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Development of a combined ARFI/SWEI ultrasound elasticity imaging system for targeted prostate biopsy guidance

开发用于靶向前列腺活检引导的组合 ARFI/SWEI 超声弹性成像系统

基本信息

批准号：
10580038
负责人：
Derek Yu Xuan Chan
金额：
$ 1.6万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-03-01 至 2023-05-14
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10580038
关键词：
3-Dimensional 3D ultrasound Acoustics Algorithms Anatomy Appearance Benign Biopsy Cancer Detection Cancer Etiology Cessation of life Clinic Clinic Visits Clinical Contrast Media Core Biopsy Custom Data Development Diagnosis Diagnostic Sensitivity Disease Early Diagnosis Elasticity Elements Geometry Gland Goals Guidelines Health Care Costs Heating Human Image Imaging Techniques In Vitro Location Magnetic Resonance Imaging Malignant Neoplasms Malignant neoplasm of prostate Maps Measures Methods Microbubbles Modality Modeling Morphologic artifacts Nature PSA level Patients Penetration Performance Predisposition Procedures Prostate Radiation Radical Prostatectomy Recommendation Rectum Research Resolution Risk Sampling Screening for Prostate Cancer Serum Signal Transduction Speed Staging System Techniques Three-Dimensional Imaging Time Tissues Transducers Transrectal Ultrasound Ultrasonics Ultrasonography United States Work accurate diagnosis advanced system attenuation clinic ready clinically significant contrast enhanced cost design diagnostic accuracy diagnostic tool digital effective therapy elastography human subject image guided image reconstruction imaging modality imaging system improved in vivo in vivo imaging system insight men portability prostate biopsy rectal research clinical testing signal processing simulation standard of care tool ultrasound validation studies vector

项目摘要

ABSTRACT Prostate cancer is the most common cancer among men in the United States, and early detection is crucial for effective treatment or management. Following an initial screening for prostate cancer based on elevated prostate-specific antigen (PSA) levels or suspicious digital rectal exam, the current clinical standard of care for diagnosis is a transrectal ultrasound (TRUS)-guided biopsy, in which 10 to 12 systematically sampled cores are taken and examined. Because the TRUS procedure is guided by conventional B-mode ultrasound imaging, in which prostate cancer does not typically have a unique appearance, the biopsy cores are sampled from a predetermined grid of locations throughout the gland, and are not specifically targeted to cancer-suspicious regions. As a result, there is often a need for repeat biopsies when the first biopsy fails to detect cancer. Recent studies have demonstrated the ability of alternative imaging modalities, such as multiparametric MRI (mpMRI) or contrast-enhanced ultrasound (CEUS), to provide imaging guidance for a targeted prostate biopsy. These techniques have drawbacks, however, including challenges with registering the mpMRI volume with the real- time B-mode ultrasound image during the biopsy, or the need to inject microbubble contrast agents into the patient’s vasculature for CEUS imaging. The goal of this proposal is to develop a low-cost, clinic-ready 3D ultrasound elasticity imaging system to guide a targeted biopsy that is specific for clinically significant disease in the prostate. Previous work has demonstrated that prostate cancer is stiffer than the surrounding healthy tissue and can thus be imaged using ultrasonic acoustic radiation force-based techniques. The proposed system will simultaneously acquire two elasticity imaging modes: acoustic radiation force impulse (ARFI) imaging and shear wave elasticity imaging (SWEI), in order to create high-resolution, quantitative stiffness maps of the prostate. I hypothesize that using combined 3D ARFI/SWEI prostate volumes to guide a targeted biopsy for prostate cancer will result in improved diagnostic sensitivity and staging accuracy compared to current transrectal ultrasound standard-of-care biopsy. In this proposed work, I will develop advanced ARFI/SWEI reconstruction methods in order to examine the tradeoff between the number and intensity of acoustic radiation force excitations, transducer heating, and reconstructed image quality. In particular, I will use specialized finite-element simulation tools to compare different ultrasonic imaging sequences and implement these sequences on a state-of-the-art commercial ultrasound scanner. In order to evaluate these sequences in an in vitro setting, I will acquire combined ARFI/SWEI data in custom tissue-mimicking prostate anatomy phantoms. From here, I will assess the performance of the 3D ARFI/SWEI imaging system in a clinical setting, by using the system to obtain targeted biopsy cores in patients with suspected prostate cancer and comparing the diagnostic accuracy of the ultrasound targeting system with standard-of-care procedures.

摘要