ArticleEmergency radiology2020
Predictors of coronavirus disease 19 (COVID-19) pneumonitis outcome based on computed tomography (CT) imaging obtained prior to hospitalization: a retrospective study.
Article in Emergency radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Prognostication and integration of bedside lung ultrasound and computed tomography imaging findings with clinical features to Predict COVID-19 In-hospital mortality and ICU admission.Emergency radiology · 2025Article
- COVID-19 ARDS: a review of imaging features and overview of mechanical ventilation and its complications.Emergency radiology · 2022Review
- Chest CT Scan Features to Predict COVID-19 Patients' Outcome and Survival.Radiology research and practice · 2022Article
- Is target sign (bull's eye appearance) associated with adverse outcomes in COVID-19 patients? A case series and literature review.Caspian journal of internal medicine · 2022Article
- Occurrence of pulmonary residuals as one of the sequelae of COVID-19 and it's predictors among moderate and severe cases.The Indian journal of tuberculosis · 2021Observational
- CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions.The British journal of radiology · 2021Article
- DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image.SN computer science · 2021Article
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12 authors.
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Abstract
purposeComputed tomography (CT) has been utilized as a diagnostic modality in the coronavirus disease 19 (COVID-19), while some studies have also suggested a prognostic role for it. This study aimed to assess the diagnostic and prognostic value of computed tomography (CT) imaging in COVID-19 patients.
methodsThis was a retrospective study of fifty patients with COVID-19 pneumonia. Twenty-seven patients survived, while 23 passed away. CT imaging was performed in all of the patients on the day of admission. Imaging findings were interpreted based on current guidelines by two expert radiologists. Imaging findings were compared between surviving and deceased patients. Lung scores were assigned to patients based on CT chest findings. Then, the receiver operating characteristic curve was used to determine cutoff values for lung scores.
resultsThe common radiologic findings were ground-glass opacities (82%) and airspace consolidation (42%), respectively. Air bronchogram was more commonly seen in deceased patients (p = 0.04). Bilateral and multilobar involvement was more frequently found in deceased patients (p = 0.049 and 0.014, respectively). The mean number of involved lobes was 3.46 ± 1.80 lobes in surviving patients and 4.57 ± 0.60 lobes in the deceased patients (p = 0.009). The difference was statistically significant. The area under the curve for a lung score cutoff of 12 was 0.790.
conclusionAir bronchogram and bilateral and multilobar involvement were more frequently seen in deceased patients and may suggest a poor outcome for COVID-19 pneumonia.
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