TUMOR DETECTION BY VIRTUAL CYSTOSCOPY WITH COLOR MAPPING OF BLADDER WALL THICKNESS (2002)

No AccessJournal of UrologyCLINICAL UROLOGY: Original Articles1 Feb 2002TUMOR DETECTION BY VIRTUAL CYSTOSCOPY WITH COLOR MAPPING OF BLADDER WALL THICKNESS JULIA R. FIELDING, LENNOX HOYTE, STEVEN A. OKON, ANDREAS SCHREYER, JHEMON LEE, KELLY H. ZOU, SIMON WARFIELD, JEROME P. RICHIE, KEVIN R. LOUGHLIN, MICHAEL P. O’LEARY, CHRISTOPHER J. DOYLE, and RON KIKINIS JULIA R. FIELDINGJULIA R. FIELDING More articles by this author , LENNOX HOYTELENNOX HOYTE More articles by this author , STEVEN A. OKONSTEVEN A. OKON More articles by this author , ANDREAS SCHREYERANDREAS SCHREYER More articles by this author , JHEMON LEEJHEMON LEE More articles by this author , KELLY H. ZOUKELLY H. ZOU More articles by this author , SIMON WARFIELDSIMON WARFIELD More articles by this author , JEROME P. RICHIEJEROME P. RICHIE More articles by this author , KEVIN R. LOUGHLINKEVIN R. LOUGHLIN More articles by this author , MICHAEL P. O’LEARYMICHAEL P. O’LEARY More articles by this author , CHRISTOPHER J. DOYLECHRISTOPHER J. DOYLE More articles by this author , and RON KIKINISRON KIKINIS More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(01)69085-2AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: We determine the value of color mapping of bladder wall thickness for detection of tumor as a component of virtual cystoscopy. Materials and Methods: A total of 31 subjects with hematuria and/or a history of bladder tumor underwent helical computerized tomography of the pelvis after distention of the bladder with air. Three-dimensional (D) models were constructed, and thickness of the wall was color mapped according to a fixed and validated mm. scale. Axial source images and 3-D models were reviewed and graded for the presence of wall thickening. A comparison was made with findings on conventional cystoscopy in 31 patients and pathological specimen in 13. Results: Compared with conventional cystoscopy, the analysis of axial image yielded a sensitivity of 0.80, specificity 0.90, positive predictive value 0.80 and negative predictive value 0.90 for the presence of tumor. Examination of color mapped 3-D renderings resulted in 0.83, 0.36, 0.42 and 0.71, respectively. Conclusions: Thin axial computerized tomography of the air distended bladder shows promise as a potential screening tool for bladder cancer. The low specificity of color mapped 3-D renderings makes the technique inappropriate for screening. It may valuable for guiding urologists to additional suspicious sites in a patient with a known tumor. References 1 : The treated natural history of high risk superficial bladder cancer: 15-year outcome. J Urol1997; 158: 62. Link, Google Scholar 2 : Upper urinary tract tumors developing after treatment of superficial bladder cancer: 7-year follow-up of 591 consecutive patients. Urology1999; 53: 1144. 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Williams R (2002) What’s New in UrologyJournal of the American College of Surgeons, 10.1016/S1072-7515(02)01488-6, VOL. 195, NO. 5, (663-674), Online publication date: 1-Nov-2002. Volume 167Issue 2 Part 1February 2002Page: 559-562 Advertisement Copyright & Permissions© 2002 by American Urological Association, Inc.Keywordsbladder neoplasmsdiagnosisbladdertomography scanners, x-ray computeddata displayMetricsAuthor Information JULIA R. FIELDING More articles by this author LENNOX HOYTE More articles by this author STEVEN A. OKON More articles by this author ANDREAS SCHREYER More articles by this author JHEMON LEE More articles by this author KELLY H. ZOU More articles by this author SIMON WARFIELD More articles by this author JEROME P. RICHIE More articles by this author KEVIN R. LOUGHLIN More articles by this author MICHAEL P. O’LEARY More articles by this author CHRISTOPHER J. 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