3D Facial Scanning for Evaluating Autologous Fat Grafting in Craniofacial Deformities
NCT ID: NCT06306326
Last Updated: 2024-04-18
Study Results
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Basic Information
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NOT_YET_RECRUITING
NA
100 participants
INTERVENTIONAL
2024-04-15
2029-03-01
Brief Summary
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Detailed Description
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In addition to being influenced by surgical techniques and individual differences, a more significant issue is the lack of accuracy in assessing the effectiveness of this technique. Previous evaluation methods include subjective assessment and objective evaluation methods such as cephalometric measurements. However, these methods have various degrees of inaccuracy in evaluating soft tissue volume changes. The emergence of the 3dMD face system (3dMD) (3dMD Inc, Atlanta, Ga) technology is expected to solve this problem. 3dMD technology, full name 3D facial scanning imaging technology, uses binocular vision principles to rapidly capture three-dimensional data of the face, providing high-precision facial morphology information. It is accurate, fast, and radiation-free, and literature suggests it is the preferred method for evaluating the results of facial soft tissue volume recovery surgery. The application of 3dMD technology can help achieve precise measurements of facial volume before and after fat grafting, providing a powerful tool for studying fat absorption rates.
This study is an observational study that will use 3dMD technology to accurately measure changes in facial volume before and after autologous fat grafting by scanning the patient's face in three dimensions. This will provide accurate fat absorption or retention rates and study the impact of individual factors on treatment outcomes through regression analysis. This will help better understand the effectiveness of autologous fat grafting technology and provide a scientific basis for the treatment of craniofacial deformities.
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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3D Facial Scanning for Evaluating Autologous Fat Grafting in Craniofacial Deformities
By performing autologous fat grafting surgery on 100 patients with craniofacial deformities that meet the research criteria, 3dMD technology will be used for facial three-dimensional scanning preoperatively, immediately postoperatively, and at six months postoperatively to obtain facial volume data. Then, through precise data analysis, we will calculate the fat absorption rate and study the effects of individual factors on treatment outcomes through correlation regression analysis.
3dMD technology
By taking photos using 3dMD, we obtained preoperative, immediate postoperative, and long-term postoperative three-dimensional data of patients. The software automatically fused the data to obtain the volume difference of facial volume at different time points, and then divided it to obtain the objective data of facial volume improvement rate. To improve the reliability of the measurements, two researchers measured independently and took the average value.
Interventions
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3dMD technology
By taking photos using 3dMD, we obtained preoperative, immediate postoperative, and long-term postoperative three-dimensional data of patients. The software automatically fused the data to obtain the volume difference of facial volume at different time points, and then divided it to obtain the objective data of facial volume improvement rate. To improve the reliability of the measurements, two researchers measured independently and took the average value.
Eligibility Criteria
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Inclusion Criteria
* Good physical health, without severe systemic diseases or infectious diseases.
* Not pregnant and without plans for pregnancy.
* Signed informed consent form.
Exclusion Criteria
* Patient refusal to participate in this study.
* Significant contour changes in non-filled facial areas during follow-up period leading to inability to register data.
3 Years
80 Years
ALL
Yes
Sponsors
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Peking University
OTHER
Responsible Party
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Principal Investigators
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Xi Gong, Dr
Role: STUDY_DIRECTOR
Peking University School and Hospital of Stomatology
Central Contacts
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Other Identifiers
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pkussfatgrafting
Identifier Type: -
Identifier Source: org_study_id
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