Imaging and therapy in prostate cancer using PSMA radioligands.

Prostate cancer lutetium prostate specific membrane antigen (PSMA) theranostics

Journal

The British journal of radiology
ISSN: 1748-880X
Titre abrégé: Br J Radiol
Pays: England
ID NLM: 0373125

Informations de publication

Date de publication:
11 May 2024
Historique:
received: 12 09 2023
revised: 29 04 2024
accepted: 03 05 2024
medline: 11 5 2024
pubmed: 11 5 2024
entrez: 11 5 2024
Statut: aheadofprint

Résumé

Prostate specific membrane antigen (PSMA)-directed PET imaging has rapidly transformed prostate cancer workup over the past decade and paved the way for a theranostic approach using 177Lu-labelled PSMA radioligand therapy. This review gives an overview of the underlying principles behind PSMA as a target; the current use of PSMA PET in prostate cancer imaging and benefits compared to conventional imaging; and therapeutic applications including optimisation of patient selection. It also explores the evidence base of PSMA PET for other indications not in routine clinical use and the future of PSMA-directed radioligand therapy.

Identifiants

pubmed: 38733571
pii: 7669107
doi: 10.1093/bjr/tqae092
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the British Institute of Radiology.

Auteurs

Mitesh Naik (M)

Imaging Department, Imperial College Healthcare NHS Trust, London.

Sairah R Khan (SR)

Imaging Department, Imperial College Healthcare NHS Trust, London.

Valerie Lewington (V)

Division of Imaging Sciences and Biomedical Engineering, Kings College London, London, WC2R 2LS.

Amar Challapalli (A)

Department of Clinical Oncology, Bristol Cancer Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, BS2 8ED.

Amy Eccles (A)

Imaging Department, Imperial College Healthcare NHS Trust, London.

Tara D Barwick (TD)

Imaging Department, Imperial College Healthcare NHS Trust, London.

Classifications MeSH