Understanding the biological basis for the association between parenchymal texture features and breast cancer risk
了解实质纹理特征与乳腺癌风险之间关联的生物学基础
基本信息
- 批准号:10472712
- 负责人:
- 金额:$ 50.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAddressAnxietyAreaAutomobile DrivingBenignBiologicalBiological FactorsBiological MarkersBiological ProcessBiologyBiopsyBiopsy SpecimenBiosensorBreastBreast Cancer DetectionBreast Cancer PatientBreast Cancer PreventionBreast Cancer Risk FactorBreast CarcinogenesisBreast DiseasesBreast biopsyCancer BurdenCancer PrognosisCharacteristicsCommunitiesComplementComplexCross-Sectional StudiesDataDevelopmentDimensionsElectronic Health RecordEstradiolEstrogen AntagonistsEstrogen TherapyEstrogensEstroneFoundationsFractalsGoalsHealthHealthcare SystemsHeterogeneityHistologicHistologyHormonalIndividualKnowledgeLengthLobularMalignant NeoplasmsMammographic DensityMammographyMeasurementMeasuresMedical Care CostsMenopausal StatusMethodsMissionMonitorMorphologyNational Cancer InstituteNewly DiagnosedNon-MalignantNorth CarolinaOutcomePathway interactionsPatientsPatternPopulationPreventionPropertyPublic HealthRadiology SpecialtyRecording of previous eventsReportingReproducibilityResearchRiskRoleRunningStructureTestingTextureTimeTissuesUniversitiesUnnecessary ProceduresUrineVariantWomanWomen&aposs Groupbasebreast cancer diagnosisbreast densitybreast imagingbreast lesioncase controlclinical trial participantdensityevidence baseimprovedinsightlobular breast carcinoma in situlongitudinal analysismalignant breast neoplasmmammography registrymembermultidisciplinarynovelprecision medicineprospectiveradiomicsresponsescreeningspatial relationshipstandard carestatisticstooltreatment responseunnecessary treatmenturinary
项目摘要
Breast composition is a potential breast biomarker, but its utility has been limited by measurement methods.
Visually-assessed qualitative scales capture within-breast heterogeneity but are subjective and lack
reproducibility. In contrast, quantitative automated assessments of global breast density are reproducible, but
contain no information about within-breast variation. Limitations of both of these approaches can be overcome
with the measurement of parenchymal texture features. Texture features are quantitative measures that estimate
complex characteristics of pixel density in the breast image, ranging from descriptive statistics to higher order
statistics that describe spatial relationships and structural patterns. Prior studies have shown that texture features
independently predict breast cancer risk. However, little is known about the biological mechanisms driving that
risk relationship. The objective of this study is to identify the biological processes associated with parenchymal
texture features. The rationale is that direct evidence that texture features reflect specific biological
properties will provide the basis for development of texture features as a dynamic marker of breast cancer
risk and prognosis. This study will pursue three aims. Using a case-control analysis, Aim 1 will identify the
texture features that are independently associated with newly-diagnosed breast cancer among women
attending breast cancer screening. Aim 2 will evaluate how the texture features that were associated with
breast cancer in this population vary with estrogen levels, through (i) cross-sectional analysis of texture features
and 15 urinary estrogens and estrogen metabolites, and (ii) analyses of longitudinal change in texture
features among breast cancer patients treated with anti-estrogenic therapy. Aim 3 will evaluate
associations between texture features and breast histologic characteristics (tissue composition, benign
breast disease/LCIS, measures of lobular involution) among women with a benign biopsy. Analyses will
draw on existing mammograms, biopsy specimens, and electronic health records from women participating
in mammography at the University of North Carolina; urine will be collected prospectively. Texture features
will be measured using a novel lattice-based grid method developed and validated by members of the study
team that allows information from the whole breast to inform the texture measurements. These analyses
will establish: the magnitude of the relationship between lattice-based texture features and breast cancer
in a general screening population (Aim 1); the extent to which texture features may act as biosensors of
breast estrogen/anti-estrogen activity (Aim 2); and whether texture features can serve as a radiologic
surrogate of histologic characteristics that have known associations with breast cancer risk (Aim 3). These
results will clarify the potential role of parenchymal texture features as predictors of breast cancer risk and
therapeutic response; such new uses have the potential to identify new prevention targets and reduce
unnecessary procedures and treatments for women at risk for and being treated for breast cancer.
乳房成分是一种潜在的乳房生物标志物,但其效用受到测量方法的限制。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Sarah Jane Nyante', 18)}}的其他基金
Impact of the COVID-19 pandemic on newly-diagnosed breast cancer
COVID-19 大流行对新诊断乳腺癌的影响
- 批准号:
10359555 - 财政年份:2022
- 资助金额:
$ 50.31万 - 项目类别:
Breast cancer neoadjuvant endocrine therapy during the Covid-19 pandemic: Opportunity for a new treatment paradigm?
Covid-19大流行期间的乳腺癌新辅助内分泌治疗:新治疗模式的机会?
- 批准号:
10425018 - 财政年份:2022
- 资助金额:
$ 50.31万 - 项目类别:
Impact of the COVID-19 pandemic on newly-diagnosed breast cancer
COVID-19 大流行对新诊断乳腺癌的影响
- 批准号:
10544316 - 财政年份:2022
- 资助金额:
$ 50.31万 - 项目类别:
Breast cancer neoadjuvant endocrine therapy during the Covid-19 pandemic: Opportunity for a new treatment paradigm?
Covid-19大流行期间的乳腺癌新辅助内分泌治疗:新治疗模式的机会?
- 批准号:
10589922 - 财政年份:2022
- 资助金额:
$ 50.31万 - 项目类别:
Understanding the biological basis for the association between parenchymal texture features and breast cancer risk
了解实质纹理特征与乳腺癌风险之间关联的生物学基础
- 批准号:
10697306 - 财政年份:2019
- 资助金额:
$ 50.31万 - 项目类别:
Understanding the biological basis for the association between parenchymal texture features and breast cancer risk
了解实质纹理特征与乳腺癌风险之间关联的生物学基础
- 批准号:
10241446 - 财政年份:2019
- 资助金额:
$ 50.31万 - 项目类别:
Understanding the biological basis for the association between parenchymal texture features and breast cancer risk
了解实质纹理特征与乳腺癌风险之间关联的生物学基础
- 批准号:
9975109 - 财政年份:2019
- 资助金额:
$ 50.31万 - 项目类别:
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