Literature DB >> 21849760

Predicting the risk of high-grade bladder cancer using noninvasive data.

Nandakishore Shapur1, Dov Pode, Ran Katz, Amos Shapiro, Vladimir Yutkin, Galina Pizov, Liat Appelbaum, Kevin C Zorn, Mordechai Duvdevani, Ezekiel H Landau, Ofer N Gofrit.   

Abstract

AIM: To examine the hypothesis that the risk of high-grade bladder cancer can be predicted using noninvasively obtained data. PATIENTS AND METHODS: We retrospectively analyzed the database of 431 patients that had transurethral resection of first-time bladder tumors between June 1998 and December 2009. Pre-operative parameters evaluated were: patients' age; gender; sonographic tumor diameter, number and location of tumor inside the bladder; presence of hydronephrosis, and results of urinary cytology. Parameters that showed significance in multivariate analysis were incorporated into the nomogram.
RESULTS: Multivariate analysis of the data showed that patient's age, the presence of hydronephrosis, sonographic tumor diameter (risk of a high-grade tumor: 14, 29, 43.3, 55.7 and 69.4% at diameters: 0.5-1.5, 1.6-2, 2.1-2.5, 2.6-3 and >3 cm, respectively), location of tumor in the bladder (risk of high-grade tumor: 28.8, 47, 67.5 and 90.5% in the lateral walls, posterior/base, anterior and dome, respectively), and urinary cytology were all highly significant and independent predictors of high-grade tumors. A nomogram constructed using these variables scored an area of 0.853 in the ROC curve.
CONCLUSIONS: The risk of high-grade bladder tumor can be accurately predicted using non-invasively obtained information. This prediction can help to triage patients with newly detected bladder cancer for biopsy.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21849760     DOI: 10.1159/000328635

Source DB:  PubMed          Journal:  Urol Int        ISSN: 0042-1138            Impact factor:   2.089


  3 in total

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Authors:  Ken Wakai; Takanobu Utsumi; Kei Yoneda; Ryo Oka; Takumi Endo; Masashi Yano; Masaaki Fujimura; Naoto Kamiya; Nobuyuki Sekita; Kazuo Mikami; Isamu Sugano; Nobuyuki Hiruta; Hiroyoshi Suzuki
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  3 in total

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