3 research outputs found
Partial volume estimation in brain MRI revisited
International audienceWe propose a fast algorithm to estimate brain tissue concentrations from conventional T1-weighted images based on a Bayesian maximum a posteriori formulation that extends the \mixel" model developed in the 90's. A key observation is the necessity to incorporate additional prior constraints to the \mixel" model for the estimation of plausible concentration maps. Experiments on the ADNI standardized dataset show that global and local brain atrophy measures from the proposed algorithm yield enhanced diagnosis testing value than with several widely used soft tissue labeling methods
The factors predicting pneumonia in covid-19 patients: Preliminary results from a university hospital in Turkey
Background/aim: Pneumonia is the most serious clinical presentation of
COVID-19. This study aimed to determine the demographic, clinical, and
laboratory findings that can properly predict COVID-19 pneumonia.
Materials and methods: This study was conducted in the Gazi University
hospital. All hospitalized patients with confirmed and suspected
SARS-CoV-2 infection between 16 March 2020 and 30 April 2020 were
analyzed retrospectively. COVID-19 patients were separated into two
groups, pneumonia and nonpneumonia, and then compared to determine
predicting factors for COVID-19 pneumonia. Variables that had a P-value
of less than 0.20 and were not correlated with each other were included
in the logistic regression model.
Results: Of the 247 patients included in the study 58\% were female, and
the median age was 40. COVID-19 was confirmed in 70.9\% of these
patients. Among the confirmed COVID-19 cases, 21.4\% had pneumonia. In
the multivariate analysis male sex (P = 0.028), hypertension (P =
0.022), and shortness of breath on hospital admission (P = 0.025) were
significant factors predicting COVID-19 pneumonia.
Conclusion: Shortness of breath, male sex, and hypertension were
significant for predicting COVID-19 pneumonia on admission. Patients
with these factors should be evaluated more carefully for diagnostic
procedures, such as thorax CT