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Virtual cystoscopy: the evaluation of bladder lesions with computed tomographic virtual cystoscopy.
MedLine Citation:
PMID:  21470511     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
PURPOSE: Our objective was to assess the accuracy of computed tomographic virtual cystoscopy (CTVC) in the detection of urinary bladder lesions.
METHODS: Twenty-five patients were examined using CTVC. Bladder scanned using multislice CT at a slice thickness of 1 mm. The data were transferred to a workstation for interactive navigation using surface rendering. Findings obtained from CTVC were compared with results from conventional cystoscopy and with pathological findings.
RESULTS: Thirty-eight lesions were identified. The smallest was 0.2 × 0.3 cm; the largest was 7 × 4.5 cm. Both CTVC and conventional cystoscopy were used. Conventional cystoscopy detected the same number of lesions that were detected by CTVC. On morphological examination, 26 of the lesions were polypoid, 7 were sessile and 5 were bladder wall-thickening. While one of the polypoid lesions was reported as an inverted papilloma, 2 of the 5 lesions that were identified as wall-thickening were malignant and 3 were benign. The sensitivity of using CTVC to identify neoplasias was 100%; the accuracy was 89%.
CONCLUSION: Although the definitive diagnosis of some suspected urinary bladder tumours is only possible with conventional cystoscopy and biopsy, CTVC is a minimally invasive technique which provides beneficial information about urinary bladder lesions.
Authors:
Osman Raif Karabacak; Esin Cakmakci; Ufuk Ozturk; Fuat Demirel; Alper Dilli; Baki Hekimoglu; Ugur Altug
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Canadian Urological Association journal = Journal de l'Association des urologues du Canada     Volume:  5     ISSN:  1911-6470     ISO Abbreviation:  Can Urol Assoc J     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-04-07     Completed Date:  2011-07-14     Revised Date:  2011-07-28    
Medline Journal Info:
Nlm Unique ID:  101312644     Medline TA:  Can Urol Assoc J     Country:  Canada    
Other Details:
Languages:  eng     Pagination:  34-7     Citation Subset:  -    
Affiliation:
Ministry of Health, Ankara Dışkapı Yıldırım Beyazit Education and Research Hospital, Department of Urology, Ankara, Turkey.
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