Literature DB >> 15050229

Virtual cystoscopy in the evaluation of bladder tumors.

Cisel Yazgan1, Suat Fitoz, Cetin Atasoy, Kadir Turkolmez, Cemil Yagci, Serdar Akyar.   

Abstract

OBJECTIVE: The objective of this study was to investigate the value of contrast material-filled virtual cystoscopy in the detection of bladder tumors.
MATERIALS AND METHODS: Thirty-nine patients who had recent diagnosis or were followed up due to priory history of bladder tumor underwent virtual cystoscopy. After the intravenous injection of contrast medium, the bladder was examined with helical computed tomography (CT) scan. The data were transferred to a workstation for interactive navigation using surface rendering. Two radiologists independently interpreted the axial and virtual images, and discrepancies were resolved by consensus. The results of virtual cystoscopy were compared with the findings of conventional cystoscopy.
RESULTS: Forty-nine of 54 bladder lesions detected with conventional cystoscopy in 33 patients were also shown on virtual images. On virtual cystoscopy, three of the seven lesions 5 mm or smaller in diameter could be identified. There were no false-positive findings. The sensitivity of the technique was 96.2% for polypoid tumors and 88.9% for sessile lesions. When axial and virtual images were evaluated together, the sensitivity rate increased to 94.4%.
CONCLUSION: Bladder tumors can be diagnosed noninvasively using contrast medium-filled virtual cystoscopy. Evaluation of both the axial and virtual images increases the sensitivity of the technique.

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Year:  2004        PMID: 15050229     DOI: 10.1016/S0899-7071(03)00117-7

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  8 in total

Review 1.  New imaging modalities in bladder cancer.

Authors:  Mansi A Saksena; Douglas M Dahl; Mukesh G Harisinghani
Journal:  World J Urol       Date:  2006-11       Impact factor: 4.226

2.  3D detection and extraction of bladder tumors via MR virtual cystoscopy.

Authors:  Dan Xiao; Guopeng Zhang; Yang Liu; Zengyu Yang; Xi Zhang; Lihong Li; Chun Jiao; Hongbing Lu
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-20       Impact factor: 2.924

3.  Application of new technology in bladder cancer diagnosis and treatment.

Authors:  Alvin C Goh; Seth P Lerner
Journal:  World J Urol       Date:  2009-02-22       Impact factor: 4.226

4.  64-detector row CT cystography with virtual cystoscopy in the detection of bladder carcinoma: preliminary experience in selected patients.

Authors:  V Panebianco; M Osimani; D Lisi; E Santucci; M Ciccariello; S Iori; C Catalano; R Passariello
Journal:  Radiol Med       Date:  2008-12-11       Impact factor: 3.469

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

Authors:  S Lalondrelle; S A Sohaib; I A Castellano; D Mears; R Huddart; V Khoo
Journal:  Br J Radiol       Date:  2012-01-03       Impact factor: 3.039

6.  Real-time bladder lesion registration and navigation: a phantom study.

Authors:  Michelle Agenant; Herke-Jan Noordmans; Wim Koomen; J L H Ruud Bosch
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

7.  Hsp74, a potential bladder cancer marker, has direct interaction with keratin 1.

Authors:  Ling Chen; YaRong Wang; Le Zhao; Wei Chen; Chunhui Dong; Xinhan Zhao; Xu Li
Journal:  J Immunol Res       Date:  2014-06-23       Impact factor: 4.818

8.  Can CT Virtual Cystoscopy Replace Conventional Cystoscopy in Early Detection of Bladder Cancer?

Authors:  Sachin Abrol; Ankush Jairath; Sanika Ganpule; Arvind Ganpule; Shashikant Mishra; Ravindra Sabnis; Mahesh Desai
Journal:  Adv Urol       Date:  2015-10-27
  8 in total

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