Early risk assessment through mathematical modeling of quantitative placental anatomic/structural biomarkers

通过定量胎盘解剖/结构生物标志物的数学模型进行早期风险评估

• 批准号: 8927423
• 负责人: Carolyn M Salafia
• 金额: $ 13.51万
• 依托单位: PLACENTAL ANALYTICS, LLC
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8927423
• 关键词: Abruptio Placentae; Address; Algorithms; Anatomy; Back; Basic Science; Biological Markers; Birth; Chromosome abnormality; Chronic; Clinical; Clinical Markers; Computer software; Counseling; Data; Databases; Descriptor; Differential Equation; Discipline of obstetrics; Educational workshop; Evaluation; Exhibits; Fetal Growth; Fetal Growth Retardation; Foundations; Functional disorder; Future; Gestational Diabetes; Goals; Growth; Gynecology; Health; Histopathology; Housing; Image; Individual; Inflammation; Investigation; Java; Licensing; Mathematics; Measurement; Measures; Meta-Analysis; Methods; Modeling; Morphology; National Institute of Child Health and Human Development; New York; Outcome; Patients; Pattern; Pennsylvania; Placenta; Pre-Eclampsia; Pregnancy; Pregnancy Complications; Pregnancy Histories; Pregnancy Outcome; Premature Rupture Fetal Membranes; Prevention; Research; Risk; Risk Assessment; Sampling; Shapes; Site; Surface; Technology; Thick; Time; Translating; Ultrasonography; Universities; Validation; Vascularization; Vision; Washington; adverse outcome; clinical application; computer science; digital; evidence base; fetal; flexibility; improved; mathematical model; meetings; model development; models and simulation; novel; novel strategies; pregnancy hypertension; prenatal; programs; prototype; public health relevance; simulation; tool

 DESCRIPTION (provided by applicant): Placental measures of roundness, cord insertion centrality, volume, shape, and thickness are biomarkers of maternal-fetal growth. Deviations from expected placental morphology even as early as 11-14 weeks are related to placental dysfunction and pregnancy complications such as preeclampsia, pregnancy hypertension, gestational diabetes mellitus, and fetal chromosomal defects. The common occurrence of these deviations reveals the need for mathematical models to quantify deviations in placental morphology and assess risk of adverse pregnancy outcomes early in pregnancy. To meet this need, we have assembled a leading team of experts in placental morphology, mathematics, computer science, and obstetrics and gynecology to 1) develop and 2) validate mathematical models that predict placental dysfunction and pregnancy complications from placental morphology measurements obtained early in pregnancy. The algorithm will be developed from a large database comprised of 3D ultrasound placental images from pregnancies with known outcomes providing objective criterion in which "healthy" and potentially "at risk" patterns of placental growth can be established. A prototype for clinical software will be advanced to house the proposed models, allow for inputting of individual patient data, and generate estimates for increased risk for adverse outcomes thereby indicating patients for further investigation. The proposed models will classify individualized pregnancy risks providing a foundation for a personalized plan to manage each pregnancy.

 描述(由申请人提供)：胎盘测量的圆度、脐带插入中心度、体积、形状和厚度是母婴生长的生物标志。甚至在11-14周时偏离预期胎盘形态与胎盘功能障碍和妊娠并发症有关，如先兆子痫、妊娠高血压综合征、妊娠期糖尿病和胎儿染色体缺陷。这些偏差的常见发生表明，需要数学模型来量化胎盘形态的偏差，并评估怀孕早期不良妊娠结局的风险。为了满足这一需求，我们组建了一支由胎盘形态学、数学、计算机科学和妇产科专家组成的领先团队，以1)开发和2)验证数学模型，根据怀孕早期获得的胎盘形态测量数据预测胎盘功能障碍和妊娠并发症。该算法将从一个大型数据库中开发出来，该数据库由妊娠的3D超声胎盘图像组成，这些图像提供了客观标准，可以用来建立“健康的”和潜在的“危险的”胎盘生长模式。临床软件的原型将被推进，以容纳拟议的模型，允许输入单个患者的数据，并生成不良结果风险增加的估计，从而指示患者进行进一步研究。建议的模型将对个性化怀孕风险进行分类，为个性化计划管理每次怀孕奠定基础。