Digital Specimen Tomosynthesis for Volumetric Imaging of Lumpectomy Specimens

用于肿瘤切除标本体积成像的数字标本断层合成

基本信息

批准号：
8766676
负责人：
XIAOCHUAN PAN
金额：
$ 52.34万
依托单位：
UNIVERSITY OF CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-01 至 2018-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8766676
关键词：
Advanced Development Algorithms Anatomic structures Area Breast-Conserving Surgery Clinic Clinical Data Data Quality Decision Making Detection Development Diagnostic radiologic examination Effectiveness Ensure Evaluation Evaluation Studies Excision Force of Gravity Frequencies Geometry Image Image-Guided Surgery Imaging Device Incidence Knowledge Letters Limb structure Methods Metric Modification Morphologic artifacts Operating Rooms Operative Surgical Procedures Pathologic Pathologist Pathology processes Performance Probability Radiation therapy Resolution Roentgen Rays Rotation Sampling Scanning Solid Solutions Source Specimen Spottings Structure Surgical margins System Time X-Ray Computed Tomography base breast lumpectomy breast surgery clinical application clinically significant cost design digital digital imaging distraction experience improved innovation pre-clinical preclinical study programs public health relevance reconstruction soft tissue tool

项目摘要

DESCRIPTION (provided by applicant): The objective of the project is to develop a digital specimen tomosynthesis (DST) system, based upon the clinical specimen radiography (SR) system for performing rapid, volumetric imaging of breast lumpectomy specimen in or near a surgical suite. Even though SR is used currently for surgical positive-margin evaluation, pathological examination guidance, and other clinical/preclinical applications, its utility is limied by the lack of volumetric information about specimens in SR images. The proposed DST can yield useful volumetric information about the specimen by virtue of which overlapping anatomic structures can be discerned, yet involving only minimal modifications to clinical SR. It can accomplish the imaging task within 1-2 minutes, an acceptable clinical time for a rapid evaluation of the specimen in identifying positive margins in and near an operating suite, thus reducing the frequency of positive margins being identified, and of consequent re- excisions, post surgically. It can also be used for improving accuracy in pathologic examinations by providing guidance to the pathologist to focus on regions in the specimen with the highest probability of positivity, thus increasing the sensitivity of the pathology process by reducing the incidence of missed positive regions due to suboptimal sampling. Because multiple SR images, including the ones used in current clinic evaluation, are collected in DST imaging, the DST thus retains the full functionality of current SR, and would not alter the workflow in the operating room, but only enhance the quality of information obtained from imaging, leading to improved decision making. Because the DST is designed based upon an inexpensive SR system that is used widely in breast-surgery suites, it provides an economical, practical solution which can readily be disseminated. Knowledge gained in the project can be exploited for the design and development of advanced, application- specific emerging X-ray-based tomographic imaging systems in image-guided surgery and radiation therapy, and in extremity imaging. The specific aims of the project are (1) to develop DST for rapid, volumetric imaging of lumpectomy specimen; (2) to develop algorithms for enabling DST imaging of lumpectomy specimen; and (3) to evaluate the performance of DST-scan configurations/algorithms.

描述（由申请人提供）：该项目的目标是开发一种数字标本断层合成（DST）系统，该系统基于临床标本放射成像（SR）系统，用于在手术室中或附近对乳房肿瘤切除标本进行快速、体积成像。尽管 SR 目前用于手术阳性边缘评估、病理检查指导和其他临床/临床前应用，但由于 SR 图像中缺乏有关标本的体积信息，其实用性受到限制。所提出的 DST 可以产生有关样本的有用体积信息，通过这些信息可以辨别重叠的解剖结构，但只涉及对临床 SR 的最小修改。它可以在 1-2 分钟内完成成像任务，这是快速评估标本以识别手术室及其附近的阳性切缘的可接受的临床时间，从而减少识别阳性切缘以及随后再次切除的频率，手术后。它还可用于指导病理学家关注标本中阳性概率最高的区域，从而提高病理检查的准确性，从而通过减少由于次优采样而错过阳性区域的发生率。由于 DST 成像中收集了多个 SR 图像，包括当前临床评估中使用的图像，因此 DST 保留了当前 SR 的全部功能，并且不会改变手术室的工作流程，而只会提高所获得信息的质量来自成像，从而改善决策。由于 DST 是基于广泛应用于乳腺手术室的廉价 SR 系统而设计的，因此它提供了一种经济、实用且易于传播的解决方案。在该项目中获得的知识可用于在图像引导手术和放射治疗以及四肢成像中设计和开发先进的、特定于应用的新兴基于 X 射线的断层成像系统。该项目的具体目标是 (1) 开发用于肿瘤切除标本快速、体积成像的 DST； (2) 开发用于肿瘤切除标本 DST 成像的算法； (3) 评估 DST 扫描配置/算法的性能。