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CAD4FACE SIGNED

Computational modelling for personalised treatment of congenital craniofacial abnormalities

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 CAD4FACE project word cloud

Explore the words cloud of the CAD4FACE project. It provides you a very rough idea of what is the project "CAD4FACE" about.

personalised    causing    unpredictable    computational    biomechanical    clinical    infancy    implantation    vault    surgery    shapes    aesthetically    proven    paediatric    visual    deformities    integrates    physical    difficulties    craniofacial    populations    final    underling    patient    congenital    distortion    function    period    biology    care    abnormalities    brain    conventional    incomplete    cuts    grant    bone    appearance    primary    create    3d    breathing    detrimental    parallel    continuous    neurodevelopment    bespoke    normalising    suboptimal    sleep    model    promotes    multiple    skull    mechano    suture    ossification    virtually    tailor    simulate    remodelling    deformation    perpendicular    external    axis    framework    virtual    device    prematurely    apnoea    excision    individual    sutures    internal    aided    fusion    infant    delay    functionally    validated    facial    correcting    premature    force    consisting    feeding    optimise    delivered    surgical    group    regulation    programmed    viscoelastic    designed    models    interaction    performance    skeleton    time    restriction    craniosynostosis    data    cranial    outcomes    fused   

Project "CAD4FACE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙498˙772 €
 EC max contribution 1˙498˙772 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 1˙498˙772.00

Map

 Project objective

Craniosynostosis is a group of congenital craniofacial abnormalities consisting in premature fusion (ossification) of one or more cranial sutures during infancy. This results in growth restriction perpendicular to the axis of the suture and promotes growth parallel to it, causing physical deformation of the cranial and facial skeleton, as well as distortion of the underling brain, with potential detrimental effects on its function: visual loss, sleep apnoea, feeding and breathing difficulties, and neurodevelopment delay. Conventional management of craniosynostosis involves craniofacial surgery delivered by excision of the prematurely fused sutures, multiple bone cuts and remodelling of the skull deformities, with the primary goal of improving patient function, while normalising their appearance. Cranial vault remodelling surgical procedures, aided by internal and external devices, have proven functionally and aesthetically effective in correcting skull deformities, but final results remain unpredictable and often suboptimal because of an incomplete understanding of the biomechanical interaction between the device and the skull. The overall aim of this grant is to create a validated and robust computational framework that integrates patient information and device design to deliver personalised care in paediatric craniofacial surgery in order to improve clinical outcomes. A virtual model of the infant skull with craniosynostosis, including viscoelastic properties and mechano-biology regulation, will be developed to simulate device implantation and performance over time, and will be validated using clinical data from patient populations treated with current devices. Bespoke new devices will be designed allowing for pre-programmed 3D shapes to be delivered with continuous force during the implantation period. Patient specific skull models will be used to virtually test and optimise the personalised devices, and to tailor the surgical approach for each individual case.

 Publications

year authors and title journal last update
List of publications.
2019 Alessandro Borghi, Naiara Rodriguez Florez, Federica Ruggiero, Greg James, Justine O’Hara, Juling Ong, Owase Jeelani, David Dunaway, Silvia Schievano
A population-specific material model for sagittal craniosynostosis to predict surgical shape outcomes
published pages: , ISSN: 1617-7959, DOI: 10.1007/s10237-019-01229-y
Biomechanics and Modeling in Mechanobiology 2019-11-12
2019 Paul G. M. Knoops, Athanasios Papaioannou, Alessandro Borghi, Richard W. F. Breakey, Alexander T. Wilson, Owase Jeelani, Stefanos Zafeiriou, Derek Steinbacher, Bonnie L. Padwa, David J. Dunaway, Silvia Schievano
A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-49506-1
Scientific Reports 9/1 2019-11-12

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The information about "CAD4FACE" are provided by the European Opendata Portal: CORDIS opendata.

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