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Follow-up on patients with initial negative mpMRI target and systematic biopsy for PI-RADS ≥ 3 lesions – an EAU-YAU study enhancing prostate cancer detection

  • Fabio Zattoni*
  • , Giorgio Gandaglia
  • , Roderick C.N. van den Bergh
  • , Giancarlo Marra
  • , Massimo Valerio
  • , Alberto Martini
  • , Jonathan Olivier
  • , Ignacio Puche – SanzI
  • , Pawel Rajwa
  • , Martina Maggi
  • , Riccardo Campi
  • , Rossella Nicoletti
  • , Daniele Amparore
  • , Sabrina De Cillis
  • , Junlong Zhuang
  • , Hongqian Guo
  • , Andrea Fuschi
  • , Alessandro Veccia
  • , Francesco Ditonno
  • , Leonor J. Paulino Pereira
  • Alessandro Marquis, Francesco Barletta, Riccardo Leni, Veeru Kasivisvanathan, Alessandro Antonelli, Juan Gomez Rivas, Sebastiaan Remmers, Monique J. Roobol, Alberto Briganti, Fabrizio Dal Moro, Giacomo Novara
*Corresponding author for this work
  • University of Padua
  • IRCCS Ospedale San Raffaele
  • Division of Oncology
  • University of Turin
  • University of Geneva
  • Université de Lille
  • Department of Urology
  • Hospital Universitario Virgen de las Nieves
  • Medical University of Vienna
  • Medical Centre for Postgraduate Education, Warsaw
  • Medical University of Silesia in Katowice
  • University of Rome La Sapienza
  • Department of Maternal – Infant and Urological Sciences
  • Urology Unit
  • University of Florence
  • Nanjing University
  • People’s Republic of China
  • IRCCS Fondazione Ca'Granda – Ospedale Maggiore Policlinico - Milano
  • St. Antonius Ziekenhuis
  • University College London
  • Hospital Clínico San Carlos de Madrid
  • Oncology and Gastroenterology

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

Purpose: 

To investigate the detection and predictors of prostate cancer (PCA) and clinically significant prostate cancer (csPCA) in patients with positive multiparametric MRI (mpMRI) followed by a negative MRI – guided target biopsy (TB) and systematic biopsy (SB). 

Materials and methods: 

This retrospective multicenter study included 694 patients from 10 tertiary referral centers with an initial positive mpMRI (PI-RADS ≥ 3) and negative results on both MRI-TB and SB. Patients were classified into three groups based on follow-up: Group 1 (prostate re-biopsy without new mpMRI), Group 2 (standardized second prostate mpMRI and subsequent re-biopsy), and Group 3 (follow-up with mpMRIs and biopsy based on clinical and radiological triggers). The primary outcomes were the detection of any PCA and csPCA during follow up. Study groups were compared according to their probability of PCA and csPCA assessed with the ERSPC-MRI risk calculator. Statistical analysis included Kaplan – Meier analysis, Cox regression, and multivariable analysis for the detection of (cs)PCa. 

Results: 

The overall detection of PCA and csPCA was 26.8% and 19.3%, respectively, with varying rates in different PI-RADS groups. Group 3 had the highest 2-year and 5-year PCA–free survival (94 and 84%) and csPCA – free survival (96 and 86%). Multivariable analysis revealed a significantly higher risk of PCA and csPCA in Group 1 and 2 compared to Group 3 (p < 0.01). Clinical and radiological predictors for PCA and csPCA included higher age, prostate volume, PI-RADS score, the presence of atypical small acinar proliferation (ASAP), and a smaller number of TB and SB performed during the initial biopsy. Study limitations, include the retrospective design and reliance on clinical and radiological triggers for follow–up decisions. 

Conclusions: 

Patients with positive mpMRI but negative TB and SB results exhibit varying rates of PCA and csPCA depending on the follow up scheme. Tailored follow-up strategies are essential for optimal management in this clinical scenario.

Original languageEnglish
Pages (from-to)435-443
Number of pages9
JournalProstate Cancer and Prostatic Diseases
Volume28
Issue number2
DOIs
Publication statusPublished - Jun 2025

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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