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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.

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

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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