The diagnostic accuracy of radiolabeled PSMA-ligand PET for tumour staging in newly diagnosed prostate cancer patients compared to histopathology: a systematic review and meta-analysis.


Journal

European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 18 05 2023
accepted: 05 08 2023
medline: 29 11 2023
pubmed: 19 8 2023
entrez: 19 8 2023
Statut: ppublish

Résumé

The current clinical recommendations posit the deployment of specific approved radiolabeled prostate-specific membrane antigen-ligand positron emission tomography (PSMA PET) for detecting metastatic prostate cancer during primary staging. Nevertheless, the precise efficacy of such ligands in localizing intraprostatic tumours (index tumour) and T-staging is not well established. Consequently, the objective of this inquiry is to ascertain the diagnostic accuracy of PSMA-PET in the tumour staging of newly diagnosed prostate cancer by means of a meta-analysis that integrates studies utilizing histological confirmation as the reference standard. In this study, we conducted a systematic literature search of the PubMed, Embase, Web of Science, and Cochrane Library databases using a predefined collection of search terms. These terms included 'PSMA PET', 'primary staging', and 'prostate cancer'. Subsequently, two independent reviewers evaluated all the studies based on predetermined inclusion criteria, extracted pertinent data, and assessed the quality of evidence. Any disparities were resolved by a third reviewer. A random effects Sidik-Jonkman model was applied to conduct a meta-analysis and estimate the diagnostic accuracy on a per-patient basis, along with 95% confidence intervals. Moreover, an appraisal regarding the likelihood of publication bias and the impact of small-study effects was performed utilizing both Egger's test and a graphical examination of the funnel plot. The present analysis comprised a total of twenty-three scientific papers encompassing 969 patients and involved their analysis by both qualitative and quantitative approaches. The results of this study demonstrated that the estimated diagnostic accuracy of PSMA PET/CT and PSMA PET/MRI, for the detection of intraprostatic tumours, regardless of the type of PSMA-ligand, was 86% (95% CI: 76-96%) and 97% (95% CI: 94-100%), respectively. Furthermore, the diagnostic accuracy for the detection of extraprostatic extension (EPE) was 73% (95% CI: 64-82%) and 77% (95% CI: 69-85%), while the diagnostic accuracy for the detection of seminal vesicle involvement (SVI) was 87% (95% CI: 80-93) and 90% (95% CI: 82-99%), respectively. The present investigation has demonstrated that PSMA PET/MRI surpasses currently recommended multiparametric magnetic resonance imaging (mpMRI) in terms of diagnostic accuracy as inferred from a notable data trajectory, whereas PSMA-PET/CT exhibited comparable diagnostic accuracy for intraprostatic tumour detection and T-staging compared to mpMRI. Nevertheless, the analysis has identified certain potential limitations, such as small-study effects and a potential for publication bias, which may impact the overall conclusions drawn from this study.

Identifiants

pubmed: 37597010
doi: 10.1007/s00259-023-06392-0
pii: 10.1007/s00259-023-06392-0
doi:

Substances chimiques

Ligands 0
Gallium Radioisotopes 0

Types de publication

Meta-Analysis Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

281-294

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Farid Gossili (F)

Department of Nuclear Medicine and Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark. f.gossili@rn.dk.
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. f.gossili@rn.dk.

Anna Winther Mogensen (AW)

Department of Nuclear Medicine and Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Tea Caroline Konnerup (TC)

Unit of Clinical Biostatistics, Aalborg University Hospital, Aalborg, Denmark.

Kirsten Bouchelouche (K)

Department of Nuclear Medicine & PET-Centre, Aarhus University Hospital, Aarhus, Denmark.

Ian Alberts (I)

Department of Nuclear Medicine. Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Ali Afshar-Oromieh (A)

Department of Nuclear Medicine. Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Helle D Zacho (HD)

Department of Nuclear Medicine and Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

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