Predicting the risk of high-grade bladder cancer using noninvasive data.
Urol Int
; 87(3): 319-24, 2011.
Article
em En
| MEDLINE
| ID: mdl-21849760
ABSTRACT
AIM:
To examine the hypothesis that the risk of high-grade bladder cancer can be predicted using noninvasively obtained data. PATIENTS ANDMETHODS:
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Bexiga Urinária
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2011
Tipo de documento:
Article