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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

Rui Li

Andrew Gammie

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Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems



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.

Citation

Li, R., Gammie, A., Zhu, Q., & Nibouche, M. Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Presented at International Continence Society annual meeting 2018

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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