Uterine In-vivo Strain Imaging Using Saline Infusion

使用盐水输注进行子宫体内应变成像

基本信息

  • 批准号:
    7712733
  • 负责人:
  • 金额:
    $ 19.6万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2011-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The overall goal of this research is to develop technology for imaging uterine masses and identifying diffuse pathological conditions using ultrasound strain imaging or elastography. Postmenopausal bleeding is a common gynecological problem, accounting for nearly 5% of office visits. Though the majority of cases result from a benign etiology (endometrial atrophy or hyperplasia, polyps, leiomyomas), approximately 10% to 30% of women will be found to have endometrial cancer. One of the features of cancer is the relative rigidity of the surrounding neoplastic tissue. We hypothesize that elastography could usefully be applied to the diagnosis of postmenopausal bleeding by distinguishing diffuse stiff endometrial tissue (cancer), diffuse endometrial soft tissue (hyperplasia), focal stiff masses (leiomyomas), and focal soft masses (polyps). Differentiation between fibroids and adenomyosis in the uterus is another area where stiffness variation may provide a means of diagnosis. Uterine fibroids and adenomyosis have a similar appearance on conventional US scans, making differentiation problematic- if not impossible- for the sonologist. This differentiation is, however, clinically important because treatment for the two conditions is very different, and clinicians must now use more expensive but less accessible imaging tests. Our research will develop ultrasound strain imaging for differentiating between these two conditions. Three specific aims are proposed in the R21 phase of this research. The first investigates the stiffness contrast that is present between normal and abnormal uterine tissue. Young's modulus measurements will be done on excised uterine samples obtained following hysterectomy procedures. Secondly, strategies for optimizing the timing between mechanical deformation and data acquisition in the uterus for in vivo saline induced sonohysterography (SIS) based strain imaging will be studied using anthropomorphic phantoms. Phantoms will also be utilized to optimize displacement tracking and strain estimation performance with the multi-level algorithm proposed for sector strain imaging. Thirdly, the research will also investigate the feasibility of utilizing SIS based strain imaging in-vivo. This will be done by applying the method to 15-20 human patients and evaluating uterine mass delineation/ differentiation and the ability to identify diffuse uterine pathology. Exvivo strain images will be obtained of intact uterine specimens when they become available for comparisons with these in-vivo imaging results. Preliminary in-vivo results presented in the proposal (Fig. 10 and 11) strongly indicate that our approaches will be effective. Thus, this feasibility project will likely lead to future in depth clinical trials. PUBLIC HEALTH RELEVANCE STATEMENT: Postmenopausal bleeding is a common gynecological problem, accounting for nearly 5% of office visits. Though the majority of cases result from benign etiology approximately 10% to 30% of women will be found to have endometrial cancer. One of the features of cancer is the relative rigidity of the surrounding tissue. We hypothesize that elastography could usefully be applied to the diagnosis of postmenopausal bleeding by distinguishing diffuse stiff endometrial tissue (cancer), diffuse endometrial soft tissue (hyperplasia), focal stiff masses (fibroids), and focal soft masses (polyps).
描述(由申请人提供):本研究的总体目标是开发使用超声应变成像或弹性成像对子宫肿块进行成像并识别弥漫性病理状况的技术。绝经后出血是常见的妇科问题,占就诊人数的近5%。虽然大多数病例是由良性病因(子宫内膜萎缩或增生、息肉、平滑肌瘤)引起的,但大约 10% 至 30% 的女性会被发现患有子宫内膜癌。癌症的特征之一是周围肿瘤组织的相对刚性。我们假设弹性成像可以通过区分弥漫性僵硬子宫内膜组织(癌症)、弥漫性子宫内膜软组织(增生)、局灶性僵硬肿块(平滑肌瘤)和局灶性软肿块(息肉)来有效地应用于绝经后出血的诊断。子宫肌瘤和子宫腺肌病的区别是硬度变化可以提供诊断手段的另一个领域。子宫肌瘤和子宫腺肌病在传统的美国扫描中具有相似的外观,这给超声医师的鉴别带来了问题(如果不是不可能的话)。然而,这种区别在临床上很重要,因为这两种疾病的治疗方法非常不同,临床医生现在必须使用更昂贵但更不易获得的影像学检查。我们的研究将开发超声应变成像来区分这两种情况。本研究的 R21 阶段提出了三个具体目标。第一个研究是研究正常和异常子宫组织之间存在的硬度对比。杨氏模量测量将在子宫切除手术后获得的切除子宫样本上进行。其次,将使用拟人体模研究优化子宫内机械变形和数据采集之间的时序策略,以进行体内盐水诱导宫腔超声造影(SIS)应变成像。模型还将用于通过为扇形应变成像提出的多级算法来优化位移跟踪和应变估计性能。第三,该研究还将探讨利用基于 SIS 的体内应变成像的可行性。这将通过将该方法应用于 15-20 名人类患者并评估子宫肿块描绘/分化以及识别弥漫性子宫病理的能力来完成。当完整子宫标本可用于与这些体内成像结果进行比较时,将获得体外应变图像。提案中提出的初步体内结果(图 10 和 11)强烈表明我们的方法将是有效的。因此,该可行性项目可能会导致未来深入的临床试验。 公共卫生相关声明:绝经后出血是常见的妇科问题,占就诊人数的近 5%。虽然大多数病例是由良性病因引起的,但大约 10% 至 30% 的女性会被发现患有子宫内膜癌。癌症的特征之一是周围组织的相对刚性。我们假设弹性成像可以通过区分弥漫性僵硬子宫内膜组织(癌症)、弥漫性子宫内膜软组织(增生)、局灶性僵硬肿块(肌瘤)和局灶性软肿块(息肉)来有效地应用于绝经后出血的诊断。

项目成果

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TOMY VARGHESE其他文献

TOMY VARGHESE的其他文献

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{{ truncateString('TOMY VARGHESE', 18)}}的其他基金

Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain Imaging
使用拉格朗日颈动脉应变成像生物标志物早期检测血管功能障碍
  • 批准号:
    10442390
  • 财政年份:
    2020
  • 资助金额:
    $ 19.6万
  • 项目类别:
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain Imaging
使用拉格朗日颈动脉应变成像生物标志物早期检测血管功能障碍
  • 批准号:
    10214678
  • 财政年份:
    2020
  • 资助金额:
    $ 19.6万
  • 项目类别:
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain Imaging
使用拉格朗日颈动脉应变成像生物标志物早期检测血管功能障碍
  • 批准号:
    10653121
  • 财政年份:
    2020
  • 资助金额:
    $ 19.6万
  • 项目类别:
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid
使用拉格朗日颈动脉生物标志物早期检测血管功能障碍
  • 批准号:
    10490566
  • 财政年份:
    2020
  • 资助金额:
    $ 19.6万
  • 项目类别:
Ultrasonic and Photoacoustic Imaging System for Cancer & Cardiovascular Research
癌症超声和光声成像系统
  • 批准号:
    8734742
  • 财政年份:
    2015
  • 资助金额:
    $ 19.6万
  • 项目类别:
Vulnerable Plaque Detection with Carotid Strain Imaging
通过颈动脉应变成像检测易损斑块
  • 批准号:
    7773096
  • 财政年份:
    2009
  • 资助金额:
    $ 19.6万
  • 项目类别:
Real-time Ultrasonic Monitoring of Tumor Ablation
肿瘤消融实时超声监测
  • 批准号:
    7914959
  • 财政年份:
    2009
  • 资助金额:
    $ 19.6万
  • 项目类别:
Vulnerable Plaque Detection with Carotid Strain Imaging
通过颈动脉应变成像检测易损斑块
  • 批准号:
    7937996
  • 财政年份:
    2009
  • 资助金额:
    $ 19.6万
  • 项目类别:
Real-time Ultrasonic Monitoring of Tumor Ablation
肿瘤消融实时超声监测
  • 批准号:
    7262690
  • 财政年份:
    2007
  • 资助金额:
    $ 19.6万
  • 项目类别:
Real-time Ultrasonic Monitoring of Tumor Ablation
肿瘤消融实时超声监测
  • 批准号:
    7623962
  • 财政年份:
    2007
  • 资助金额:
    $ 19.6万
  • 项目类别:

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人工智能支持虚拟数字双胞胎来构建和验证人工智能自动化工具,以实现更安全的 MR 引导的腹部癌症自适应放疗
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