|Coordinatore||UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
|Nazionalità Coordinatore||Ireland [IE]|
|Totale costo||1˙948˙327 €|
|EC contributo||1˙948˙327 €|
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
|Anno di inizio||2011|
|Periodo (anno-mese-giorno)||2011-11-01 - 2015-10-31|
UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
address: Weston Park 76
|IE (DUBLIN 14)||participant||534˙359.00|
I-PATH DIAGNOSTICS LIMITED
address: INNOVATION CENTRE UNIT 2 NI SCIENCE
address: SANKT OLOFSGATAN 10 B
QUEEN'S UNIVERSITY BELFAST
address: University Road
address: Paradisgatan 5c
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'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.'
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.
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 http://www.fastpathproject.com (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.