Document Detail


16-MDCT cystoscopy in the evaluation of neoplasms of the urinary bladder.
MedLine Citation:
PMID:  18287445     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: The purpose of this study was to evaluate the utility of 16-MDCT cystoscopy in the detection of urinary bladder neoplasms in a high-risk population. SUBJECTS AND METHODS: Fifty patients who presented with hematuria and a recent diagnosis or a history of bladder carcinoma underwent CT cystoscopy. All patients were examined in the supine and prone positions after bladder distention with room air. A detector configuration of 16 x 0.75 mm and a pitch of 1.2 was used. Virtual images were obtained with volume-rendered algorithms. Transverse tomographic slices, multiplanar reformatted images, and virtual images were prospectively evaluated separately and in combination. Conventional cystoscopy was considered the standard of reference for assessing the efficacy of MDCT cystoscopy in the detection of urinary bladder tumors. RESULTS: Fifty-five (96%) of 57 urinary bladder lesions recognized at conventional cystoscopy were detected with MDCT cystoscopy. The size of the lesions ranged from 0.3 to 9.7 cm in diameter, including 18 lesions with a diameter of 0.5 cm or less. Transverse, multiplanar reformatted, and virtual images proved complementary for lesion detection. CONCLUSION: MDCT cystoscopy is an accurate technique for the detection of urinary bladder neoplasms in patients at high risk, yielding satisfactory results in the identification of lesions smaller than 0.5 cm.
Authors:
Constantine Tsampoulas; Athina C Tsili; Dimitrios Giannakis; Yiannis Alamanos; Nikolaos Sofikitis; Stavros C Efremidis
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  AJR. American journal of roentgenology     Volume:  190     ISSN:  1546-3141     ISO Abbreviation:  AJR Am J Roentgenol     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-02-21     Completed Date:  2008-04-10     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7708173     Medline TA:  AJR Am J Roentgenol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  729-35     Citation Subset:  AIM; IM    
Affiliation:
Department of Clinical Radiology, University Hospital of Ioannina, Leoforos S. Niarchou, 45500, Pl. Pargis, 2, 45332, Ioannina, Greece.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Algorithms
Carcinoma / pathology,  radiography*
Cohort Studies
Cystoscopy / methods*
Feasibility Studies
Female
Humans
Male
Middle Aged
Predictive Value of Tests
Tomography Scanners, X-Ray Computed
Tomography, Spiral Computed*
Urinary Bladder Neoplasms / pathology,  radiography*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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