A multicentre parallel-group randomised trial assessing multiparametric MRI characterisation and image-guided biopsy of prostate in men suspected of having prostate cancer: MULTIPROS study protocol.


Journal

Trials
ISSN: 1745-6215
Titre abrégé: Trials
Pays: England
ID NLM: 101263253

Informations de publication

Date de publication:
21 Nov 2019
Historique:
received: 28 07 2019
accepted: 23 09 2019
entrez: 23 11 2019
pubmed: 23 11 2019
medline: 18 6 2020
Statut: epublish

Résumé

There is growing evidence suggesting that multiparametric magnetic resonance imaging (mpMRI) is a marker for prostate cancer (PCa) aggressiveness and could be used to plan treatment. Improving early detection of clinically significant PCa with pre-biopsy mpMRI would very likely have advantages including optimising the diagnosis and treatment of diseases and diminishing patient anxiety. This is a prospective multicentre study of pre-biopsy mpMRI diagnostic test accuracy with subgroup randomisation at a 1:1 ratio with respect to transrectal ultrasound (TRUS) and MRI/US fusion-guided biopsy or TRUS-only biopsy. It is designed as a single-gate study with a single set of inclusion criteria. The total duration of the recruitment phase was 48 months; however, this has now been extended to 66 months. A sample size of 600 participants is required. The primary objective is to determine whether mpMRI can improve PCa detection and characterisation. The key secondary objective is to determine whether MRI/US fusion-guided biopsy can reduce the number of false-negative biopsies. Ethical approval was obtained from the East of Scotland Research Ethics Committee 1 (14/ES/1070) on 20 November 2014. The results of this study will be used for publication and presentation in national and international journals and at scientific conferences. ClinicalTrials.gov, NCT02745496. Retrospectively registered on 20 April 2016.

Sections du résumé

BACKGROUND BACKGROUND
There is growing evidence suggesting that multiparametric magnetic resonance imaging (mpMRI) is a marker for prostate cancer (PCa) aggressiveness and could be used to plan treatment. Improving early detection of clinically significant PCa with pre-biopsy mpMRI would very likely have advantages including optimising the diagnosis and treatment of diseases and diminishing patient anxiety.
METHODS AND MATERIALS METHODS
This is a prospective multicentre study of pre-biopsy mpMRI diagnostic test accuracy with subgroup randomisation at a 1:1 ratio with respect to transrectal ultrasound (TRUS) and MRI/US fusion-guided biopsy or TRUS-only biopsy. It is designed as a single-gate study with a single set of inclusion criteria. The total duration of the recruitment phase was 48 months; however, this has now been extended to 66 months. A sample size of 600 participants is required.
DISCUSSION CONCLUSIONS
The primary objective is to determine whether mpMRI can improve PCa detection and characterisation. The key secondary objective is to determine whether MRI/US fusion-guided biopsy can reduce the number of false-negative biopsies. Ethical approval was obtained from the East of Scotland Research Ethics Committee 1 (14/ES/1070) on 20 November 2014. The results of this study will be used for publication and presentation in national and international journals and at scientific conferences.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov, NCT02745496. Retrospectively registered on 20 April 2016.

Identifiants

pubmed: 31752954
doi: 10.1186/s13063-019-3746-0
pii: 10.1186/s13063-019-3746-0
pmc: PMC6868804
doi:

Banques de données

ClinicalTrials.gov
['NCT02745496']

Types de publication

Clinical Trial Protocol Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

638

Subventions

Organisme : Prostate Cancer UK
ID : CSO-PG13-005
Pays : United Kingdom

Références

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Auteurs

Magdalena Szewczyk-Bieda (M)

Department of Clinical Radiology, Ninewells Hospital, Dundee, DD1 9SY, UK.

Cheng Wei (C)

Division of Imaging Science and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.

Katherine Coll (K)

Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.

Stephen Gandy (S)

Department of Medical Physics, Ninewells Hospital, Dundee, DD1 9SY, UK.

Peter Donnan (P)

Division of Population Health Genomics, University of Dundee, Dundee, DD2 4BF, UK.

Senthil Kumar Arcot Ragupathy (SKA)

Department of Clinical Radiology, Aberdeen Royal Infirmary, Aberdeen, AB25 2ZN, UK.

Paras Singh (P)

Royal Free London NHS Foundation Trust, Royal Free Hospital, London, NW3 2QG, UK.

Jennifer Wilson (J)

Department of Clinical Pathology, Ninewells Hospital, Dundee, DD1 9SY, UK.

Ghulam Nabi (G)

Division of Imaging Science and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK. g.nabi@dundee.ac.uk.

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Classifications MeSH