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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. (2018). Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Neurourology and Urodynamics, 37(S5), S327-S328. https://doi.org/10.1002/nau.23760

Journal Article Type Article
Acceptance Date May 23, 2018
Publication Date Jul 5, 2018
Deposit Date Sep 17, 2018
Publicly Available Date Jul 5, 2019
Journal Neurology and Urodynamics
Print ISSN 0733-2467
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 37
Issue S5
Pages S327-S328
DOI https://doi.org/10.1002/nau.23760
Keywords multivariate analysis, non-invasive diagnosis
Public URL https://uwe-repository.worktribe.com/output/864834
Publisher URL https://doi.org/10.1002/nau.23760
Additional Information Additional Information : This is the peer reviewed version of the following article: [Li, R., Gammie, A., Zhu, Q. and Nibouche, M. (2018) Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Neurology and Urodynamics, 37 (S5). S327-S328. ISSN 1520-6777], which has been published in final form at Li, R., Gammie, A., Zhu, Q. and Nibouche, M. (2018) Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Neurology and Urodynamics, 37 (S5). S327-S328. ISSN 1520-6777. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

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