Opendata, web and dolomites

CAD4FACE SIGNED

Computational modelling for personalised treatment of congenital craniofacial abnormalities

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CAD4FACE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

PonD (2019)

Particles-on-Demand for Multiscale Fluid Dynamics

Read More  

HydroLieve (2018)

A long-lasting non-migrating hydrogel for relieving chronic pain

Read More  

Aware (2019)

Aiding Antibiotic Development with Deep Analysis of Resistance Evolution

Read More