To validate a breath test that predicts risk of breast cancer and an abnormal mammogram.
We will determine the accuracy of volatile organic compounds (VOCs) in the breath as predictors of risk of breast cancer and an abnormal mammogram. Breath samples will be collected using an ultra-clean collection bag and analyzed with gas chromatography surface acoustic wave detection (GC SAW) The study will be performed in two phases: Phase 1: Model-building phase (cross-sectional study): Breath VOCs will be employed to construct multivariate algorithms that distinguish between normal women and those with breast cancer and abnormal screening mammograms. Phase 2: Model-testing phase (cross-sectional study): The predictive accuracy of these algorithms will be tested to predict outcomes in normal women and those with breast cancer and abnormal screening mammograms.
Study Type
OBSERVATIONAL
Enrollment
1,000
Breath samples are collected into an ultra-clean bag and breath VOCs are analyzed with GC-SAW.
University of Erlangen
Erlangen, Germany
Zuyderland Medical Center
Heerlen, Netherlands
Frimley Health NHS Foundation Trust
Middlesex, United Kingdom
BREATH TEST TO PREDICT BREAST CANCER
Determination of the sensitivity, specificity, and positive and negative predictive values of a breath test for biomarkers that predict the risk of an abnormal mammogram.
Time frame: 2 years
BREATH TEST TO PREDICT OUTCOME OF MAMMOGRAPHY
Determination of the sensitivity, specificity, and positive and negative predictive values of a breath test for biomarkers that predict the risk of an biopsy-proven breast cancer
Time frame: 2 years
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