Prostate MRI Analysis by Radiologists and Artificial Intelligence - Disease Identification and Guided Management

ConditionProstate CA
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexMale
Age18+
SponsorUniversity College, London

About this trial

Prostate cancer is the most common male cancer in 112 countries and makes up 7% of global cancer cases, and is the second leading cause of cancer-related deaths in men.

Normally, men with suspected prostate cancer undergo a prostate MRI, and then a Radiologist would review this scan to identify any suspicious areas for cancer within the prostate. Prostate MRI interpretation, however, is an expert skill with a steep learning curve, and internationally, there is a growing shortage of Radiologists.

The PARADIGM trial aims to assess if AI can perform just as well as Radiologists in interpreting prostate MRI scans to identify prostate cancer. Enrolled participants will undergo a prostate MRI, which is the normal method used for investigating suspected prostate cancer. AI and a Radiologist will both interpret the MRI, without knowledge of each other's interpretation. Once both reports have been made, the Radiologist will be asked to produce a third, combined report.

If there is a suspicious area in the prostate identified either by AI or the Radiologist, targeted biopsies will be performed. If there are no suspicious areas on the MRI and if you are at low risk of harbouring cancer, which occurs in about 30% of men, then no biopsy will be taken at all.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Men at least 18 years of age referred with clinical suspicion of prostate cancer

Serum PSA ≤ 20 ng/mL

Fit to undergo all procedures listed in the protocol

Able to provide written informed consent

Disqualifiers

Prior prostate biopsy

Prior prostate MRI on a previous encounter*

Prior treatment for prostate cancer

Contraindication to MRI (e.g. claustrophobia, pacemaker)

Trial design

Design model

Single group

Treatments tested in this trial

  • AI (Lucida Pi) interpretation

    Diagnostic test

    AI algorithm that will interpretate the prostate MRI

  • Radiologist interpretation

    Diagnostic test

    Radiologist will interpret the prostate MRI (as per standard of care)

Treatment groups

500 Participants
are divided into 2 treatment groups
Group A: Radiologist interpretation of MRI +/- prostate biopsyActive comparator 1 intervention
Group B: AI interpretation of MRI +/- prostate biopsyExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Proportion of men with clinically significant cancer

Proportion of men with clinically significant cancer detected (any pattern 4 disease on any core (i.e. Gleason Grade ≥ 3+4/Gleason grade group ≥2).

Time frame
When biopsy results available, at an expected average of 30 days post-biopsy

Secondary outcomes

1

Proportion of men with clinically insignificant cancer

Proportion of men with clinically insignificant cancer detected (Gleason grade 3+3/Gleason grade group 1).

Time frame
When biopsy results available, at an expected average of 30 days post-biopsy
2

Proportion of men with non-suspicious MRIs

Proportion of men with non-suspicious MRIs for AI vs Radiologists

Time frame
When MRI results available, at an expected average of 30 days post-MRI
3

Proportion of MRIs with indeterminate scores.

Proportion of men with indeterminately scored MRI as reported by AI vs radiologists

Time frame
When MRI results available, at an expected average of 30 days post-MRI
4

Agreement between AI and Radiologist in score of suspicion

Compare the proportion of MRIs with concordant scores between AI and Radiologist in score of suspicion

Time frame
When MRI results available, at an expected average of 30 days post-MRI

Other outcomes

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University College, London

Lead sponsor

Lucida Medical Ltd

Collaborator

This trial is not recruiting at the moment. You can still explore other options: