Rui Li
Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males
Li, Rui; Gammie, Andrew; Zhu, Quanmin; Nibouche, Mokhtar
Authors
Andrew Gammie
Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems
Mokhtar Nibouche Mokhtar.Nibouche@uwe.ac.uk
Senior Lecturer
Abstract
Detrusor underactivity (DU) and bladder outlet obstruction (BOO) bother almost half of elder men. Although the treatment is different for these two lower urinary tract symptoms, invasive pressure flow studies remains the only gold standard for diagnosing both. To non-invasively differentiate DU from BOO, a few studies have mathematically analysed urine flow rate curve and proposed promising parameters [1,2], but each proposed parameter is not strong enough for diagnostic usage. Therefore, in this study we aim to use multivariate analysis of variance on parameters derived from free flow data to assess the possibility of non-invasive differentiating DU from BOO in males.
Presentation Conference Type | Presentation / Talk |
---|---|
Conference Name | International Continence Society annual meeting 2018 |
Acceptance Date | May 26, 2018 |
Deposit Date | Jun 12, 2018 |
Peer Reviewed | Peer Reviewed |
Public URL | https://uwe-repository.worktribe.com/output/867765 |
Additional Information | Title of Conference or Conference Proceedings : International Continence Society annual meeting 2018 |
Contract Date | Jun 12, 2018 |
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