Background
The diagnosis of cholangiocarcinoma (CCA) in patients with primary sclerosing cholangitis (PSC) is particularly difficult. The role of volatile organic compounds (VOCs) for diagnosis of CCA in PSC patients is not known.
Aim
Our aim was to identify potential VOCs in the headspaces (gas above the sample) in bile which may predict CCA in PSC patients.
Design
Prospective cross-sectional study
Setting
Referral center
Patients
Prospective study in which bile was aspirated in 32 patients undergoing ERCP for PSC and CCA complicating PSC.
Main Outcome Measurements
Selected ion flow tube mass spectrometry was used to analyze the concentration of 22 prevalent VOCs in bile samples. Logistic regression analysis was performed to build a predictive model for diagnosis of CCA.
Results
Several compounds (ethanol, acrylonitrile, acetonitrile, acetaldehyde, benzene, carbon disulfide, dimethyl sulfide, 2-propanalol) were significantly different in patients with CCA complicating PSC compared with PSC. (P<.05) Using receiver operating characteristic curve analysis, we developed a model for the diagnosis of CCA adjusted for age and gender based on VOC levels of acrylonitrile, 3-methylhexane and benzene. The model [2.3239* log (acrylonitrile) + 0.9871*log (3-methylhexane) + 0.8448*log (benzene)] < −0.12 identified the patients with CCA [area under the curve (AUC=0.89)], with 90.5% sensitivity and 72.7% specificity. (p=0.02)
Limitations
Sample size
Conclusions
The measurement of VOCs in biliary fluid may be useful to diagnose CCA in PSC patients. A larger study with a longitudinal study design is required to confirm our pilot observations to diagnose CCA early in patients with PSC. (NCT01565460)