Follow-up computed tomography scan in post-COVID-19 pneumonia

Chohan, Asad; Choudhury, Saiara; Dadhwal, Rahul; Vakil, Abhay; Franco, Rose; Taweesedt, Pahnwat

doi:10.4329/wjr.v14.i4.104

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…If the X-ray shows abnormalities, highresolution computed tomography (HRCT) is recommended to evaluate interstitial changes in the lungs, or a CT scan with pulmonary artery angiography to rule out pulmonary embolism. If fibrotic changes are observed on the chest CT, referral of the patient to a reference center for interstitial lung disease is necessary [16][17][18][19][20][21][22][23][24][25]. Artificial intelligence (AI), based on deep learning and machine learning algorithms, has been introduced to simplify and expedite the assessment of disease severity on chest CT scans.…”

Section: Introductionmentioning

confidence: 99%

Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia—A Comparison with Chest Computed Tomography: A Prospective Study

Zimna,

Sobiecka,

Wakuliński

et al. 2024

Viruses

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The onset of the COVID-19 pandemic allowed physicians to gain experience in lung ultrasound (LUS) during the acute phase of the disease. However, limited data are available on LUS findings during the recovery phase. The aim of this study was to evaluate the utility of LUS to assess lung involvement in patients with post-COVID-19 syndrome. This study prospectively enrolled 72 patients who underwent paired LUS and chest CT scans (112 pairs including follow-up). The most frequent CT findings were ground glass opacities (83.3%), subpleural lines (72.2%), traction bronchiectasis (37.5%), and consolidations (31.9%). LUS revealed irregular pleural lines as a common abnormality initially (56.9%), along with subpleural consolidation >2.5 mm ≤10 mm (26.5%) and B-lines (26.5%). A strong correlation was found between LUS score, calculated by artificial intelligence percentage involvement in ground glass opacities described in CT (r = 0.702, p < 0.05). LUS score was significantly higher in the group with fibrotic changes compared to the non-fibrotic group with a mean value of 19.4 ± 5.7 to 11 ± 6.6, respectively (p < 0.0001). LUS might be considered valuable for examining patients with persistent symptoms after recovering from COVID-19 pneumonia. Abnormalities identified through LUS align with CT scan findings; thus, LUS might potentially reduce the need for frequent chest CT examinations.

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Section: Introductionmentioning

confidence: 99%

Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia—A Comparison with Chest Computed Tomography: A Prospective Study

Zimna,

Sobiecka,

Wakuliński

et al. 2024

Viruses

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The macrostructure of lungs on multislice computed tomography scans in the long-term period after COVID-19 pneumonia

Kotlyarov,

Soldatov,

Lagkueva

et al. 2023

Pulʹmonologiâ (Mosk.)

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The purpose of the study using MSCT monitoring data was to investigate the semiotics of residual changes in the lungs in the long-term period (up to 2 years) after pneumonia associated with COVID-19 (COronaVIrus Disease 2019).Methods. A comparative analysis of MSCT data of the chest organs was carried out in 146 patients with a confirmed diagnosis of COVID-19-associated pneumonia in 2020 – 2021 and subsequent MSCT monitoring data until 2023. MSCT was performed using a 64-slice computed tomography scanner with data post-processed on the workstation.Results. Based on the analysis, 4 groups of patients were identified that differed in the severity of viral pneumonia and the prevalence of lung lesions. The first group of patients had the most beneficial course. In 90% of cases, there was a complete resolution of the consequences of viral pneumonia in terms macroscopic changes in lung tissue by the second year of observation. In the second group, which consisted primarily of older people, 27 (52.94%) patients in year 1 and in 33 (64.7%) patients in year 2 showed a recovery of macrostructure. This group demonstrated fibrous cords, reticular changes, reactions of pleura, and residual lesions (“ground glass”). A similar trend, but in a more severe form, was observed in group 3 patients. 40 patients (86.95%) had residual changes similar to those in group 2 (middle, elderly age and older people) with the addition of bronchial wall thickening and bronchiectasis. Only in 2 (22.22%) of 9 patients with atypical manifestations of COVID-19 pneumonia in the form of “crazy paving” changes in the form of reticular seals, fibrous cords, localized thickening of the pleura and lymphadenopathy persisted up to 2 years of observation.Conclusion. MSCT monitoring of the lungs of patients suffering from COVID-19-associated pneumonia up to 2 years after recovery showed that the prevalence and severity of post-COVID changes in the lungs depends on the severity of the disease (degree and nature of damage to the pulmonary parenchyma) and the patient’s age.

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Follow-up computed tomography scan in post-COVID-19 pneumonia

Cited by 2 publications

References 7 publications

Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia—A Comparison with Chest Computed Tomography: A Prospective Study

Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia—A Comparison with Chest Computed Tomography: A Prospective Study

The macrostructure of lungs on multislice computed tomography scans in the long-term period after COVID-19 pneumonia

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