Drift compensation on electronic nose data for non-invasive diagnosis of prostate cancer by urine analysis.
iScience
; 25(1): 103622, 2022 Jan 21.
Article
en En
| MEDLINE
| ID: mdl-35024578
Diagnostic protocol for prostate cancer (KP) is affected by poor accuracy and high false-positive rate. The most promising innovative approach is based on urine analysis by electronic noses (ENs), highlighting a specific correlation between urine alteration and KP presence. Although EN could be exploited to develop non-invasive KP diagnostic tools, no study has already introduced EN into clinical practice, most probably because of drift issues that hinder EN scaling up from research objects to large-scale diagnostic devices. This study, proposing an EN for non-invasive KP detection, describes the data processing protocol applied to a urine headspace dataset acquired over 9 months, comprising 81 patients with KP and 41 controls, for compensating the drift. It proved effective in mitigating drift on 1-year-old sensors by restoring accuracy from 55% up to 80%, achieved by new sensors not subjected to drift. The model achieved, on double-blind validation, a balanced accuracy of 76.2% (CI95% 51.9-92.3).
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
/
Guideline
Idioma:
En
Revista:
IScience
Año:
2022
Tipo del documento:
Article
País de afiliación:
Italia
Pais de publicación:
Estados Unidos