Virtual computed tomography cystoscopy in bladder pathologies.
OBJECTIVE
Assessed the usefulness of virtual cystoscopy performed with multidetector computed tomography (CT) in patients with different urinary bladder pathologies compared to the conventional cystoscopy.


METHODS
Eighteen patients with different bladder pathologies, which consisted of 11 tumors, 3 diverticula, 2 trabecular changes and 2 stones, were assessed with conventional cystoscopy and virtual CT cystoscopy. The results of virtual CT cystoscopy were compared with the findings of conventional cystoscopy. We determined the detection rate and positive predictive value of CT imaging based virtual cystoscopy in the diagnosis of urinary bladder lesions.


RESULTS
CT scanning was well tolerated by all patients, and no complications occurred. Images in 16 (88%) of the 18 virtual cystoscopic examinations were either of excellent or good quality. All tumors except one, 2 trabecular changes and 2 stones were characterized with similar findings in the both of methods. The masses ranged from 0.4 to 7.0 cm in diameter. While conventional cystoscopy could not evaluate interior part of the diverticulum, virtual CT cystoscopy could demonstrate clearly within it. There were no false-positive findings in our series.


CONCLUSIONS
Virtual CT cystoscopy is a promising technique to be used in the detection of bladder lesions. It should be considered especially at the evaluation of bladder diverticula. In the future, it may be possible or even advantageous to incorporate into the imaging algorithm for evaluation of bladder lesion.
Arslan
Halil
H
Department of Radiology, Yuzuncu Yil University School of Medicine, Van, Turkey. drhalilarslan@hotmail.com
Ceylan
Kadir
K
Harman
Mustafa
M
Yilmaz
Yuksel
Y
Temizoz
Osman
O
Can
Saban
S
D000328:Adult; D000368:Aged; D003558:Cystoscopy / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D014057:Tomography, X-Ray Computed / Q000379:methods*; D001745:Urinary Bladder Diseases / Q000000981:diagnostic imaging*; D001749:Urinary Bladder Neoplasms / Q000000981:diagnostic imaging