Hawaii Pacific Islands Mammography Registry

夏威夷太平洋岛屿乳腺X线摄影登记处

基本信息

批准号：
10588112
负责人：
KARLA M KERLIKOWSKE
金额：
$ 68.89万
依托单位：
UNIVERSITY OF HAWAII AT MANOA
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-03-08 至 2028-02-29
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10588112
关键词：
3-Dimensional Address Adult Advanced Malignant Neoplasm American Samoa Artificial Intelligence Asian Asian Americans Asian population Biological Markers Black race Body mass index Breast Breast Cancer Detection Breast Cancer Risk Factor Breast biopsy California Cancer Center Characteristics Chinese Clinic Clinical Clinical Trials Data Databases Early Diagnosis Early treatment Ethnic Origin Ethnic Population Family history of Filipino Frequencies Goals Guam Hawaii Health High Risk Woman Hispanic Image Incidence Japan Japanese Japanese American Life Style Modification Machine Learning Malignant Neoplasms Mammographic screening Mammography Measures Mission Modeling Morbidity - disease rate Native Hawaiian Native Hawaiian or Other Pacific Islander Not Hispanic or Latino Obesity Pacific Islander Pacific Islands Pattern Personal Satisfaction Population Population Heterogeneity Population Study Positioning Attribute Prevalence Prevention Public Health Recording of previous events Registries Research Personnel Research Support Resources Risk Risk Factors Risk Reduction Sampling San Francisco Testing Texture United States National Institutes of Health Universities Weight Gain Woman advanced breast cancer breast density breast imaging calcification cancer invasiveness cancer risk clinical risk cohort data registry density digital disorder prevention ethnic difference ethnic diversity experience high risk human disease imaging biomarker improved improved outcome malignant breast neoplasm mammography registry member mortality next generation novel programs racial difference racial population radiomics reproductive risk prediction screening tumor registry

3-Dimensional Address Adult Advanced Malignant Neoplasm American Samoa Artificial Intelligence Asian Asian Americans Asian population Biological Markers Black race Body mass index Breast Breast Cancer Detection Breast Cancer Risk Factor Breast biopsy California Cancer Center Characteristics Chinese Clinic Clinical Clinical Trials Data Databases Early Diagnosis Early treatment Ethnic Origin Ethnic Population Family history of Filipino Frequencies Goals Guam Hawaii Health High Risk Woman Hispanic Image Incidence Japan Japanese Japanese American Life Style Modification Machine Learning Malignant Neoplasms Mammographic screening Mammography Measures Mission Modeling Morbidity - disease rate Native Hawaiian Native Hawaiian or Other Pacific Islander Not Hispanic or Latino Obesity Pacific Islander Pacific Islands Pattern Personal Satisfaction Population Population Heterogeneity Population Study Positioning Attribute Prevalence Prevention Public Health Recording of previous events Registries Research Personnel Research Support Resources Risk Risk Factors Risk Reduction Sampling San Francisco Testing Texture United States National Institutes of Health Universities Weight Gain Woman advanced breast cancer breast density breast imaging calcification cancer invasiveness cancer risk clinical risk cohort data registry density digital disorder prevention ethnic difference ethnic diversity experience high risk human disease imaging biomarker improved improved outcome malignant breast neoplasm mammography registry member mortality next generation novel programs racial difference racial population radiomics reproductive risk prediction screening tumor registry

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项目摘要

PROJECT SUMMARY / ABSTRACT Despite recent advances in early detection and treatment, breast cancer remains a major cause of morbidity and mortality. Native Hawaiian women have the highest breast cancer incidence in Hawaii despite their favorably reproductive patterns. Japanese American women now experience the same breast cancer risk as non-Hispanic White women Further, advanced breast cancer rates are considerably higher in Asian American Women in Hawaii and the Pacific compared to the US mainland, 15% versus 9%. The absolute risk of invasive cancer and advanced cancer in these groups of the US population is not known. Our long-term goal is to develop accurate and validated breast cancer risk biomarkers that can contribute to screening strategies for Asian groups with diverse breast cancer risk profiles who to date have not been well represented in breast cancer cohorts and clinical trials. The Hawaii Pacific Islands Mammography Registry (HIPIMR) will be a resource to identify and validate novel image biomarkers for the diverse ethnic groups of this region with varying risk factor profiles including Native Hawaiians, Japanese, Filipino, Chinese, and other ethnic groups. Combining San Francisco Mammography Registry and HIPIMR cohorts will give us the statistical power to describe risk of invasive and advanced cancer in Asian groups. Our central hypothesis is that standard breast cancer risk factors and image factors and their prevalence are different in the diverse populations found in high concentrations in the Pacific (Hawaii, Guam, American Samoa) and Asian ethnic groups in the mainland US compared to non-Hispanic White, non-Hispanic Black and Hispanic women. We plan to test the hypothesis that using risk factor profiles and next generation breast composition and texture features across Asian groups, the fastest growing segment of the US population,9 and NHPI ethnic groups will improve cancer risk prediction. Our specific aims are as compared to non-Hispanic White women: 1. Examine clinical risk factors and their association with invasive and advanced breast cancer in women undergoing breast cancer screening by Asian (Japanese, Filipino, Chinese) and Native Hawaiian Pacific Islander (AANHPI) ancestry, 2. Identify next- generation breast imaging characteristics from 2D and 3D mammography, including volumetric breast density, calcifications, masses, texture features and their association with invasive and advanced breast cancer for AANHPI women, using advanced artificial intelligence and machine learning approaches, 3. Identify the combination of clinical risk factors and image factors associated with invasive and advanced breast cancer risk among AANHPI women. This study addresses the need for accurate identification of defined clinical and radiomic risk factors among AANHPI populations and their relation to breast cancer risk to improve outcomes for these women.

项目摘要 /摘要尽管最近的早期发现和治疗取得了进步，但乳腺癌仍然是发病率的主要原因和死亡率。夏威夷当地妇女在夏威夷的乳腺癌发病率最高有利的生殖模式。日裔美国女性现在经历与非西班牙裔白人妇女进一步，晚期乳腺癌率在亚裔美国人中要高得多与美国大陆相比，夏威夷和太平洋的妇女在15％和9％。侵入性的绝对风险这些美国人口中的癌症和晚期癌症尚不清楚。我们的长期目标是开发准确且经过验证的乳腺癌风险生物标志物，可以为筛查策略做出贡献迄今为止乳腺癌的乳腺癌风险概况多样化的亚洲群体在乳房中尚未得到很好的代表癌症队列和临床试验。夏威夷太平洋岛屿乳房X线摄影注册中心（HIPIMR）将是资源以识别和验证该地区各个种族的新型图像生物标志物，并不同的风险因素概况，包括夏威夷原住民，日本，菲律宾，中国和其他种族。结合旧金山乳房X线摄影注册表和Hipimr队列将为我们提供统计能力描述亚洲群体中侵入性和晚期癌症的风险。我们的中心假设是标准乳房癌症风险因素和图像因素及其患病率在高度的种群中不同美国大陆的太平洋（夏威夷，关岛，美国萨摩亚）和亚洲种族的集中与非西班牙裔白人，非西班牙裔黑人和西班牙裔妇女相比。我们计划检验以下假设使用亚洲群体的风险因素概况以及下一代乳房成分和质地特征，美国人口，9和NHPI族群中增长最快的部分将改善癌症风险预测。我们的具体目标与非西班牙裔白人妇女相比：1。检查临床风险因素及其与接受亚洲乳腺癌筛查的妇女的侵入性和晚期乳腺癌相关联（日本，菲律宾，中文）和夏威夷原住民太平洋岛民（Aanhpi）祖先，2。来自2D和3D乳房X线摄影的产生乳房成像特征，包括体积乳房密度，钙化，质量，质地特征及其与侵入性和晚期乳腺癌的关联 Aanhpi妇女，使用先进的人工智能和机器学习方法，3。与侵入性和晚期乳腺癌风险相关的临床风险因素和图像因素的结合在Aanhpi妇女中。这项研究旨在准确鉴定定义的临床和 AANHPI人群中的放射危险因素及其与乳腺癌的关系改善预后的风险对于这些女人。