Magnetic Resonance Imaging-Targeted Biopsy and Pretherapeutic Prostate Cancer Risk Assessment : a Systematic Review: Biopsie ciblée par Imagerie par résonance magnétique et évaluation pré-thérapeutique du risque de cancer de la prostate : revue systématique

Copyright © 2022 Elsevier Masson SAS. Tous droits réservés..

INTRODUCTION: Multiparametric magnetic resonance imaging (MRI) has been included in prostate cancer (PCa) diagnostic pathway and may improve disease characterization. The aim of this systematic review is to assess the added value of MRI-targeted biopsy (TB) in pre-therapeutic risk assessment models over existing tools based on systematic biopsy (SB) for localized PCa.

EVIDENCE ACQUISITION: A systematic search was conducted using Pubmed (Medline), Scopus and ScienceDirect databases according to Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement. We included studies through October 2021 reporting on TB in pretherapeutic risk assessment models.

EVIDENCE SYNTHESIS: We identified 24 eligible studies including 24'237 patients for the systematic review. All included studies were retrospective and conducted in patients undergoing radical prostatectomy. Nine studies reported on the risk of extraprostatic extension, seven on the risk of lymph node invasion, three on the risk of biochemical recurrence and nine on the improvement of PCa risk stratification. Overall, the combination of TB with imaging, clinical and biochemical parameters outperformed current pretherapeutic risk assessment models. External validation studies are lacking for certain endpoints and the absence of standardization among TB protocols, including number of TB cores and fusion systems, may limit the generalizability of the results.

CONCLUSION: TB should be incorporated in pretherapeutic risk assessment models to improve clinical decision making. Further high-quality studies are required to determine models' generalizability while there is an urgent need to reach consensus on a standardized TB protocol. Long-term outcomes after treatment are also awaited to confirm the superiority of such models over classical risk classifications only based on SB. © 2022 Elsevier Masson SAS. All rights reserved.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:32

Enthalten in:

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie - 32(2022), 6S1 vom: 31. Juni, Seite 6S3-6S18

Sprache:

Englisch

Beteiligte Personen:

Diamand, R [VerfasserIn]
Mjaess, G [VerfasserIn]
Ploussard, G [VerfasserIn]
Fiard, G [VerfasserIn]
Oderda, M [VerfasserIn]
Lefebvre, Y [VerfasserIn]
Sirtaine, N [VerfasserIn]
Roumeguère, T [VerfasserIn]
Peltier, A [VerfasserIn]
Albisinni, S [VerfasserIn]

Links:

Volltext

Themen:

Évaluation du risque
Biopsie ciblée
Cancer de la prostate
IRM
Journal Article
MRI
Prostate cancer
Risk assessment
Systematic Review
Targeted biopsy

Anmerkungen:

Date Completed 02.02.2023

Date Revised 02.02.2023

published: Print

Citation Status MEDLINE

doi:

10.1016/S1166-7087(22)00170-1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM35230023X