Paranasal sinuses computed tomography findings in anosmia of COVID-19

Publication date: Available online 3 July 2020Source: American Journal of OtolaryngologyAuthor(s): Ali Safavi Naeini, Mahboobeh Karimi-Galougahi, Nasim Raad, Jahangir Ghorbani, Ayeh Taraghi, Sara Haseli, Golfam Mehrparvar, Mehrdad Bakhshayeshkaram
Source: American Journal of Otolaryngology - Category: Endocrinology Source Type: research

Related Links:

Source: BMJ Comments - Category: General Medicine Source Type: forums
No abstract available
Source: European Journal of Gastroenterology and Hepatology - Category: Gastroenterology Tags: Letters to the Editor Source Type: research
Conclusion Our preliminary data suggest that the model adopted met the immediate needs with a good outcome without increased mortality, nor COVID-19 exposure for the patients who underwent procedures.
Source: Journal of Cardiovascular Medicine - Category: Cardiology Tags: Research articles: Congenital heart disease Source Type: research
We read with great interest the letter by Rotzinger et al. [1], discussing the role of chest computed tomography (CT) in the management of COVID-19 pneumonia.
Source: Thrombosis Research - Category: Hematology Authors: Tags: Letter to the Editors-in-Chief Source Type: research
Publication date: September 2020Source: European Journal of Radiology, Volume 130Author(s): Andrea Leonardi, Roberto Scipione, Giulia Alfieri, Roberta Petrillo, Miriam Dolciami, Fabio Ciccarelli, Stefano Perotti, Gaia Cartocci, Annarita Scala, Carmela Imperiale, Franco Iafrate, Marco Francone, Carlo Catalano, Paolo Ricci
Source: European Journal of Radiology - Category: Radiology Source Type: research
Halo, Reversed Halo, or Both? Atypical Computed Tomography Manifestations of Coronavirus Disease (COVID-19) Pneumonia: The "Double Halo Sign". Korean J Radiol. 2020 Jul 17;: Authors: Poerio A, Sartoni M, Lazzari G, Valli M, Morsiani M, Zompatori M Abstract The epidemic of 2019 novel coronavirus, later named as coronavirus disease (COVID-19), began in Wuhan, China in December 2019 and has spread rapidly worldwide. Early diagnosis is crucial for the management of the patients with COVID-19, but the gold standard diagnostic test for this infection, the reverse transcriptase polymerase chain reac...
Source: Korean Journal of Radiology - Category: Radiology Tags: Korean J Radiol Source Type: research
Conclusions: Early use of moderate-dose corticosteroids over a short period may enhance recovery from COVID-19 in critically ill patients.
Source: Medicine - Category: Internal Medicine Tags: Research Article: Clinical Case Report Source Type: research
We propose a conceptually simple framework for fast COVID-19 screening in 3D chest CT images. The framework can efficiently predict whether or not a CT scan contains pneumonia while simultaneously identifying pneumonia types between COVID-19 and Interstitial Lung Disease (ILD) caused by other viruses. In the proposed method, two 3D-ResNets are coupled together into a single model for the two above-mentioned tasks via a novel prior-attention strategy. We extend residual learning with the proposed prior-attention mechanism and design a new so-called prior-attention residual learning (PARL) block. The model can be easily buil...
Source: IEE Transactions on Medical Imaging - Category: Biomedical Engineering Source Type: research
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 2020. Detecting COVID-19 at early stage is essential to deliver proper healthcare to the patients and also to protect the uninfected population. To this end, we develop a dual-sampling attention network to automatically diagnose COVID-19 from the community acquired pneumonia (CAP) in chest computed tomography (CT). In particular, we propose a novel online attention module with a 3D convolutional network (CNN) to focus on the infection regions in lu...
Source: IEE Transactions on Medical Imaging - Category: Biomedical Engineering Source Type: research
In this study, we propose to conduct the diagnosis of COVID-19 with a series of features extracted from CT images. To fully explore multiple features describing CT images from different views, a unified latent representation is learned which can completely encode information from different aspects of features and is endowed with promising class structure for separability. Specifically, the completeness is guaranteed with a group of backward neural networks (each for one type of features), while by using class labels the representation is enforced to be compact within COVID-19/community-acquired pneumonia (CAP) and also a l...
Source: IEE Transactions on Medical Imaging - Category: Biomedical Engineering Source Type: research
More News: COVID-19 | CT Scan | Endocrinology