e-learning
resources
2020
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
Improving lung cancer diagnosis by combining exhaled-breath data and clinical parameters
Sharina Kort, Marjolein Brusse-Keizer, Jan Willem Gerritsen, Hugo Schouwink, Emanuel Citgez, Frans de Jongh, Jan van der Maten, Suzy Samii, Marco van den Bogart, Job van der Palen
Source:
ERJ Open Res, 6 (1) 00221-2019; 10.1183/23120541.00221-2019
Journal Issue:
January
Disease area:
-
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
Sharina Kort, Marjolein Brusse-Keizer, Jan Willem Gerritsen, Hugo Schouwink, Emanuel Citgez, Frans de Jongh, Jan van der Maten, Suzy Samii, Marco van den Bogart, Job van der Palen. Improving lung cancer diagnosis by combining exhaled-breath data and clinical parameters. ERJ Open Res, 6 (1) 00221-2019; 10.1183/23120541.00221-2019
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:
Panel discussion: ICU admission of lung cancer patients – Is COVID-19 a game-changer?
Surgical vs non-surgical treatment of early stage non-small cell lung cancer: here's the fight
N3 hilar sampling decision in the staging of mediastinal lung cancer
Related content which might interest you:
Combining exhaled-breath analysis data with clinical parameters to improve the diagnosis of lung cancer
Source: International Congress 2019 – Early detection, follow-up and epidemiology of lung cancer
Year: 2019
Improving lung cancer diagnosis from exhaled-breath analysis by adding clinical parameters to the artificial neural network
Source: International Congress 2019 – Diagnostic procedures and biology of lung cancer
Year: 2019
A practical measurement of thoracic sarcopenia: correlation with clinical parameters and outcomes in advanced lung cancer
Source: ERJ Open Res 2016: 00085-2015
Year: 2016
A basic prediction model with clinical parameters to diagnose lung cancer.
Source: Virtual Congress 2021 – Screening, diagnosis, management and prognosis of lung cancer
Year: 2021
Non-invasive biomarkers for the evaluation of a patient at risk for lung cancer
Source: Annual Congress 2013 –Early detection of lung cancer
Year: 2013
Management of lung cancer screening and incidental findings as well as their integration in existing lung cancer care
Source: International Congress 2019 – PG1 Lung cancer: the key multidisciplinary approach
Year: 2019
Scintigraphic parameters in differential diagnostics of community acquired pneumonia and lung cancer
Source: Annual Congress 2009 - Management of thoracic malignancies
Year: 2009
Cost-effectiveness of biomarker testing for treatment choices in advanced non-small cell lung carcinoma: impact of diagnostic strategies and their turnaround times
Source: Eur Respir J, 51 (6) 1800602; 10.1183/13993003.00602-2018
Year: 2018
Cost-effectiveness of biomarker testing for treatment choices in advanced non-small cell lung carcinoma: impact of diagnostic strategies and their turnaround times
Source: Eur Respir J, 51 (6) 1800844; 10.1183/13993003.00844-2018
Year: 2018
Feasibility study of cryobiopsy for practical pathological diagnosis including immunohistochemical assessment of primary lung cancer
Source: International Congress 2018 – Lung cancer: new tools for diagnosis and patient assessment
Year: 2018
Comparision of two preoperative risk assessment algorithms in lung cancer surgery.
Source: International Congress 2017 – Evaluating lung function, dyspnoea and related respiratory diseases
Year: 2017
Evaluation of breath sampling procedures in lung cancer patients
Source: Annual Congress 2008 - Diagnosis and prognosis in thoracic oncology
Year: 2008
Defining a standard set of patient-centred outcomes for lung cancer
Source: Eur Respir J 2016; 48: 852-860
Year: 2016
Lung function testing for the preoperative evaluation of patients with lung cancer
Source: Annual Congress 2003 - Lung function testing for preoperative evaluation in lung cancer patients
Year: 2003
Interpreting lung function in clinical practice
Source: Annual Congress 2006 - PG5 - Respiratory physiology: interpreting lung function in health and disease
Year: 2006
Possibility of noninvasive differential diagnostics of lung tuberculosis and lung cancer in oncologic hospital
Source: Eur Respir J 2003; 22: Suppl. 45, 160s
Year: 2003
Comparison of different staging methods for COPD in predicting outcomes
Source: Eur Respir J, 51 (3) 1700577; 10.1183/13993003.00577-2017
Year: 2018
Interstitial lung disease associated by gemcitabine chemotherapy in non-small lung cancer patients: Analysis based on the data in practical use with confirmed denominator
Source: Annual Congress 2011 - Clinical perspectives in several interstitial diseases
Year: 2011
Clinical management implications of histologic information provided by lung biopsy in the multidisciplinary evaluation of interstitial lung diseases.
Source: Virtual Congress 2020 – The hot and cold of interventional pulmonology
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