Histo-MRI: Learning MRI and Histology Image Mappings for Cancer Diagnosis and Prognosis.

Sponsor
University College, London (Other)
Overall Status
Recruiting
CT.gov ID
NCT04792138
Collaborator
(none)
300
1
35.3
8.5

Study Details

Study Description

Brief Summary

Multiparametric magnetic resonance imaging (mpMRI) is now widely used to risk stratify men with a suspicion of prostate cancer and identify suspicious regions for biopsy. Advanced MRI techniques have emerged which seek to improve this characterisation and could predict biopsy results non-invasively before men undergo biopsy. Before these techniques are translated clinically, robust histological and clinical validation is required.

This study aims to clinically validate advanced MRI techniques in a cohort of men suspected with prostate cancer. Histological analysis of men undergoing biopsy, +/- prostatectomy will be used for biological validation of VERDICT; Vascular and Extracellular Restricted Diffusion for Cytometry in Tumours and Luminal Water imaging (LWI). In particular, prostatectomy specimens will be processed using 3-D printed patient-specific moulds to allow for accurate MRI and histology mapping.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: VERDICT MRI
  • Diagnostic Test: Luminal Index Imaging

Study Design

Study Type:
Observational
Anticipated Enrollment :
300 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Learning MRI and Histology Image Mappings for Cancer Diagnosis and Prognosis
Actual Study Start Date :
Oct 23, 2020
Anticipated Primary Completion Date :
Oct 1, 2022
Anticipated Study Completion Date :
Oct 1, 2023

Arms and Interventions

Arm Intervention/Treatment
Men suspected of Prostate Cancer

Diagnostic Test: VERDICT MRI
Advanced Diffusion Model

Diagnostic Test: Luminal Index Imaging
Advanced T2 mapping

Outcome Measures

Primary Outcome Measures

  1. Diagnostic accuracy of VERDICT MRI [2 years]

    Quantitative assessment of VERDICT MRI reduces false positives by 10% compared to standard MRI alone

  2. Diagnostic accuracy of Luminal Water Imaging (LWI) [2 years]

    Quantitative assessment of LWI reduces false positives by 10% compared to standard MRI alone

Secondary Outcome Measures

  1. The proportions of true positives with index tests is the same as mpMRI. [2 years]

Other Outcome Measures

  1. Machine learning algorithms can predict histology from MRI. [3 years]

    Number of correct predictions of gleason grade in men who undergo biopsy or prostatectomy.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 90 Years
Sexes Eligible for Study:
Male
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Men aged 18-90 with a clinical suspicion of prostate cancer

  • No contraindication to MRI

Exclusion Criteria

  • Men unable to have a MRI scan, or in whom artefact would reduce quality of MRI

  • Men unable to given informed consent

  • Previous treatment (prostatectomy, radiotherapy, brachytherapy) of prostate cancer

  • Ongoing hormonal treatment for prostate cancer

Contacts and Locations

Locations

Site City State Country Postal Code
1 University College London Hospital London United Kingdom

Sponsors and Collaborators

  • University College, London

Investigators

  • Principal Investigator: Shonit Punwani, University College, London

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
University College, London
ClinicalTrials.gov Identifier:
NCT04792138
Other Study ID Numbers:
  • 251440
First Posted:
Mar 10, 2021
Last Update Posted:
Mar 10, 2021
Last Verified:
Mar 1, 2021
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Mar 10, 2021