Comparison of clinical data and computed tomography semiotics of the lungs in COVID-19

Петриков, С. С.; Попугаев, К. А.; Бармина, Т. Г.; Zabavskaya, O. A.; Sharifullin, F A; Коков, Л. С.

doi:10.21292/2075-1230-2020-98-7-14-25

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…Пневмония при коронавирусе схожа с другими вирусными пневмониями. Это чаще двустороннее поражение легких, при котором в патологический процесс вовлекается интерстиций [4,5]. При этом нарушается вентиляционно-перфузионный баланс, что ведет к гипоксемии и дыхательной недостаточности.…”

Section: Introductionunclassified

Long-Term Results of Treatment of Patients With Covid-19-Associated Pneumonia in Grodno Region

Demidik¹,

Вольф²,

Mahiliavets³

et al. 2023

Journal GrGMU

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COVID-19 causes an acute and often severe form of viral pneumonia. Aim of the study: To evaluate the long-term results of treatment of COVID-19-associated pneumonia according to control computed tomography findings in patients of Grodno region. Material and methods. A retrospective analysis of medical records of 170 patients of Grodno University Clinic was carried out. The long-term results of treatment of COVID-19-associated pneumonia in 20 patients were evaluated. Results. The average age of the patients was 59 years. The patients with a moderate form of the disease accounted for 77.6%. Respiratory failure was noted in 75.3% of cases. According to computed tomography of the chest, all patients had bilateral interstitial lung lesions of varying degree: CT1 – 28.8%, CT2 – 51.2%, CT3 – 17.6%, CT4 – 2.4%. Conclusions. Analysis of the long-term results of treatment according to CT data after 3-5 months showed that complete recovery was achieved in 35.0% of patients, and interstitial changes in the lungs persisted in 65.0% of cases. After 6-12 months, 3 patients achieved complete recovery, and 2 patients had minimal interstitial changes.

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Section: Introductionunclassified

Long-Term Results of Treatment of Patients With Covid-19-Associated Pneumonia in Grodno Region

Demidik¹,

Вольф²,

Mahiliavets³

et al. 2023

Journal GrGMU

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CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification

Goncharov

Pisov

Shevtsov

et al. 2021

Medical Image Analysis

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Chest computed tomography for outcome prediction in laboratory-confirmed COVID-19: A retrospective analysis of 38,051 cases

Morozov

Chernina

Blokhin

et al. 2020

Digital Diagnostics

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BACKGROUND:In the current epidemiological situation, computed tomography (CT) of chest organs plays an important role in disease diagnosis. Clinical and CT data allow physicians to quickly establish the probability of the presence and prognosis of patients with coronavirus disease 2019 (COVID-19). AIMS:This study aimed to predict outcomes in patients with laboratory-confirmed COVID-19 based on chest CT and a semi-quantitative visual pulmonary lesion grading system (CT 04). MATERIALS AND METHODS:A retrospective analysis of the Unified Medical Information and Analytical Service and Unified Radiological Information Service records from March 01, 2020 to July 30, 2020 was performed. The inclusion criteria were as follows: patients diagnosed with U07.1 (laboratory-verified coronavirus infection) from March 01, 2020 to July 30, 2020 and referred for a chest CT by a physician with suspected community-acquired pneumonia caused by COVID-19; the maximum period between laboratory verification and CT was not more than five days. The observation period for each patient was at least till 30 days from the date of CT. CT was performed in 48 medical organizations providing primary medical care to adults in Moscow. The exclusion criterion was a negative reverse transcription-polymerase chain reaction results by July30, 2020. The CT 04 scale is recommended for use in the Russian Federation to estimate the volume of lung parenchyma lesions when COVID-19 is suspected. RESULTS:The total sample volume was 38,051 patients. In this study, the risk of death was three times higher for CT-4 than for CT-0. In the KaplanMeier survival curve, the survival rate of patients in the CT-3 category was almost three times lower (hazard ratio = 2.94) than in the CT 02 categories; in addition, the higher the initial category of CT, the lower the risk of deterioration. The time for hospitalization decreased with the increase in the CT grade. CONCLUSION:The visual CT 04 scale can be used to predict outcomes, such as hospitalizations and deaths, in patients suspected of COVID-19 who underwent chest CT in primary health care.

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Comparison of clinical data and computed tomography semiotics of the lungs in COVID-19

Cited by 4 publications

References 14 publications

Long-Term Results of Treatment of Patients With Covid-19-Associated Pneumonia in Grodno Region

Long-Term Results of Treatment of Patients With Covid-19-Associated Pneumonia in Grodno Region

CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification

Chest computed tomography for outcome prediction in laboratory-confirmed COVID-19: A retrospective analysis of 38,051 cases

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