Follow-up chest radiographic findings in patients with MERS-CoV after recovery.

Purpose: To evaluate the follow-up chest radiographic findings in patients with Middle East respiratory syndrome coronavirus (MERS-CoV) who were discharged from the hospital following improved clinical symptoms.

Materials And Methods: Thirty-six consecutive patients (9 men, 27 women; age range 21-73 years, mean ± SD 42.5 ± 14.

Middle East Respiratory Syndrome Coronavirus: What Does a Radiologist Need to Know?

Objective: The overarching goal of this article is to provide radiologists with the most up-to-date information regarding the underlying epidemiology, pathophysiology, clinical features, and imaging findings related to Middle East respiratory syndrome coronavirus (MERS-CoV), a potentially deadly new infection.

Conclusion: An increased awareness of MERS-CoV and an understanding of the radiologic features of MERS-CoV can improve the early assessment and monitoring of this new infection. Radiologists can provide information based on chest radiographic and CT scores that can be helpful for patient management and predicting prognosis.

Acute Middle East Respiratory Syndrome Coronavirus: Temporal Lung Changes Observed on the Chest Radiographs of 55 Patients.

Objective: The objective of our study was to describe lung changes on serial chest radiographs from patients infected with the acute Middle East respiratory syndrome corona-virus (MERS-CoV) and to compare the chest radiographic findings and final outcomes with those of health care workers (HCWs) infected with the same virus. Chest radiographic scores and comorbidities were also examined as indicators of a fatal outcome to determine their potential prognostic value.

Materials And Methods: Chest radiographs of 33 patients and 22 HCWs infected with MERS-CoV were examined for radiologic features indicative of disease and for evidence of radiographic deterioration and progression.

CT correlation with outcomes in 15 patients with acute Middle East respiratory syndrome coronavirus.

Objective: The purpose of this article is to retrospectively analyze chest CT findings for 15 patients with Middle East respiratory syndrome coronavirus and to identify features associated with survival.

Materials And Methods: Patients were assigned to group 1 if they died (n=9) and to group 2 if they made a full recovery (n=6). Two reviewers scored chest radiographs and CT examinations for segmental involvement, ground-glass opacities, consolidation, and interstitial thickening.

Williams-Beuren syndrome: computed tomography imaging review.

Williams-Beuren syndrome (WBS) affects young infants and children. The underlying etiopathogenesis of this rare disease is due to the mutation of the elastin gene that is responsible for the elasticity of the arterial wall. As a result of inadequate elastin production, the major systemic arteries become abnormally rigid and can be manifested by an impediment to the blood flow.

Computed tomography virtual bronchoscopy: normal variants, pitfalls, and spectrum of common and rare pathology.

A broad spectrum of pathologies that involve the laryngotracheobronchial airway and imaging plays a crucial role in evaluating these abnormalities. Computed tomography with virtual bronchoscopy has been found to be very helpful in defining the location, extent, and nature of these lesions, and is increasingly being used even in patients with contraindications for fiberoptic bronchoscopy and laryngoscopy. Ionizing radiation, associated with virtual bronchoscopy, can be minimized by using low-dose multidetector computed tomography and hybrid iterative reconstruction techniques.

Normative MDCT cross-sectional data estimation of superior vena cava and innominate vein in growing children using age as a predictor.

This retrospective study aimed to determine the superior vena cava (SVC) and left innominate vein (INV) normative cross-sectional area in children noninvasively using age as a predictor and also to compare the correlation of the area measured with the diameter on multidetector computed tomography (MDCT). Analysis of the SVC-INV cross-sectional area was performed for 73 consecutive patients. The cross-sectional area of the SVC-INV was manually estimated.