Literature DB >> 33772708

Relationship between body mass index and malignancy rates of MRI-guided breast biopsies: impact of clinicodemographic factors.

Annie Tang1, Caitlin M Cohan2, Keith S Hansen2, Genna Beattie2, Heather I Greenwood3, Rita A Mukhtar2.   

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.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  BMI; Breast MRI; Disparities; High-risk screening; Obesity; Positive predictive value

Mesh:

Year:  2021        PMID: 33772708     DOI: 10.1007/s10549-021-06189-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  24 in total

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7.  Influence of personal characteristics of individual women on sensitivity and specificity of mammography in the Million Women Study: cohort study.

Authors:  Emily Banks; Gillian Reeves; Valerie Beral; Diana Bull; Barbara Crossley; Moya Simmonds; Elizabeth Hilton; Stephen Bailey; Nigel Barrett; Peter Briers; Ruth English; Alan Jackson; Elizabeth Kutt; Janet Lavelle; Linda Rockall; Matthew G Wallis; Mary Wilson; Julietta Patnick
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9.  Obesity and breast cancer risk for pre- and postmenopausal women among over 6 million Korean women.

Authors:  Jae Won Park; Kyungdo Han; Dong Wook Shin; Yohwan Yeo; Ji Won Chang; Jung Eun Yoo; Su-Min Jeong; Se-Kyung Lee; Jai Min Ryu; Yong-Moon Park
Journal:  Breast Cancer Res Treat       Date:  2020-10-03       Impact factor: 4.872

10.  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.

Authors:  Piet A van den Brandt; Regina G Ziegler; Molin Wang; Tao Hou; Ruifeng Li; Hans-Olov Adami; Claudia Agnoli; Leslie Bernstein; Julie E Buring; Yu Chen; Avonne E Connor; A Heather Eliassen; Jeanine M Genkinger; Gretchen Gierach; Graham G Giles; Gary G Goodman; Niclas Håkansson; Vittorio Krogh; Loic Le Marchand; I-Min Lee; Linda M Liao; M Elena Martinez; Anthony B Miller; Roger L Milne; Marian L Neuhouser; Alpa V Patel; Anna Prizment; Kim Robien; Thomas E Rohan; Norie Sawada; Leo J Schouten; Rashmi Sinha; Rachael Z Stolzenberg-Solomon; Lauren R Teras; Shoichiro Tsugane; Kala Visvanathan; Elisabete Weiderpass; Kami K White; Walter C Willett; Alicja Wolk; Anne Zeleniuch-Jacquotte; Stephanie A Smith-Warner
Journal:  Eur J Epidemiol       Date:  2020-10-30       Impact factor: 12.434

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