• DocumentCode
    2131176
  • Title

    Breathprinting of liver diseases

  • Author

    Pennazza, G. ; Santonico, M. ; Vernile, C. ; Antonelli Incalzi, R. ; De Vincentis, A. ; Picardi, A.

  • Author_Institution
    Center for Integrated Res., Campus Bio-Medico Univ., Rome, Italy
  • fYear
    2015
  • fDate
    3-5 Feb. 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Breath analysis is a non-invasive diagnostic procedure that allows the identification of different diseases from volatile organic compounds (VOCs). These are detected by the electronic nose (e-nose), through an array of gas sensors, whose output consists of a breath fingerprint (breathprint (BP)). The present study aims at determining whether this type of analysis is able to discriminate liver cirrhosis (LC), chronic hepatitis (CH) and to identify the LC stage. This study also aims at analyzing the discriminative and classificatory properties of the e-nose in patients with chronic liver disease (CLD) and at discriminating the different classes of Child-Pugh (CPC) among LC patients. The BIONOTE is the e-nose used is this study, and the exhaled breath collection is performed via Pneumopipe. The results obtained show that this system could be a non-invasive tool for early diagnosis valid for the characterization of liver disease and for the monitoring of liver function through a qualitative analysis of breathprint. Refining stage-specific BP and considering the impact of comorbidities, such as renal failure, in a larger population, might further improve the measure chain classificatory effectiveness.
  • Keywords
    biochemistry; biomedical equipment; diseases; electronic noses; liver; organic compounds; patient diagnosis; patient monitoring; pneumodynamics; sensor arrays; BIONOTE e-nose; CH; CLD; CPC; Child-Pugh class discrimination; LC stage identification; VOC detection; breath analysis; breath fingerprint; breathprinting; chronic hepatitis; chronic liver disease; classificatory effectiveness; comorbidity; disease identification; e-nose classificatory properties; e-nose discriminative properties; early diagnosis; electronic nose; exhaled breath collection; gas sensor array; liver cirrhosis; liver disease characterization; liver function monitoring; noninvasive diagnostic procedure; noninvasive tool; pneumopipe; qualitative breathprint analysis; renal failure; stage-specific BP refinement; volatile organic compound; Arrays; Diseases; Electronic noses; Liver diseases; Radar; Volatile organic compounds; Breathprint; Cirrhosis; Exhaled Breath Analysis; Gas Sensor Array; Volatile Organic Compounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AISEM Annual Conference, 2015 XVIII
  • Conference_Location
    Trento
  • Type

    conf

  • DOI
    10.1109/AISEM.2015.7066849
  • Filename
    7066849