Document Detail


MR imaging and US of female urethral and periurethral disease.
MedLine Citation:
PMID:  21057124     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
The spectrum of female urethral and periurethral disorders includes both benign and malignant entities. Establishing an accurate clinical diagnosis may be challenging because symptoms and physical findings frequently overlap among the various entities. Recent technologic advances in magnetic resonance (MR) imaging and ultrasonography (US) allow more detailed evaluation of urethral and periurethral abnormalities. Advances in MR imaging hardware and pulse sequences allow high-resolution, high-contrast static and dynamic imaging of the female urethral and periurethral region in the context of the entire pelvic floor. Similarly, the introduction of high-resolution surface and intracavitary transducers in conjunction with three-dimensional acquisition have enhanced the role of US in this clinical setting. High-resolution MR imaging and real-time US have exciting potential as tools for more comprehensive analysis of the pathophysiologic features of the complex disorders that affect the female urethra and periurethral tissues.
Authors:
Vinika V Chaudhari; Maitraya K Patel; Michael Douek; Steven S Raman
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Radiographics : a review publication of the Radiological Society of North America, Inc     Volume:  30     ISSN:  1527-1323     ISO Abbreviation:  Radiographics     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-11-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8302501     Medline TA:  Radiographics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1857-74     Citation Subset:  IM    
Copyright Information:
© RSNA, 2010.
Affiliation:
Department of Radiology, David Geffen School of Medicine at UCLA, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA 90095, USA. vchaudhari@mednet.ucla.edu
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