The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer

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. M...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Aida Santaolalla, Tim Hulsen, Jenson Davis, Hashim U. Ahmed, Caroline M. Moore, Shonit Punwani, Gert Attard, Neil McCartan, Mark Emberton, Anthony Coolen, Mieke Van Hemelrijck
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://doaj.org/article/558a9d5bd1d349c78ec70ece4a74dcf3
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:558a9d5bd1d349c78ec70ece4a74dcf3
record_format dspace
spelling oai:doaj.org-article:558a9d5bd1d349c78ec70ece4a74dcf32021-11-16T17:37:04ZThe ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer2624-821210.3389/frai.2021.769582https://doaj.org/article/558a9d5bd1d349c78ec70ece4a74dcf32021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/frai.2021.769582/fullhttps://doaj.org/toc/2624-8212Introduction. 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.Aida SantaolallaTim HulsenJenson DavisHashim U. AhmedCaroline M. MooreShonit PunwaniGert AttardNeil McCartanMark EmbertonAnthony CoolenAnthony CoolenMieke Van HemelrijckFrontiers Media S.A.articleprostate cancerrisk stratificationartificial intelligencedata warehousedatabasedata managementElectronic computers. Computer scienceQA75.5-76.95ENFrontiers in Artificial Intelligence, Vol 4 (2021)
institution DOAJ
collection DOAJ
language EN
topic prostate cancer
risk stratification
artificial intelligence
data warehouse
database
data management
Electronic computers. Computer science
QA75.5-76.95
spellingShingle prostate cancer
risk stratification
artificial intelligence
data warehouse
database
data management
Electronic computers. Computer science
QA75.5-76.95
Aida Santaolalla
Tim Hulsen
Jenson Davis
Hashim U. Ahmed
Caroline M. Moore
Shonit Punwani
Gert Attard
Neil McCartan
Mark Emberton
Anthony Coolen
Anthony Coolen
Mieke Van Hemelrijck
The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
description 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.
format article
author Aida Santaolalla
Tim Hulsen
Jenson Davis
Hashim U. Ahmed
Caroline M. Moore
Shonit Punwani
Gert Attard
Neil McCartan
Mark Emberton
Anthony Coolen
Anthony Coolen
Mieke Van Hemelrijck
author_facet Aida Santaolalla
Tim Hulsen
Jenson Davis
Hashim U. Ahmed
Caroline M. Moore
Shonit Punwani
Gert Attard
Neil McCartan
Mark Emberton
Anthony Coolen
Anthony Coolen
Mieke Van Hemelrijck
author_sort Aida Santaolalla
title The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
title_short The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
title_full The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
title_fullStr The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
title_full_unstemmed The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
title_sort reimagine multimodal warehouse: using artificial intelligence for accurate risk stratification of prostate cancer
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/558a9d5bd1d349c78ec70ece4a74dcf3
work_keys_str_mv AT aidasantaolalla thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT timhulsen thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT jensondavis thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT hashimuahmed thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT carolinemmoore thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT shonitpunwani thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT gertattard thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT neilmccartan thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT markemberton thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT anthonycoolen thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT anthonycoolen thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT miekevanhemelrijck thereimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT aidasantaolalla reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT timhulsen reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT jensondavis reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT hashimuahmed reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT carolinemmoore reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT shonitpunwani reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT gertattard reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT neilmccartan reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT markemberton reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT anthonycoolen reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT anthonycoolen reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
AT miekevanhemelrijck reimaginemultimodalwarehouseusingartificialintelligenceforaccurateriskstratificationofprostatecancer
_version_ 1718426301903142912