Literature DB >> 8659029

Videourodynamic studies.

E J McGuire1, R D Cespedes, C A Cross, H E O'Connell.   

Abstract

Videourodynamic evaluation that incorporates radiographic imaging with simultaneous measurement of bladder and urethral pressure is the most precise method available for diagnosing complex incontinence and voiding disorders. In addition, videourodynamics has been instrumental to the development of our present knowledge about urethral and bladder function including the concepts of detrusor and abdominal leak point pressures. Although these studies are more expensive and time consuming, the authors have found videourodynamic evaluation indispensable when the diagnosis remains in question after simple urodynamics and when the studies and clinical scenario do not agree.

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Year:  1996        PMID: 8659029     DOI: 10.1016/s0094-0143(05)70313-x

Source DB:  PubMed          Journal:  Urol Clin North Am        ISSN: 0094-0143            Impact factor:   2.241


  6 in total

1.  Dual growth factor-loaded in situ gel-forming bulking agent: passive and bioactive effects for the treatment of urinary incontinence.

Authors:  Se Heang Oh; Jin Woo Bae; Jun Goo Kang; In Gul Kim; Joo Young Son; Ji Youl Lee; Ki Dong Park; Jin Ho Lee
Journal:  J Mater Sci Mater Med       Date:  2015-01-13       Impact factor: 3.896

2.  Videourodynamics in the diagnosis of urinary tract abnormalities in a single center.

Authors:  László Szabó; Béla Lombay; Eva Borbás; Ilona Bajusz
Journal:  Pediatr Nephrol       Date:  2003-12-20       Impact factor: 3.714

3.  Lower urinary tract dysfunction in children with central nervous system tumours.

Authors:  D Soler; M Borzyskowski
Journal:  Arch Dis Child       Date:  1998-10       Impact factor: 3.791

Review 4.  Current concepts and controversies in urodynamics.

Authors:  C E Kelly; R J Krane
Journal:  Curr Urol Rep       Date:  2000-10       Impact factor: 2.862

5.  Development of Personalized Urination Recognition Technology Using Smart Bands.

Authors:  Sung-Jong Eun; Taeg-Keun Whangbo; Dong Kyun Park; Khae-Hawn Kim
Journal:  Int Neurourol J       Date:  2017-04-21       Impact factor: 2.835

6.  Personalized Urination Activity Recognition Based on a Recurrent Neural Network Using Smart Band.

Authors:  Taeg-Keun Whangbo; Sung-Jong Eun; Eun-Young Jung; Dong Kyun Park; Su Jin Kim; Chang Hee Kim; Kyung Jin Chung; Khae-Hawn Kim
Journal:  Int Neurourol J       Date:  2018-07-31       Impact factor: 2.835

  6 in total

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