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[A preliminar mathematical model for patients with a previous negative prostate biopsy]
Ramírez M Backhaus1, Trassierra M Villa, Bahilo P Mateu
1Servicio de Urología, Hospital Universitario La Fe, Valencia. ramirezbackhaus@yahoo.es
A repeated prostate biopsy can detect cancer in 46% of men with prior negative results. Key factors like age, digital rectal exam findings, prostate volume, and precarcinomatous lesions help predict positive outcomes in repeat biopsies.
Area of Science:
- Urology
- Oncology
- Medical Diagnostics
Context:
- Identifying prostate cancer in patients with initially negative biopsies is a clinical challenge.
- Classical screening variables may have utility in risk stratification for repeat biopsy decisions.
Purpose:
- To evaluate the effectiveness of traditional prostate cancer screening variables in patients with prior negative biopsies.
- To develop a predictive nomogram for guiding repeat prostate biopsy decisions.
Summary:
- This study analyzed 179 patients with at least one negative prostate biopsy.
- Logistic regression identified age, digital rectal examination, prostate volume, and precarcinomatous lesions as significant predictors of cancer in repeat biopsies.
- A nomogram incorporating these variables achieved a concordance index of 0.80.
Impact:
- The findings can improve the selection of patients who would benefit from repeat prostate biopsies.
- A validated nomogram may enhance clinical decision-making, potentially reducing unnecessary procedures and improving early cancer detection.
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