Breakthrough intra-operative detection of the parathyroid glands

术中甲状旁腺检测的突破

基本信息

  • 批准号:
    8315465
  • 负责人:
  • 金额:
    $ 25.43万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-01 至 2013-11-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Currently, about 20 million Americans have some form of thyroid disease. Thyroid disease occurs when the thyroid gland does not supply the appropriate amount of thyroid hormone needed. Thyroid and parathyroid diseases combine the fields of endocrinology and oncology leading to a complex combination of pathological conditions. When the disease cannot be treated by other methods, surgical means are used to remove the diseased gland(s). They are around 100,000 thyroid surgeries each year in the US to remove part or the entire thyroid. Complications occur when the parathyroid is accidentally injured or removed during thyroidectomies. This happens because Parathyroid glands are difficult to distinguish from the thyroid and surrounding tissues in the neck. The situation is further complicated by the glands' variability in position. Surgeons must ultimately rely on visual inspection to identify the different tissues, which can be subjective and inconclusive. Damage to the gland(s) can cause hypoparathyroidsim and hypocalcemia resulting in serious and deleterious side effects. In a recent (June 2011) publication, the PI Prof. Mahadevan-Jansen's group at Vanderbilt University reported for the first time the breakthrough finding that the Parathyroid Gland has a unique autofluorescence signature in the NIR under illumination at 785nm. The average fluorescent intensity of the parathyroid is over 6 times higher than other tissues in the neck area in a study of over 44 patients. The specific aim of this proposal is to build upon that work and it seeks to a) Characterize the the near-infrared fluorescence signatures of thyroid and parathyroid tissue in order to understand the source of this higher autofluorescence for the parathyroid gland b) To develop prototype instrumentation that provides imaging as well as point analysis including a software interface to implement and automate data acquisition and to provide real-time feedback The goal of this proposal is to develop an intra-operative detection platform for the parathyroid glands. PUBLIC HEALTH RELEVANCE: This goals of this project is to build an intra-operative detector (for surgeons) that can uniquely detect the parathyroid glands based on the technique of near-infrared (NIR) autofluorescence. There are around 100,000 thyroid surgeries each year in the US to remove part or the entire thyroid. Upto 20% of these surgeries lead to accidental removal of the parathyroid glands since they are difficult to distinguish from the thyroid and other neck tissue. The parathyroid glands responsible for the production of parathyroid hormone in order to maintain calcium homeostasis throughout the body. Their removal or injury could lead to health problems that result in lifelong medications to deal with.
描述(由申请人提供):目前,约有2000万美国人患有某种形式的甲状腺疾病。甲状腺疾病发生时,甲状腺不能提供所需的甲状腺激素的适当数量。甲状腺和甲状旁腺疾病联合收割机结合内分泌学和肿瘤学领域,导致病理条件的复杂组合。当疾病不能通过其他方法治疗时,使用手术手段来去除患病的腺体。在美国,每年约有10万例甲状腺手术切除部分或全部甲状腺。在甲状腺切除术中,甲状旁腺意外受伤或被切除时会发生并发症。这是因为甲状旁腺很难与甲状腺和颈部周围组织区分开来。腺体位置的变化使情况进一步复杂化。外科医生最终必须依靠视觉 检查以识别不同的组织,这可能是主观的和不确定的。对腺体的损伤可引起甲状旁腺功能减退和低钙血症,导致严重和有害的副作用。在最近(2011年6月)的出版物中,范德比尔特大学的PI教授Mahadevan-Jansen的小组首次报告了突破性发现,即甲状旁腺在785 nm照明下在NIR中具有独特的自体荧光特征。在一项超过44名患者的研究中,甲状旁腺的平均荧光强度比颈部其他组织高6倍以上。本提案的具体目的是在这项工作的基础上再接再厉,它旨在a)表征甲状腺和甲状旁腺组织的近红外荧光特征,以了解甲状旁腺这种较高自发荧光的来源B)开发原型仪器,提供成像和点分析,包括软件接口,以实现和自动化数据采集并提供真实的-时间反馈本提案的目标是开发甲状旁腺的术中检测平台。 公共卫生相关性:本项目的目标是建立一个术中检测器(外科医生),可以独特地检测甲状旁腺的近红外(NIR)自体荧光技术的基础上。在美国,每年约有10万例甲状腺手术切除部分或全部甲状腺。高达20%的手术会导致意外切除甲状旁腺,因为它们很难与甲状腺和其他颈部组织区分开来。甲状旁腺负责生产甲状旁腺激素,以维持整个身体的钙稳态。它们的去除或损伤可能导致健康问题,导致终身药物治疗。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(3)
Establishing the clinical utility of autofluorescence spectroscopy for parathyroid detection.
  • DOI:
    10.1016/j.surg.2015.06.047
  • 发表时间:
    2016-01
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    McWade MA;Sanders ME;Broome JT;Solórzano CC;Mahadevan-Jansen A
  • 通讯作者:
    Mahadevan-Jansen A
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Anita Mahadevan-Jansen其他文献

Anita Mahadevan-Jansen的其他文献

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{{ truncateString('Anita Mahadevan-Jansen', 18)}}的其他基金

Dual-wavelength endoscopic Raman probe for eosinophilic esophagitis
双波长内窥镜拉曼探头治疗嗜酸性食管炎
  • 批准号:
    10653201
  • 财政年份:
    2022
  • 资助金额:
    $ 25.43万
  • 项目类别:
Complementary ex vivo multimodal optical imaging and in vivo Raman spectroscopy to understand tissue dynamics
补充离体多模态光学成像和体内拉曼光谱以了解组织动力学
  • 批准号:
    10504836
  • 财政年份:
    2022
  • 资助金额:
    $ 25.43万
  • 项目类别:
Complementary ex vivo multimodal optical imaging and in vivo Raman spectroscopy to understand tissue dynamics
补充离体多模态光学成像和体内拉曼光谱以了解组织动力学
  • 批准号:
    10683232
  • 财政年份:
    2022
  • 资助金额:
    $ 25.43万
  • 项目类别:
Academic-Industry Partnership for the Translation of a Novel Optical Imaging Approach to guide Endocrine Cancer Surgery
学术与产业合作,转化新型光学成像方法来指导内分泌癌症手术
  • 批准号:
    10333305
  • 财政年份:
    2018
  • 资助金额:
    $ 25.43万
  • 项目类别:
Detecting biochemical changes in the pregnant mouse cervix by Raman spectroscopy
拉曼光谱检测妊娠小鼠子宫颈的生化变化
  • 批准号:
    8925122
  • 财政年份:
    2014
  • 资助金额:
    $ 25.43万
  • 项目类别:
Detecting biochemical changes in the pregnant mouse cervix by Raman spectroscopy
拉曼光谱检测妊娠小鼠子宫颈的生化变化
  • 批准号:
    8766404
  • 财政年份:
    2014
  • 资助金额:
    $ 25.43万
  • 项目类别:
Development of breakthrough intra-operative detector and imaging system for parat
开发突破性的术中探测器和成像系统
  • 批准号:
    8715217
  • 财政年份:
    2012
  • 资助金额:
    $ 25.43万
  • 项目类别:
Combined raman spectroscopy-optical tomagraphy for complete diagnosis of skin can
拉曼光谱-光学断层扫描相结合,可对皮肤进行全面诊断
  • 批准号:
    7623181
  • 财政年份:
    2008
  • 资助金额:
    $ 25.43万
  • 项目类别:
Combined raman spectroscopy-optical tomagraphy for complete diagnosis of skin can
拉曼光谱-光学断层扫描相结合,可对皮肤进行全面诊断
  • 批准号:
    7533592
  • 财政年份:
    2008
  • 资助金额:
    $ 25.43万
  • 项目类别:
Development of a handheld probe for confocal microscopy and Raman spectroscopy*
开发用于共焦显微镜和拉曼光谱的手持式探头*
  • 批准号:
    7843690
  • 财政年份:
    2006
  • 资助金额:
    $ 25.43万
  • 项目类别:

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