METHODOLOGY: A cohort (n = 206) of fourth-year undergraduate dental students were recruited from four different Dental Schools and divided randomly into two groups (Group A and B). The participants assessed six test endodontic cases using anonymized versions of the American Association of Endodontists (AAE) case difficulty assessment form (AAE Endodontic Case Difficulty Assessment Form and Guidelines, 2006) and EndoApp, a web-based CDA tool. Group A (n = 107) used the AAE form for assessment of the first three cases, followed by EndoApp for the latter. Group B (n = 99) used EndoApp for the initial three cases and switched to the AAE form for the remainder. Data were collected online and analysed to assess participants' knowledge reinforcement and agreement with the recommendation generated. Statistical analysis was performed using the two-way mixed model anova, Cohen's Kappa (κ) and independent t-tests, with the levels of significance set at P
AREAS COVERED: A literature search was performed using PubMed between December 1, 2019-June 23, 2020. This review highlights the current state of knowledge on the viral replication and pathogenicity, diagnostic and therapeutic strategies, and management of COVID-19. This review will be of interest to scientists and clinicians and make a significant contribution toward development of vaccines and targeted therapies to contain the pandemic.
EXPERT OPINION: The exit strategy for a path back to normal life is required, which should involve a multi-prong effort toward development of new treatment and a successful vaccine to protect public health worldwide and prevent future COVID-19 outbreaks. Therefore, the bench to bedside translational research as well as reverse translational works focusing bedside to bench is very important and would provide the foundation for the development of targeted drugs and vaccines for COVID-19 infections.
METHODS: Images of 31 adult patients who underwent CTPA examinations in our institution from March to April 2019 were retrospectively collected. Other data, such as scanning parameters, radiation dose and body habitus information from the subjects were also recorded. Six different levels of IR were applied to the volume data of the subjects. Five circles of the region of interest (ROI) were drawn in five different arteries namely, pulmonary trunk, right pulmonary artery, left pulmonary artery, ascending aorta and descending aorta. The mean Signal-to-noise ratio (SNR) was obtained, and the FOM was calculated in a fraction of the SNR2 divided by volume-weighted CT dose index (CTDIvol) and SNR2 divided by the size-specific dose estimates (SSDE).
RESULTS: Overall, we observed that the mean value of CTDIvol and SSDE were 13.79±7.72 mGy and 17.25±8.92 mGy, respectively. Notably, SNR values significantly increase with increase of the IR level (p