Radiologic severity index can be used to predict mortality risk in patients with COVID-19.

Introduction: Pneumonia is a common symptom of coronavirus disease-2019 (COVID-19), and this study aimed to determine how analyzing initial thoracic computerized-tomography (CT) scans using semi-quantitative methods could be used to predict the outcomes for hospitalized patients.

Materials And Methods: This study looked at previously collected data from adult patients who were hospitalized with a positive test for severe acute respiratory syndrome coronavirus-2 and had CT scans of their thorax at the time of presentation. The CT scans were evaluated for the extent of lung involvement using a semi-quantitative scoring system ranging from 0 to 72.

A Novel Method for the Generation of Realistic Lung Nodules Visualized Under X-Ray Imaging.

Objective: Image-guided diagnosis and treatment of lung lesions is an active area of research. With the growing number of solutions proposed, there is also a growing need to establish a standard for the evaluation of these solutions. Thus, realistic phantom and preclinical environments must be established.

Magnetic resonance imaging characteristics of ovarian torsion: insights into diagnostic features.

Purpose: We aimed to describe the magnetic resonance imaging (MRI) features of adnexal torsion, additional radiological findings and apparent diffusion coefficient (ADC) measurements of the affected and non-affected ovaries.

Methods: We retrospectively examined the MRI of 34 torsed adnexa of 34 cases. We specifically examined the peripherally displaced follicle sign, stromal edema, lack of stromal contrast enhancement, follicular rim sign, T2 hypointense rim sign, uterine deviation, adnexal displacement, whirlpool sign, T2 hypointense dot sign, and tubal thickening.

Association between behavioral parameters of men in psychiatric emergency department video recording and subsequent violence in the psychiatric ward.

Violence risk is a major challenge among acute psychiatric inpatients. The study aimed to predict violent behavior risk in an acute psychiatric ward using video recordings from the emergency department. 69 videos of the emergency department recording the first ten minutes following patients' arrivals were included.