Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

The National Cancer Imaging Translational Accelerator (NCITA) in partnership with the ReIMAGINE Consortium have announced the release of a unique clinical imaging dataset from the Prostate MRI Imaging Study (PROMIS)).

About the PROMIS study

PROMIS was a landmark multi-centre study funded by the National Institute for Health and Care Research (NIHR) that has reshaped the prostate cancer diagnostic pathway. The study assessed the accuracy of an imaging technique called multiparametric magnetic resonance imaging (mp-MRI) for diagnosing prostate cancer compared to a detailed biopsy procedure. A total of 576 men underwent a mp-MRI scan, followed by a systematic transrectal ultrasound (TRUS)-guided biopsy and a 5 mm transperineal template mapping (TPM) biopsy across the entire prostate. As the MRI scans were reported independently to the biopsy, all participants, underwent a full prostate biopsy, irrespective of the MRI result.

The results published in the Lancet showed that mp-MRI scan was highly accurate in detecting 93% of prostate cancers compared to 43% for the TRUS biopsy test. The mp-MRI scan was also shown to accurately identify about 25% of men who did not have prostate cancer and who might safely avoid having a biopsy.

Changes in international guidelines

These landmark results from the PROMIS study and a number of other high-profile studies including PRECISION (PRostate Evaluation for Clinically Important disease, Sampling using Image-guidance Or Not?) published in the New England Journal of Medicine have led to changes in international guidelines for prostate cancer care to reduce the proportion of men having unnecessary biopsies and improve the detection of clinically significant prostate cancer.

The 2019 UK National Institute for Health and Care Excellence (NICE) guidelines and the 2019 European Association of Urology guidelines now recommend that all men with a suspicion of prostate cancer receive a mp-MRI scan as an initial test prior to prostate biopsy. Both organisations also recommend considering avoiding a prostate biopsy in men with low clinical risk of prostate cancer who have a non-suspicious MRI, after an informed discussion with the patient.

Unique clinical imaging dataset for AI and machine learning research

The clinical imaging dataset from the PROMIS study includes data from 11 NHS hospital trusts across the UK, and comprises over 500 consecutive pre-biopsy mp-MRI scans paired with comprehensive template mapped biopsies of the prostate. This is an entirely unique dataset as it includes paired MRI scanning and template mapped biopsy of the entire prostate, including template biopsy validated negative MRI cases.

The dataset, which has been curated by the ReIMAGINE consortium at UCL, is now accessible to clinical researchers who are developing AI algorithms and machine learning tools for clinical application to speed up prostate cancer diagnosis.

Accessing the PROMIS study dataset

The curated PROMIS study imaging dataset is hosted by NCITA, a UK-wide clinical imaging research infrastructure funded by a 5-year Cancer Research UK Accelerator Award, of which Oxford is a member. NCITA provides a federated digital infrastructure for the secure storage and sharing of imaging data as well as data integration and analysis services using AI and machine learning tools.

 

The curated imaging dataset is now accessible to clinical researchers on an application basis to The ReIMAGINE PCa Risk Trial Management Group. For further details, please contact by email: ncita.general@ucl.ac.uk.

 

For more information about NCITA, visit the NCITA programme website.

Similar Stories

CRUK funding to investigate the molecular drivers of stomach cancer

Dr Francesco Boccellato wins a CRUK Early Detection and Diagnosis primer award to study tissue shape changes in the pre-cancerous stomach conditions, atrophic gastritis and intestinal metaplasia

Genetic mapping of tumours reveals how cancers grow

Researchers from the University of Oxford, KTH Royal Institute of Technology, Science for Life Laboratory, and the Karolinska Institutet, Solna, Sweden, have found that individual prostate tumours contain a previously unknown range of genetic variation.

First patient diagnosed earlier using liquid biopsy technology as part of the AI-REAL programme in sub-Saharan Africa

The AI-REAL programme led by Professor Anna Schuh and research teams in Tanzania and Uganda is improving the early detection and outcomes of childhood lymphoma in the region by increasing the speed and precision of diagnosis.