Outcomes of a Diagnostic Pathway for Prostate Cancer Based on Biparametric MRI and MRI-Targeted Biopsy Only in a Large Teaching Hospital.

Gleason MRI biopsy prostate cancer systematic targeted

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
29 Sep 2023
Historique:
received: 20 08 2023
revised: 22 09 2023
accepted: 26 09 2023
medline: 14 10 2023
pubmed: 14 10 2023
entrez: 14 10 2023
Statut: epublish

Résumé

Diagnostic pathways for prostate cancer (PCa) balance detection rates and burden. MRI impacts biopsy indication and strategy. A prospectively collected cohort database (N = 496) of men referred for elevated PSA and/or abnormal DRE was analyzed. All underwent biparametric MRI (3 Tesla scanner) and ERSPC prostate risk-calculator. Indication for biopsy was PIRADS ≥ 3 or risk-calculator ≥ 20%. Both targeted (cognitive-fusion) and systematic cores were combined. A hypothetical full-MRI-based pathway was retrospectively studied, omitting systematic biopsies in: (1) PIRADS 1-2 but risk-calculator ≥ 20%, (2) PIRADS ≥ 3, receiving targeted biopsy-cores only. Significant PCa (GG ≥ 2) was detected in 120 (24%) men. Omission of systematic cores in cases with PIRADS 1-2 but risk-calculator ≥ 20%, would result in 34% less biopsy indication, not-detecting 7% significant tumors. Omission of systematic cores in PIRADS ≥ 3, only performing targeted biopsies, would result in a decrease of 75% cores per procedure, not detecting 9% significant tumors. Diagnosis of insignificant PCa dropped by 52%. PCa undetected by targeted cores only, were ipsilateral to MRI-index lesions in 67%. A biparametric MRI-guided PCa diagnostic pathway would have missed one out of six cases with significant PCa, but would have considerably reduced the number of biopsy procedures, cores, and insignificant PCa. Further refinement or follow-up may identify initially undetected cases. Center-specific data on the performance of the diagnostic pathway is required.

Sections du résumé

BACKGROUND BACKGROUND
Diagnostic pathways for prostate cancer (PCa) balance detection rates and burden. MRI impacts biopsy indication and strategy.
METHODS METHODS
A prospectively collected cohort database (N = 496) of men referred for elevated PSA and/or abnormal DRE was analyzed. All underwent biparametric MRI (3 Tesla scanner) and ERSPC prostate risk-calculator. Indication for biopsy was PIRADS ≥ 3 or risk-calculator ≥ 20%. Both targeted (cognitive-fusion) and systematic cores were combined. A hypothetical full-MRI-based pathway was retrospectively studied, omitting systematic biopsies in: (1) PIRADS 1-2 but risk-calculator ≥ 20%, (2) PIRADS ≥ 3, receiving targeted biopsy-cores only.
RESULTS RESULTS
Significant PCa (GG ≥ 2) was detected in 120 (24%) men. Omission of systematic cores in cases with PIRADS 1-2 but risk-calculator ≥ 20%, would result in 34% less biopsy indication, not-detecting 7% significant tumors. Omission of systematic cores in PIRADS ≥ 3, only performing targeted biopsies, would result in a decrease of 75% cores per procedure, not detecting 9% significant tumors. Diagnosis of insignificant PCa dropped by 52%. PCa undetected by targeted cores only, were ipsilateral to MRI-index lesions in 67%.
CONCLUSIONS CONCLUSIONS
A biparametric MRI-guided PCa diagnostic pathway would have missed one out of six cases with significant PCa, but would have considerably reduced the number of biopsy procedures, cores, and insignificant PCa. Further refinement or follow-up may identify initially undetected cases. Center-specific data on the performance of the diagnostic pathway is required.

Identifiants

pubmed: 37835494
pii: cancers15194800
doi: 10.3390/cancers15194800
pmc: PMC10571962
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Leonor J Paulino Pereira (LJ)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Daan J Reesink (DJ)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Peter de Bruin (P)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Giorgio Gandaglia (G)

Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.

Erik J R J van der Hoeven (EJRJ)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Giancarlo Marra (G)

Department of Urology, Città della Salute e della Scienza, University of Turin, 10124 Turin, Italy.

Anne Prinsen (A)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Pawel Rajwa (P)

Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria.
Department of Urology, Medical University of Silesia, 41-800 Zabrze, Poland.

Timo Soeterik (T)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Veeru Kasivisvanathan (V)

Division of Surgery and Interventional Science, University College London, London WC1E 6BT, UK.

Lieke Wever (L)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Fabio Zattoni (F)

Urologic Unit, Department of Surgery, Oncology and Gastroenterology, University of Padova, 35122 Padua, Italy.

Harm H E van Melick (HHE)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Roderick C N van den Bergh (RCN)

Department of Urology, St Antonius Hospital, 3435CM Nieuwegein, The Netherlands.

Classifications MeSH