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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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Related Experiment Video

Updated: Jul 3, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

[Insignificant prostate cancer. Analysis our series].

E Romero Selas1, F Gómez Veiga, J Ponce Díaz-Reixa

  • 1Servicio de Urología, Hospital Juan Canalejo, La Coruña. eromeroselas78@hotmail.com

Actas Urologicas Espanolas
|July 9, 2008
PubMed
Summary
This summary is machine-generated.

Active surveillance for prostate cancer is challenging. Low-risk biopsy results do not always predict insignificant tumors in radical prostatectomy specimens, limiting active monitoring strategies.

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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Area of Science:

  • Urology
  • Oncology
  • Pathology

Context:

  • Active surveillance is a potential management strategy for prostate cancer.
  • Accurate prediction of insignificant tumors is crucial for successful active surveillance.
  • Radical prostatectomy (RP) specimens are analyzed to evaluate biopsy accuracy.

Purpose:

  • To assess the correlation between biopsy findings and actual tumor insignificance in radical prostatectomy specimens.
  • To determine the efficacy of diagnostic algorithms in identifying suitable candidates for active surveillance.
  • To evaluate the characteristics of prostate cancers initially deemed low-risk based on biopsy.

Summary:

  • The study analyzed 53 patients with low-risk prostate cancer (PSA ≤ 10, one positive core, Gleason score < 7) identified via biopsy.
  • Only 41.5% of these patients had truly insignificant tumors (Gleason < 7, tumoral volume ≤ 5%) in their RP specimens.
  • Despite discrepancies, 92.2% of the identified tumors in RP specimens were organ-confined.

Impact:

  • Current diagnostic algorithms are insufficient for reliably predicting insignificant prostate cancer.
  • Findings suggest limitations in using active surveillance for all patients with low-risk biopsy results.
  • Further research is needed to improve diagnostic accuracy for active surveillance candidate selection.