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http://dx.doi.org/10.7742/jksr.2018.12.2.277

The Study of a Diagnostic Algorithm for the Quantitative Evaluation of Stress Urinary Incontinence  

Min, Hae Ki (R&D center, Samsung Medison Co., Ltd)
Kim, Ju Young (School of Biomedical Engineering, Inje University)
Noh, Si Cheol (Department of Radiological Science, International University of Korea)
Choi, Heung Ho (School of Biomedical Engineering, Inje University)
Publication Information
Journal of the Korean Society of Radiology / v.12, no.2, 2018 , pp. 277-287 More about this Journal
Abstract
Pelvic floor muscle is the main sub-system that maintains urinary continence. The weakness of pelvic floor muscles causes the stress urinary incontinence, and therefore the degree of functioning of pelvic floor muscles could be used as an index to assess the degree of stress urinary incontinence. In this study, the quantitative diagnosis algorithm was proposed to estimate the degree of stress urinary incontinence (SUI) by measuring the contraction pressure of pelvic floor muscle. For these reason, the contraction pressure measurement system from pelvic floor muscle was developed, and the measuring protocol was suggested to analysis the obtained data. As the results of clinical test, the proposed diagnosis algorithm shows the 80% of accuracy, and 20% of false positive diagnosis. On the other hand, false negative results were not confirmed. Consequentially, we thought that the proposed urinary incontinence diagnosis algorithm can quantitatively diagnose the progression of the stress urinary incontinence and it can be used for the development of the incontinence diagnosis system.
Keywords
Pelvic floor muscle; Stress urinary incontinence; Diagnostic algorithm; Diagnostic parameters;
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