Upcoming event

MRI characteristics accurately predict biochemical recurrence after radical prostatectomy

  • Cécile Manceau 1,
  • Jean-Baptiste Beauval 2,
  • Marine Lesourd 1,
  • Christophe Almeras 2,
  • Richard Aziza 3,
  • Jean-Romain Gautier 2,
  • Guillaume Loison 2,
  • Ambroise Salin 2,
  • Christophe Tollon 2,
  • Michel Soulié 1,
  • Bernard Malavaud 1,
  • Mathieu Roumiguié 1,
  • Guillaume Ploussard 2
1 Department of Urology, CHU Toulouse-IUCT Oncopole, 31400 Toulouse, France 2 Department of Urology, La Croix du Sud Hospital, 31130 Quint Fonsegrives, France 3 Department of Radiology, Institut Universitaire du Cancer Toulouse Oncopole, 31400 Toulouse, France

Publication: Journal of Clinical Medicine, November 2020

Background

After radical prostatectomy (RP), biochemical recurrence (BCR) is associated with an increased risk of developing distant metastasis and prostate cancer specific and overall mortality.

Methods

The two-centre study included 521 consecutive patients undergoing RP for positive pre-biopsy magnetic resonance imaging (MRI) and pathologically proven prostate cancer (PCa), after which a combination scheme of fusion-targeted biopsy (TB) and systematic biopsy was performed. We assessed correlations between MRI characteristics, International Society of Urological Pathology (ISUP) grade group in TB, and outcomes after RP. We developed an imaging-based risk classification for improving BCR prediction.

Results

Higher Prostate Imaging and Reporting and Data System (PI-RADS) score (p = 0.013), higher ISUP grade group in TB, and extracapsular extension (ECE) on the MRI were significantly associated with more advanced disease (pTstage), higher ISUP grade group (p = 0.001), regional lymph nodes metastasis in RP specimens (p < 0.001), and an increased risk of recurrence after surgery. A positive margin status was significantly associated with ECE-MRI (p < 0.001). Our imaging-based classification included ECE on MRI, ISUP grade group on TB, and PI-RADS accurately predicted BCR (AUC = 0.714, p < 0.001). This classification had more improved area under the curve (AUC) than the standard d’Amico classification in our population. Validation was performed in a two-centre cohort.

Conclusions

In this cohort, PI-RADS score, MRI stage, and ISUP grade group in MRI-TB were significantly predictive for disease features and recurrence after RP. Imaging-based risk classification integrating these three factors competed with d’Amico classification for predicting BCR.