e-learning
resources
Virtual 2020
Pre-Congress Content
Imaging-based phenotyping in pulmonary disease
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Late Breaking Abstract - Chest radiography-a predictor of prognosis in COVID-19
B. Manoharan (Basildon, United Kingdom), M. Shafiq (Basildon, United Kingdom), U. Dawar (Basildon, United Kingdom), A. Elsheikh (Basildon, United Kingdom), M. Pittman (Basildon, United Kingdom)
Source:
Virtual Congress 2020 – Imaging-based phenotyping in pulmonary disease
Session:
Imaging-based phenotyping in pulmonary disease
Session type:
E-poster session
Number:
2079
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
B. Manoharan (Basildon, United Kingdom), M. Shafiq (Basildon, United Kingdom), U. Dawar (Basildon, United Kingdom), A. Elsheikh (Basildon, United Kingdom), M. Pittman (Basildon, United Kingdom). Late Breaking Abstract - Chest radiography-a predictor of prognosis in COVID-19. 2079
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
N3 hilar sampling decision in the staging of mediastinal lung cancer
Risk factors associated with the development of interstitial lung abnormalities
LUNG TRANSTHORACIC ULTRASOUND (TUS) ELASTOGRAPHY: USEFULNESS IN THE STUDY OF PLEURO-PULMONARY IMAGES SUSPECTED OF MALIGNANCY
Related content which might interest you:
Late Breaking Abstract - Lung ultrasound for severity assessment and outcome prediction of COVID-19 patients.
Source: Virtual Congress 2020 – Transthoracic and endobronchial ultrasound
Year: 2020
Late Breaking Abstract - Treatment with ATYR1923 reduces biomarkers in COVID-19 pneumonia
Source: Virtual Congress 2021 – Diagnosis and management of COVID-19
Year: 2021
Late Breaking Abstract - Frequency and characteristics of TB relapses
Source: International Congress 2017 – Late-breaking studies in pulmonary diseases
Year: 2017
Late Breaking Abstract - Infrared thermography on patients with Pulmonary Hypertension. Prognostic value.
Source: International Congress 2018 – Molecular mechanisms and treatment of pulmonary hypertension
Year: 2018
Late Breaking Abstract - The prognostic value of computed tomography findings in COVID-19 older patients
Source: Virtual Congress 2021 – Respiratory infections
Year: 2021
Late Breaking Abstract - Identifying and phenotyping COVID-19 patients using machine learning on chest x-rays
Source: Virtual Congress 2020 – Covering COVID - the best abstracts
Year: 2020
Late Breaking Abstract - Outpatient pulmonary rehabilitation in patients with long COVID
Source: Virtual Congress 2021 – New approaches to pulmonary rehabilitation and chronic care
Year: 2021
Late Breaking Abstract - WEAning From NonInvasive Ventilation – ‘WEANIV’ Study
Source: Virtual Congress 2020 – ALERT: Ventilation and rehabilitation
Year: 2020
Late Breaking Abstract - Pulmonary embolism in patients admitted by COVID-19. Incidence and features.
Source: Virtual Congress 2020 – Right ventricular function and pulmonary hypertension
Year: 2020
Late Breaking Abstract - Atypical clinical and radiological presentation of SARS-CoV-2 infection in the elderly.
Source: Virtual Congress 2020 – COVID-19 clinical studies
Year: 2020
Late Breaking Abstract - Relationship between clinical features and mortality in a cohort of COPD patients.
Source: Virtual Congress 2021 – Prediction of exacerbations in patients with COPD
Year: 2021
Late Breaking Abstract - Exercise rehabilitation in telemedicine for COVID-19 patients.
Source: Virtual Congress 2020 – Optimising the benefits of pulmonary rehabilitation
Year: 2020
Late Breaking Abstract - Detection of clinical instability by eNose in COPD patients
Source: International Congress 2018 – How far are we in terms of predicting mortality and exacerbations in COPD?
Year: 2018
Late Breaking Abstract - Assessment of disease progression in IPF patients using Functional Respiratory Imaging (FRI)
Source: International Congress 2017 – Idiopathic pulmonary fibrosis (IPF): clinical problems
Year: 2017
Late Breaking Abstract - Incidence of Insomnia and its correlations with parameters of polysomnography
Source: Virtual Congress 2020 – Phenotyping sleep-disordered breathing and its impact on various diseases
Year: 2020
Late Breaking Abstract - Use of AI in accurate diagnosis of TB using Medical Imaging: a promising result from UAE
Source: International Congress 2018 – Novel and established imaging studies and findings
Year: 2018
Late Breaking Abstract - Acute multi-organ symptoms predict long COVID
Source: Virtual Congress 2021 – Diagnosis and management of COVID-19
Year: 2021
Late Breaking Abstract - The DIAMORFOSIS (DIAgnosis and Management Of lung canceR and FibrOSIS) survey.
Source: International Congress 2019 – Idiopathic pulmonary fibrosis and surroundings
Year: 2019
Late Breaking Abstract - Arterial Stiffness and Cardiovascular Risk in hospitalised COPD patients
Source: International Congress 2019 – Imaging of airway diseases
Year: 2019
Late Breaking Abstract - Lung involvement is clue for recognizing severe dengue-A retrospective study
Source: Virtual Congress 2020 – Novel findings in intensive care unit medicine: part 2
Year: 2020
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept