Abstract |
We evaluated a breath test for volatile organic compounds (VOCs) as a predictor of breast cancer. Breath VOCs were assayed in 51 asymptomatic women with abnormal mammograms and biopsy-proven breast cancer, and 42 age-matched healthy women. A fuzzy logic model predicted breast cancer with accuracy superior to previously reported findings. Following random assignment to a training set (64) or a prediction set (29), a model was constructed in the training set employing five breath VOCs that predicted breast cancer in the prediction set with 93.8% sensitivity and 84.6% specificity. The same model predicted no breast cancer in 16/50 (32.0%) women with abnormal mammograms and no cancer on biopsy. A two-minute breath test could potentially provide a safe, accurate and painless screening test for breast cancer, but prospective validation studies are required.
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Authors | Michael Phillips, Renee N Cataneo, Beth Ann Ditkoff, Peter Fisher, Joel Greenberg, Ratnasiri Gunawardena, C Stephan Kwon, Olaf Tietje, Cynthia Wong |
Journal | Breast cancer research and treatment
(Breast Cancer Res Treat)
Vol. 99
Issue 1
Pg. 19-21
(Sep 2006)
ISSN: 0167-6806 [Print] Netherlands |
PMID | 16502014
(Publication Type: Journal Article, Research Support, N.I.H., Extramural)
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Chemical References |
- Biomarkers, Tumor
- Organic Chemicals
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Topics |
- Age Factors
- Aged
- Biomarkers, Tumor
(metabolism)
- Biopsy
- Breast Neoplasms
(diagnosis, metabolism)
- Breath Tests
- Case-Control Studies
- Female
- Fuzzy Logic
- Humans
- Middle Aged
- Models, Statistical
- Organic Chemicals
- Prospective Studies
- Sensitivity and Specificity
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