Evaluating response to radium-223 using

PSMA PET/CT Prognosis Prostate cancer Radium-223 Response

Journal

Annals of nuclear medicine
ISSN: 1864-6433
Titre abrégé: Ann Nucl Med
Pays: Japan
ID NLM: 8913398

Informations de publication

Date de publication:
05 Oct 2024
Historique:
received: 23 08 2024
accepted: 30 09 2024
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 5 10 2024
Statut: aheadofprint

Résumé

Conventional imaging techniques and prostate-specific antigen (PSA) values are not useful to follow-up patients during Radium-223 treatment. The study aimed to evaluate the predictive value of prostate-specific membrane antigen PSMA PET/CT-based response in patients with metastatic castration-resistant prostate cancer (mCRPC) receiving Radium-223 dichloride treatment. Patients treated with radium-223, having performed two Twenty-eight mCRPC patients were evaluated. Sixteen (43%) and 18 (64%) patients had PD according to RECIP1.0 and PPP, respectively; κ = 0.85 (95% CI 0.65-1.00). After a median follow-up of 16 months (interquartile IQR 9-33), 20 (71%) patients died. Patients with PSMA PD showed a higher risk of death than non-PD according to RECIP1.0 (HR = 2.9; 95% CI 1.14-7.46; p = 0.029) and PPP (HR = 2.8; 95% CI 1.04-7.64; p = 0.042). For both criteria, the median OS was shorter for PD than non-PD (37 vs. 12 months, Log-rank; p < 0.05). The C-index for RECIP1.0 and PPP were almost equal (0.66 and 0.63; respectively). This study demonstrated that PSMA-PET/CT imaging is valuable for monitoring radium-223 treatment. Both PSMA PET/CT response criteria (RECIP1.0 and PPP) perform similarly predicting OS at follow-up after three cycles of radium-223. These findings urge further validation in prospective trials.

Identifiants

pubmed: 39368051
doi: 10.1007/s12149-024-01990-w
pii: 10.1007/s12149-024-01990-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s) under exclusive licence to The Japanese Society of Nuclear Medicine.

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Auteurs

Qaid Ahmed Shagera (QA)

Department of Nuclear Medicine, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Rue Meylemeersch 90, 1070, Brussels, Belgium.

Thierry Gil (T)

Department of Oncology, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Elisa Barraco (E)

Department of Nuclear Medicine, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Rue Meylemeersch 90, 1070, Brussels, Belgium.

Petra Boegner (P)

Department of Oncology, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Paulus Kristanto (P)

Data Centre, Unité de Gestion de L'Information (UGI), Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Ziad El Ali (Z)

Department of Oncology, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Spyridon Sideris (S)

Department of Oncology, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Nieves Martinez Chanza (N)

Department of Oncology, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Thierry Roumeguère (T)

Department of Urology, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Brussels, Belgium.

Patrick Flamen (P)

Department of Nuclear Medicine, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Rue Meylemeersch 90, 1070, Brussels, Belgium.

Carlos Artigas (C)

Department of Nuclear Medicine, Institut Jules Bordet, Hopital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Rue Meylemeersch 90, 1070, Brussels, Belgium. carlos.artigas@hubruxelles.be.

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