Development of Flow Based Biomarkers for Retinopathy of Prematurity - Supplemental Aim

基于流的早产儿视网膜病变生物标志物的开发 - 补充目标

基本信息

  • 批准号:
    10098795
  • 负责人:
  • 金额:
    $ 9.61万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2020-08-31
  • 项目状态:
    已结题

项目摘要

ABSTRACT This application is a request for an administrative supplement to our funded grant ID 1R43EY030798-01. Retinopathy of Prematurity (ROP) is a potentially blinding disease that occurs in the earliest weeks of life. The disease is currently one of the top three causes of childhood blindness in the world and is the number one cause of blindness in countries of a medium level of economic development. One in nine children born in the US, or half a million babies per year, are born prematurely; worldwide, the number is estimated at 15 million. Current American Academy of Pediatrics guidelines mandate an ophthalmology screening exam for 2-5% of these infants to assess the risk of developing ROP. Ophthalmologists diagnose and make decisions about the initial treatment of ROP based on the appearance of the retinal blood vessels. The current standard of care for diagnosis of ROP is a subjective evaluation of vessel dilatation and tortuosity based on a static fundus photograph. The only instruments marketed for imaging the infant retina that may assist in ROP diagnostics are bulky and expensive making them unsuitable for widespread use. Hence, there is a critical need for a standardized, more accurate method of screening infants for ROP using a convenient, affordable, and portable instrument. Semi-automated methods are available to quantify the vascular morphologic changes seen in ROP; however, these technologies lack the ability to objectively and automatically quantify and detect the condition. This Phase I effort proposes to design and develop the XyCAM NEO™—a handheld, noninvasive imager capable of measuring retinal blood flow with high spatial resolution, for diagnosis and management of ROP and test the crucial hypothesis that XyCAM NEO derived flow-based metrics can be utilized for monitoring of status of ROP and Plus Disease. The XyCAM NEO will use laser speckle contrast imaging (LSCI) to capture blood flow information over a wide field of view of the infant retina without the need for exogenous dyes. This additional information is complementary to that available using fundus photography, and the addition of novel flow-based biomarkers to conventional biomarkers such as vessel tortuosities, diameters, lengths, and densities is expected to improve diagnostics. Specifically, we propose to adapt our retinal imaging technology that has been validated in adult human subjects for use in premature infants in the neonatal intensive care unit (NICU) environment; and demonstrate through an early feasibility clinical study that blood flow in premature infants with severe ROP is different than in those with low-grade ROP. In doing so, we also expect to demonstrate the ability and potential of the XyCAM NEO derived flow-based biomarkers to discriminate between a severe and mild disease state. The present request for an administrative supplement seeks funds for re-engineering the optical assembly and the computational hardware of the proposed XyCAM NEO system to meet modified use case requirements and improve the likelihood of success. If successful, we anticipate undertaking a Phase II project to conduct a rigorous clinical study to statistically evaluate, in a large number of subjects, the ability of the XyCAM NEO to identify ROP based on the metrics identified in the feasibility study (i.e., characterize the diagnostic sensitivity and specificity) and compare the results with those obtained using current practice standards. We will investigate the suitability of flow- based assessment for characterizing the short- and long-term response to various ROP treatment options, thereby permitting greater optimization of therapy. The results of this work will facilitate marketing of a paradigm shifting medical device for timely diagnosis of a condition that impacts all aspects of a child's development and shapes the adult they become.
摘要 本申请是对我们资助的补助金ID 1 R43 EY 030798 -01的行政补充申请。 早产儿视网膜病(ROP)是一种发生在生命最初几周的潜在致盲疾病。的 疾病是目前世界上儿童失明的三大原因之一, 在中等经济发展水平的国家,这是失明的原因。每九个出生在 在美国,每年有50万婴儿早产;在世界范围内,这个数字估计为15 万目前美国儿科学会的指南要求进行眼科筛查检查 2-5%的婴儿,以评估发生ROP的风险。眼科医生诊断并使 根据视网膜血管的外观决定ROP的初始治疗。的 目前用于诊断ROP的护理标准是对血管扩张和迂曲的主观评价 基于静态眼底照片。市场上唯一的用于婴儿视网膜成像的仪器, 辅助ROP诊断是庞大和昂贵的,使得它们不适合广泛使用。因此,在那里 迫切需要一种标准化的、更准确的方法, 价格实惠的便携式仪器。半自动化方法可用于量化血管 ROP中观察到的形态学变化;然而,这些技术缺乏客观和 自动量化和检测条件。 第一阶段的工作是设计和开发XyCAM NEO™-一种手持式非侵入式成像仪 能够以高空间分辨率测量视网膜血流,用于ROP的诊断和管理 并测试了XyCAM NEO衍生的基于流量的指标可用于监测的关键假设 ROP和Plus疾病的状态。XyCAM NEO将使用激光散斑对比成像(LSCI)来捕获 在婴儿视网膜的宽视野上的血流信息,而不需要外源染料。 该附加信息是对使用眼底照相术可获得的信息的补充,并且该附加信息 新的基于流动的生物标志物与传统的生物标志物如血管弯曲度、直径、长度 并且密度有望改善诊断。具体来说,我们建议调整我们的视网膜成像, 已在成人受试者中验证用于新生儿中早产儿的技术 重症监护室(NICU)环境;并通过早期可行性临床研究证明, 重度ROP早产儿的血流与轻度ROP早产儿的血流不同。在这样做时, 我们还希望证明XyCAM NEO衍生的基于流动的生物标志物的能力和潜力 来区分严重和轻微的疾病状态。目前的行政请求 补充寻求资金,重新设计的光学组件和计算硬件的 提出的XyCAM NEO系统可满足修改后的用例要求并提高发生以下情况的可能性 成功 如果成功,我们预计将进行第二阶段项目,进行严格的临床研究, 在大量受试者中评估XyCAM NEO根据指标识别ROP的能力 在可行性研究中确定的(即,描述诊断灵敏度和特异性),并比较 结果与使用现行实践标准获得的结果一致。我们会调查流动的适宜性- 用于表征对各种ROP治疗选择的短期和长期反应的基于评估, 从而允许更好地优化治疗。这项工作的结果将有助于销售一种 用于及时诊断影响儿童健康的各个方面的状况的范式转变医疗装置 发展和塑造他们成为成年人。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Abhishek Rege其他文献

Abhishek Rege的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Abhishek Rege', 18)}}的其他基金

Ocular Blood Flow Imaging for Glaucoma Assessment
用于青光眼评估的眼血流成像
  • 批准号:
    10483638
  • 财政年份:
    2022
  • 资助金额:
    $ 9.61万
  • 项目类别:
Ocular Blood Flow Imaging for Glaucoma Assessment
用于青光眼评估的眼血流成像
  • 批准号:
    10617379
  • 财政年份:
    2022
  • 资助金额:
    $ 9.61万
  • 项目类别:
Ocular Blood Flow Imaging for Glaucoma Assessment
用于青光眼评估的眼血流成像
  • 批准号:
    10867973
  • 财政年份:
    2022
  • 资助金额:
    $ 9.61万
  • 项目类别:
Dye-free, on-demand visualization of blood flow during cerebrovascular surgery
脑血管手术期间血流的无染料、按需可视化
  • 批准号:
    10483677
  • 财政年份:
    2022
  • 资助金额:
    $ 9.61万
  • 项目类别:
Dye-free, on-demand visualization of blood flow during cerebrovascular surgery
脑血管手术期间血流的无染料、按需可视化
  • 批准号:
    10598593
  • 财政年份:
    2022
  • 资助金额:
    $ 9.61万
  • 项目类别:
Assessment of episcleral vasculature for glaucoma management
青光眼治疗中巩膜外层血管系统的评估
  • 批准号:
    10324938
  • 财政年份:
    2021
  • 资助金额:
    $ 9.61万
  • 项目类别:
Laser Speckle Imaging Chip for Telehealth Applications
用于远程医疗应用的激光散斑成像芯片
  • 批准号:
    9466379
  • 财政年份:
    2014
  • 资助金额:
    $ 9.61万
  • 项目类别:

相似海外基金

Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
  • 批准号:
    MR/S03398X/2
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
  • 批准号:
    EP/Y001486/1
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
  • 批准号:
    2338423
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
  • 批准号:
    MR/X03657X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
  • 批准号:
    2348066
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Standard Grant
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
  • 批准号:
    2341402
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
  • 批准号:
    AH/Z505481/1
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    EU-Funded
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
  • 批准号:
    AH/Z505341/1
  • 财政年份:
    2024
  • 资助金额:
    $ 9.61万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了