Global tissue stiffness on breast MR elastography: High-risk dense breast patients have higher stiffness compared to average-risk dense breast patients.

医学 乳腺癌 乳房磁振造影 乳腺摄影术 磁共振成像 前瞻性队列研究 弹性成像 逻辑回归 乳腺活检 内科学 肿瘤科 癌症 放射科 超声波
作者
Bhavika Patel,Kay Pepin,Kathy R. Brandt,Gina L. Mazza,Barbara A. Pockaj,Jun Chen,Yuxiang Zhou,Donald W. Northfelt,Karen S. Anderson,Brenda Ernst,Patricia A. Cronin,Sarwat Ahmad,Juliana M. Kling,Denise Millstine,Heidi A. Apsey,Celine M. Vachon,Ilyse Nelson,Richard L. Ehman
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:39 (15_suppl): 10541-10541 被引量:1
标识
DOI:10.1200/jco.2021.39.15_suppl.10541
摘要

10541 Background: Biomechanical tissue properties may vary in the breasts of patients at elevated risk for breast cancer. We aim to quantify in vivo biomechanical tissue properties in various breast densities and in both normal risk and high risk women using Magnetic Resonance Imaging (MRI)/MRE and examine the association of biomechanical properties of the breast with cancer risk. Methods: In this IRB–approved prospective single-institution study, we recruited two groups of women differing by breast cancer risk to undergo a 3.0 T dynamic contrast enhanced MRI/MRE of the breast. Low-average risk women were defined as having no personal or significant family history of breast cancer, no prior high risk breast biopsies and a negative mammography within 12 months. High-risk breast cancer patients were recruited from those patients who underwent standard of care breast MR. Within each breast density group (non-dense versus dense), two-sample t-tests were used to compare breast stiffness, elasticity, and viscosity across risk groups (low-average vs high). Results: There were 50 low-average risk and 86 high-risk patients recruited to the study. The risk groups were similar on age (mean age = 55.6 and 53.6 years), density (68% vs. 64% dense breasts) and menopausal status (66.0% vs. 69.8%). Among patients with dense breasts, mean stiffness, elasticity, and viscosity were significantly higher in high risk patients ( N = 55) compared to low-average risk patients ( N = 34; all p < 0.001). In the multivariate logistic regression model, breast stiffness remained a significant predictor of risk status (OR=4.26, 95% CI [1.96, 9.25]) even after controlling for breast density, MRI BPE, age, and menopausal status. Similar results were seen for breast elasticity (OR=4.88, 95% CI [2.08, 11.43]) and viscosity (OR=11.49, 95% CI [1.15, 114.89]). Conclusions: Structurally-based, quantitative biomarker of tissue stiffness obtained from global 3D breast MRE is associated with differences in breast cancer risk in dense breasts. As such, tissue stiffness could provide a novel prognostic marker to help identify the subset of high-risk women with dense breasts who would benefit from increased surveillance.[Table: see text]

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