Abstract

Introduction. Prostate cancer (PCa) is the most frequent cancer diagnosis in men worldwide. Our ability to identify those men whose cancer will decrease their lifespan and/or quality of life remains poor. The ReIMAGINE Consortium has been established to improve PCa diagnosis. Materials and methods. MRI will likely become the future cornerstone of the risk-stratification process for men at risk of early prostate cancer. We will, for the first time, be able to combine the underlying molecular changes in PCa with the state-of-the-art imaging. ReIMAGINE Screening invites men for MRI and PSA evaluation. ReIMAGINE Risk includes men at risk of prostate cancer based on MRI, and includes biomarker testing. Results. Baseline clinical information, genomics, blood, urine, fresh prostate tissue samples, digital pathology and radiomics data will be analysed. Data will be de-identified, stored with correlated mpMRI disease endotypes and linked with long term follow-up outcomes in an instance of the Philips Clinical Data Lake, consisting of cloud-based software. The ReIMAGINE platform includes application programming interfaces and a user interface that allows users to browse data, select cohorts, manage users and access rights, query data, and more. Connection to analytics tools such as Python allows statistical and stratification method pipelines to run profiling regression analyses. Discussion. The ReIMAGINE Multimodal Warehouse comprises a unique data source for PCa research, to improve risk stratification for PCa and inform clinical practice. The de-identified dataset characterized by clinical, imaging, genomics and digital pathology PCa patient phenotypes will be a valuable resource for the scientific and medical community.

Highlights

  • Prostate cancer (PCa) is the most frequent cancer diagnosis in men worldwide

  • The manuscript is structured in the following order: in the materials and methods section, we describe how the ReIMAGINE project is setup, how we have created the ReIMAGINE Multimodal Warehouse and how AI tools are being developed on top of this warehouse

  • The ReIMAGINE Prostate Cancer Screening Study (NCT04063566) (Marsden et al, 2021b), PubMed ID 34593491 established a screening cohort which tests the performance of bpMRI in a randomly invited general practitioner (GP) population: 300 men, between the ages of 50–75 years, with no previous PCa diagnosis

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Summary

Introduction

Prostate cancer (PCa) is the most frequent cancer diagnosis in men worldwide. Our ability to identify those men whose cancer will decrease their lifespan and/or quality of life remains poor. Our ability to identify those men whose cancer will decrease their lifespan and/or quality of life remains poor (Bangma et al, 2007). The established diagnostic pathway for prostate cancer consists of PSA screening followed by diagnostic biopsy which presents high rates of over-diagnosis (1.7–67%), over-treatment, missed diagnoses, and poor risk-stratification (Loeb et al, 2014). These errors result in the application of treatments that have little or no benefit, the reduction of the quality of life of patients, and the inefficient use of valuable healthcare resources (Klotz, 2013). Prostate Cancer risk assessment tools to discriminate those men at lowest risk from those at highest risk of aggressive disease at diagnosis are necessary to improve patient outcomes and quality of life

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