Low Cost Automated Ultrasound for Breast Cancer Detection and Diagnosis

项目总结/摘要 乳腺癌是女性癌症死亡的最常见原因 妇女在发展中国家的人数不成比例地高， 国家发展中国家需要低成本的便携式诊断工具， 易于使用，并且不需要额外的专业人员就能有效地工作。 我们提出了一种低成本、便携式、自动化的超声设备， 软件，以提高图像质量，并提供计算机辅助检测， 诊断（CAD）定位和区分明确良性和潜在 可触及的恶性乳房肿块。虽然筛查一直是 在西方国家，乳腺癌最常见于女性 不到50岁，在发展中国家是一个明显的肿块。的 在这个年龄组中常见的乳房肿块类型（囊肿，纤维腺瘤， 纤维囊性变和癌症）通常在超声上是明显的， 10%代表年轻女性中的恶性肿瘤。我们的目标是开发一种设备 可以被当地的健康援助机构用来确定哪些乳房肿块需要 因为它们是可疑的，可以单独留下。这将 使有压力的医疗保健提供系统能够将资源集中在妇女身上 最有可能从他们的努力中受益。 为了给乳腺癌分诊提供一个有效的工具， 我们建议各国做到以下几点：1.引入新的算法， 超声图像增强与计算机辅助检测诊断 （CAD）。这些算法利用了时间信息， 实时超声波扫描以确定恶性肿瘤的可能性。2.临床试验 加州的一家医院，以确定超声设备的灵敏度和特异性。一 在一个与发展中国家妇女相匹配的队列组中进行的临床试验 将决定这项技术的有效性。3.临床试验验证 LMIC环境中技术的有效性、可接受性和可行性。 临床试验将在墨西哥进行 这项工作是与乳腺癌专家和外科医生的密切合作， 博士苏珊·洛夫，乳腺成像放射科医生，临床试验专家温迪贝格博士， 医疗和软件产品开发和商业化专家， 克莉丝汀Podilchuk，博士，技术和商业化专家，教授 理查德·马蒙，外科教授和全球健康医学专家， 博士本安德森。

Project Summary/Abstract Breast cancer is the most common cause of cancer death among women worldwide and the numbers are disproportionately high for women in developing countries. Developing countries demand low-cost, portable diagnostic tools that are easy to use and do not require additional professional staff to be effective. We propose a low-cost, portable, automated ultrasound device containing software to improve the image quality and provide computer-aided detection and diagnosis (CAD) to locate and distinguish between clearly benign and potentially malignant palpable breast lumps. While screening has been the focus for diagnosis in western countries, breast cancer most commonly presents in women less than 50 years of age and as a palpable lump in developing countries. The common types of breast lumps in this age group (cysts, fibroadenomas, fibrocystic change and cancer) are usually distinct on ultrasound with fewer than 10% representing malignancy in young women. Our goal is to develop a device that could be used by a local health aid to determine which breast lumps need to be biopsied because they are suspicious and which can be left alone. This would enable stressed healthcare delivery systems to focus resources on the women most likely to benefit from their efforts. In order to provide an effective tool for breast cancer triage in developing countries we propose to do the following: 1. Introduce novel algorithms for ultrasound image enhancement and computer-aided detection and diagnosis (CAD). These algorithms take advantage of temporal information available in a live ultrasound scan to determine the probability of malignancy. 2. Clinical trial in California to determine the sensitivity and specificity of the ultrasound device. A clinical trial on a cohort group that matches the women in developing countries will determine the effectiveness of the technology. 3. Clinical trial to validate effectiveness, acceptability and feasibility of technology in an LMIC environment. The clinical trial will be performed in Mexico This work is a close collaboration with breast cancer expert and surgeon, Dr. Susan Love, breast imaging radiologist, clinical trial expert Dr. Wendie Berg, medical and software product development and commercialization expert, Christine Podilchuk, PhD, technology and commercialization expert, Professor Richard Mammone, and professor of surgery and global health medicine expert, Dr. Ben Anderson.