Chronic Lung Injury after COVID-19 Pneumonia: Clinical, Radiologic, and Histopathologic Perspectives.
Min Jae ChaJoshua J SolomonJong Eun LeeHye Won ChoiKum Ju ChaeKyung Soo LeeDavid A LynchPublished in: Radiology (2024)
With the COVID-19 pandemic having lasted more than 3 years, concerns are growing about prolonged symptoms and respiratory complications in COVID-19 survivors, collectively termed post-COVID-19 condition (PCC). Up to 50% of patients have residual symptoms and physiologic impairment, particularly dyspnea and reduced diffusion capacity. Studies have also shown that 24%-54% of patients hospitalized during the 1st year of the pandemic exhibit radiologic abnormalities, such as ground-glass opacity, reticular opacity, bronchial dilatation, and air trapping, when imaged more than 1 year after infection. In patients with persistent respiratory symptoms but normal results at chest CT, dual-energy contrast-enhanced CT, xenon 129 MRI, and low-field-strength MRI were reported to show abnormal ventilation and/or perfusion, suggesting that some lung injury may not be detectable with standard CT. Histologic patterns in post-COVID-19 lung disease include fibrosis, organizing pneumonia, and vascular abnormality, indicating that different pathologic mechanisms may contribute to PCC. Therefore, a comprehensive imaging approach is necessary to evaluate and diagnose patients with persistent post-COVID-19 symptoms. This review will focus on the long-term findings of clinical and radiologic abnormalities and describe histopathologic perspectives. It also addresses advanced imaging techniques and deep learning approaches that can be applied to COVID-19 survivors. This field remains an active area of research, and further follow-up studies are warranted for a better understanding of the chronic stage of the disease and developing a multidisciplinary approach for patient management.
Keyphrases
- contrast enhanced
- coronavirus disease
- sars cov
- dual energy
- magnetic resonance imaging
- diffusion weighted
- computed tomography
- magnetic resonance
- end stage renal disease
- image quality
- diffusion weighted imaging
- deep learning
- chronic kidney disease
- newly diagnosed
- ejection fraction
- respiratory syndrome coronavirus
- high resolution
- squamous cell carcinoma
- young adults
- peritoneal dialysis
- prognostic factors
- sleep quality
- positron emission tomography
- respiratory failure
- photodynamic therapy
- mass spectrometry
- intensive care unit
- radiation therapy
- physical activity
- extracorporeal membrane oxygenation
- respiratory tract
- machine learning
- patient reported outcomes
- lymph node
- risk factors