18F-Choline PET/CT or PET/MR and the evaluation of response to systemic therapy in prostate cancer: are we ready?

Choline PET PET Prostate cancer Therapy response assessment

Journal

Clinical and translational imaging
ISSN: 2281-5872
Titre abrégé: Clin Transl Imaging
Pays: Italy
ID NLM: 101616225

Informations de publication

Date de publication:
2022
Historique:
received: 10 06 2022
accepted: 18 07 2022
pubmed: 4 8 2022
medline: 4 8 2022
entrez: 3 8 2022
Statut: ppublish

Résumé

During the last decade, [18F]F-choline positron emission tomography (PET) had a rising role in prostate cancer (PCa) imaging. However, despite auspicious premises, [18F]F-choline PET is not currently recommended for the evaluation of response to therapy assessment in PCa, mainly due to the lack of large-scale prospective trials. We report the cases of seven patients affected by PCa, in which [18F]F-choline PET (either with computed tomography-CT or magnetic resonance imaging-MR) contributed significantly in the systemic therapy response evaluation. [18F]F-choline PET/CT or PET/MR demonstrated to be a useful imaging modality in the assessment of response to systemic therapy in metastatic PCa patients, irrespective of the stage of disease (either in hormone sensitive and in castrate resistant condition) and the kind of systemic treatment. In most cases, PSA serum values and [18F]F-choline PET showed a synchronous disease evolution after systemic therapy. ADT can alter [18F]F-choline uptake, therefore the time of scan should be correctly planned. Finally, PET/CT with [18F]F-choline is a useful tool for reinforcing the identification of metastatic disease in case of a switch from metastatic castration sensitive to castration resistant PCa.

Identifiants

pubmed: 35919380
doi: 10.1007/s40336-022-00515-7
pii: 515
pmc: PMC9333077
doi:

Types de publication

Journal Article

Langues

eng

Pagination

687-695

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Conflict of interestThe authors have no conflicts of interest to declare that are relevant to the content of this article.

Auteurs

Luca Urso (L)

Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy.

Federica Lancia (F)

Oncological Medical and Specialists Department, Oncology Unit, University Hospital of Ferrara, Ferrara, Italy.

Naima Ortolan (N)

Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy.

Marta Frapoli (M)

Oncological Medical and Specialists Department, Oncology Unit, University Hospital of Ferrara, Ferrara, Italy.

Martina Rauso (M)

Oncological Medical and Specialists Department, Oncology Unit, University Hospital of Ferrara, Ferrara, Italy.

Paolo Artioli (P)

Nuclear Medicine Unit, Department of Medicine, DIMED University of Padua, Padua, Italy.

Corrado Cittanti (C)

Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy.

Licia Uccelli (L)

Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy.

Antonio Frassoldati (A)

Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Oncological Medical and Specialists Department, Oncology Unit, University Hospital of Ferrara, Ferrara, Italy.

Laura Evangelista (L)

Nuclear Medicine Unit, Department of Medicine, DIMED University of Padua, Padua, Italy.

Mirco Bartolomei (M)

Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy.

Classifications MeSH