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Brief Title: Learning MRI and Histology Image Mappings for Cancer Diagnosis and Prognosis.
Official Title: Learning MRI and Histology Image Mappings for Cancer Diagnosis and Prognosis
Study ID: NCT04792138
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.
Detailed Description:
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: MALE
Healthy Volunteers: No
University College London Hospital, London, , United Kingdom
Name: Shonit Punwani
Affiliation: University College, London
Role: PRINCIPAL_INVESTIGATOR