A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography.

Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading worldwide and caused a global pandemic. Rapid and early detection is essential to contain COVID-19. Here, we first developed a deep learning (DL) integrated radiomics model for end-to-end identification of COVID-19 using CT scans and then validated its clinical feasibility.

Clinical and imaging features of pediatric COVID-19.

Background: Pediatric COVID-19 is relatively mild and may vary from that in adults. This study was to investigate the epidemic, clinical, and imaging features of pediatric COVID-19 pneumonia for early diagnosis and treatment.

Methods: Forty-one children infected with COVID-19 were analyzed in the epidemic, clinical and imaging data.

Persistence of SARS-CoV-2 virus RNA in feces: A case series of children.

Aims: To determine how long SARS-CoV-2 virus RNA persists in fecal specimens in children with COVID-19.

Methods: Retrospectively, ten children with confirmed COVID-19 in the Jinan Infectious Disease Hospital Affiliated to Shandong University were enrolled between January 23, 2020 to March 9, 2020. Epidemiological, clinical, laboratory, and radiological characteristics of the children were analyzed.

Intravoxel Incoherent Motion (IVIM) Diffusion-Weighted Imaging (DWI) in Patients with Liver Dysfunction of Chronic Viral Hepatitis: Segmental Heterogeneity and Relationship with Child-Turcotte-Pugh Class at 3 Tesla.

Background: Few studies focused on the region of interest- (ROI-) related heterogeneity of liver intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI). The aim of the study was to evaluate the differences of liver IVIM parameters among liver segments in cirrhotic livers (chronic viral hepatitis).

Material And Methods: This was a retrospective study of 82 consecutive patients with chronic liver disease who underwent MRI examination at the Jinan Infectious Diseases Hospital between January 2015 and December 2016.