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Gynecol Oncol. 2018 Dec;151(3):519-524. doi: 10.1016/j.ygyno.2018.09.016. Epub 2018 Sep 23.

FAIMS analysis of urine gaseous headspace is capable of differentiating ovarian cancer.

Author information

1
Department of Obstetrics and Gynecology, Tampere University Hospital, P.O. Box 2000, 33521 Tampere, Finland. Electronic address: riikka.niemi@fimnet.fi.
2
Faculty of Medicine and Life Sciences, University of Tampere, P.O. Box 100, 33014 Tampere, Finland.
3
Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, P.O. Box 527, 33101 Tampere, Finland.
4
Department of Obstetrics and Gynecology, Tampere University Hospital, P.O. Box 2000, 33521 Tampere, Finland; Faculty of Medicine and Life Sciences, University of Tampere, P.O. Box 100, 33014 Tampere, Finland.
5
Faculty of Medicine and Life Sciences, University of Tampere, P.O. Box 100, 33014 Tampere, Finland; Department of Vascular Surgery, Tampere University Hospital, P.O. Box 2000, 33521 Tampere, Finland.

Abstract

AIM:

We hypothesized that field asymmetric waveform ion mobility spectrometry (FAIMS) as a novel artificial olfactory technology could differentiate urine of women with malignant ovarian tumors from controls and women with benign tumors, based on previous findings on the ability of canine olfactory system to "smell" cancer.

PATIENTS AND METHODS:

Preoperative urine samples from 51 women with ovarian tumors, both benign and malignant, and from 18 women with genital prolapse, as controls, were collected. The samples were analyzed by FAIMS device. Data analysis was processed by quadratic data analysis (QDA) and linear discriminant analysis (LDA), and cross-validated using 10-fold cross-validation.

RESULTS:

Thirty-three women had malignant ovarian tumors, of which 18 were high-grade cancers. FAIMS distinguished controls from malignancies with the accuracy of 81.3% (sensitivity 91.2% and specificity 63.1%), and benign tumors from malignancies with the accuracy of 77.3% (sensitivity 91.5% and specificity 51.4%). Moreover, low grade tumors were also separated from high grade cancers and benign ovarian tumors with accuracies of 88.7% (sensitivity 87.8% and specificity 89.6%) and 83.9% (sensitivity 73.1% and specificity 92.9%), respectively.

CONCLUSIONS:

This proof of concept-study indicates that the FAIMS from urine has potential to discriminate malignant ovarian tumors from no tumor-bearing controls and benign tumors.

KEYWORDS:

FAIMS; Ovarian cancer; Ovarian neoplasm; Owlstone Lonestar; Urine; VOC

PMID:
30257785
DOI:
10.1016/j.ygyno.2018.09.016
[Indexed for MEDLINE]

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