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

NCT07647445 — Not applicable, Not yet recruiting, 500 participants, University College, London

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A Study Assessing Whether Artificial Intelligence is Non-inferior to Radiologists in the Diagnosis of Clinically Significant Prostate Cancer.

RegistryNCT07647445, acronym PARADIGM
StatusNot yet recruiting
PhaseNot applicable
Study typeInterventional; na, single group, masking: single, diagnostic
Enrollment500 (Estimated)
SponsorUniversity College, London (Other); collaborators: Lucida Medical Ltd
ConditionsProstate CA
InterventionsAI (Lucida Pi) interpretation, Radiologist interpretation (Diagnostic test)
Datesstart 2026-10-01 (estimated), primary completion 2029-01-01 (estimated), completion 2029-01-01 (estimated), first posted 2026-06-15, last updated 2026-06-30

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-Summary

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.

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+Detailed description

Aim: To assess whether artificial intelligence is non-inferior to radiologists in the diagnosis of clinically significant prostate cancer on MRI.

Objectives

Primary

1\. To compare the proportion of men who have clinically significant prostate cancer detected on MRI using AI ± targeted biopsy with radiologists ± targeted biopsy.

Secondary

1. To compare the proportion of men who have clinically insignificant prostate cancer detected on MRI using AI ± targeted biopsy with radiologists ± targeted biopsy.
2. To compare the proportion of men with non-suspicious MRIs for AI vs radiologists.
3. To compare the proportion of men with indeterminately scored MRI as reported by AI vs radiologists.
4. To compare the diagnostic test performance of AI vs radiologist.
5. To compare the additive value of AI when used together with a radiologist interpretation (summative of all identified lesions) compared to a radiologist alone.
6. To compare the additive value of AI when used together with a radiologist interpretation (where the radiologist can interact with the AI system by accepting or rejecting AI-identified lesions) compared to a radiologist alone.
7. To determine the frequency of AI failures.
8. To compare treatment eligibility decisions between AI and Radiologist.
9. To compare the cost-effectiveness of unblinded AI interpreted by the radiologist compared to radiologist alone for prostate cancer detection, and AI alone vs. radiologist alone, and a 3-arm analysis considering all three.

Design:

Prospective, international, within-patient, multi-centre, level-1 evidence trial in participants referred to hospital with a clinical suspicion of prostate cancer.

+Arms and interventions

ArmTypeInterventionsDescription
Radiologist interpretation of MRI +/- prostate biopsyActive comparatorDiagnostic Test: Radiologist interpretationRadiologist Interpretation
AI interpretation of MRI +/- prostate biopsyExperimentalDiagnostic Test: AI (Lucida Pi) interpretationAI Interpretation
  • 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)

+Outcome measures

Primary outcomes

  • Proportion of men with clinically significant cancer [When biopsy results available, at an expected average of 30 days post-biopsy]: 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).

Secondary outcomes

  • Proportion of men with clinically insignificant cancer [When biopsy results available, at an expected average of 30 days post-biopsy]: Proportion of men with clinically insignificant cancer detected (Gleason grade 3+3/Gleason grade group 1).
  • Proportion of men with non-suspicious MRIs [When MRI results available, at an expected average of 30 days post-MRI]: Proportion of men with non-suspicious MRIs for AI vs Radiologists
  • Proportion of MRIs with indeterminate scores. [When MRI results available, at an expected average of 30 days post-MRI]: Proportion of men with indeterminately scored MRI as reported by AI vs radiologists
  • Agreement between AI and Radiologist in score of suspicion [When MRI results available, at an expected average of 30 days post-MRI]: Compare the proportion of MRIs with concordant scores between AI and Radiologist in score of suspicion
  • Diagnostic test performance characteristics (AI versus Radiologist) [When biopsy results available, at an expected average of 30 days post-biopsy]: Test performance characteristics for AI and Radiologists, including sensitivity, specificity, area under the receive operating characteristic curve, positive predictive value and negative predictive value.
  • Diagnostic test performance characteristics (AI plus Radiologist) [When biopsy results available, at an expected average of 30 days post-biopsy]: Test performance characteristics of AI in combination with Radiologist (summative of all identified lesions) compared to a radiologist alone, including sensitivity, specificity, area under the receive operating characteristic curve, positive predictive value and negative predictive value.
  • Diagnostic test performance characteristics (AI-assisted Radiologist) [When biopsy results available, at an expected average of 30 days post-biopsy]: Test performance characteristics of AI in combination with Radiologist (where the radiologist can interact with the AI system by accepting or rejecting AI-identified lesions) compared to a radiologist alone, including sensitivity, specificity, area under the receive operating characteristic curve, positive predictive value and negative predictive value.
  • Significant cancer detected by peri-lesional biopsies [When biopsy results available, at an expected average of 30 days post-biopsy]: Proportion of patients with significant cancer detected taking into account peri-lesional biopsies of AI and Radiologist declared lesions.
  • Significant cancer detected by systematic biopsies [When biopsy results available, at an expected average of 30 days post-biopsy]: Proportion of patients with significant cancer detected by systematic biopsies
  • Frequency of AI failures [When MRI results available, at an expected average of 30 days post-MRI]: Proportion of patients where AI was unable to interpret the MRI scan
  • Treatment eligibility decisions [When biopsy results available, at an expected average of 30 days post-biopsy]: Proportion of patients where treatment eligibility changed between AI and Radiologist
  • Cost-efffectiveness [At an expected average of 30 days post-intervention]: Cost-effectiveness of unblinded AI interpreted by the radiologist compared to radiologist alone in detecting significant prostate cancer, and AI alone vs. radiologist alone, and a 3-arm analysis considering all three.

+Eligibility

Sex: Male, ages: 18 Years to any

Inclusion Criteria:

1. Men at least 18 years of age referred with clinical suspicion of prostate cancer
2. Serum PSA ≤ 20 ng/mL
3. Fit to undergo all procedures listed in the protocol
4. Able to provide written informed consent

Exclusion Criteria:

1. Prior prostate biopsy
2. Prior prostate MRI on a previous encounter*
3. Prior treatment for prostate cancer
4. Contraindication to MRI (e.g. claustrophobia, pacemaker)
5. Metalwork that would give rise to artefact on MRI (e.g. hip prosthesis, pelvic/spinal metalwork)
6. Contraindication to prostate biopsy
7. Unfit to undergo any procedures listed in protocol

   * An MRI on a previous encounter means a previous prostate MRI which has been seen by a doctor and has been used to inform patient management at the time of the original MRI.

+Investigators

My Notes