among cancer patients include the localization of neoplasms in the lungs, head and neck organs, upper gastrointestinal tract, breast, and as well as the presence of signs of emphysema and coronary calcification according to CT datahttps://www.sechenovmedj.com/jour/article/view/1323malignant neoplasmspulmonary infiltration in covid-19artificial intelligence algorithmpopulationbased cancer registry |
| spellingShingle | A. A. Dyachenko A. M. Grjibovski M. A. Bogdanov D. V. Bogdanov E. A. Nazarova A. A. Meldo V. Yu. Chernina M. G. Belyaev V. A. Gombolevsky M. Yu. Valkov Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study Сеченовский вестник malignant neoplasms pulmonary infiltration in covid-19 artificial intelligence algorithm populationbased cancer registry |
| title | Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study |
| title_full | Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study |
| title_fullStr | Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study |
| title_full_unstemmed | Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study |
| title_short | Prevalence of COVID-19-associated pneumonia signs on chest computed tomography in cancer patients: the ARILUS study |
| title_sort | prevalence of covid 19 associated pneumonia signs on chest computed tomography in cancer patients the arilus study |
| topic | malignant neoplasms pulmonary infiltration in covid-19 artificial intelligence algorithm populationbased cancer registry |
| url | https://www.sechenovmedj.com/jour/article/view/1323 |
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