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（由适用提供）：胎盘度量，绳索插入中心，体积，形状和厚度是母亲生长的生物标志物。即使早在11-14周之前，与预期的位置形态的偏差也与位置功能障碍和妊娠并发症有关，例如先兆子痫，妊娠高血压，妊娠糖尿病和胎儿染色体缺陷。这些离开的常见发生表明，需要数学模型来量化妊娠早期不良怀孕结局的占地形态和评估风险。为了满足这一需求，我们组建了一个领先的专家团队，专家专家，数学，计算机科学，妇产科和妇科学专家进行了1）发展和2）验证数学模型，这些模型可预测可预测怀孕早期获得的位置形态学测量值。该算法将从大型数据库中开发，该数据库完成了来自怀孕者的3D超声波式图像，其已知结果提供了客观标准，其中可以建立“健康”和潜在的“处于风险”的状态。将提出一个针对临床软件的原型，以容纳提出的模型，允许输入个别患者数据，并为增加不良结果的风险增加估计，从而表明患者进行进一步研究。拟议的模型将对个性化的怀孕风险进行分类，为管理每种怀孕的个性化计划提供基础。