University of Arizona
Tucson, Arizona, 85724, United States
NCT Number: NCT04799665
The overall objective of this clinical study is to determine the feasibility of breast CT for breast density assessment and association of CT-derived density measures with metabolic syndrome in overweight/obese Mexican-origin women in Southern Arizona. These evaluations will help support follow-up clinical research utilizing breast density acquired by breast CT as a surrogate endpoint biomarker to evaluate breast cancer preventive strategies. The long-term goal of these research efforts is to develop safe and effective preventive strategies to reduce obesity-associated breast cancer burden in our catchment area.
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Notify Me40 year–65 year
Female
Observational
Tucson, Arizona, 85724, United States
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
This is a cross-sectional clinical study to determine the feasibility of breast CT for breast density assessment and association of CT-derived density measures with metabolic syndrome in overweight/obese Mexican-origin women in Southern Arizona. There is no intervention.
Time frame: Baseline
To determine the feasibility of applying a novel clinical prototype of breast CT to assess breast density on non-compressed breasts. Feasibility will be evaluated by the proportion of unmeasurable breast density within our study population utilizing computerized tomography (CT) scan.
Time frame: Two years
To determine the association between metabolic syndrome and breast CT-derived density measures through comparison of CT-derived breast density measures between women with or without metabolic syndrome, characterized by having at least three components among abdominal obesity, high serum triglycerides, low high-density lipoprotein cholesterol, high serum glucose, and high blood pressure.
Time frame: Two years
To compare the CT-derived breast density measures versus the individual components of metabolic syndrome to reveal associations between breast density and specific metabolic characteristics.
University of Arizona
Other
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