Literature DB >> 15035531

Multidetector CT urography: techniques, clinical applications, and pitfalls.

Syed A Akbar1, Koenraad J Mortele, Kathy Baeyens, Maka Kekelidze, Stuart G Silverman.   

Abstract

For two decades, computed tomography (CT) has challenged intravenous urography (IVU) in the evaluation of urinary tract abnormalities. Compared with IVU, CT is more sensitive and specific in the detection and characterization of a variety of urinary tract disorders, including renal masses and urolithiasis. The last purported advantage of IVU has been its ability to depict subtle and mucosal abnormalities of the urothelium. Now, using multidetector CT (MDCT), this challenge has been overcome. In this article, we review the current role of MDCT urography in the evaluation of the urinary tract.

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Year:  2004        PMID: 15035531     DOI: 10.1053/j.sult.2003.11.002

Source DB:  PubMed          Journal:  Semin Ultrasound CT MR        ISSN: 0887-2171            Impact factor:   1.875


  12 in total

1.  Multi-detector CT urography: effect of oral hydration and contrast medium volume on renal parenchymal enhancement and urinary tract opacification--a quantitative and qualitative analysis.

Authors:  Dieter H Szolar; Manfred Tillich; Klaus W Preidler
Journal:  Eur Radiol       Date:  2010-04-10       Impact factor: 5.315

Review 2.  [Multi-detector computed tomography in non-traumatic urologic emergencies].

Authors:  M K Scherr
Journal:  Radiologe       Date:  2009-06       Impact factor: 0.635

3.  Urinary bladder segmentation in CT urography (CTU) using CLASS.

Authors:  Lubomir Hadjiiski; Heang-Ping Chan; Richard H Cohan; Elaine M Caoili; Yuen Law; Kenny Cha; Chuan Zhou; Jun Wei
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

4.  Detection of urinary bladder mass in CT urography with SPAN.

Authors:  Kenny Cha; Lubomir Hadjiiski; Heang-Ping Chan; Richard H Cohan; Elaine M Caoili; Chuan Zhou
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

5.  Prospective comparison of helical CT of the abdomen and pelvis without and with oral contrast in assessing acute abdominal pain in adult Emergency Department patients.

Authors:  Steve Y Lee; Bret Coughlin; Jeannette M Wolfe; Joseph Polino; Fidela S Blank; Howard A Smithline
Journal:  Emerg Radiol       Date:  2006-04-21

6.  U-Net based deep learning bladder segmentation in CT urography.

Authors:  Xiangyuan Ma; Lubomir M Hadjiiski; Jun Wei; Heang-Ping Chan; Kenny H Cha; Richard H Cohan; Elaine M Caoili; Ravi Samala; Chuan Zhou; Yao Lu
Journal:  Med Phys       Date:  2019-02-28       Impact factor: 4.071

7.  Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Authors:  Kenny H Cha; Lubomir Hadjiiski; Ravi K Samala; Heang-Ping Chan; Elaine M Caoili; Richard H Cohan
Journal:  Med Phys       Date:  2016-04       Impact factor: 4.071

8.  Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.

Authors:  Marshall N Gordon; Lubomir M Hadjiiski; Kenny H Cha; Ravi K Samala; Heang-Ping Chan; Richard H Cohan; Elaine M Caoili
Journal:  Med Phys       Date:  2019-01-04       Impact factor: 4.071

9.  CT urography: segmentation of urinary bladder using CLASS with local contour refinement.

Authors:  Kenny Cha; Lubomir Hadjiiski; Heang-Ping Chan; Elaine M Caoili; Richard H Cohan; Chuan Zhou
Journal:  Phys Med Biol       Date:  2014-05-07       Impact factor: 3.609

10.  Auto-initialized cascaded level set (AI-CALS) segmentation of bladder lesions on multidetector row CT urography.

Authors:  Lubomir Hadjiiski; Heang-Ping Chan; Elaine M Caoili; Richard H Cohan; Jun Wei; Chuan Zhou
Journal:  Acad Radiol       Date:  2012-10-22       Impact factor: 3.173

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