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Grant: Project Grant

University of British Columbia

$100,000.00

Patient-Specific Digital Planning of Head and Neck Surgery using Model-based Prediction of Swallowing

EF 2016-17

Résumé
Computer-aided planning is having a significant impact on the planning and delivery of surgically-based medical treatment. This is particularly true for surgical treatments associated with head and neck cancer. A common treatment for jaw tumours involves removing the diseased tissue and replacing it with a bone graft grown from the patient's lower leg. Using computer-aided planning, we, at the Institute for Reconstructive Sciences in Medicine (iRSM) in Edmonton, have turned the complex treatment procedure into a fully-guided one, and have reduced the total recovery time for this treatment from 2-4 years to 12 weeks, greatly improving the patient's experience. We will build on this success by using computer modeling to help plan the treatment associated with a different procedure: removing tumours found in the tongue, and replacing the missing tissue with skin/fat tissue grafts obtained from the forearm. One serious side effect of this procedure is that for a majority of patients, it impairs their ability to swallow, resulting in serious (and sometimes life-threatening) consequences. Our intention is to mitigate this problem by developing a framework for creating dynamic, 3D patient-specific computer models of the patient's full head and neck which can be used to help plan the procedure, predict the impact of a treatment on swallowing behavior, assess risk of complications, and allow the clinician to adjust the treatment plan as needed. Such a model will be created for each patient prior to treatment by "morphing" a standard template model of head and neck anatomy to match medical imaging data (such as MRI and CT). The model will also be used as the basis for constructing physical guides and moulds to help with the tissue removal and reconstruction, and as a medium to facilitate communication between the health care team and patient. Together, this new digital workflow will significantly improve both treatment outcomes and the patient's quality of life.
Programme
Project Grant
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
366660
Name
Fels Sidney S
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Project Grant Competition
Projecttitle
Patient-Specific Digital Planning of Head and Neck Surgery using Model-based Prediction of Swallowing
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Advanced Digital Tools For Surgery; Base Of Tongue Tumour; Finite Element Methods; Functional Outcome Prediction; Head And Neck Cancer; Modeling And Simulation; Patient Specific Modeling; Radial Forearm Free-Flap Tongue Reconstruction; Surgical Prediction; Swallowing
Abstract
Computer-aided planning is having a significant impact on the planning and delivery of surgically-based medical treatment. This is particularly true for surgical treatments associated with head and neck cancer. A common treatment for jaw tumours involves removing the diseased tissue and replacing it with a bone graft grown from the patient's lower leg. Using computer-aided planning, we, at the Institute for Reconstructive Sciences in Medicine (iRSM) in Edmonton, have turned the complex treatment procedure into a fully-guided one, and have reduced the total recovery time for this treatment from 2-4 years to 12 weeks, greatly improving the patient's experience. We will build on this success by using computer modeling to help plan the treatment associated with a different procedure: removing tumours found in the tongue, and replacing the missing tissue with skin/fat tissue grafts obtained from the forearm. One serious side effect of this procedure is that for a majority of patients, it impairs their ability to swallow, resulting in serious (and sometimes life-threatening) consequences. Our intention is to mitigate this problem by developing a framework for creating dynamic, 3D patient-specific computer models of the patient's full head and neck which can be used to help plan the procedure, predict the impact of a treatment on swallowing behavior, assess risk of complications, and allow the clinician to adjust the treatment plan as needed. Such a model will be created for each patient prior to treatment by "morphing" a standard template model of head and neck anatomy to match medical imaging data (such as MRI and CT). The model will also be used as the basis for constructing physical guides and moulds to help with the tissue removal and reconstruction, and as a medium to facilitate communication between the health care team and patient. Together, this new digital workflow will significantly improve both treatment outcomes and the patient's quality of life.
Competitiondate
201611
Approvedterm2
1 yr 0 mth
Pinamesdelim
Fels, Sidney S; Rieger, Jana M; Stavness, Ian
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~