Exhaled breath analysis by use of eNose technology: a novel diagnostic tool for interstitial lung disease

Catharina C Moor, Judith C Oppenheimer, Gizal Nakshbandi, Joachim G J V Aerts, Paul Brinkman, Anke-Hilse Maitland-van der Zee, Marlies S Wijsenbeek
European Respiratory Journal 2020 July 30

BACKGROUND: Early and accurate diagnosis of interstitial lung diseases (ILDs) remains a major challenge. Better non-invasive diagnostic tools are highly needed. We aimed to assess the accuracy of exhaled breath analysis using eNose technology to discriminate between ILD patients and healthy controls, and to distinguish ILD subgroups.

METHODS: In this cross-sectional study, exhaled breath of consecutive ILD patients and healthy controls (HCs) was analysed using eNose technology (SpiroNose). Statistical analyses were done using Partial Least Square Discriminant Analysis (PLS-DA) and Receiver Operating Characteristic (ROC) analysis. An independent training and validation set (2:1) was used in larger subgroups.

RESULTS: A total of 322 ILD patients and 48 HCs were included; sarcoidosis (n=141), idiopathic pulmonary fibrosis (n=85), ILD associated with connective tissue disease (n=33), chronic hypersensitivity pneumonitis (n=25), idiopathic NSIP (n=10), interstitial pneumonia with autoimmune features (n=11), and other ILDs (n=17). eNose sensors discriminated between ILD and HCs, with an AUC of 1.0 in the training and validation set. Comparison of patients with IPF and patients with other ILDs yielded an AUC of 0.91 (95% CI 0.85-0.96) in the training set, and an AUC of 0.87 (95% CI 0.77-0.96) in the validation set. The eNose reliably distinguished between individual diseases, with AUCs ranging from 0.85 to 0.99.

CONCLUSION: eNose technology can completely distinguish ILD patients from healthy controls, and can accurately discriminate between different ILD subgroups. Hence, exhaled breath analysis using eNose technology could be a novel new biomarker in ILD, enabling timely diagnosis in the future.

Full Text Links

We have located links that may give you full text access.


You are not logged in. Sign Up or Log In to join the discussion.

Related Papers

Remove bar
Read by QxMD icon Read

Save your favorite articles in one place with a free QxMD account.


Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"