| 16-MDCT cystoscopy in the evaluation of neoplasms of the urinary bladder. | |
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MedLine Citation:
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PMID: 18287445 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Constantine Tsampoulas; Athina C Tsili; Dimitrios Giannakis; Yiannis Alamanos; Nikolaos Sofikitis; Stavros C Efremidis |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: AJR. American journal of roentgenology Volume: 190 ISSN: 1546-3141 ISO Abbreviation: AJR Am J Roentgenol Publication Date: 2008 Mar |
Date Detail:
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Created Date: 2008-02-21 Completed Date: 2008-04-10 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7708173 Medline TA: AJR Am J Roentgenol Country: United States |
Other Details:
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Languages: eng Pagination: 729-35 Citation Subset: AIM; IM |
Affiliation:
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Department of Clinical Radiology, University Hospital of Ioannina, Leoforos S. Niarchou, 45500, Pl. Pargis, 2, 45332, Ioannina, Greece. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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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* |
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