Prediction of clinically significant prostate cancer using multi parametric MRI, biparametric MRI and clinical parameters.


Journal

Urologia internationalis
ISSN: 1423-0399
Titre abrégé: Urol Int
Pays: Switzerland
ID NLM: 0417373

Informations de publication

Date de publication:
31 Aug 2024
Historique:
received: 24 04 2024
accepted: 30 07 2024
medline: 2 9 2024
pubmed: 2 9 2024
entrez: 1 9 2024
Statut: aheadofprint

Résumé

Multiparametric MRI (mpMRI) is gold standard for the primary diagnostic work-up of clinically significant prostate cancer (csPCa). The aim of this study was to assess the benefit of the perfusion sequence and the non-inferiority of an MRI without contrast administration (bpMRI) compared to mpMRI while taking clinical parameters into account. In this retrospective, non-interventional study we examined MRI data from 355 biopsy-naïve patients, performed on a 3T MRI system, evaluated by a board-certified radiologist with over 10 years of experience with subsequent mpMRI-TRUS fusion biopsy. Only 16/355 (4.5%) patients benefited from DCE. In only 3/355 (0.8 %) patients csPCa would have been missed in bpMRI. BpMRI provided sensitivity and specificity (81.4 %; 79.4 %) comparable to mpMRI (75.2 %; 81.8 %). Additionally, bpMRI and mpMRI were independent predictors for the presence of csPCa, individually (OR 15.36; p < 0.001 vs. 12.15; p = 0.006) and after accounting for established influencing factors (OR 12.81; p < 0.001 vs. 6.50; p = 0.012). I When clinical parameters were considered, a more balanced diagnostic performance between sensitivity and specificity was found for mpMRI and bpMRI. Overall, PSA density showed the highest diagnostic performance (AUC = 0,81) for the detection of csPCa. The premise of the study was confirmed. Therefore bpMRI should be adopted as soon as existing limitations have been lifted by prospective multi-reader studies.

Identifiants

pubmed: 39217986
pii: 000541152
doi: 10.1159/000541152
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

S. Karger AG, Basel.

Auteurs

Classifications MeSH