TY - JOUR
T1 - Association of breast cancer risk, density, and stiffness
T2 - global tissue stiffness on breast MR elastography (MRE)
AU - Patel, Bhavika K.
AU - Pepin, Kay
AU - Brandt, Kathy R.
AU - Mazza, Gina L.
AU - Pockaj, Barbara A.
AU - Chen, Jun
AU - Zhou, Yuxiang
AU - Northfelt, Donald W.
AU - Anderson, Karen
AU - Kling, Juliana M.
AU - Vachon, Celine M.
AU - Swanson, Kristin R.
AU - Nikkhah, Mehdi
AU - Ehman, Richard
N1 - Funding Information:
BKP has received unrelated grant funding from GRAIL Inc. and Hologic Inc. with monies directed to Mayo Clinic. Dr. Kay Pepin is an employee at Resoundant Inc. Dr. Jun Chen is an employee who holds patents and intellectual property at Resoundant Inc. Dr. Yuxiang Zhou holds intellectual property in interventional MRI. Dr. Northfelt has research funding with Genentech/Roche (Inst); GlaxoSmithKline (Inst); Incyte (Inst); Merck (Inst); Novartis (Inst); Pfizer (Inst) Dr. Anderson has Stock and Other Ownership Interests—FlexBioTech; SafeGen Therapeutics, Consulting or Advisory Role and research funding from Merck. Dr. Vachon does not have insurance, owns stock inexact sciences, receives research funding from grail, has intellectual property with breast density software algorithms and has received travel expenses from GRAIL Inc. Dr. Ehman owns stock, has research funding, and discloses uncompensated relationships with Resoundant. Dr. Swanson discloses Precision Oncology Insights Inc. Dr. Ehman and Mayo Clinic have financial interest and intellectual properties related to MR Elastography.
Funding Information:
We would like to think the Mayo Clinic Cancer Center for providing grant funding for this study. We would also like to acknowledge the Women's Health staff who have been instrumental with recruitment for this study and the breast imaging staff who helped with imaging patients using this new technology. Special thanks to Diana Almader-Smith, who assisted with formatting the references for this manuscript.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/7
Y1 - 2022/7
N2 - Purpose: Quantify in vivo biomechanical tissue properties in various breast densities and in average risk and high-risk women using Magnetic Resonance Imaging (MRI)/MRE and examine the association between breast biomechanical properties and cancer risk based on patient demographics and clinical data. Methods: Patients with average risk or high-risk of breast cancer underwent 3.0 T breast MR imaging and elastography. Breast parenchymal enhancement (BPE), density (from most recent mammogram), stiffness, elasticity, and viscosity were recorded. Within each breast density group (non-dense versus dense), stiffness, elasticity, and viscosity were compared across risk groups (average versus high). Separately for stiffness, elasticity, and viscosity, a multivariable logistic regression model was used to evaluate whether the MRE parameter predicted risk status after controlling for clinical factors. Results: 50 average risk and 86 high-risk patients were included. Risk groups were similar in age, density, and menopausal status. Among patients with dense breasts, mean stiffness, elasticity, and viscosity were significantly higher in high-risk patients (N = 55) compared to average risk patients (N = 34; all p < 0.001). Stiffness remained a significant predictor of risk status (OR = 4.26, 95% CI [1.96, 9.25]) even after controlling for breast density, BPE, age, and menopausal status. Similar results were seen for elasticity and viscosity. Conclusion: A structurally based, quantitative biomarker of tissue stiffness obtained from MRE is associated with differences in breast cancer risk in dense breasts. Tissue stiffness could provide a novel prognostic marker to help identify high-risk women with dense breasts who would benefit from increased surveillance and/or risk reduction measures.
AB - Purpose: Quantify in vivo biomechanical tissue properties in various breast densities and in average risk and high-risk women using Magnetic Resonance Imaging (MRI)/MRE and examine the association between breast biomechanical properties and cancer risk based on patient demographics and clinical data. Methods: Patients with average risk or high-risk of breast cancer underwent 3.0 T breast MR imaging and elastography. Breast parenchymal enhancement (BPE), density (from most recent mammogram), stiffness, elasticity, and viscosity were recorded. Within each breast density group (non-dense versus dense), stiffness, elasticity, and viscosity were compared across risk groups (average versus high). Separately for stiffness, elasticity, and viscosity, a multivariable logistic regression model was used to evaluate whether the MRE parameter predicted risk status after controlling for clinical factors. Results: 50 average risk and 86 high-risk patients were included. Risk groups were similar in age, density, and menopausal status. Among patients with dense breasts, mean stiffness, elasticity, and viscosity were significantly higher in high-risk patients (N = 55) compared to average risk patients (N = 34; all p < 0.001). Stiffness remained a significant predictor of risk status (OR = 4.26, 95% CI [1.96, 9.25]) even after controlling for breast density, BPE, age, and menopausal status. Similar results were seen for elasticity and viscosity. Conclusion: A structurally based, quantitative biomarker of tissue stiffness obtained from MRE is associated with differences in breast cancer risk in dense breasts. Tissue stiffness could provide a novel prognostic marker to help identify high-risk women with dense breasts who would benefit from increased surveillance and/or risk reduction measures.
KW - Breast MR imaging
KW - Breast cancer risk
KW - Breast elastography
KW - Breast stroma
KW - Breast tissue stiffness
KW - Dense breasts
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U2 - 10.1007/s10549-022-06607-2
DO - 10.1007/s10549-022-06607-2
M3 - Article
C2 - 35501423
AN - SCOPUS:85129841231
SN - 0167-6806
VL - 194
SP - 79
EP - 89
JO - Breast Cancer Research and Treatment
JF - Breast Cancer Research and Treatment
IS - 1
ER -