MRI-detected extranodal extension as a marker of prostate cancer aggressiveness

Aline Araújo Naves1, Gabriel de Lion Gouvea1, Camila V B Machado1

  • 1Department of Imaging, Oncology and Hematology, Ribeirao Preto School of Medicine, University of Sao Paulo, Sao Paulo, Brazil.

European Radiology
|April 4, 2025
PubMed
Abstract

Insights

Magnetic Resonance Imaging (MRI)-detected extranodal extension (ENE) in prostate cancer (PCa) predicts survival outcomes. This imaging marker, despite its low prevalence, offers valuable prognostic insights for aggressive PCa.

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Extranodal extension (ENE) is a known histological marker of aggressiveness in various cancers.
  • The prognostic value of clinically detected ENE in prostate cancer (PCa) using Magnetic Resonance Imaging (MRI) has not been established.

Purpose of the Study:

  • To evaluate if clinically detected ENE on MRI can serve as a biological marker of PCa aggressiveness.
  • To assess the association of MRI-detected ENE with clinical outcomes such as Overall Survival (OS), Specific Survival Rate (SSR), and Progression-Free Survival (PFS).

Main Methods:

  • A retrospective analysis of 461 PCa patients who underwent MRI on a 3-T scanner between 2013 and 2017.
  • Patients were categorized based on lymph node involvement (LNI) and ENE presence.
  • Two radiologists assessed MRI scans for lesion characteristics, LNI, and ENE, with reproducibility assessed for ENE and PI-RADS.

Main Results:

  • The prevalence of MRI-detected ENE was 4.1%.
  • Significant differences in age, PSA, ISUP scores, and staging were observed between groups.
  • Cox proportional hazards models indicated that ENE was significantly associated with both SSR (HR: 8.50) and PFS (HR: 8.18), while LNI was linked to poor PFS (HR: 5.99).

Conclusions:

  • MRI-detected ENE is a reproducible imaging feature that serves as an independent prognostic marker for PCa.
  • Despite its low prevalence, clinical ENE detected by MRI predicts Specific Survival Rate and Progression-Free Survival.
  • These findings support the use of MRI-detected ENE as a non-invasive biomarker for identifying aggressive prostate cancer.