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:
- 金额:$ 68.89万
- 依托单位:
- 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:
- 关键词:3-DimensionalAddressAdultAdvanced Malignant NeoplasmAmerican SamoaArtificial IntelligenceAsianAsian AmericansAsian populationBiological MarkersBlack raceBody mass indexBreastBreast Cancer DetectionBreast Cancer Risk FactorBreast biopsyCaliforniaCancer CenterCharacteristicsChineseClinicClinicalClinical TrialsDataDatabasesEarly DiagnosisEarly treatmentEthnic OriginEthnic PopulationFamily history ofFilipinoFrequenciesGoalsGuamHawaiiHealthHigh Risk WomanHispanicImageIncidenceJapanJapaneseJapanese AmericanLife Style ModificationMachine LearningMalignant NeoplasmsMammographic screeningMammographyMeasuresMissionModelingMorbidity - disease rateNative HawaiianNative Hawaiian or Other Pacific IslanderNot Hispanic or LatinoObesityPacific IslanderPacific IslandsPatternPersonal SatisfactionPopulationPopulation HeterogeneityPopulation StudyPositioning AttributePrevalencePreventionPublic HealthRecording of previous eventsRegistriesResearch PersonnelResearch SupportResourcesRiskRisk FactorsRisk ReductionSamplingSan FranciscoTestingTextureUnited States National Institutes of HealthUniversitiesWeight GainWomanadvanced breast cancerbreast densitybreast imagingcalcificationcancer invasivenesscancer riskclinical riskcohortdata registrydensitydigitaldisorder preventionethnic differenceethnic diversityexperiencehigh riskhuman diseaseimaging biomarkerimprovedimproved outcomemalignant breast neoplasmmammography registrymembermortalitynext generationnovelprogramsracial differenceracial populationradiomicsreproductiverisk predictionscreeningtumor registry
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
尽管最近在早期发现和治疗方面取得了进展,但乳腺癌仍然是发病率的主要原因。
和死亡率。夏威夷土著妇女的乳腺癌发病率在夏威夷最高,尽管她们
有利的繁殖模式。日裔美国女性现在经历的乳腺癌风险与
此外,亚裔美国人的晚期乳腺癌发病率要高得多
与美国大陆相比,夏威夷和太平洋地区的女性比例为15%,而美国大陆为9%。侵入性的绝对风险
这些美国人群中的癌症和晚期癌症尚不清楚。我们的长期目标是
开发准确和有效的乳腺癌风险生物标记物,有助于筛查
具有不同乳腺癌风险特征的亚洲群体,到目前为止,他们在乳房中没有得到很好的代表
癌症队列和临床试验。夏威夷太平洋岛屿乳房摄影登记处将是一个
为该地区的不同种族确定和验证新的图像生物标志物的资源
不同的风险因素包括夏威夷原住民、日本人、菲律宾人、中国人和其他种族。
结合旧金山乳房X光照相登记处和HIPIMR队列,我们将拥有统计能力
描述亚洲人群中浸润性癌症和晚期癌症的风险。我们的中心假设是标准乳房
癌症危险因素和形象因素及其在不同人群中的患病率不同
集中在太平洋(夏威夷、关岛、美属萨摩亚)和美国本土的亚裔族群
与非西班牙裔白人相比,非西班牙裔黑人和西班牙裔女性。我们计划检验这一假设
使用亚洲人群的风险因素概况和下一代乳房组成和质地特征,
美国人口增长最快的一部分,9和NHPI族群将提高癌症风险预测。
与非西班牙裔白人女性相比,我们的具体目标是:1.检查临床风险因素及其
亚洲人乳腺癌筛查妇女与浸润性和晚期乳腺癌的相关性
(日本人、菲律宾人、中国人)和夏威夷土著太平洋岛民(AANHPI)血统,2.识别下一个-
从2D和3D乳房X光摄影生成乳房成像特征,包括乳房体积密度,
钙化、肿块、纹理特征及其与浸润性和晚期乳腺癌的关系
AANHPI妇女,使用先进的人工智能和机器学习方法,3.识别
与浸润性和晚期乳腺癌风险相关的临床风险因素和影像因素的组合
在AANHPI女性中。这项研究解决了准确识别已定义的临床和
AANHPI人群的放射危险因素及其与乳腺癌风险的关系以改善预后
对这些女人来说。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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KARLA M KERLIKOWSKE其他文献
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{{ truncateString('KARLA M KERLIKOWSKE', 18)}}的其他基金
Hawaii Pacific Islands Mammography Registry
夏威夷太平洋岛屿乳腺X线摄影登记处
- 批准号:
10819068 - 财政年份:2023
- 资助金额:
$ 68.89万 - 项目类别:
Evaluation of novel tomosynthesis density measures in breast cancer risk prediction
新型断层合成密度测量在乳腺癌风险预测中的评价
- 批准号:
10680241 - 财政年份:2023
- 资助金额:
$ 68.89万 - 项目类别:
New Risk Assessment Paradigm to Predict Screening Detection, Failures and False Alarms
新的风险评估范式可预测筛查检测、故障和误报
- 批准号:
9982825 - 财政年份:2020
- 资助金额:
$ 68.89万 - 项目类别:
New Risk Assessment Paradigm to Predict Screening Detection, Failures and False Alarms
新的风险评估范式可预测筛查检测、故障和误报
- 批准号:
9279002 - 财政年份:2017
- 资助金额:
$ 68.89万 - 项目类别:
Radiomic phenotypes of breast parenchyma and association with breast cancer risk and detection
乳腺实质的放射组学表型及其与乳腺癌风险和检测的关联
- 批准号:
9897495 - 财政年份:2017
- 资助金额:
$ 68.89万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
8913697 - 财政年份:2013
- 资助金额:
$ 68.89万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
8601620 - 财政年份:2013
- 资助金额:
$ 68.89万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
8693976 - 财政年份:2013
- 资助金额:
$ 68.89万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
9120340 - 财政年份:2013
- 资助金额:
$ 68.89万 - 项目类别:
Advancing Equitable Risk-based Breast Cancer Screening and Surveillance in Community Practice
在社区实践中推进基于风险的公平乳腺癌筛查和监测
- 批准号:
10411220 - 财政年份:2011
- 资助金额:
$ 68.89万 - 项目类别:
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