Dose Reduction and Performance Enhancement During DBT Screening

DBT 筛查期间的剂量减少和性能增强

基本信息

项目摘要

DESCRIPTION (provided by applicant): Digital Breast Tomosynthesis (DBT) enables 3-D reconstruction of multiple levels of breast tissue from a series of 2-D projections acquired at different angles. Its main advantage is that it generates a volumetric dataset that allows resolution of tissue superposition ambiguities that are often present in projection mammograms. DBT is currently being investigated for use as a primary screening modality but issues related to radiation exposure and detection performance remain. In a previous retrospective observer performance we found that DBT in combination with Full Field Digital Mammography (FFDM) reduced recall rates by 30% while maintaining sensitivity, compared to FFDM alone, but the combined examination doubled radiation exposure. When DBT alone was compared to FFDM the reduction was only 10%. A 30% reduction in recall rates would be sufficient to justify incorporating DBT into screening protocols, but not if it requires doubling the radiation exposure over that of FFDM. The intent of this proposal is to determine whether the 30% reduction can be achieved without acquiring separate FFDM and DBT studies by using a synthetic FFDM, comprised of a high-resolution (70-5m) projection of appropriately reconstructed DBT data, as a substitute for the directly acquired FFDM. To test this we will develop algorithms for deriving the synthetic FFDM from the DBT data and then perform an observer performance study that measures performance of 1) FFDM alone followed by FFDM combined with traditional DBT, and 2) traditional DBT alone followed by DBT combined with the synthetic FFDM. Mode 1 has previously been shown to provide the performance gains discussed above, but requires twice the radiation dose of mode 2. The two study arms enable us to measure performance of FFDM alone, FFDM + DBT, DBT alone, and DBT + synthetic FFDM. The performance study will have 8 radiologists read 100 cases in both modes and report BIRADS scores and ROC-type scores. Each case will include an FFDM and a DBT acquired in a single procedure on our Hologic DBT system. This work will be significant because, if our goal of replacing the FFDM acquisition with a projection derived from the DBT data is successful, then it will be possible to achieve the 30% reduction in recall rates without the increased radiation exposure. PUBLIC HEALTH RELEVANCE: Breast tomosynthesis is a recently introduced imaging modality that can significantly reduce recall rates, while maintaining screening sensitivity, if used in conjunction with mammography in a screening environment. However, this combined exam doubles the radiation exposure over that required for mammography alone. This project tests various strategies for incorporating DBT into breast cancer screening environments that may be able to retain the performance improvements without the increase in radiation exposure. This could greatly reduce the number of women unnecessarily recalled because of a false positive screening result.
描述(由申请人提供):数字乳腺断层合成(DBT)能够根据以不同角度采集的一系列 2D 投影对多个层面的乳腺组织进行 3D 重建。它的主要优点是它生成一个体积数据集,可以解决投影乳房X光照片中经常出现的组织叠加模糊性。目前正在研究 DBT 作为主要筛查方式,但与辐射暴露和检测性能相关的问题仍然存在。在之前的回顾性观察者表现中,我们发现与单独使用 FFDM 相比,DBT 与全视野数字乳腺 X 线摄影 (FFDM) 结合使用可在保持灵敏度的同时将召回率降低 30%,但组合检查使辐射暴露量增加一倍。单独使用 DBT 与 FFDM 相比,仅降低了 10%。召回率降低 30% 足以证明将 DBT 纳入筛查方案是合理的,但如果它需要将辐射暴露量加倍于 FFDM,则不然。该提案的目的是确定是否可以在不获取单独的 FFDM 和 DBT 研究的情况下通过使用合成 FFDM(由适当重建的 DBT 数据的高分辨率(70-5m)投影组成)作为替代方案来实现 30% 的减少对于直接获取的FFDM。为了测试这一点,我们将开发从 DBT 数据导出合成 FFDM 的算法,然后进行观察者性能研究,测量 1) 单独使用 FFDM,然后是 FFDM 与传统 DBT 相结合,以及 2) 单独使用传统 DBT,然后是 DBT 与传统 DBT 相结合的性能。合成 FFDM。模式 1 先前已被证明可以提供上述性能增益,但需要模式 2 两倍的辐射剂量。这两个研究组使我们能够测量单独 FFDM、FFDM + DBT、单独 DBT 和 DBT + 合成 FFDM 的性能。性能研究将由 8 名放射科医生在两种模式下读取 100 个病例,并报告 BIRADS 评分和 ROC 类型评分。每个病例都将包括在我们的 Hologic DBT 系统上通过单一程序获得的 FFDM 和 DBT。这项工作意义重大,因为如果我们用 DBT 数据预测取代 FFDM 采集的目标成功,那么就有可能在不增加辐射暴露的情况下实现召回率降低 30%。 公共健康相关性:乳房断层合成是最近推出的一种成像方式,如果在筛查环境中与乳房 X 线摄影结合使用,可以显着降低召回率,同时保持筛查敏感性。然而,这种综合检查使辐射暴露量比单独进行乳房X光检查所需的辐射暴露量增加了一倍。该项目测试了将 DBT 纳入乳腺癌筛查环境的各种策略,这些策略可能能够在不增加辐射暴露的情况下保留性能改进。这可以大大减少由于假阳性筛查结果而不必要地召回的女性人数。

项目成果

期刊论文数量(1)
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 }}

Margarita L Zuley其他文献

Addition of Contrast-enhanced Mammography to Tomosynthesis for Breast Cancer Detection in Women with a Personal History of Breast Cancer: Prospective TOCEM Trial Interim Analysis.
在有乳腺癌个人史的女性中添加对比增强乳房 X 光检查和断层合成以检测乳腺癌:前瞻性 TOCEM 试验中期分析。
  • DOI:
    10.1148/radiol.231991
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    19.7
  • 作者:
    Wendie A Berg;Jeremy M Berg;Andriy I Bandos;Adrienne Vargo;D. Chough;Amy H Lu;M. Ganott;Amy E. Kelly;Bronwyn E Nair;Jamie Y Hartman;U. Waheed;C. Hakim;K. Harnist;Ruthane F. Reginella;Dilip D Shinde;Bea A Carlin;Cathy Cohen;Luisa P. Wallace;J. Sumkin;Margarita L Zuley
  • 通讯作者:
    Margarita L Zuley
Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment.
组织乳腺癌数据集市:评估影像和治疗结果的解决方案。
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Margarita L Zuley;Jonathan Silverstein;Durwin Logue;Richard S Morgan;Rohit Bhargava;Priscilla F. McAuliffe;A. Brufsky;Andriy I Bandos;Robert M. Nishikawa
  • 通讯作者:
    Robert M. Nishikawa

Margarita L Zuley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('Margarita L Zuley', 18)}}的其他基金

Contrast Enhanced Mammography (CEM) to Reduce Biopsy Rates for Less Than Highly Suspicious Breast Abnormalities: a Prospective Study
对比增强乳房X光检查(CEM)可降低高度可疑乳房异常的活检率:一项前瞻性研究
  • 批准号:
    10540765
  • 财政年份:
    2021
  • 资助金额:
    $ 24.39万
  • 项目类别:
Contrast Enhanced Mammography (CEM) to Reduce Biopsy Rates for Less Than Highly Suspicious Breast Abnormalities: a Prospective Study
对比增强乳房X光检查(CEM)可降低高度可疑乳房异常的活检率:一项前瞻性研究
  • 批准号:
    10366445
  • 财政年份:
    2021
  • 资助金额:
    $ 24.39万
  • 项目类别:
Painless Mammography
无痛乳房X光检查
  • 批准号:
    8350795
  • 财政年份:
    2012
  • 资助金额:
    $ 24.39万
  • 项目类别:
Painless Mammography
无痛乳房X光检查
  • 批准号:
    8547033
  • 财政年份:
    2012
  • 资助金额:
    $ 24.39万
  • 项目类别:

相似国自然基金

时空序列驱动的神经形态视觉目标识别算法研究
  • 批准号:
    61906126
  • 批准年份:
    2019
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
  • 批准号:
    41901325
  • 批准年份:
    2019
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
  • 批准号:
    61802133
  • 批准年份:
    2018
  • 资助金额:
    23.0 万元
  • 项目类别:
    青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
  • 批准号:
    61802432
  • 批准年份:
    2018
  • 资助金额:
    25.0 万元
  • 项目类别:
    青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
  • 批准号:
    61872252
  • 批准年份:
    2018
  • 资助金额:
    64.0 万元
  • 项目类别:
    面上项目

相似海外基金

Fluency from Flesh to Filament: Collation, Representation, and Analysis of Multi-Scale Neuroimaging data to Characterize and Diagnose Alzheimer's Disease
从肉体到细丝的流畅性:多尺度神经影像数据的整理、表示和分析,以表征和诊断阿尔茨海默病
  • 批准号:
    10462257
  • 财政年份:
    2023
  • 资助金额:
    $ 24.39万
  • 项目类别:
A computational model for prediction of morphology, patterning, and strength in bone regeneration
用于预测骨再生形态、图案和强度的计算模型
  • 批准号:
    10727940
  • 财政年份:
    2023
  • 资助金额:
    $ 24.39万
  • 项目类别:
Computer-Aided Triage of Body CT Scans with Deep Learning
利用深度学习对身体 CT 扫描进行计算机辅助分类
  • 批准号:
    10585553
  • 财政年份:
    2023
  • 资助金额:
    $ 24.39万
  • 项目类别:
High-resolution cerebral microvascular imaging for characterizing vascular dysfunction in Alzheimer's disease mouse model
高分辨率脑微血管成像用于表征阿尔茨海默病小鼠模型的血管功能障碍
  • 批准号:
    10848559
  • 财政年份:
    2023
  • 资助金额:
    $ 24.39万
  • 项目类别:
Bioethical, Legal, and Anthropological Study of Technologies (BLAST)
技术的生物伦理、法律和人类学研究 (BLAST)
  • 批准号:
    10831226
  • 财政年份:
    2023
  • 资助金额:
    $ 24.39万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了