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Low-Field High-Performance MRI for Screening Clinically Significant Prostate Cancer

低场高性能 MRI 用于筛查有临床意义的前列腺癌

基本信息

批准号：
10306404
负责人：
Hersh Chandarana
金额：
$ 19.41万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-12-01 至 2022-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10306404
关键词：
Acoustics Address Advisory Committees American Cancer Society Amplifiers Area Biopsy Blood Tests Cancer Etiology Clinical Deposition Detection Diagnosis Diagnostic Diagnostic Imaging Diffusion Diffusion Magnetic Resonance Imaging Disease Early Diagnosis Early treatment Evaluation Fellowship Funding Gases Helium Hip region structure Human Image Image Enhancement Incidence Intestines Literature Magnetic Resonance Imaging Malignant Neoplasms Malignant neoplasm of prostate Measurement Methodology Methods Noise Ownership PSA screening Pathway interactions Patients Performance Play Population Predisposition Preventive Prostate Prostate-Specific Antigen Protocols documentation Reporting Research Resolution Role Safety Sampling Scanning Screening for Prostate Cancer Screening procedure Sensitivity and Specificity Signal Transduction Source Specificity System T2 weighted imaging Techniques Testing Time Training United States United States National Institutes of Health Ursidae Family aged base cancer care clinical implementation clinically significant contrast enhanced cost cost estimate deep learning denoising design economic impact head-to-head comparison healthy volunteer image reconstruction imaging scientist imaging system improved innovation light weight male men mortality novel operation prostate lesions prototype radiologist reconstruction screening screening guidelines theories tumor volunteer

项目摘要

Project Summary/Abstract Prostate cancer (PCa) is the most common malignancy and is the 2nd leading cause of cancer-related mortality in males in the United States. Despite high incidence and tremendous human and economic impact of PCa, there is no good screening test for clinically significant PCa. Commonly used blood test for Prostate Specific Antigen (PSA) is inexpensive but lack specificity for clinically significant PCa. Over the last decade, multi- parametric prostate MRI has been shown to have an increasingly important role in the detection and localization of clinically significant PCa. Despite the demonstrated value of prostate MRI, there are two major challenges in clinical implementation of prostate MRI as a first-line screening tool at a population level: (1) high cost of the scanner and the exam, which decreases accessibility, and (2) lack of robustness of the MRI exam. To overcome these limitations we propose establishing a low-field, robust, widely accessible, and thus low- cost high-performance MRI system for PCa screening. Major challenges for imaging at lower field strength is the lower signal to noise (SNR) and thus longer acquisition times compared to 1.5 and 3.0 T. In this proposal we aim to address these efficiency and scan time challenges at low field. Our team of clinical and imaging scientists will bring to bear novel acquisition and reconstruction techniques to restore SNR, specifically random matrix theory (RMT- a technique our center has recently introduced), and deep-learning- based image reconstruction (an area our group has helped to pioneer). We will evaluate these techniques in healthy volunteers and patients with PCa. Subsequently, we will perform head-to-head comparison of low-field bi-parametric exam to routine clinical 1.5 T or 3.0 T MRI exams in 30 patients with known or suspected PCa.

项目总结/文摘