I-Corps: An efficient automated biopsy diagnostic process

I-Corps:高效的自动化活检诊断流程

基本信息

  • 批准号:
    2107886
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-03-15 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this I-Corps project will explore the market need for an efficient automated biopsy diagnostic process. Annually, 2.5 million Fine Needle Aspiration (FNA) biopsies are performed in the US. Twenty percent of these FNAs will prove to be inadequate for diagnosis or downstream molecular testing. This failure results in patients being re-admitted for repeat FNA biopsies and, as a consequence, insurers, hospital, physicians and patients lose time and money, and patients have added anxiety as they wait for medical results. This failure amounts to over $3 billion in annual losses from all parties. The proposed technology would improve patient access to high quality cancer diagnostics and reduce unnecessary repeat procedures due to inefficiencies in the biopsy processes. This I-Corps project aims to validate the need for an automated biopsy process. The Rapid On-Site Evaluation (ROSE) technology checks the adequacy of a specimen as part of a Fine Needle Aspiration (FNA) biopsy. Although FNA is usually image-guided (e.g. through a computerized tomography (CT) scan or ultrasound guidance), the procedure itself is still regarded as a (semi-) blind procedure. It is not unusual to have inadequate (sometimes acellular) specimens that lack a sufficient amount of appropriate material, leading to diagnostic or therapy guidance failure, increased cost and unnecessary physical and emotional consequences for the patient. The proposed ROSE technology may vastly increase sampling efficiency and improve the patient experience, while reducing costs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该I-Corps项目的更广泛影响/商业潜力将探索市场对高效自动活检诊断过程的需求。每年,在美国进行250万次细针抽吸(FNA)活检。这些FNA中的20%将被证明不足以用于诊断或下游分子检测。这种失败导致患者再次入院进行重复FNA活检,因此,保险公司、医院、医生和患者损失了时间和金钱,患者在等待医疗结果时增加了焦虑。这一失败给各方造成的年度损失超过30亿美元。这项技术将改善患者获得高质量癌症诊断的机会,并减少由于活检过程效率低下而导致的不必要的重复手术。该I-Corps项目旨在验证自动活检过程的必要性。快速现场评估(ROSE)技术检查作为细针抽吸(FNA)活检一部分的标本是否充分。尽管FNA通常是图像引导的(例如,通过计算机断层扫描(CT)扫描或超声引导),但程序本身仍然被视为(半)盲程序。缺乏足够量的适当材料的不适当(有时是无细胞的)标本并不罕见,从而导致诊断或治疗指导失败、增加成本以及对患者造成不必要的身体和情感后果。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

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 }}

Janine Elliott其他文献

Transparent carbon ultramicroelectrode arrays: figures of merit for quantitative spectroelectrochemistry for biogenic analysis of reactive oxygen species.
透明碳超微电极阵列:用于活性氧生物分析的定量光谱电化学的品质因数。
  • DOI:
    10.1021/acs.analchem.5b02804
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    J. Duay;Janine Elliott;J. Shear;K. Stevenson
  • 通讯作者:
    K. Stevenson

Janine Elliott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 }}

相似国自然基金

固定参数可解算法在平面图问题的应用以及和整数线性规划的关系
  • 批准号:
    60973026
  • 批准年份:
    2009
  • 资助金额:
    32.0 万元
  • 项目类别:
    面上项目

相似海外基金

Safe and efficient eco-driving using connected and automated vehicles
使用联网和自动驾驶车辆实现安全高效的生态驾驶
  • 批准号:
    DP240102189
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Discovery Projects
Promoting Mental Health of Teachers and Caregivers using a Personalized mHealth Toolkit in Uganda
在乌干达使用个性化移动医疗工具包促进教师和护理人员的心理健康
  • 批准号:
    10739227
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
Automated High-purity Exosome isolation-based AD diagnostics system (AHEADx)
基于自动化高纯度外泌体分离的 AD 诊断系统 (AHEADx)
  • 批准号:
    10738697
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
Collaborative Research: SHF: Medium: Automated energy-efficient sensor data winnowing using native analog processing
协作研究:SHF:中:使用本机模拟处理进行自动节能传感器数据筛选
  • 批准号:
    2212346
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Histology, Biochemistry and Molecular Imaging (HBMI) Core
组织学、生物化学和分子成像 (HBMI) 核心
  • 批准号:
    10232835
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
PFI-TT: Development of an Automated Cell Culturing Platform for Highly Efficient and Reliable Drug Testing in Physiologically Representative Disease Models
PFI-TT:开发自动化细胞培养平台,在生理代表性疾病模型中进行高效可靠的药物测试
  • 批准号:
    2141029
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Automated Dynamic Flow System for Efficient Mapping of Reaction Design Spaces
用于高效映射反应设计空间的自动动态流系统
  • 批准号:
    2751715
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Studentship
Collaborative Research: SHF: Medium: Automated energy-efficient sensor data winnowing using native analog processing
协作研究:SHF:中:使用本机模拟处理进行自动节能传感器数据筛选
  • 批准号:
    2212345
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
CAREER: Automated and Efficient Machine Learning as a Service
职业:自动化高效的机器学习即服务
  • 批准号:
    2305491
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Exploring Efficient Automated Design Choices for Robust Machine Learning Algorithms
探索稳健的机器学习算法的高效自动化设计选择
  • 批准号:
    2748823
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了