Diagnostic markers for the detection of ovarian cancer in BRCA1 mutation carriers.

Daphne Gschwantler-KaulichSigrid WeingartshoferChristine Rappaport-FürhauserRobert ZeillingerDietmar PilsDaniela MuhrElena I BraicuMarie-Therese KastnerYen Y TanLorenz SemmlerJalid SehouliChristian F Singer

Published in: PloS one (2017)

We have developed an algorithm, which can differentiate between healthy women and OC patients and have for the first time shown, that such an algorithm can also be used in BRCA mutation carriers. To clarify a suggested benefit to the existing early detection program, large prospective trials with mainly early stage OC cases are warranted.

Keyphrases

early stage
end stage renal disease
machine learning
ejection fraction
chronic kidney disease
deep learning
newly diagnosed
breast cancer risk
prognostic factors
polycystic ovary syndrome
type diabetes
metabolic syndrome
pregnant women
pregnancy outcomes
skeletal muscle
lymph node
insulin resistance
label free