Category Archives: Tak Berkategori

Coronavirus disease-2019 (COVID-19) originated in the Wuhan, Hubei Province, China in November 2019 and has since been declared a pandemic by the WHO. COVID-19 is an acute infectious disease, primarily affecting the respiratory system. Currently, real-time reverse transcription polymerase chain … Continue reading →

In general, combined chest CT, clinical symptoms, and laboratory tests facilitates the diagnosis of COVID-19. Increasing in-depth understanding of the disease, research, and the continuous improvement of artificial intelligence technology will further  promote the establishment of a comprehensive prevention and … Continue reading →

The artificial intelegence – system has outstanding perfomance in the detection of subtle GGO, which is the most easily missed typical CT feature of COVID-19. Also, it can precisely segment the lesion region, calculate the lesion volume, volume rates of … Continue reading →

Application of artificial intelligence (AI) in COVID-19 A large amount of CT images makes it difficult for radiologists to compare among serial studies. Thus, rapid detection, accurate location of lesions, and evaluation of lesion size, properties, and lesion dynamics are … Continue reading →

Streptococcus pneumonia is characterized by the consolidation of lobes or lobules without GGO. Both mycoplasma and aspiration peumonia distribute along bronchovascular bundle, which is significantly different from COVID-19 pneumonia. In study comparing chest CT from 219 patients with COVID-19 pneumonia … Continue reading →

Differential  diagnosis with other pneumonia Although the imaging features of COVID-19 overlap with those of SARS and MERS, there are differences on imaging exams that set the COVID-19 pnemonia apart. It is essential to make a differential diagnosis for early … Continue reading →

Other studies focusing on the evolution of COVID-19 pneumonia concluded that the lung segments showed marked changes with decreasing of GGOs and increasing of crazy-paving pattern and consolidation. Patients recovering from COVID-19 can be tracked with CT to assess for … Continue reading →

Pan et al. investigated the time course of lung changes during recovery from COVID-19 pneumonia. The results showed that with the evolution of the disease, GGO would enlarge with a crazy paving pattern and partial consolidation. Lung involvement reached a … Continue reading →

Dynamic changes on chest CT Chest CT can also evaluate the time course of COVID-19 and assess the evolution of disease severity. Chung et al. evaluated each of the five lung lobes and determined the degree of involvement and rated … Continue reading →