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CORDIS - Forschungsergebnisse der EU
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Decision Support Software for Orthopaedic Surgery

Projektbeschreibung


Integrated biomedical information for better health
The project DeSSOS combines both fundamental and applied research to support the development of knowledge based software capable of providing the surgeon with recommendations for both the appropriate size, and orientation, of prosthetic implants within the joint, based on patient specific anatomical data provided either pre- or intra-operatively, in order to achieve desirable, pre-determined kinematics of the replaced joint.
The DeSSOS project aims to develop and bring closer to market a predictive technology that integrates knowledge and software tools to provide surgeons involved with joint replacement procedures with the ability to pre-, and intra-operatively assess the optimal prosthetic joint implantation configuration and position in order to maximise the effectiveness of the procedure, which will reduce surgeon variability thereby improving functional performance. Through the integration of different types of biomedical information using ICT methods at the tissue, organ and individual levels, an increase in functional performance will be effected and will have the concomitant effect of significantly increasing the life of an implant and reducing the probability a patient will have to undergo revision surgery. The DeSSOS technology will facilitate modelling of the results of years of repetitive forces on a prosthetic in a certain implanted orientation. Simulation capabilities will enable a surgeon to intra-operatively personalize the implant position in order to maximize implant life-span and enable surgeons to maximize the effectiveness of their training. In this way, our project will support personalization of healthcare and lifestyle management and will demonstrate measurable benefits, respect all aspects of confidentiality and privacy and be user friendly. Currently, between 5% - 10% of all knee replacement operations require post-operative corrective surgery, with clear implications to the comfort and wellbeing of the patient concerned. Through our developments, we aim to reduce the number of revision operations by 10% each year, which if applied to the 540 000 EU citizens undergoing such replacement surgery each year, will result in a net reduction of 5400 operations annually, equating to a total annual saving to EU healthcare providers of €108million, which will then be available for re-distribution to other healthcare priorities.

The DeSSOS project aims to develop and bring closer to market a predictive technology that integrates knowledge and software tools to provide surgeons involved with joint replacement procedures with the ability to pre-, and intra-operatively assess the optimal prosthetic joint implantation configuration and position in order to maximise the effectiveness of the procedure, which will reduce surgeon variability thereby improving functional performance. Through the integration of different types of biomedical information using ICT methods at the tissue, organ and individual levels, an increase in functional performance will be effected and will have the concomitant effect of significantly increasing the life of an implant and reducing the probability a patient will have to undergo revision surgery. The DeSSOS technology will facilitate modelling of the results of years of repetitive forces on a prosthetic in a certain implanted orientation. Simulation capabilities will enable a surgeon to intra-operatively personalize the implant position in order to maximize implant life-span and enable surgeons to maximize the effectiveness of their training. In this way, our project will support personalization of healthcare and lifestyle management and will demonstrate measurable benefits, respect all aspects of confidentiality and privacy and be user friendly. Currently, between 5% - 10% of all knee replacement operations require post-operative corrective surgery, with clear implications to the comfort and wellbeing of the patient concerned. Through our developments, we aim to reduce the number of revision operations by 10% each year, which if applied to the 540 000 EU citizens undergoing such replacement surgery each year, will result in a net reduction of 5400 operations annually, equating to a total annual saving to EU healthcare providers of �108million, which will then be available for re-distribution to other healthcare priorities.

Wissenschaftliches Gebiet (EuroSciVoc)

CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht. Siehe: Das European Science Vocabulary.

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Aufforderung zur Vorschlagseinreichung

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FP6-2004-IST-4
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STREP - Specific Targeted Research Project

Koordinator

UNIVERSITY OF SOUTHAMPTON
EU-Beitrag
€ 943 452,00
Adresse
Highfield
SO17 1BJ Southampton
Vereinigtes Königreich

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Aktivitätstyp
Higher or Secondary Education Establishments
Gesamtkosten

Die Gesamtkosten, die dieser Organisation durch die Beteiligung am Projekt entstanden sind, einschließlich der direkten und indirekten Kosten. Dieser Betrag ist Teil des Gesamtbudgets des Projekts.

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Beteiligte (9)

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