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）：胎盘圆度、脐带插入中心度、体积、形状和厚度的测量是母胎生长的生物标志物。即使早在 11-14 周，胎盘形态就与预期的偏差与胎盘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。这些偏差的普遍发生表明需要数学模型来量化胎盘形态的偏差并评估妊娠早期不良妊娠结局的风险。为了满足这一需求，我们组建了胎盘形态学、数学、计算机科学和妇产科专家的领先团队，以 1) 开发和 2) 验证数学模型，根据妊娠早期获得的胎盘形态测量结果预测胎盘功能障碍和妊娠并发症。该算法将根据一个大型数据库开发，该数据库包含已知结果的妊娠 3D 超声胎盘图像，提供客观标准，在该标准中可以建立“健康”和潜在“危险”的胎盘生长模式。将改进临床软件原型以容纳所提出的模型，允许输入个体患者数据，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。所提出的模型将对个体怀孕风险进行分类，为管理每次怀孕的个性化计划奠定基础。