Renewal: Terahertz Polarization Imaging for Detecting Breast Tumor Margins

更新：用于检测乳腺肿瘤边缘的太赫兹偏振成像

基本信息

批准号：
10201049
负责人：
Magda El-Shenawee
金额：
$ 42.45万
依托单位：
UNIVERSITY OF ARKANSAS AT FAYETTEVILLE
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：
2017-03-03 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10201049
关键词：
Adipose tissue Algorithmic Analysis Algorithms Ambulatory Care Facilities Animal Model Area Award Biological Breast Breast Cancer Model Breast Cancer Patient Breast Carcinoma Breast-Conserving Surgery Cancer Detection Cancerous Carcinogens Clinical Clinical Trials Collaborations Collagen Data Detection Discrimination Ensure Ethylnitrosourea Evaluation Excision Fatty acid glycerol esters Frequencies Future Generations Goals Grant Growth Hospitals Human Hydration status Image Image Analysis Imaging technology Intelligence Light Liquid substance Malignant Neoplasms Mammary Neoplasms Methodology Methods Modeling Mouse Mammary Tumor Virus Operative Surgical Procedures Outcome Pathology Patients Peer Review Pre-Clinical Model Publications Rattus Repeat Surgery Research Sampling Services Signal Transduction Site Source Statistical Data Interpretation Statistical Methods Surgeon Surgical margins System Techniques Technology Testing Tissue Sample Tissues Transgenic Mice Tumor Tissue United States United States National Institutes of Health Validation Vendor Woman Work breast cancer progression breast lumpectomy cancer classification cancer imaging cancer surgery clinically relevant contrast enhanced contrast imaging design efficacy testing experience high risk human model imager imaging Segmentation improved in vivo instrument instrumentation malignant breast neoplasm novel strategies operation polarimetry primary outcome spectroscopic imaging statistics success symposium tumor tumor xenograft

项目摘要

Project Summary/Abstract Breast-conserving therapy (lumpectomy) is one of the most commonly performed breast cancer surgeries in the United States. The best outcome of the lumpectomy surgery is achieved when the surgical margins are free of cancer. When remnants of cancer are detected at the surgical margins after the initial operation, a second operation will be required to remove the cancer. Unfortunately, a significant number of patients undergo breast conserving surgery (BCS) at local hospitals that do not have access to immediate on-site pathology leading to high rates of re-excision or reoperation (greater than 30%). Therefore, there is a significant need for new intraoperative technology that can be made available for local hospitals and outpatient clinics. Our previous research concludes that while terahertz studies in pre-clinical models have shown strong differentiation between cancerous and fatty tissues, the more clinically relevant differentiation between cancerous and healthy non-fatty tissue remains challenging. To further build upon the successes of our previous award and improve the sensitivity of terahertz imaging cancer detection on the surgical margins, we have identified areas where we can significantly improve the instrumentation, the animal model, and the image analysis algorithms. As part of this renewal application, we will re-design our instrumentation to develop terahertz polarization- sensitive imaging methodology. In this new approach, all four polarizations of the waves will be incorporated to increase the spatial and spectral information about different types of tumor tissues (Aim 1). We will test the system in vivo in a carcinogen-induced model of breast cancer in rats and use biological tissue simulating phantoms to determine the sources of signal generation in the THz images (Aim 2). Finally, we will improve the detection algorithm accuracy by exploiting the spatial information embedded in the terahertz images with spatial statistics (Aim 3). The goal is to better detect the presence of healthy fibrous tissue due to their potential growth of healthy collagen adjacent to cancerous tissues in tumors. We anticipate that the new proposed approach will increase the image contrast between cancerous and healthy adjacent tissues, leading to better differentiation and classification of cancer on the tumor margins. This renewal application will allow us to develop an optimized approach that leverages multiple polarizations, the spatial information encoded in the terahertz images for analysis, and the validation of our approach on mammary tumors from rats. The success of the proposed research will allow us to expand our work to clinical trials using clinically translational and compatible terahertz technology.

项目概要/摘要保乳治疗（肿块切除术）是最常进行的乳腺癌手术之一在美国。当手术切缘达到最佳效果时，可以达到肿瘤切除手术的最佳效果。无癌症。当初次手术后在手术边缘检测到癌症残留时，需要进行第二次手术需要手术切除癌症。不幸的是，相当多的患者接受了乳房手术在当地医院进行保留手术（BCS），无法立即进行现场病理检查，导致再次切除或再次手术的比率高（大于30%）。因此，迫切需要新的可以为当地医院和门诊诊所提供的术中技术。我们之前的研究得出的结论是，虽然临床前模型中的太赫兹研究表明，癌性组织和脂肪组织，癌性组织和健康非脂肪组织之间的临床相关性更强组织仍然具有挑战性。进一步巩固我们之前奖项的成功并提高敏感性通过太赫兹成像在手术边缘进行癌症检测，我们已经确定了可以进行的区域显着改进仪器、动物模型和图像分析算法。作为更新应用的一部分，我们将重新设计我们的仪器以开发太赫兹偏振- 灵敏的成像方法。在这种新方法中，波的所有四种偏振都将被合并到增加不同类型肿瘤组织的空间和光谱信息（目标 1）。我们将测试在致癌物诱发的大鼠乳腺癌模型中体内系统并使用生物组织模拟模型以确定太赫兹图像中信号生成的来源（目标 2）。最后，我们将改进通过利用太赫兹图像中嵌入的空间信息来提高检测算法的准确性统计（目标 3）。目标是更好地检测健康纤维组织的存在，因为它们具有潜在的生长能力肿瘤中癌组织附近的健康胶原蛋白。我们预计新提出的方法将增加癌变组织和健康相邻组织之间的图像对比度，从而更好地区分以及肿瘤边缘的癌症分类。这个续订应用程序将使我们能够开发一个优化的利用多偏振的方法，太赫兹图像中编码的空间信息分析，以及我们对大鼠乳腺肿瘤方法的验证。提议的成功研究将使我们能够使用临床转化和兼容的太赫兹将我们的工作扩展到临床试验技术。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning.

DOI：
10.1007/s10762-021-00839-x
发表时间：
2022-01
期刊：
Journal of infrared, millimeter and terahertz waves
影响因子：
0
作者：
通讯作者：

Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer

N-乙基-N-亚硝基脲诱导 Sprague Dawley 大鼠乳腺肿瘤用于评估乳腺癌太赫兹成像

DOI：
10.1117/1.jmi.8.2.023504
发表时间：
2021
期刊：
Journal of Medical Imaging
影响因子：
2.4
作者：
Vohra, Nagma;Chavez, Tanny;Troncoso, Joel R.;Rajaram, Narasimhan;Wu, Jingxian;Coan, Patricia N.;Jackson, Todd A.;Bailey, Keith;El-Shenawee, Magda
通讯作者：
El-Shenawee, Magda

A Phantom Study of Terahertz Spectroscopy and Imaging of Micro- and Nano-diamonds and Nano-onions as Contrast Agents for Breast Cancer.