| Title: | BIONOTE e-nose technology may reduce false positives in lung cancer screening programmesdagger |
| Author(s): | Rocco R; Incalzi RA; Pennazza G; Santonico M; Pedone C; Bartoli IR; Vernile C; Mangiameli G; La Rocca A; De Luca G; Rocco G; Crucitti P; |
| Address: | "Section of Thoracic Surgery, Universita Campus Bio-Medico, Rome, Italy. Division of Geriatry, Universita Campus Bio-Medico, Rome, Italy. Center for Integrated Research, Unit of Electronics for Sensor Systems, Universita Campus Bio-Medico, Rome, Italy. Section of Thoracic Surgery, Universita Campus Bio-Medico, Rome, Italy g.mangiameli@unicampus.it. Division of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Istituto Nazionale Tumori, Fondazione Pascale, IRCCS, Naples, Italy" |
| ISSN/ISBN: | 1873-734X (Electronic) 1010-7940 (Linking) |
| Abstract: | "OBJECTIVES: Breath composition may be suggestive of different conditions. E-nose technology has been used to profile volatile organic compounds (VOCs) pattern in the breath of patients compared with that of healthy individuals. BIOsensor-based multisensorial system for mimicking NOse, Tongue and Eyes (BIONOTE) technology differs from Cyranose(R) based on a set of separate transduction features. On the basis of our previously published experience, we investigated the discriminating ability of BIONOTE in a high-risk population enrolled in a lung cancer screening programme. METHODS: One hundred individuals were selected for BIONOTE based on the attribution to the high-risk category (i.e. age, smoking status, chronic obstructive pulmonary disease status) of the University Campus Bio-Medico lung screening programme. We used a measure chain consisting of (i) a device named Pneumopipe (EU patent: EP2641537 (A1):2013-09-25) able to catch exhaled breath by an individual normally breathing into it and collect the exhalate onto an adsorbing cartridge; (ii) an apparatus for thermal desorption of the cartridge into the sensors chamber and (iii) a gas sensor array which is part of a sensorial platform named BIONOTE for the VOCs mixture analysis. Partial least square (PLS) has been used to build up the model, with Leave-One-Out cross-validation criterion. Each breath fingerprint analysis costs euro10. RESULTS: The overall sensitivity and specificity were 86 and 95%, respectively, delineating a substantial difference between patients and healthy individuals. CONCLUSIONS: Our preliminary data show that BIONOTE technology may be used to reduce false-positive rates resulting from lung cancer screening with low-dose computed tomography in a cost-effective fashion. The model will be tested on a larger number of patients to confirm the reliability of these results" |
| Keywords: | Early Detection of Cancer/*methods *Electronic Nose Female Humans Lung Neoplasms/*diagnosis Male Middle Aged ROC Curve Sensitivity and Specificity E-nose Lung cancer Screening; |
| Notes: | "MedlineRocco, Raffaele Incalzi, Raffaele Antonelli Pennazza, Giorgio Santonico, Marco Pedone, Claudio Bartoli, Isaura Rossi Vernile, Chiara Mangiameli, Giuseppe La Rocca, Antonello De Luca, Giuseppe Rocco, Gaetano Crucitti, Pierfilippo eng Germany 2015/09/20 Eur J Cardiothorac Surg. 2016 Apr; 49(4):1112-7; discussion 1117. doi: 10.1093/ejcts/ezv328. Epub 2015 Sep 18" |
