Study on the prognosis predictive model of COVID-19 patients based on CT radiomics.

Making timely assessments of disease progression in patients with COVID-19 could help offer the best personalized treatment. The purpose of this study was to explore an effective model to predict the outcome of patients with COVID-19. We retrospectively included 188 patients (124 in the training set and 64 in the test set) diagnosed with COVID-19. Patients were divided into aggravation and improvement groups according to the disease progression. Three kinds of models were established, including the radiomics, clinical, and combined model. Receiver operating characteristic curves, decision curves, and Delong's test were used to evaluate and compare the models. Our analysis showed that all the established prediction models had good predictive performance in predicting the progress and outcome of COVID-19.

Clinical imaging characteristics of inpatients with coronavirus disease-2019 in Heilongjiang Province, China: a retrospective study.

OBJECTIVE: To investigate the clinical, laboratory, and radiological characteristics of patients with coronavirus disease-2019 (COVID-19) in Heilongjiang Province. RESULTS: Patients in the ICU group were older and their incidence of cardiovascular disease was higher than those in the non-ICU group. Lymphocyte levels were lower and neutrophil and D-dimer levels were higher in the ICU than that in the non-ICU group. Compared to the non-ICU group, the incidence of pulmonary consolidation and ground-glass opacity with consolidation was significantly higher in the ICU group, all lung lobes were more likely to be involved, with higher number of lung lobes and areas surrounding the bronchi. Of the 59 patients with COVID-19 in this group, 15 received mechanical ventilation. All intubated patients involved lung lobes, and a large number of lesions were observed in the area around the bronchial vessels. CONCLUSION: Significant differences were observed in clinical symptoms, laboratory tests, and computed tomography features between the ICU and non-ICU groups. METHODS: A total of 59 patients with COVID-19, comprising 44 patients in the intensive care unit (ICU) and 15 in the non-ICU, were retrospectively analyzed. Characteristics of the two groups of patients were compared.

CT findings of severe novel coronavirus disease (COVID-19): A case report of Heilongjiang Province, China.

2019 novel coronavirus disease (COVID-19, previously known as novel coronavirus pneumonia) was first discovered in December 2019 and spread widely in China and all over the world in 2020. The initial symptoms of most patients include fever, cough, and fatigue. Dyspnea may occur with the progress of the disease, and acute respiratory distress syndrome may occur in severe cases. The CT manifestations of this disease are mainly ground-glass opacity (GGO) in the lung, which may be accompanied by patchy consolidation, and fibrous changes may appear in the lung at the later stage of the disease. Combined with typical clinical and imaging findings and positive nucleic acid test results, the disease can be diagnosed. We report the first case of novel coronavirus disease (COVID-19) in Heilongjiang Province, China. The patient was seriously ill, who felt that he suffered from fever, fatigue, cough, and expectoration and sought medical treatment, with a history of contact with Wuhan. The leukocyte count was normal, and the lymphocyte count was decreased. CT imaging showed large GGO and partial patchy consolidation in both lungs. The patient recovered and was discharged after 26 days of treatment. This study is helpful for early diagnosis and timely clinical management by mastering the typical imaging of novel coronavirus disease (COVID-19).