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Automated Volumetric Molecular Ultrasound for Breast Cancer Imaging

用于乳腺癌成像的自动体积分子超声

基本信息

批准号：
10226947
负责人：
BRUCE L DANIEL
金额：
$ 15.3万
依托单位：
STANFORD UNIVERSITY
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：
2017-08-01 至 2024-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10226947
关键词：
Acoustics Anatomy Animal Model Automobile Driving Biological Process Biopsy Breast Breast Cancer Detection Breast Cancer Model Breast Cancer Treatment Callback Cancer Etiology Cessation of life Clinic Clinical Clinical Trials Collaborations Computer software Contrast Media Core Biopsy Data Data Set Dependence Detection Development Devices Diagnosis Extravasation Family Foundations Frequencies General Population Gold Health Care Costs Histology Human Image Image Analysis Imaging technology Immunohistochemistry Industrialization Malignant Neoplasms Mammary Gland Parenchyma Mammary Ultrasonography Mammography Measures Medical Methods Microbubbles Modality Molecular Molecular Profiling Monitor Morphologic artifacts Nipples Patients Phosphotransferases Physiologic pulse Psychological Stress Research Research Proposals Resolution Rest Scanning Schedule Shapes Signal Transduction Speed Stains System Technology Testing Time Tissues Transducers Transgenic Mice Translating Translations Ultrasonic Transducer Ultrasonography United States Universities Visualization Weight Woman accurate diagnosis base breast cancer diagnosis breast imaging breast lesion cancer imaging cancer therapy cancer type clinical imaging clinical practice clinical translation cost cost efficient diagnostic accuracy experimental study first-in-human imager imaging approach imaging capabilities imaging system improved malignant breast neoplasm molecular imaging neovasculature next generation novel pre-clinical prospective receptor targeted agent tool tumor

项目摘要

Breast cancer is the second leading cause of cancer-related deaths in women in the United States. While mammography is the current first line imaging approach, its diagnostic accuracy is very limited in women with dense breast tissue. In those patients, ultrasound is used to supplement mammography for improved breast cancer detection and characterization. However, it often results in false positive findings with multiple unnecessary callbacks, biopsies, associated health care cost, and psychological stress for women. Ultrasound molecular imaging using contrast agents targeted at cancer-associated molecular signatures on the tumor neovasculature, such as kinase domain receptor (KDR), is an emerging strategy that has shown promising results for breast cancer detection and characterization in preclinical animal models as well as in a recent pilot clinical trial performed by our group. However, current limitations include its operator-dependency, limited anatomical coverage, and the lack of an optimized clinical imaging system for wide-spread breast ultrasound molecular imaging. The purpose of this interdisciplinary, academic-industrial collaboration between Stanford University and Siemens Medical Solutions USA, Inc. is to develop, optimize, and clinically test a new operator- independent whole-breast ultrasound imaging system based on a commercially available and widely used automated human breast volume scanner (ABVS), supporting molecular imaging for improved breast cancer imaging in the clinic. We will also develop imaging strategies to mitigate common artifacts encountered in ultrasound molecular imaging of the breast, including spurious contrast signal from tissue signal leakage and acoustic shadowing from the nipple. To assess feasibility and efficacy in the clinic, the new volumetric ultrasound molecular imaging system will then be clinically tested in women with focal breast lesions using histology and KDR staining levels on immunohistochemistry as gold standard. The technology used in this proposal can be integrated on similar other commercial devices beyond the ABVS (in the USA alone, approximately 1600 units are already used in routine clinical practice) and will therefore have immediate impact on the general public.

乳腺癌是美国女性癌症相关死亡的第二大原因。而