Literature DB >> 30255244

Breast density implications and supplemental screening.

Athina Vourtsis1, Wendie A Berg2.   

Abstract

Digital breast tomosynthesis (DBT) has been widely implemented in place of 2D mammography, although it is less effective in women with extremely dense breasts. Breast ultrasound detects additional early-stage, invasive breast cancers when combined with mammography; however, its relevant limitations, including the shortage of trained operators, operator dependence and small field of view, have limited its widespread implementation. Automated breast sonography (ABS) is a promising technique but the time to interpret and false-positive rates need to be improved. Supplemental screening with contrast-enhanced magnetic resonance imaging (MRI) in high-risk women reduces late-stage disease; abbreviated MRI protocols may reduce cost and increase accessibility to women of average risk with dense breasts. Contrast-enhanced digital mammography (CEDM) and molecular breast imaging improve cancer detection but require further validation for screening and direct biopsy guidance should be implemented for any screening modality. This article reviews the status of screening women with dense breasts. KEY POINTS: • The sensitivity of mammography is reduced in women with dense breasts. Supplemental screening with US detects early-stage, invasive breast cancers. • Tomosynthesis reduces recall rate and increases cancer detection rate but is less effective in women with extremely dense breasts. • Screening MRI improves early diagnosis of breast cancer more than ultrasound and is currently recommended for women at high risk. Risk assessment is needed, to include breast density, to ascertain who should start early annual MRI screening.

Entities:  

Keywords:  Breast cancer; Breast density; Magnetic resonance imaging; Screening ultrasound; Tomosynthesis

Mesh:

Year:  2018        PMID: 30255244      PMCID: PMC6420861          DOI: 10.1007/s00330-018-5668-8

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  118 in total

1.  Background parenchymal enhancement at breast MR imaging and breast cancer risk.

Authors:  Valencia King; Jennifer D Brooks; Jonine L Bernstein; Anne S Reiner; Malcolm C Pike; Elizabeth A Morris
Journal:  Radiology       Date:  2011-04-14       Impact factor: 11.105

2.  Rapid breast density analysis of partial volumes of automated breast ultrasound images.

Authors:  Woo Kyung Moon; Chung-Ming Lo; Jung Min Chang; Min Sun Bae; Won Hwa Kim; Chiun-Sheng Huang; Jeon-Hor Chen; Ming-Hong Kuo; Ruey-Feng Chang
Journal:  Ultrason Imaging       Date:  2013-10       Impact factor: 1.578

3.  Breast cancer screening effect across breast density strata: A case-control study.

Authors:  Daniëlle van der Waal; Theodora M Ripping; André L M Verbeek; Mireille J M Broeders
Journal:  Int J Cancer       Date:  2016-09-24       Impact factor: 7.396

4.  Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection-a novel approach to breast cancer screening with MRI.

Authors:  Christiane K Kuhl; Simone Schrading; Kevin Strobel; Hans H Schild; Ralf-Dieter Hilgers; Heribert B Bieling
Journal:  J Clin Oncol       Date:  2014-06-23       Impact factor: 44.544

Review 5.  Role of MRI in screening women at high risk for breast cancer.

Authors:  Constance D Lehman
Journal:  J Magn Reson Imaging       Date:  2006-11       Impact factor: 4.813

6.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

7.  Effectiveness of breast cancer surveillance in BRCA1/2 gene mutation carriers and women with high familial risk.

Authors:  C T Brekelmans; C Seynaeve; C C Bartels; M M Tilanus-Linthorst; E J Meijers-Heijboer; C M Crepin; A A van Geel; M Menke; L C Verhoog; A van den Ouweland; I M Obdeijn; J G Klijn
Journal:  J Clin Oncol       Date:  2001-02-15       Impact factor: 44.544

8.  Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS).

Authors:  M O Leach; C R M Boggis; A K Dixon; D F Easton; R A Eeles; D G R Evans; F J Gilbert; I Griebsch; R J C Hoff; P Kessar; S R Lakhani; S M Moss; A Nerurkar; A R Padhani; L J Pointon; D Thompson; R M L Warren
Journal:  Lancet       Date:  2005 May 21-27       Impact factor: 79.321

9.  Breast cancer screening using tomosynthesis in combination with digital mammography.

Authors:  Sarah M Friedewald; Elizabeth A Rafferty; Stephen L Rose; Melissa A Durand; Donna M Plecha; Julianne S Greenberg; Mary K Hayes; Debra S Copit; Kara L Carlson; Thomas M Cink; Lora D Barke; Linda N Greer; Dave P Miller; Emily F Conant
Journal:  JAMA       Date:  2014-06-25       Impact factor: 56.272

10.  Using sonography to screen women with mammographically dense breasts.

Authors:  Pavel Crystal; Selwyn D Strano; Semyon Shcharynski; Michael J Koretz
Journal:  AJR Am J Roentgenol       Date:  2003-07       Impact factor: 3.959

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  33 in total

Review 1.  The impact of mandatory mammographic breast density notification on supplemental screening practice in the United States: a systematic review.

Authors:  Meagan Brennan; Brooke Nickel; Shuangqin Huang; Nehmat Houssami
Journal:  Breast Cancer Res Treat       Date:  2021-03-28       Impact factor: 4.872

2.  Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.

Authors:  Alexander Ciritsis; Cristina Rossi; Matthias Eberhard; Magda Marcon; Anton S Becker; Andreas Boss
Journal:  Eur Radiol       Date:  2019-03-29       Impact factor: 5.315

3.  Efficacy of Affibody-Based Ultrasound Molecular Imaging of Vascular B7-H3 for Breast Cancer Detection.

Authors:  Rakesh Bam; Patrick S Lown; Lawrence A Stern; Karina Sharma; Katheryne E Wilson; Gregory R Bean; Amelie M Lutz; Ramasamy Paulmurugan; Benjamin J Hackel; Jeremy Dahl; Lotfi Abou-Elkacem
Journal:  Clin Cancer Res       Date:  2020-01-10       Impact factor: 12.531

Review 4.  Consensus Meeting of Breast Imaging: BI-RADS® and Beyond.

Authors:  Markus Müller-Schimpfle; Werner Bader; Pascal Baltzer; Maria Bernathova; Michael Fuchsjäger; Michael Golatta; Thomas H Helbich; Karin Hellerhoff; Sylvia H Heywang-Köbrunner; Claudia Kurtz; Alexander Mundinger; Katja C Siegmann-Luz; Per Skaane; Chistine Solbach; Stefanie Weigel
Journal:  Breast Care (Basel)       Date:  2019-10-02       Impact factor: 2.860

5.  Outcomes of Abbreviated MRI (Ab-MRI) for Women of any Breast Cancer Risk and Breast Density in a Community Academic Setting.

Authors:  Kaitlyn Kennard; Olivia Wang; Stephanie Kjelstrom; Sharon Larson; Lina M Sizer; Catherine Carruthers; William B Carter; Robin Ciocca; Jennifer Sabol; Thomas G Frazier; Ned Z Carp
Journal:  Ann Surg Oncol       Date:  2022-07-20       Impact factor: 4.339

Review 6.  AI-enhanced breast imaging: Where are we and where are we heading?

Authors:  Almir Bitencourt; Isaac Daimiel Naranjo; Roberto Lo Gullo; Carolina Rossi Saccarelli; Katja Pinker
Journal:  Eur J Radiol       Date:  2021-07-30       Impact factor: 4.531

Review 7.  Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Authors:  Krzysztof J Geras; Ritse M Mann; Linda Moy
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

8.  Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ.

Authors:  Linyong Wu; Yujia Zhao; Peng Lin; Hui Qin; Yichen Liu; Da Wan; Xin Li; Yun He; Hong Yang
Journal:  BMC Med Imaging       Date:  2021-05-17       Impact factor: 1.930

Review 9.  Cancer Progress and Priorities: Breast Cancer.

Authors:  Serena C Houghton; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05       Impact factor: 4.090

10.  Factors Influencing Mammographic Density in Asian Women: A Retrospective Cohort Study in the Northeast Region of Peninsular Malaysia.

Authors:  Tengku Muhammad Hanis; Wan Nor Arifin; Juhara Haron; Wan Faiziah Wan Abdul Rahman; Nur Intan Raihana Ruhaiyem; Rosni Abdullah; Kamarul Imran Musa
Journal:  Diagnostics (Basel)       Date:  2022-03-30
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