TBICare : Evidence based Diagnostic and Treatment Planning Solution for Traumatic Brain Injuries

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Traumatic brain injury (TBI) occurs when a sudden trauma causes damage to the brain it is a major health problem and the most common cause of permanent disability in people under the age of 40 years. Yearly cost from TBI in Europe exceeds 100 billion Euros. Recent statistics show a steep increase in the incidence of TBIs, with an increase of 21 % over the last five years threefold greater than the rate of increase in population. Despite this TBI has been seriously underrepresented in medical R&D efforts compared to many other, less significant health problems.

TBIcare project provides such an objective and evidence-based solution for management of TBI by improving diagnostics and treatment decisions for an individual patient. A strictly evidence-based approach realises the objectives of developing: 1) a methodology for finding efficient combinations of multi-modal biomarkers used in statistical models to objectively diagnose and assess an individual TBI patient, and 2) a simulation model for objectively predicting outcome of the planned treatment of an individual TBI patient. These objectives are supplemented by realization of: a software solution to be used in daily practice to diagnose and plan treatments; new approaches for extracting information from multi-source and multi-scale physiological databases for management of an extremely heterogeneous disease; and innovative data quantification methods for the clinical TBI environment. Thus, TBIcare transfers the scientific Virtual Physiological Human (VPH) concepts to clinical practice.
TBIcare has impacts for healthcare professionals by improving the healthcare process and increasing medical knowledge; for the patients and their nearest by increased quality adjusted life years; for society it brings reduction in healthcare costs and losses due to working disability, and for the European industry it brings an impetus to increased global competitiveness by providing immediately exploitable innovative methods.

Coordinator: TEKNOLOGIAN TUTKIMUSKESKUS VTT, FINLAND

Partners:

Kaunas University of Technology is involved in nineteen FP7 projects in the 2010. KTU Telematics Scientific Laboratory, headed by Arminas Ragauskas, Prof., DSc, FBC, FLSHD is the Lithuanian coordinating centre of international Brain+Information Technology (BrainIT) group. The recent trials conducted by this centre (EC QLGC – 2002 – 00160, Raumedic ICP pressure sensor study, Non-invasive cerebrovascular autoregulation real time monitoring study, Non-invasive intracraniospinal compliance study, Non-invasive absolute ICP value measurement accuracy study, etc.) confirm that this centre is experienced in the clinical assessment of a innovative TBI diagnosing, monitoring and treatment technologies.

The Acute Brain Injury Program at the University of Cambridge involves scientists from the Wolfson Brain Imaging Centre (WBIC), and clinical academics, and is co-chaired by Prof. David Menon (Professor of Anaesthesia) and Prof. JD Pickard (Professor of Neurosurgery).  Other key investigators in the TBI program include Peter Hutchinson (Reader in Neurosurgery) and Jonathan Coles (Lecturer in Anaesthesia). The WBIC provides high field MR and PET in a unique context, adjacent to a state-of-the art neurocritical care unit.  Our research is supported by the National Institute for Health Research, Wellcome Trust, Medical Research Council, Academy of Medical Sciences, and the Royal College of Anaesthetists, and addresses acute and chronic TBI, coma, anaesthesia and the vegetative state.

VTT Technical Research Centre of Finland is a globally networked multitechnological contract research organization. VTT provides high-end technology solutions and innovation services. We enhance our customers’ competitiveness, thereby creating prerequisites for society’s sustainable development, employment, and wellbeing.
VTT has a strong tradition in research on ICT for wellness and healthcare. Our core competence includes: Biosignal and image processing; Personal Health Systems; eHealth/mHealth technologies; Systems Biology and Metabolomics; Bioinformatics and System analysis. Biosignal and medical image processing and interpretation is one of our key competencies. There we combine top-level technical expertise in the fields of signal processing, image processing, statistics, data-mining and pattern recognition with the understanding of healthcare-domain specific challenges to create solutions, simply for a better life.

Medical Diagnostics (MDx) is a business unit within GE Healthcare Ltd. developing diagnostic imaging agents for CT, MR, SPECT and PET. These are used in medical scanning procedures to highlight organs, tissues and cells inside the human body, for the early detection, diagnosis and management of disease. Image analysis software, tailored to meet the specific needs of each imaging agent, is an increasingly important area. Responsibility for developing software to support GEHC’s imaging agents lies within the Image Processing & Software team within Medical Diagnostics R&D.
MDx R&D has offices in Amersham UK and in Princeton and the overall business unit is part of GE Healthcare Ltd UK. The team in Uppsala reports directly into MDx R&D UK and this is the reason why the legal entity is GEHC UK. It should also be noted that MDx R&D UK are studying the use of PET agents in TBI and although the PET data analysis will be done in Uppsala, the work will be done in close collaboration with the team in the UK.

The University of Turku (UTU) is an internationally acknowledged, multidisciplinary scientific university located on the Southwest coast of Finland. Medical research and clinical work are being accomplished by the Faculty of Medicine and the TUCH, which is owned by the university and a municipal federation. The population base of the TUCH area amounts to about 460 000, and the Hospital District provides specialized health care services with a total capacity of 1600 patients.
There are about 6300 held vacancies within the Hospital District. The care of TBI patients is currently at the response of the Department of Neurosurgery, but is being transferred to be under the responsibility of a special multidisciplinary TBI-track during 2011 – 12, with the operative start of the new T-hospital. This TBI-track will be managed by a very advanced and innovative expert organization, the Finnish Brain Injury Research and Development Centre, consisting from a group of TBI-experts from various specialties and taking comprehensive care of all TBI subjects of the hospital region.
Turku PET Centre is a joint endeavour of UTU, TUCH, and Åbo Akademi University. It was established in 1988. Currently it comprises around 110 employees, equipped with 3 cyclotrons, 16 radioactive synthesis hot cells and 4 state of the art human PET scanners and 2 small animal scanners. The publications of the centre exceed 100 peer reviewed publications in international journals annually. Main research areas include brain neurotransimision, metabolism, drug development and preclinical imaging, and radiochemistry research.

Imperial College London is consistently rated among the world's top university institutions. It is ranked 5th in the world according to The Times Higher Education Supplement World University Rankings of October 2009. The Department of Computing is one of the largest computing departments in the UK and is a world leader in academic research in computer science. There are over sixty academic staff actively involved in research from distributed computing, logic and artificial intelligence, high-performance computing, visual information processing, computing theory, to computational aspects of management science. The Visual Information Processing (VIP) research group in the Department of Computing was formed in 1999 following funding from the Royal Society and the Wolfson Foundation. The group's name reflects the broad spectrum of interests in pursuing fundamental research and real-world applications particularly in the areas of medical image computing, perceptual intelligence, pervasive computing and sensing. The strength of the group lies in its ability to pursue fundamental, long-term blue sky research as well as to develop practical systems that can be used in research, clinical and industrial environments. The group currently has 5 academic staff and over 40 research staff and students. The VIP group has significant expertise in the area of medical image computing, in particular in neuro-, cardiac and cancer image analysis. The VIP group also leads WP5 (Quantification of imaging data) in the PredictAD project. This includes the development of new methods for image segmentation and spatial normalisation. In addition, the VIP group has an active role in developing approaches for building statistical models from biomarker data in the PredictAD project.

Complexio is a consultancy firm that was founded in 2006 by Valerie Gacogne. The activity consists of developing decision support tools and computer simulation models especially using System Dynamics (the methodology developed by Jay W. Forrester at MIT). The firm works on research projects in collaboration with public institutes (such as INRETS, the French National Institute for Transport and Safety Research, and ADEME, the French Agency for Environment and Energy Management). The firm creates partnerships with public organizations as well as private companies in order to form skilled teams that best suit research projects.

 

For more information on the TBI Care project, please visit the European Commission website about this project.

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