Thin-section helical computed tomography of the bladder: Initial clinical experience with virtual reality imaging

Hussain, Sarwat; Loeffler, Joyce; Babayan, Richard K.; Fenlon, Helen M.

doi:10.1016/s0090-4295(97)00483-4

Cited by 38 publications

(26 citation statements)

References 6 publications

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“…25 Requiring catheterization and not having the capability of evaluating the color of the urinary bladder wall are other disadvantages. 28,29 In the present study, which was designed for patients suspected of having a primary urinary bladder neoplasm, the findings detected with CVTC were confirmed by conventional cystoscopy. In conventional cystoscopy, no different lesions were determined other than those detected by CTVC.…”

Section: Discussionsupporting

confidence: 69%

Virtual cystoscopy: the evaluation of bladder lesions with computed tomographic virtual cystoscopy

Karabacak

Cakmakci

Öztürk

et al. 2013

CUAJ

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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. L'une des lésions polypoïdes a été classée comme un papillome inversé; 2 des 5 lésions classées comme des épaississements de la paroi vésicale étaient malignes et 3 étaient bénignes. La sensibilité de l'examen par CVTO dans le dépistage des néoplasies était de 100 %, alors que l'exactitude était de 89 %. Conclusion : Même si le diagnostic définitif de certaines tumeurs vésicales potentielles n'est possible que par cystoscopie classique et biopsie, la CVTO est une technique minimalement invasive offrant des informations utiles sur les lésions situées dans la vessie.

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Section: Discussionsupporting

confidence: 69%

Virtual cystoscopy: the evaluation of bladder lesions with computed tomographic virtual cystoscopy

Karabacak

Cakmakci

Öztürk

et al. 2013

CUAJ

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“…Only 1 year later, Hussain et al [9] suggested replacing conventional cystoscopy with VC as a first-line diagnostic approach in patients with haematuria or for the follow-up after tumour resection. Today, thanks to the widespread availability of multidetector CT scanners, CTC with VC is no longer regarded as a sophisticated technical development but, like virtual colonoscopy in the past, is slowly being incorporated into routine clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…Le prime cistografie con TC (CTC) e con cistoscopia virtuale (CV) per lo studio delle neoplasie vescicali sono state eseguite alla fine degli anni '90 [7][8][9]; da allora la tecnica è stata ampiamente sviluppata e recenti studi [10][11][12] dimostrano alti potenziali di sensibilità nell'identificazione di neoplasie vescicali. Per quanto riguarda le dimensioni delle lesioni vescicali, è stato dimostrato che le TC a singolo detettore, a 4 detettori [13] e perfino a 16 detettori, utilizzando protocolli di studio con ricostruzioni a strato sottile (1 mm) [14], permettono l'identificazione di lesioni al di sotto dei 5 mm.…”

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64-detector row CT cystography with virtual cystoscopy in the detection of bladder carcinoma: preliminary experience in selected patients

et al. 2008

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“…These early reports demonstrate a low sensitivity for the detection of smaller tumours using a shaded surface technique of virtual imaging [8,9]. Most of these studies have used a collimation of 3 mm and reconstruction interval of 1-2 mm [6,[10][11][12][13][14][15]. Dectection rates of .90% are reported with a lower size limit of 5 mm.…”

mentioning

confidence: 99%

Investigating the relationship between virtual cystoscopy image quality and CT slice thickness

Lalondrelle

Sohaib²,

Castellano³

et al. 2012

The British Journal of Radiology

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Objective: To investigate the effect of reconstruction slice thickness on image quality at CT virtual cystoscopy (VC). Methods: Pelvic CT examinations in bladder cancer patients were reconstructed at different slice thicknesses (0.6-5 mm) and intervals, and resulting VC images assessed. Quality indicators were ridging, holes, floaters and dimpling artefacts, tumour definition, and an overall score, ranked 1 (best) to 7 (worst). CT number and standard deviation (SD) for bladder contents and bladder wall were recorded. The mean SD was used as a measure of noise, and the contrast-to-noise ratio (CNR) was calculated as the CT number difference between them divided by the average image noise. The mean CNR across the three levels was used for analysis. Each qualitative image quality measure was compared with CT number, noise and CNR measurements. Results: Dimpling artefacts increased with thinner slice reconstruction and correlated with increased noise, often resulting in poor tumour definition. The best overall image quality score was seen for VC images reconstructed at 1.2 mm slice thickness, probably because of the competing effects of spatial resolution and CNR. Conclusion: A slice thickness reconstruction ,1.2 mm does not provide for better image quality at VC owing to the presence of increased noise.

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Thin-section helical computed tomography of the bladder: Initial clinical experience with virtual reality imaging

Cited by 38 publications

References 6 publications

Virtual cystoscopy: the evaluation of bladder lesions with computed tomographic virtual cystoscopy

Virtual cystoscopy: the evaluation of bladder lesions with computed tomographic virtual cystoscopy

64-detector row CT cystography with virtual cystoscopy in the detection of bladder carcinoma: preliminary experience in selected patients

Investigating the relationship between virtual cystoscopy image quality and CT slice thickness

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