Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT

通过高分辨率 3D 乳腺 CT 降低浸润性小叶癌的乳房切除率

基本信息

  • 批准号:
    9455075
  • 负责人:
  • 金额:
    $ 21.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-04-01 至 2019-03-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Cancers of the breast are the second most common type of breast cancers (after invasive ductal carcinoma, IDC) and account for 10-15% of all breast cancers. More than any other breast cancer, lobular cancers present as multifocal, multicentric and bilateral disease. Among histological types, re- excision rates are highest (28.3%) for invasive lobular carcinoma and substantially more than invasive ductal carcinoma (19.1%). For subjects diagnosed with lobular carcinoma, breast MRI is currently the preferred modality for evaluating disease extent as ultrasound and mammography have been shown to be inferior in accurately estimating tumor size. Meta-analysis of pooled data have shown that breast MRI has a sensitivity of 93.3% for detecting lobular carcinoma with additional lesions detected in 32% and 7% of patients in the ipsilateral and contralateral breasts, respectively. However, for approximately 25% to 35% of tumors, the size estimated from breast MRI differs from pathology by more than 1 cm. The use of pre-operative breast MRI for evaluating disease extent has been associated with increased odds for mastectomy. A recent study analyzing 243 patients with invasive lobular carcinoma (ILC) concluded that ILC can be safely treated with conservative surgery but a more accurate preoperative evaluation of tumor size and multifocality is needed to reduce re-excision rate. We hypothesize the high spatial resolution 3D imaging provided by dedicated breast CT that is capable of resolving features in the 200 to 250 microns range would improve the proportion of tumors that are concordant in size with histopathology and hence would increase the likelihood of subjects being treated with breast conserving surgery. Dedicated breast CT does not require physical compression of the breast and takes 10 seconds for a scan. This prospective clinical study is designed to address if all foci observed with contrast-enhanced breast MRI are also visible with contrast-enhanced breast CT (sensitivity) and if the tumor size determined from breast CT is more concordant with pathology than breast MRI. The study will also investigate two automated segmentation and tumor size quantification methods to determine, which quantitative algorithm is more accurate, with tumor size from surgical pathology serving as reference standard. Thus, the proposed study challenges existing paradigms on the accuracy of tumor size measurements and paves for the way for reducing mastectomy rates.
 描述(由适用提供):乳腺癌是第二常见的乳腺癌类型(仅次于侵入性导管癌,IDC),占所有乳腺癌的10-15%。比任何其他乳腺癌都多,小叶癌作为多焦点,多中心和双侧疾病。在组织学类型中,侵入性小叶癌的重新筛选率最高(28.3%),而侵入性导管癌(19.1%)大得多。对于诊断为小叶癌的受试者,乳腺MRI目前是评估疾病程度的首选方式,因为超声和乳房摄影术在准确估计肿瘤大小的准确估计中较低。合并数据的荟萃分析表明,乳腺MRI的灵敏度为93.3%,用于检测小叶癌,在同侧和对侧乳房中,在32%和7%的患者中检测到其他病变。然而,对于大约25%至35%的肿瘤,乳腺MRI估计的大小与病理学不同1 cm。术前乳房MRI评估疾病程度的使用与乳房切除术的几率增加有关。最近的一项研究分析仪243例侵入性小叶癌(ILC)的患者得出结论,可以通过保守手术安全地对ILC进行安全治疗,但需要对肿瘤大小和多焦点进行更准确的术前评估,以降低重新分辨率。我们假设由专用乳腺CT提供的高空间分辨率3D成像,该成像能够解决200至250微米范围内的特征,将改善与组织病理学相一致的肿瘤的比例,因此会增加受试者与乳房保存手术治疗的可能性。专用的乳房CT不需要对乳房进行物理压缩,需要10秒钟才能进行扫描。这项前瞻性临床研究旨在解决是否与对比增强的乳腺MRI观察到的所有焦点也与对比增强的乳腺CT(敏感性)可见,并且是否从乳腺CT确定的肿瘤大小比乳房MRI更一致。该研究还将研究两种自动分割和肿瘤尺寸定量方法,以确定哪种定量算法更准确,而外科病理学的肿瘤大小则是参考标准。这是拟议的研究对肿瘤大小测量的准确性和摊铺的准确性提出了挑战,以降低乳房切除术率。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Value of BI-RADS 3 Audits.
Unifocal Invasive Lobular Carcinoma: Tumor Size Concordance Between Preoperative Ultrasound Imaging and Postoperative Pathology.
  • DOI:
    10.1016/j.clbc.2018.07.017
  • 发表时间:
    2018-12
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Vijayaraghavan GR;Vedantham S;Santos-Nunez G;Hultman R
  • 通讯作者:
    Hultman R
Photon-counting hexagonal pixel array CdTe detector: Spatial resolution characteristics for image-guided interventional applications.
光子计数六边形像素阵列 CdTe 探测器:图像引导介入应用的空间分辨率特性。
  • DOI:
    10.1118/1.4944868
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Vedantham,Srinivasan;Shrestha,Suman;Karellas,Andrew;Shi,Linxi;Gounis,MatthewJ;Bellazzini,Ronaldo;Spandre,Gloria;Brez,Alessandro;Minuti,Massimo
  • 通讯作者:
    Minuti,Massimo
{{ 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 }}

SRINIVASAN VEDANTHAM其他文献

SRINIVASAN VEDANTHAM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('SRINIVASAN VEDANTHAM', 18)}}的其他基金

Upright, Low-dose, High-resolution, 3D Breast CT
立式、低剂量、高分辨率、3D 乳腺 CT
  • 批准号:
    10407991
  • 财政年份:
    2019
  • 资助金额:
    $ 21.53万
  • 项目类别:
Upright, Low-dose, High-resolution, 3D Breast CT
立式、低剂量、高分辨率、3D 乳腺 CT
  • 批准号:
    10627825
  • 财政年份:
    2019
  • 资助金额:
    $ 21.53万
  • 项目类别:
Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT
通过高分辨率 3D 乳腺 CT 降低浸润性小叶癌的乳房切除率
  • 批准号:
    8882960
  • 财政年份:
    2015
  • 资助金额:
    $ 21.53万
  • 项目类别:
Quantitative breast cancer risk index from routine 3-D imaging
常规 3D 成像定量乳腺癌风险指数
  • 批准号:
    8697025
  • 财政年份:
    2013
  • 资助金额:
    $ 21.53万
  • 项目类别:
Quantitative breast cancer risk index from routine 3-D imaging
常规 3D 成像定量乳腺癌风险指数
  • 批准号:
    8489847
  • 财政年份:
    2013
  • 资助金额:
    $ 21.53万
  • 项目类别:
Design and Optimization of Dedicated Computed Tomography of the Breast
乳腺专用计算机断层扫描的设计与优化
  • 批准号:
    8073116
  • 财政年份:
    2009
  • 资助金额:
    $ 21.53万
  • 项目类别:
Design and Optimization of Dedicated Computed Tomography of the Breast
乳腺专用计算机断层扫描的设计与优化
  • 批准号:
    7731139
  • 财政年份:
    2009
  • 资助金额:
    $ 21.53万
  • 项目类别:
Design and Optimization of Dedicated Computed Tomography of the Breast
乳腺专用计算机断层扫描的设计与优化
  • 批准号:
    7907802
  • 财政年份:
    2009
  • 资助金额:
    $ 21.53万
  • 项目类别:

相似国自然基金

大规模声学计算的耦合双边界元法及其快速多极算法研究
  • 批准号:
    12364055
  • 批准年份:
    2023
  • 资助金额:
    31 万元
  • 项目类别:
    地区科学基金项目
双边—配对市场视角下类出租车服务平台算法治理研究
  • 批准号:
    72174147
  • 批准年份:
    2021
  • 资助金额:
    48.00 万元
  • 项目类别:
    面上项目
双边-配对市场视角下类出租车服务平台算法治理研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    48 万元
  • 项目类别:
受干扰非线性遥操作系统的位置和力双边控制算法研究
  • 批准号:
  • 批准年份:
    2019
  • 资助金额:
    58 万元
  • 项目类别:
    面上项目
人机协同双边装配的能力规划与作业调度
  • 批准号:
    61803287
  • 批准年份:
    2018
  • 资助金额:
    27.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Functional spatial segregation in auditory scene analysis
听觉场景分析中的功能空间隔离
  • 批准号:
    10659664
  • 财政年份:
    2023
  • 资助金额:
    $ 21.53万
  • 项目类别:
Ovarian Cancer Detection with Blood- and Imaging-Based Biomarkers
使用基于血液和成像的生物标志物检测卵巢癌
  • 批准号:
    10598251
  • 财政年份:
    2022
  • 资助金额:
    $ 21.53万
  • 项目类别:
CRCNS: Multifocal causal mapping of brain networks supporting human cognition
CRCNS:支持人类认知的大脑网络的多焦点因果图谱
  • 批准号:
    10654871
  • 财政年份:
    2022
  • 资助金额:
    $ 21.53万
  • 项目类别:
Sensory-motor strategies for odor-guided navigation
气味引导导航的感觉运动策略
  • 批准号:
    10531982
  • 财政年份:
    2022
  • 资助金额:
    $ 21.53万
  • 项目类别:
New statistical methods and software for modeling complex multivariate survival data with large-scale covariates
用于对具有大规模协变量的复杂多变量生存数据进行建模的新统计方法和软件
  • 批准号:
    10631139
  • 财政年份:
    2022
  • 资助金额:
    $ 21.53万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了