Breath Analysis for Early Detection of Malignant Pleural Mesothelioma: Volatile Organic Compounds (VOCs) Determination and Possible Biochemical Pathways
Taking into account that Malignant pleural mesothelioma is a rare and aggressive neoplasm making patient recruitment difficult, this study aims to identify a distinct mesothelioma-related Volatile Organic Compounds profile through breath analysis by developing and validating a promising data mining approach able to discriminate between MPM patients and healthy controls, even if no large population data are available
Taking into account that MPM is a rare and aggressive neoplasm making patient recruitment difficult, this study aims to identify a distinct mesothelioma-related Volatile Organic Compounds profile through breath analysis by developing and validating a promising data mining approach able to discriminate between MPM patients and healthy controls, even if no large population data are available
In order to explore the potential application of the model proposed in this study for the early detection of patients affected by MPM among asbestos-exposed subjects, five breath samples collected from asbestos-exposed volunteers without symptoms were exploratively analyzed and processed as blinded samples
Taking into account that MPM is a rare and aggressive neoplasm and that the recruitment of MPM patients is very difficult due to late diagnosis, this study reported a promising data mining approach which was developed and validated in order to discriminate between MPM patients and healthy controls, even if large population data are not available
Ten VOCs were able to discriminate between MPM patients and healthy controls
Five breath samples from asymptomatic former asbestos-exposed subjects were exploratively analyzed and processed as blinded samples in order to evaluate the performance of the model for the early recognition of patients affected by MPM among asbestos-exposed subjects
A good agreement was found between the information obtained by gold-standard diagnostic methods such as computed tomography and the model output
Need more features? Save interactive summary cards to your Scholarcy Library.