The frequency of the errors in the interpretation of digital radiographs of the chest by radiologists when detecting nodule and mass in the lungs.

U. Smolnikova (Saint Petersburg, Russian Federation), A. Ushkov (Saint Petersburg, Russian Federation), P. Gavrilov (Saint Petersburg, Russian Federation)

Source: Virtual Congress 2020 – New imaging techniques applied to old problems
Session: New imaging techniques applied to old problems
Session type: E-poster session
Number: 862
Disease area: -

Congress or journal article abstractE-poster

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
U. Smolnikova (Saint Petersburg, Russian Federation), A. Ushkov (Saint Petersburg, Russian Federation), P. Gavrilov (Saint Petersburg, Russian Federation). The frequency of the errors in the interpretation of digital radiographs of the chest by radiologists when detecting nodule and mass in the lungs.. 862

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:
Reliability in estimation of pneumothorax size based on digital chest x-ray uptakes
Source: Eur Respir J 2006; 28: Suppl. 50, 49s
Year: 2006

Interobserver variability in visual evaluation of thoracic CT scans and comparison with automatic computer measurements of CT lung density
Source: Annual Congress 2012 - Functional imaging in pulmonary oncology and COPD. Radiation dose in chest CT: survey and real life
Year: 2012


Usefulness of chest x-ray (CXR) in acute medical take and correlation of interpretation by clinicians and radiologists
Source: Annual Congress 2010 - Vascular and solitary lesions
Year: 2010

Comparative analysis of the detecting nodule or mass in the lungs on the chest X-ray by the doctor and the automatic digital X-ray analysis program>
Source: Virtual Congress 2021 – Pulmonary neoplasia and related pathologies
Year: 2021


Plain chest radiography: the digital revolution
Source: ISSN=ISSN 1025-448x, ISBN=ISBN 1-904097-34-0, page=23
Year: 2004

Difference in accuracy of interstitial lung disease HRCT interpretation between radiologists with and without a specialist interest in thoracic radiology
Source: Annual Congress 2008 - Miscellaneous aspects of interstitial lung disease
Year: 2008


Value of chest X-ray interpreted by radiologist in predicting lung cancer in patients referred to rapid access chest clinic
Source: Eur Respir J 2005; 26: Suppl. 49, 495s
Year: 2005

Audit of the accuracy of interpretation of CT scans by respiratory physicians prior to bronchoscopy
Source: Eur Respir J 2005; 26: Suppl. 49, 533s
Year: 2005

Correlations of chest radiographs, pulmonary function tests and high resolution computed tomography findings with small airway disease in asymptomatic smokers
Source: Eur Respir J 2004; 24: Suppl. 48, 494s
Year: 2004

Chest radiography: performance, indications and interpretation
Source: Eur Respir Monogr 2015; 70: 34-46
Year: 2015


Role of chest radiography and CT scan in the diagnosis and severity evaluation of pneumonia
Source: Annual Congress 2003 - PG11 - Pneumonia epidemiology and diagnosis
Year: 2003

Imaging techniques in treatment algorithms of pulmonary embolism
Source: Eur Respir J 2002; 19: 28S-39S
Year: 2002



Repeatability of real world, non-research chest CT scan-based lung density metrics
Source: International Congress 2017 – Imaging markers for COPD and asthma
Year: 2017

Radiology in pleural disease: what is the role of chest radiographs, CT and PET in modern management?
Source: Eur Respir Monogr 2020; 87: 48-72
Year: 2020


Could chest ultrasound replace chest X-ray for the diagnosis of pneumothorax after pulmonary cryobiopsy?
Source: International Congress 2019 – Interventional pulmonology techniques: targeting selective lung tissue
Year: 2019

The comparison of the several machine learning systems and the analysis of digital X-ray images with a syndrome nodule and mass in the lungs
Source: Virtual Congress 2020 – New imaging techniques applied to old problems
Year: 2020


Accuracy of chest high-resolution computed tomography in diagnosing diffuse cystic lung diseases
Source: Eur Respir J 2015; 46: 1196-1199
Year: 2015


Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
Source: Eur Respir J, 57 (5) 2003061; 10.1183/13993003.03061-2020
Year: 2021



The comparison of CT and PET findings with diagnostic accuracy of TTNB in thoracic lesions
Source: Annual Congress 2010 - Staging of lung cancer
Year: 2010


Fully automatic detection and quantification of emphysema on computed tomography of the chest by a new software – comparison with lung functional criteria
Source: Annual Congress 2008 - Imaging and measurement techniques in the evaluation of pulmonary embolism, COPD and pleural diseases
Year: 2008