Literature DB >> 34268085

Mammography breast density: an effective supplemental modality for the precise grading of ultrasound BI-RADS 4 categories.

Wei-Min Li1, Qiu-Wei Sun1, Xiao-Fang Fan1, Jun-Chao Zhang1, Ting Xu2, Qi-Qi Shen1, Lei Jia1.   

Abstract

BACKGROUND: High breast density is significantly associated with an increased risk of breast diseases. Presently, suspected breast masses assessed as Breast Imaging-Reporting and Data System (BI-RADS) grade 4 provide a wide range of positive predictive values. Moreover, subcategories (4a, 4b, and 4c) are still under consideration as the diagnostic criteria are neither comprehensive nor objective. However, whether mammography breast density (MBD) has any impact on the accurate grading of BI-RADS 4 assessed by ultrasound (US) remains unknown.
METHODS: A total of 1,086 women with 1,293 breast masses were included and assessed as BI-RADS 3-5 by US. The subcategories of MBD (from the ACR-a to the ACR-d group) were assessed by mammography according to the criteria of the American College of Radiology (ACR). The clinicopathological characteristics of these patients were reviewed retrospectively. The malignancy rates of breast masses among different subgroups assessed by BI-RADS were re-estimated with MBD.
RESULTS: Almost all BI-RADS 3 masses were classified as benign and nearly all BI-RADS 5 masses were identified as malignant. Significant inverse associations between MBD and malignancy rates were detected between the BI-RADS 4a and BI-RADS 4b groups. Moreover, malignancy rates decreased significantly from ACR-a to ACR-d for BI-RADS 4a and 4b breast lesions (P<0.001). However, this trend was not observed in BI-RADS 4c breast lesions.
CONCLUSIONS: MBD could serve as a crucial factor for the accurate grading of BI-RADS 4 lesions assessed by US. We strongly recommend the adoption of the MBD as a possible supplemental screening modality for US. Furthermore, it is equally beneficial for accurate risk assessment and screening recommendations based on MBD. 2021 Gland Surgery. All rights reserved.

Entities:  

Keywords:  BI-RADS 4; Mammographic breast density (MBD); ultrasound (US)

Year:  2021        PMID: 34268085      PMCID: PMC8258872          DOI: 10.21037/gs-21-313

Source DB:  PubMed          Journal:  Gland Surg        ISSN: 2227-684X


  25 in total

1.  Role of multi-mode ultrasound in the diagnosis of level 4 BI-RADS breast lesions and Logistic regression model.

Authors:  Xiaoling Leng; Guofu Huang; Lanhui Yao; Fucheng Ma
Journal:  Int J Clin Exp Med       Date:  2015-09-15

2.  Incidence and Mortality and Epidemiology of Breast Cancer in the World.

Authors:  Mahshid Ghoncheh; Zahra Pournamdar; Hamid Salehiniya
Journal:  Asian Pac J Cancer Prev       Date:  2016

3.  Classification of normal screening mammograms is strongly influenced by perceived mammographic breast density.

Authors:  Zoey Zy Ang; Mohammad A Rawashdeh; Rob Heard; Patrick C Brennan; Warwick Lee; Sarah J Lewis
Journal:  J Med Imaging Radiat Oncol       Date:  2017-01-03       Impact factor: 1.735

Review 4.  BI-RADS update.

Authors:  Cecilia L Mercado
Journal:  Radiol Clin North Am       Date:  2014-05       Impact factor: 2.303

5.  Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?

Authors:  Sergio J Sanabria; Orcun Goksel; Katharina Martini; Serafino Forte; Thomas Frauenfelder; Rahel A Kubik-Huch; Marga B Rominger
Journal:  Eur Radiol       Date:  2018-03-19       Impact factor: 5.315

Review 6.  Angiogenesis, adipokines and breast cancer.

Authors:  Linda Vona-Davis; David P Rose
Journal:  Cytokine Growth Factor Rev       Date:  2009-06-10       Impact factor: 7.638

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Journal:  Aesthet Surg J       Date:  2015-10-23       Impact factor: 4.283

Review 8.  An overview of mammographic density and its association with breast cancer.

Authors:  Shayan Shaghayeq Nazari; Pinku Mukherjee
Journal:  Breast Cancer       Date:  2018-04-12       Impact factor: 4.239

9.  Mammographic density and breast cancer risk in breast screening assessment cases and women with a family history of breast cancer.

Authors:  Stephen W Duffy; Oliver W E Morrish; Prue C Allgood; Richard Black; Maureen G C Gillan; Paula Willsher; Julie Cooke; Karen A Duncan; Michael J Michell; Hilary M Dobson; Roberta Maroni; Yit Y Lim; Hema N Purushothaman; Tamara Suaris; Susan M Astley; Kenneth C Young; Lorraine Tucker; Fiona J Gilbert
Journal:  Eur J Cancer       Date:  2017-11-27       Impact factor: 9.162

10.  Mammographic density and breast cancer risk: a mediation analysis.

Authors:  Megan S Rice; Kimberly A Bertrand; Tyler J VanderWeele; Bernard A Rosner; Xiaomei Liao; Hans-Olov Adami; Rulla M Tamimi
Journal:  Breast Cancer Res       Date:  2016-09-21       Impact factor: 6.466

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