3D Shape Correspondence Quantification of Surgical Outcomes
3D Shape Correspondence Quantification of Surgical Outcomes
批准号:
7694353
负责人:
Lucia H Cevidanes
金额:
$11.1万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-30 至 2011-08-31
关键词:
AddressArtsBone remodelingClassificationComplexComputer SimulationComputer softwareCongenital AbnormalityDataData SetDeformityDentalDevelopmentDiagnosisExcisionFutureGoldGrantGrowthHeadImageImage AnalysisJawLateralLeadLeftLocationMapsMeasurementMeasuresMedical ImagingMedical ResearchMethodologyMethodsModelingMovementNational Institute of Dental and Craniofacial ResearchObservational StudyOperative Surgical ProceduresOsteoarthrosis DeformansOutcomeOutcome AssessmentPhysiological AdaptationPopulationProceduresProcessQualifyingQuantitative EvaluationsRandomized Clinical TrialsRelianceResearchSamplingScanningShapesSimulateSolidSplint DeviceStructureSurfaceSurgeonSystemTemporomandibular Joint DisordersThree-Dimensional ImageTreatment/Psychosocial EffectsUnited States National Institutes of HealthValidationWorkX-Ray Computed Tomographyanalytical toolclinical applicationcone-beam computed tomographycraniofacialcraniofacial complexdesignempoweredimprovedinnovationmultidisciplinarynovelorthognathicpublic health relevancesimulationskeletalskull basetooltreatment planning
中文摘要
描述(由申请人提供):颅面畸形是所有出生缺陷中最常见的一种,1- 2%的美国人口具有严重到致残或污名化的畸形。外科手术继续发展,以减少这些条件的严重功能和心理社会影响。但是,大多数手术都没有得到系统的评估,而且由于各种原因,许多手术永远无法在随机临床试验中进行评估。术后生理适应的观察性研究表明,纵向评估同样重要。然而,外科医生的能力,以评估复杂的纠正颅面程序已受到阻碍的缺乏计算和分析工具的三维定量评估的纵向数据。使用颅底表面配准纵向锥形束CT扫描的图像分析系统是使3D扫描在临床上有用的过程中的第一步。在这个建议中,我们正在验证和应用一个新的模型来量化颅面畸形手术的结果。使用最先进的图像分析方法,将量化由于手术矫正和术后重塑引起的局部骨骼变化。我们的多学科团队完全有资格实现这些目标。这项工作将提供初步的数据,为未来的研究应用三维计算机模拟诊断和手术治疗计划,并为新的治疗程序的结果评估。公共卫生相关性:颅面畸形是所有出生缺陷中最常见的,1- 2%的美国人口有严重到致残或污名化的畸形。外科手术继续发展,以减少这些条件的严重功能和心理社会影响。然而,外科医生的能力,以评估复杂的纠正颅面程序已受到阻碍的缺乏计算和分析工具的三维定量评估的纵向数据。在这个建议中,我们正在验证和应用一个新的模型来量化颅面畸形手术的结果。这项工作将提供初步的数据,为未来的研究应用三维计算机模拟诊断和手术治疗计划,并为新的治疗程序的结果评估。
英文摘要
DESCRIPTION (provided by applicant): Craniofacial deformities are among the most common of all birth defects, with 1- 2% of the US population having a deformity severe enough to be disabling or stigmatizing. Surgical procedures continue to be developed to reduce the serious functional and psychosocial effects of these conditions. But most procedures have not been assessed in a systematic way, and for a variety of reasons, many could never be assessed in a randomized clinical trial. Observational studies of the physiologic adaptations post-surgery have indicated that longitudinal assessments are as important. However, the surgeon's ability to assess complex corrective craniofacial procedures has been hampered by the lack of computational and analytical tools for 3D quantitative evaluation of longitudinal data. An image analysis system to register longitudinal Cone-Beam CT scans using the surface of the cranial base is a first step in the process of making 3D scans clinically useful. In this proposal, we are validating and applying a new model to quantify craniofacial deformity surgical outcomes. Using state of the art image analysis methods, regional skeletal changes due to surgical correction and post-surgical remodeling will be quantified. Our multidisciplinary team is well qualified to address these aims. This work will provide preliminary data for future research applications on 3D computer simulation for diagnosis and surgical treatment planning, and for outcome assessments of new treatment procedures. Public Health Relevance: Craniofacial deformities are among the most common of all birth defects, with 1- 2% of the US population having a deformity severe enough to be disabling or stigmatizing. Surgical procedures continue to be developed to reduce the serious functional and psychosocial effects of these conditions. However, the surgeon's ability to assess complex corrective craniofacial procedures has been hampered by the lack of computational and analytical tools for 3D quantitative evaluation of longitudinal data. In this proposal, we are validating and applying a new model to quantify craniofacial deformity surgical outcomes. This work will provide preliminary data for future research applications on 3D computer simulation for diagnosis and surgical treatment planning, and for outcome assessments of new treatment procedures.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1186/2196-1042-14-19
发表时间:
2013-07-26
期刊:
Progress in orthodontics
影响因子:
4.8
作者:
[Huanca Ghislanzoni LT, Lineberger M, Cevidanes LH, Mapelli A, Sforza C, McNamara JA Jr]
通讯作者:
McNamara JA Jr
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批准号:9125815
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资助金额:$18.91万
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Quantification of 3D Bony Changes in Temporomandibular Joint Osteoarthritis
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Integrative Predictors of Temporomandibular Osteoarthritis
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批准号:10630837
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资助金额:$46.69万
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资助金额:$51.3万
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批准号:10165688
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资助金额:$50.32万
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批准号:7589103
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资助金额:$11.07万
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资助金额:$12.67万
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财政年份:2006
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依托单位:
IMPROVING TREATMENT OUTCOMES FOR PATIENTS WITH FACIAL DEFORMITY USING 3D IMAGING
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批准号:7660440
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项目类别:
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资助金额:$12.67万
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财政年份:2006
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负责人:Lucia H Cevidanes
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依托单位:
IMPROVING TREATMENT OUTCOMES FOR PATIENTS WITH FACIAL DEFORMITY USING 3D IMAGING
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批准号:7893870
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项目类别:
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资助金额:$12.67万
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财政年份:2006
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负责人:Lucia H Cevidanes
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依托单位:
IMPROVING TREATMENT OUTCOMES FOR PATIENTS WITH FACIAL DEFORMITY USING 3D IMAGING
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批准号:7138250
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项目类别:
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资助金额:$12.17万
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财政年份:2006
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负责人:Lucia H Cevidanes
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依托单位:
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