Learning MRI and Histology Image Mappings for Cancer Diagnosis and Prognosis.
NCT ID: NCT04792138
Last Updated: 2021-03-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2020-10-23
2023-10-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Men suspected of Prostate Cancer
VERDICT MRI
Advanced Diffusion Model
Luminal Index Imaging
Advanced T2 mapping
Interventions
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VERDICT MRI
Advanced Diffusion Model
Luminal Index Imaging
Advanced T2 mapping
Eligibility Criteria
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Inclusion Criteria
* No contraindication to MRI
Exclusion Criteria
* Men unable to given informed consent
* Previous treatment (prostatectomy, radiotherapy, brachytherapy) of prostate cancer
* Ongoing hormonal treatment for prostate cancer
18 Years
90 Years
MALE
No
Sponsors
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University College, London
OTHER
Responsible Party
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Principal Investigators
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Shonit Punwani
Role: PRINCIPAL_INVESTIGATOR
University College, London
Locations
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University College London Hospital
London, , United Kingdom
Countries
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Central Contacts
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Facility Contacts
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References
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Singh S, Mathew M, Mertzanidou T, Suman S, Clemente J, Retter A, Papoutsaki MV, Smith L, Grussu F, Kasivisvanathan V, Grey A, Dinneen E, Shaw G, Carter M, Patel D, Moore CM, Atkinson D, Panagiotaki E, Haider A, Freeman A, Alexander D, Punwani S. Histo-MRI map study protocol: a prospective cohort study mapping MRI to histology for biomarker validation and prediction of prostate cancer. BMJ Open. 2022 Apr 8;12(4):e059847. doi: 10.1136/bmjopen-2021-059847.
Other Identifiers
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251440
Identifier Type: -
Identifier Source: org_study_id
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