Improving lung cancer screening results
At the ERS Conference in Madrid (September 28 – October 2, 2019), Sharina Kort (MST, Enschede, the Netherlands) presented clinical study results on diagnosing lung cancer using the Aeonose:
- Improving lung cancer diagnosis from exhaled-breath analysis by adding clinical parameters to the artificial neural network (oral presentation)
- Combining exhaled-breath analysis data with clinical parameters to improve the diagnosis of lung cancer (poster presentation)
Combining the electronic nose data and easily-available clinical parameters, she obtained a sensitivity of 96% and a negative predictive value of 93%. Nice results!