Fast-Tracking Pathology via Automated Image Analysis and High-Performance Computing: Application to Prostate Cancer Diagnostics


 Organization address address: BELFIELD
city: DUBLIN
postcode: 4

contact info
Titolo: Mr.
Nome: Donal
Cognome: Doolan
Email: send email
Telefono: +353 1 7161656
Fax: +353 1 7161216

 Nazionalità Coordinatore Ireland [IE]
 Totale costo 1˙948˙327 €
 EC contributo 1˙948˙327 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2011-IAPP
 Funding Scheme MC-IAPP
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-11-01   -   2015-10-31


# participant  country  role  EC contrib. [€] 

 Organization address address: BELFIELD
city: DUBLIN
postcode: 4

contact info
Titolo: Mr.
Nome: Donal
Cognome: Doolan
Email: send email
Telefono: +353 1 7161656
Fax: +353 1 7161216

IE (DUBLIN) coordinator 357˙432.00
2    OncoMark Limited

 Organization address address: Weston Park 76
city: DUBLIN 14
postcode: -

contact info
Titolo: Dr.
Nome: Mairin
Cognome: Rafferty
Email: send email
Telefono: +353 1 7163666
Fax: +353 1 716 3709

IE (DUBLIN 14) participant 534˙359.00

 Organization address address: INNOVATION CENTRE UNIT 2 NI SCIENCE
city: Belfast
postcode: BT3 9DT

contact info
Titolo: Mr.
Nome: Ian
Cognome: Cargill
Email: send email
Telefono: +44 2890660211

UK (Belfast) participant 365˙396.00

 Organization address address: SANKT OLOFSGATAN 10 B
postcode: 751 05

contact info
Titolo: Prof.
Nome: Fredrik
Cognome: Ponten
Email: send email
Telefono: +46 18 6113846
Fax: 4618552739

SE (UPPSALA) participant 259˙160.00

 Organization address address: University Road
postcode: BT7 1NN

contact info
Titolo: Ms.
Nome: Colleen
Cognome: Spence
Email: send email
Telefono: +44 289097 5183

UK (BELFAST) participant 222˙034.00

 Organization address address: Paradisgatan 5c
city: LUND
postcode: 22100

contact info
Titolo: Mr.
Nome: Lennart
Cognome: Råstam
Email: send email
Telefono: +46 40 39 13 17
Fax: +46 40 39 13 70

SE (LUND) participant 209˙946.00


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

path    sectors    pathology    intensive    tissue    mining    web    cancer    performance    industrial    discovery    multiple    libraries    interface    academic    image    slides    inter    annotation    related    immunohistochemistry    data    computing    rapid    grading    histopathology    standardisation    diagnosis    speed    prostate    tools    digital    biomarkers    requirement    labour    fast    technique    manual    workflow    streamline    accuracy    automated    integration    throughput    solutions    annotations   

 Obiettivo del progetto (Objective)

'Histopathology has traditionally been a low-throughput, labour-intensive technique. Conventional manual annotation of tissue slides requires a pathologist to examine the tissue and cellular components to grade the level of disease progression. However, digital pathology and automated digital image analysis solutions can provide a more rapid solution. In recent years, there has been a rapid uptake of digital pathology in both the academic and industrial sectors, each creating large image libraries with related manual and automated annotations, all stored on local systems. There is now a requirement to streamline this process and to provide a comprehensive set of tools for data integration and mining of this valuable, but often not fully exploited, information. There is also a need for inter-lab standardisation and the development of high-performance computing approaches to enable integration of multiple libraries and knowledge discovery. The FAST-PATH project will address these key issues to maximise the capabilities of the digital pathology workflow. Specifically, FAST-PATH will develop a set of tools, available through a web-based interface, to address the standardisation, integration and knowledge discovery of high-throughput digital pathology libraries and related manual annotations. We will focus on integration of oncology-based data generated from the academic and industrial partners involved, with a particular emphasis on prostate cancer. This inter-sectoral study will also involve validation of novel prognostic biomarkers via automated analysis of immunohistochemical images. Importantly, FAST-PATH will bring together 4 major European academic institutes and 2 SME partners with the central aim of streamlining digital pathology via the development of data standardisation, integration and discovery tools.'

Introduzione (Teaser)

Prostate cancer is the second most common cancer in men. Realising high-throughput image analysis solutions for prostate cancer should improve the overall accuracy and speed of diagnosis.

Descrizione progetto (Article)

Histopathology has traditionally been the method of choice for the diagnosis and grading of different types of cancer. However, it is a labour-intensive and low-throughput technique that relies on the subjective annotation of numerous tissue slides.

Faster alternatives are therefore needed and are emerging in the form of digital image analyses. A combination of manual and digital annotations has led to the creation of image libraries in various academic and industrial sectors around the globe.

To fully exploit the speed of digital analysis in cancer diagnosis, there is an urgent requirement to streamline the process and to provide a comprehensive set of tools for data integration and mining. High-performance computing tools should enable the integration of multiple libraries and exploitation of existing knowledge.

In this context, the EU-funded (FAST-PATH) project will develop tools to enable digital pathology workflow. Using a web-based interface, the consortium will integrate digital pathology resources and related manual annotations.

Currently, the criteria for discriminating between potentially lethal tumours and non-aggressive cancer are not very clear. Although the Gleason grading system is used as an indication of cancer aggressiveness, it is a time-consuming process. Detection of the prostate-specific antigen has revolutionised prostate cancer screening, but is now associated with over-treatment.

To address these shortcomings and improve and speed up prostate cancer diagnosis, FAST-PATH will use multiplex immunohistochemistry biomarkers. In close collaboration with industrial partners, researchers have set out to develop and validate novel prostate biomarkers, alongside computational solutions for the fast and quantitative analysis of immunohistochemistry data.

The proposed automated and high-performance technologies focus on key aspects of prostate cancer pathology. Combining them under the FAST-PATH workflow should considerably improve the accuracy of prostate diagnosis, avoid unnecessary treatments and decrease cancer-related mortality.

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