Craniofacial Growth Prediction in Different Facial Types
不同面部类型的颅面部生长预测
基本信息
- 批准号:9893162
- 负责人:
- 金额:$ 11.62万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-02 至 2021-03-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdolescentAdultAffectAgeAge of OnsetAmericanAnatomyAreaCategoriesCervicalCharacteristicsChildChildhoodChronologyClassificationClinicalClinical ManagementCluster AnalysisCollectionComplexCongenital AbnormalityCraniofacial AbnormalitiesDataData AnalysesDatabasesDevelopmentDiagnosisDiagnosticDiseaseDysmorphologyEvaluationEvidence based treatmentFaceFeelingFoundationsFutureGoalsGrowthGrowth DisordersIndividualInformation DisseminationInterventionKnowledgeLateralLeast-Squares AnalysisLengthMeasurementMethodsModelingMorphologyNational Institute of Dental and Craniofacial ResearchNatureOnline SystemsOperative Surgical ProceduresOrthodonticOutcomePathway interactionsPatientsPatternPerformancePolynomial ModelsPopulationPrevalencePubertyReference ValuesResearchResearch PersonnelResourcesSamplingStructureTechniquesTestingTreatment outcomeValidationVariantWorkbaseclinical diagnosticsclinical practiceclinically relevantclinically significantcraniofacialdensityevidence baseheuristicsimprovedindividual patientnoveloutcome predictionpersonalized predictionsphysical conditioningpopulation healthpredictive modelingprognosticprognostic toolpubertal timingsexspine bone structuresuccesstooltraittreatment durationtreatment optimizationtreatment planningvectorweb-based tool
项目摘要
Abstract
Evidence-based pediatric practice requires a thorough understanding of growth in the absence of
intervention. Proper treatment planning for craniofacial abnormalities in children and adolescents demands
both an accurate assessment of a patient's current facial growth status and a prediction of future growth. Yet,
current methods to derive this information are inadequate. Presently, there are no reference charts or practical
tools for individualized assessment of these parameters that take into account not only sex and chronological
age, but also facial type, cervical vertebral maturity, and past craniofacial measurements.
We will identify landmarks on over 13,000 lateral cephalographs from 1,104 individuals, each with at
least two observations before and after mid-puberty, for the purpose of building a model to predict the ages of
onset, peak velocity, and cessation of pubertal craniofacial growth, and the amount of growth remaining for a
given individual. Altogether, we will assess over 30,000 lateral cephalographs from 5,803 individuals, age 0-24
years for the purpose of constructing growth charts for multiple craniofacial traits.
These data come from nine growth studies comprising the American Association of Orthodontists
Foundation Legacy Collection. Through the analysis of these data, the proposed research will 1) estimate
population- and individual-level timing of pubertal growth and adult size for multiple craniofacial traits, 2)
provide diagnostic reference charts for craniofacial lengths, angles, and ratios given sex and age, 3) develop
prognostic tools to predict remaining growth/change and the timing of the pubertal growth spurt for craniofacial
traits, 4) make these valuable resources available to clinicians and researchers via an easy-to-use free web-
based application, and 5) apply geometric morphometric techniques to extend current clinical views of
quantifying craniofacial growth.
The proposed research clearly addresses NIDCR's goal of integrating “clinical, and population health
approaches to improve diagnostics and optimize outcomes.” At the completion of this project, clinical practice
will be improved through the availability of easy-to-use web-based tools for diagnosing current status based on
craniofacial measurements and predicting future growth based on current measurements, sex, age, facial type,
cervical vertebral maturation, and past measurements. Additionally, scientific knowledge will be improved
through the dissemination of information regarding population-level reference values for craniofacial lengths,
angles, and ratios, and an evaluation of integrated craniofacial growth using geometric morphometric analysis.
The overall impact of the proposed research will be a shift in the clinical management of
pediatric craniofacial patients toward more evidence-based treatment planning, utilizing references
and predictions based on data from the largest North American cephalometric collections.
摘要
循证儿科实践需要对生长的透彻理解,
干预儿童和青少年颅面畸形的适当治疗计划要求
既能准确评估患者当前的面部生长状况,又能预测未来的生长情况。然而,
目前获得这种信息的方法是不够的。目前,没有参考图表或实际的
对这些参数进行个性化评估的工具,不仅考虑到性别和时间顺序,
年龄,还有面部类型,颈椎成熟度和过去的颅面测量。
我们将在1,104人的13,000多张头颅侧位片上识别标志,
在青春期中期前后至少进行两次观察,以建立一个模型来预测年龄。
青春期颅面生长的开始、峰值速度和停止,以及持续一个月的生长量。
给予个人。我们将对5,803名年龄在0-24岁之间的个体的30,000多张头颅侧位片进行评估
年的目的,构建多种颅面特征的生长图表。
这些数据来自九个生长研究,包括美国正畸医师协会
基金会遗产收集。通过对这些数据的分析,拟议的研究将1)估计
多颅面特征的青春期生长和成年大小的群体和个体水平时间,2)
根据性别和年龄提供颅面长度、角度和比例的诊断参考图表,3)开发
用于预测颅面畸形的剩余生长/变化和青春期生长突增时间的预后工具
特点,4)通过易于使用的免费网络向临床医生和研究人员提供这些宝贵的资源-
基于应用,以及5)应用几何形态测量技术来扩展当前的临床观点
量化颅面生长
拟议的研究明确提出了NIDCR的目标,即整合“临床和人群健康
改善诊断和优化结果的方法。”在本项目完成后,临床实践
将通过提供易于使用的网络工具,根据
颅面测量和基于当前测量、性别、年龄、面部类型预测未来生长,
颈椎成熟度和过去的测量结果此外,科学知识将得到提高
通过传播关于颅面长度的人口水平参考值的信息,
角度和比率,并使用几何形态测量分析评价综合颅面生长。
拟议研究的总体影响将是临床管理的转变,
儿科颅面患者采用更多循证治疗计划,
和预测的基础上的数据从最大的北美头影测量收集。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Bayesian approach to longitudinal craniofacial growth: The Craniofacial Growth Consortium Study.
- DOI:10.1002/ar.24520
- 发表时间:2021-05
- 期刊:
- 影响因子:0
- 作者:Sherwood RJ;Oh HS;Valiathan M;McNulty KP;Duren DL;Knigge RP;Hardin AM;Holzhauser CL;Middleton KM
- 通讯作者:Middleton KM
Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton.
- DOI:10.1038/s41598-023-46018-x
- 发表时间:2023-11-07
- 期刊:
- 影响因子:4.6
- 作者:Middleton, Kevin M.;Duren, Dana L.;McNulty, Kieran P.;Oh, Heesoo;Valiathan, Manish;Sherwood, Richard J.
- 通讯作者:Sherwood, Richard J.
Craniofacial growth and morphology among intersecting clinical categories.
- DOI:10.1002/ar.24870
- 发表时间:2022-09
- 期刊:
- 影响因子:2
- 作者:Knigge, Ryan P.;Hardin, Anna M.;Middleton, Kevin M.;McNulty, Kieran P.;Oh, Hee Soo;Valiathan, Manish;Duren, Dana L.;Sherwood, Richard J.
- 通讯作者:Sherwood, Richard J.
Geometric morphometric analysis of growth patterns among facial types.
- DOI:10.1016/j.ajodo.2020.04.038
- 发表时间:2021-09
- 期刊:
- 影响因子:0
- 作者:Knigge RP;McNulty KP;Oh H;Hardin AM;Leary EV;Duren DL;Valiathan M;Sherwood RJ
- 通讯作者:Sherwood RJ
Estimating Craniofacial Growth Cessation: Comparison of Asymptote- and Rate-Based Methods.
- DOI:10.1177/10556656211002675
- 发表时间:2022-03
- 期刊:
- 影响因子:0
- 作者:Hardin AM;Knigge RP;Oh HS;Valiathan M;Duren DL;McNulty KP;Middleton KM;Sherwood RJ
- 通讯作者:Sherwood RJ
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