Computational Modeling for Prediction of Acoustic Changes in Vowel Production Due to Orthognathic Surgery
NCT ID: NCT01887977
Last Updated: 2013-06-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
20 participants
INTERVENTIONAL
2012-03-31
2014-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
NONE
Study Groups
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Computational modeling
MRI examination
The vocal and nasal tracts from the lips and nostrils to the beginning of the trachea are imaged with Siemens Avanto 1.5T MRI machine using carefully optimized, externally triggered imaging sequences that are synchronized with the rest of the experimental setting. A sound sample, given by the test subject, is recorded simultaneously to obtain a coupled data set: the speech sound and the precise anatomy which produces it.
Interventions
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MRI examination
The vocal and nasal tracts from the lips and nostrils to the beginning of the trachea are imaged with Siemens Avanto 1.5T MRI machine using carefully optimized, externally triggered imaging sequences that are synchronized with the rest of the experimental setting. A sound sample, given by the test subject, is recorded simultaneously to obtain a coupled data set: the speech sound and the precise anatomy which produces it.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients who require several operations or segmented jaw surgery
* Patients with cognitive impairment
* Patients with numerous dental amalgam fillings that may cause artifacts in MR images
18 Years
50 Years
ALL
Yes
Sponsors
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Turku University Hospital
OTHER_GOV
Responsible Party
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Principal Investigators
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Risto P Happonen, Professor
Role: PRINCIPAL_INVESTIGATOR
Turku University Hospital, Po. Box 52, FI-20521 Turku, Finland
Locations
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Turku University Hospital
Turku, , Finland
Countries
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Facility Contacts
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Other Identifiers
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T17/2012
Identifier Type: -
Identifier Source: org_study_id
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