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January 22, 2026Current OncologyOpen Access

SOGUG Multidisciplinary Expert Panel Consensus on Updated Diagnosis and Characterization of Prostate Cancer Patients

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Authors

EGE. GallardoAGAlfonso Gómez-de-IturriagaJMJesús Muñoz-Rodríguez

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Overview

Expert consensus updates prostate cancer diagnosis and characterization, suggesting personalized treatment options.

Key Points

  • The aim is to summarize current screening, diagnosis, imaging, and molecular characterization practices for prostate cancer.
  • Review and discussion by a multidisciplinary team of experts in prostate cancer care
  • Focus on risk-based approaches and algorithms for screening
  • Examine next-generation imaging techniques such as PSMA PET/CT and mpMRI
  • Adapt protocols for germline testing and identify key genetic markers
  • Emphasized the importance of evidence-based, tailored patient care
  • Identified high sensitivity of next-generation imaging methods for prostate cancer detection
  • Recommended using specific molecular probes to enhance MRI staging
  • Proposed implementation of genomic classifiers to inform treatment decisions

Cite This Study

Gallardo et al. (2026) studied this question.

synapsesocial.com/papers/6971be8d642b1836717e331ehttps://doi.org/10.3390/curroncol33010061
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Therapeutic Alliances for Optimizing the Management of Patients with Prostate Cancer: SOGUG Multidisciplinary Expert Panel Recommendations2025
  2. 2Evolving strategies in prostate cancer: Emerging approaches and unmet needs from the Bridging the Gaps in Prostate Cancer expert panel2026
  3. 3Advances in Precision Diagnostics and Personalized Therapeutics for Prostate Cancer: An Integrated Precision Continuum from Risk-Adapted Detection to Biomarker-Directed Therapy and Dynamic Monitoring2026
  4. 4EPIDEMIOLOGY AND DIAGNOSTIC TOOLS TO DETECT AND DIAGNOSE PROSTATE CANCER2025
  5. 5Prostate cancer: screening and early detection2024 · 2 citations