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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.

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

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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