Optimising Radiomics for MRI-based personalised cancer treatment

Projektinformationen

REACT

ID Finanzhilfevereinbarung: 739738

DOI

10.3030/739738

Projekt abgeschlossen

EK-Unterschriftsdatum 17 August 2017

Startdatum 17 November 2017

Enddatum 16 November 2018

Finanziert unter

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Gesamtkosten

€ 147 212,50

EU-Beitrag

€ 147 212,50

Koordiniert durch

PT THERAGNOSTIC BV
Netherlands

Periodic Reporting for period 1 - REACT (Optimising Radiomics for MRI-based personalised cancer treatment)

Berichtszeitraum: 2017-11-17 bis 2018-11-16

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

Although cancer survival rates have substantially improved in recent years, cancer is still among the leading causes of morbidity and mortality worldwide. The future of cancer treatment lies in early and better diagnosis and individually tailored treatments (‘personalised medicine). The REACT project developed a breakthrough AI solution, Radiomics is a quantitative image analysis technology that enables improved patient stratification through the use of routinely acquired images. This supports improved clinical decision making and leads to better patient outcomes.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

Radiomics is based on the evolution of thousands of image-derived features over the course of treatment, Radiomics allows for more sensitive and robust identification of tumour types than currently possible. As MRI is recognised as one of the most promising techniques for the detection of cancer and spread of the disease, the REACT project aligned Radiomics with MRI, making analysis feasible across multiple centres and vendors while reducing variability by applying standardized protocols. This result delivers reliable high-quality quantifiable MRI feature analyses, for correlation with the underlying pathology, and for future decision support models. This is being exploited by the production of radiomics based clinical decision support systems for use in routine clinical care. Dissemination is achieved via our website promoting the REACT project.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

The REACT project brought to bear advanced AI techniques such as Deep Learning to progress beyond the state of the art with respect to MRI use in oncology. This results in improved clinical decision making which leads to better individual patient outcomes and a more effective, efficient, and economic health service for the population.

Radiomics poster

The workflow from image to decision support