title: [Virtual cystoscopy based on spiral CT data].
abstract: Simulation of three-dimensional cystoscopy based on helical CT scan data in real-time in patients with tumours of the urinary bladder. In three patients with histologically confirmed carcinoma of the urinary bladder, a helical CT scan with double detector technology was carried out preoperatively. A native scan was first performed, followed by an examination in the early contrast medium enhanced phase. After adequate contrasting of the urinary bladder (30 minutes latency), further images were acquired. These data were transferred to a separate graphic computer workstation and reconstructed. The results were then compared with the cystoscopic and pathohistological findings. All tumours of the urinary bladder identified at fiberoptic cystoscopy were also visualised by virtual cystoscopy. The best reconstruction results were obtained from data acquired after the 30-minute latency period. Virtual cystoscopy represents an interesting option in helical CT scanning, which is able to visualise polypoid tumours of the urinary bladder. Its clinical relevance, however, must be demonstrated in studies with a larger number of patients examined.
authors.affiliation: Abteilung Radiologie, Universität Ulm.
authors.forename: E M
authors.initials: EM
authors.lastname: Merkle
authors.forename: T
authors.initials: T
authors.lastname: Fleiter
authors.forename: A
authors.initials: A
authors.lastname: Wunderlich
authors.forename: N
authors.initials: N
authors.lastname: Rilinger
authors.forename: J
authors.initials: J
authors.lastname: Görich
authors.forename: R
authors.initials: R
authors.lastname: Sokiranski
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002295:Carcinoma, Transitional Cell / Q000000981:diagnostic imaging* / Q000473:pathology; D003196:Computer Graphics; D003558:Cystoscopy; D005260:Female; D005336:Fiber Optic Technology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D014057:Tomography, X-Ray Computed / Q000379:methods*; D001743:Urinary Bladder / Q000473:pathology; D001749:Urinary Bladder Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology