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（由申请人证明）：胎盘铭文中心性，体积，形状和厚度是属于期望者形态的生物标志物。由于先兆子痫，妊娠，妊娠糖尿病和胎儿染色体缺陷。 1）2）鉴定胎盘功能障碍和妊娠并发症的数学模型，胎盘测量早期将从妊娠早期开发。可以建立胎盘生长的“风险”，以容纳提议的模型，允许对单个患者的数据进行投入，并估算出不良后果的风险。风险证明了一个个性化计划管理每个怀孕。