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T5.2.1 - Early-stage Detection of Ovarian Cancer through E-nose Odor Profile Determination

Event
EUROSENSORS XXXVII
2025-09-07 - 2025-09-10
Wroclaw
Band
Lectures
Chapter
T5.2 - Sensors for Medicine and Life-Sciences 1
Author(s)
J. Eriksson, I. Shtepliuk, L. Meng, D. Puglisi, C. Borgfeldt - Linköping University, Linköping (Sweden)
Pages
130 - 131
DOI
10.5162/EUROSENSORS2025/T5.2.1
ISBN
978-3-910600-07-2
Price
free

Abstract

Endogenous volatile organic compounds (VOCs) are products of metabolic activity. Metabolite concen-trations are affected by tumor necrosis, resulting in cancer-specific VOC patterns. Here we introduce an e-nose for use in cancer diagnostics based on odor detection from 1 ml of blood plasma. Based onmeasurements of 169 samples from cancer patients (124 ovarian cancer patients and 45 endometrialcancer patients in stages I – IV) along with 161 negative controls, our machine-learning model candistinguish between cancer and healthy samples with a sensitivity of 96.9%, and a specificity of 97.1%.

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