Improved cancer screening with synthetic and stationary 3D mammography

通过合成和固定 3D 乳房 X 光检查改进癌症筛查

• 批准号: 10318140
• 负责人: Andrew Connor Puett
• 金额: $ 3.27万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10318140
• 关键词: 3-Dimensional; Algorithms; Back; Basic Science; Biomedical Engineering; Breast; Breast Cancer Detection; Breast Microcalcification; Cancer Detection; Carbon Nanotubes; Clinical; Complement; Computer software; Computers; Data; Development; Devices; Diagnostic; Digital Breast Tomosynthesis; Doctor of Philosophy; Early Diagnosis; Evolution; Foundations; Future; Goals; Human; Image; Imaging Device; Imaging technology; Knowledge; Laboratories; Libraries; Mammographic screening; Mammography; Mathematics; Medicine; Methods; Motivation; Nanotechnology; Patients; Performance; Physicians; Positioning Attribute; Preclinical Testing; Process; Protocols documentation; Radiation Dose Unit; Radiology Specialty; Reader; Research; Resolution; Scientist; Screening for cancer; Supervision; System; Technology; Testing; Three-Dimensional Image; Three-Dimensional Imaging; Time; Training; Universities; Work; X-Ray Medical Imaging; base; breast imaging; career; clinical application; clinically relevant; diagnostic accuracy; flexibility; graduate student; head-to-head comparison; high resolution imaging; human imaging; image archival system; image processing; imaging system; improved; indexing; malignant breast neoplasm; medical schools; new technology; preference; quantitative imaging; radiologist; screening; skills; tomosynthesis; tool

PROJECT SUMMARY/ABSTRACT Motivation and clinical relevance: Early detection is the key to surviving breast cancer. This project aims to complete the development of an experimental carbon nanotube-enabled x-ray imaging device for breast cancer screening. Best described as stationary digital breast tomosynthesis (sDBT), this unique approach to 3D breast imaging has been shown in pre-clinical testing to collect higher quality information than the commercially- available 3D mammography systems currently in use. As such, it has the potential to improve the early detection of cancer. However, as with all 3D imaging, the images presented to the reader are the product of extensive computer processing. For 3D breast imaging, the final and crucial step is the presentation of a synthetic mammogram. Purpose and hypotheses: The purpose of this project is to integrate synthetic mammography into the image processing capability of the sDBT system, thereby providing a complete clinical tool. We hypothesize that (1) the quality of the sDBT synthetic mammogram will be greater than the quality of synthetic mammograms from available 3D mammography systems and (2) readers will prefer the sDBT synthetic mammogram over standard mammograms when interpreting diagnostically-important image features. Methods: To test these hypotheses, the research will involve two specific aims. First, phantom-based experimentation will be used to develop image processing algorithms that optimize the quality of information generated by sDBT and displayed as a synthetic mammogram. Quantitative image quality metrics (detectability indices) will be used for optimization, with images from commercially-available 2D and 3D mammography devices providing references for comparison. Second, the clinical utility of the optimized synthetic mammogram will be tested in reader studies, when applied to a library of sDBT images that have been collected previously in human trials. These studies will quantify reader performance (diagnostic accuracy) and preference, when interpreting clinically-important image features, such as masses and microcalcifications, in a head-to-head comparison of sDBT synthetic mammograms to standard mammograms. Project value: Since trials assessing the value of 3D mammography should include a synthetic mammogram, this project will have a direct clinical impact. It will provide the foundation for continued human testing of this promising high-resolution imaging system, which has the potential to improve breast cancer detection. Training Plan: It is anticipated that this project will require two years, forming the core of the dissertation work to complete a PhD in Biomedical Engineering. It will be carried out in a basic research lab with scientists and computer programmers and will also involve working with patient data, under the supervision of physician-scientists and radiologists. Since this project combines basic experimentation with a direct clinical application, it should provide an ideal transition back to medical school as well as excellent training for this MD-PhD graduate student, who is preparing for a career in academic medicine with a research focus on advanced imaging technologies and 3D image processing.

项目摘要/摘要 动机和临床相关性：早期检测是存活的乳腺癌的关键。这个项目旨在 完成针对乳腺癌的实验性碳纳米管X射线成像的开发 筛选。最佳描述为固定的数字乳房合成（SDBT），这是3D乳房的独特方法 在临床前测试中已显示成像，以收集比商业上的更高质量信息 目前正在使用的可用3D乳房X线摄影系统。因此，它有可能改善早期检测 癌症。但是，与所有3D成像一样，呈现给读者的图像是广泛的产物 计算机处理。对于3D乳房成像，最终和关键步骤是呈现合成的 乳房X线照片。目的和假设：该项目的目的是整合合成乳房X线摄影 进入SDBT系统的图像处理能力，从而提供完整的临床工具。我们 假设（1）SDBT合成乳房X线照片的质量将大于合成的质量 可用的3D乳房X线摄影系统和（2）读者的乳房X线照片会更喜欢SDBT合成 在解释诊断至关重要的图像特征时，标准乳房X线照片上的乳房X线照片会产生。方法： 为了检验这些假设，研究将涉及两个具体目标。首先，基于幻影的实验将 用于开发图像处理算法，以优化SDBT和 显示为合成乳房X线照片。定量图像质量指标（可检测性指标）将用于 优化，来自商业上可用的2D和3D乳房X线照相设备的图像提供参考 进行比较。其次，优化合成乳房X线照片的临床实用性将在读者研究中进行测试， 当应用于先前在人类试验中收集的SDBT图像库时。这些研究会 量化读者表现（诊断精度）和偏好，解释临床上的图像 在SDBT合成的正面比较中，质量和微钙化等特征 标准乳房X线照片的乳房X线照片。项目价值：由于试验评估3D乳房X线摄影的值 应该包括合成乳房X线照片，该项目将产生直接的临床影响。它将提供基础 为了持续对这种有希望的高分辨率成像系统的人类测试，这有可能改善 乳腺癌检测。培训计划：预计该项目将需要两年，形成核心 论文工作以完成生物医学工程博士学位。它将在基础研究中进行 与科学家和计算机程序员的实验室，还将涉及与患者数据一起工作 医师科学家和放射科医生的监督。由于这个项目将基本实验与 直接临床应用，它应该提供理想的过渡到医学院以及出色的培训 对于这位MD-PHD研究生，他正在为学术医学做准备，研究重点是 高级成像技术和3D图像处理。

项目成果

Visualizing microcalcifications in lumpectomy specimens: an exploration into the clinical potential of carbon nanotube-enabled stationary digital breast tomosynthesis.

可视化肿瘤切除标本中的微钙化：探索碳纳米管固定数字乳腺断层合成的临床潜力。

• DOI: 10.1088/2057-1976/ab3320
• 发表时间: 2019
• 期刊: Biomedical physics & engineering express
• 影响因子: 1.4
• 作者: Puett,Connor;Gao,Jenny;Tucker,Andrew;Inscoe,ChristinaR;Hwang,Michael;Kuzmiak,CherieM;Lu,Jianping;Zhou,Otto;Lee,YuehZ
• 通讯作者: Lee,YuehZ

Applying synthetic radiography to intraoral tomosynthesis: a step towards achieving 3D imaging in the dental clinic.

将合成放射线摄影应用于口腔内断层合成：在牙科诊所实现 3D 成像的一步。

• DOI: 10.1259/dmfr.20200159
• 发表时间: 2021
• 期刊: Dento maxillo facial radiology
• 作者: Puett,Connor;Inscoe,ChristinaR;Hilton,RobertL;ReganAnderson,MichaelW;Perrone,Lisa;Puett,Savannah;Gaalaas,LaurenceR;Platin,Enrique;Lu,Jianping;Zhou,Otto
• 通讯作者: Zhou,Otto