Abstract
Purpose
To determine the positive predictive value (PPV) of magnetic resonance imaging (MRI)-guided breast biopsy stratified by body mass index (BMI). Secondary endpoints include evaluation of indications for breast MRI and identification of factors associated with malignant biopsy.
Methods
We retrospectively analyzed results of MRI-guided breast biopsies in a consecutive cohort of women at a single institution between 2014 and 2019. The PPV was compared between BMI subgroups and the overall group by the one-sample z-test. Factors associated with malignant biopsy were analyzed using multivariate regression analysis.
Results
Among 427 MRI-guided breast biopsies, the PPV was significantly higher in patients with a BMI ≥ 35 compared to BMI < 35 (38.6% versus 24.5%, p = 0.043). This remained true in the 180 biopsies from high-risk screening studies, but there was no difference in PPV by BMI in the 205 biopsies performed to evaluate extent of known disease. Among this cohort who underwent MRI-guided breast biopsy, the underlying indication for MRI was less likely to be high-risk screening in those with a higher BMI or Black or Hispanic race (p = 0.015 and p < 0.001, respectively). For high-risk screening studies, only BMI ≥ 35 was associated with malignant biopsies (OR 37.5, p = 0.003). For evaluation of extent of disease studies, only increased lesion size was a significant predictor of malignant result (OR 1.01, p = 0.04).
Conclusions
Among women who underwent MRI-guided breast biopsy, elevated BMI was associated with increased PPV and malignant biopsies. Patients with a higher BMI or Black or Hispanic race who had MRI-guided biopsy were less likely to be undergoing high-risk screening and more likely to have breast MRI to evaluate extent of known disease.
Similar content being viewed by others
Data availability
The datasets generated during and/or analyzed during the current study are not publicly available due to patient privacy laws but are available from the corresponding author on reasonable request.
References
Park JW, Han K, Shin DW et al (2021) Obesity and breast cancer risk for pre- and postmenopausal women among over 6 million Korean women. Breast Cancer Res Treat 185:495–506. https://doi.org/10.1007/s10549-020-05952-4
van den Brandt PA, Ziegler RG, Wang M et al (2021) Body size and weight change over adulthood and risk of breast cancer by menopausal and hormone receptor status: a pooled analysis of 20 prospective cohort studies. Eur J Epidemiol 36:37–55. https://doi.org/10.1007/s10654-020-00688-3
Njor SH, von Euler-Chelpin M, Tjønneland A et al (2016) Body weight and sensitivity of screening mammography. Eur J Cancer 60:93–100. https://doi.org/10.1016/j.ejca.2016.02.028
Neuhouser ML, Aragaki AK, Prentice RL et al (2015) Overweight, obesity, and postmenopausal invasive breast cancer risk: a secondary analysis of the women’s health initiative randomized clinical trials. JAMA Oncol 1:611–621. https://doi.org/10.1001/jamaoncol.2015.1546
Banks E, Reeves G, Beral V et al (2004) Influence of personal characteristics of individual women on sensitivity and specificity of mammography in the Million Women Study: cohort study. BMJ 329:477. https://doi.org/10.1136/bmj.329.7464.477
Elmore JG, Carney PA, Abraham LA et al (2004) The association between obesity and screening mammography accuracy. Arch Intern Med 164:1140–1147. https://doi.org/10.1001/archinte.164.10.1140
Hunt KA, Sickles EA (2000) Effect of obesity on screening mammography: outcomes analysis of 88,346 consecutive examinations. AJR Am J Roentgenol 174:1251–1255. https://doi.org/10.2214/ajr.174.5.1741251
Castro-Ibarra M, Menchaca-Díaz R, Cabrales-Ruvalcaba JJ, Luna-V Gómez RA (2016) False positive result in mammography and its association with the presence of obesity: a case-control study. Gac Med Mex 152:503–507
Destounis S, Newell M, Pinsky R (2011) Breast imaging and intervention in the overweight and obese patient. AJR Am J Roentgenol 196:296–302. https://doi.org/10.2214/AJR.10.5556
Saslow D, Boetes C, Burke W et al (2007) American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 57:75–89. https://doi.org/10.3322/canjclin.57.2.75
Gillman J, Chun J, Schwartz S et al (2016) The relationship of obesity, mammographic breast density, and magnetic resonance imaging in patients with breast cancer. Clin Imaging 40:1167–1172. https://doi.org/10.1016/j.clinimag.2016.08.009
Consultation WH (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 894:i–xii, 1–253
Deglise C, Bouchardy C, Burri M et al (2010) Impact of obesity on diagnosis and treatment of breast cancer. Breast Cancer Res Treat 120:185–193. https://doi.org/10.1007/s10549-009-0459-1
Wee CC, McCarthy EP, Davis RB, Phillips RS (2004) Obesity and breast cancer screening. J Gen Intern Med 19:324–331. https://doi.org/10.1111/j.1525-1497.2004.30354.x
Bussière C, Sicsic J, Pelletier-Fleury N (2014) The effects of obesity and mobility disability in access to breast and cervical cancer screening in france: results from the national health and disability survey. PLoS ONE 9:e104901. https://doi.org/10.1371/journal.pone.0104901
Miles RC, Lehman CD, Mercaldo SF et al (2019) Obesity and breast cancer screening: cross-sectional survey results from the behavioral risk factor surveillance system. Cancer 125:4158–4163. https://doi.org/10.1002/cncr.32430
Smith H, Chetlen AL, Schetter S et al (2014) PPV(3) of suspicious breast MRI findings. Acad Radiol 21:1553–1562. https://doi.org/10.1016/j.acra.2014.07.013
Han B-K, Schnall MD, Orel SG, Rosen M (2008) Outcome of MRI-guided breast biopsy. AJR Am J Roentgenol 191:1798–1804. https://doi.org/10.2214/AJR.07.2827
Kuhl CK, Keulers A, Strobel K et al (2018) Not all false positive diagnoses are equal: on the prognostic implications of false-positive diagnoses made in breast MRI versus in mammography/digital tomosynthesis screening. Breast Cancer Res 20:13. https://doi.org/10.1186/s13058-018-0937-7
Gutierrez RL, Demartini WB, Eby P et al (2009) Clinical indication and patient age predict likelihood of malignancy in suspicious breast MRI lesions. Acad Radiol 16:1281–1285. https://doi.org/10.1016/j.acra.2009.04.012
Harris DM, Miller JE, Davis DM (2003) Racial differences in breast cancer screening, knowledge and compliance. J Natl Med Assoc 95:693–701
Harper S, Lynch J, Meersman SC et al (2009) Trends in area-socioeconomic and race-ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50 years and over (1987–2005). Cancer Epidemiol Biomark Prev 18:121–131. https://doi.org/10.1158/1055-9965.EPI-08-0679
Haas JS, Hill DA, Wellman RD et al (2016) Disparities in the use of screening magnetic resonance imaging of the breast in community practice by race, ethnicity, and socioeconomic status. Cancer 122:611–617. https://doi.org/10.1002/cncr.29805
Miles RC, Onega T, Lee CI (2018) Addressing potential health disparities in the adoption of advanced breast imaging technologies. Acad Radiol 25:547–551. https://doi.org/10.1016/j.acra.2017.05.021
Ogden CL, Carroll MD, Kit BK, Flegal KM (2014) Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 311:806–814. https://doi.org/10.1001/jama.2014.732
Burkheimer E, Starks L, Khan M et al (2019) The impact of obesity on treatment choices and outcomes in operable breast cancer. Am J Surg 217:474–477. https://doi.org/10.1016/j.amjsurg.2018.10.048
Acknowledgements
The authors would like to thank Pamela Derish in the UCSF Department of Surgery for assistance in editing this manuscript.
Funding
No funding was provided for this study.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors report no conflict of interest in any product mentioned or concept discussed in this article. This study has not been presented or published.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Tang, A., Cohan, C.M., Hansen, K.S. et al. Relationship between body mass index and malignancy rates of MRI-guided breast biopsies: impact of clinicodemographic factors. Breast Cancer Res Treat 188, 739–747 (2021). https://doi.org/10.1007/s10549-021-06189-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10549-021-06189-5