Literature DB >> 25683369

The connecticut experiments second year: ultrasound in the screening of women with dense breasts.

Jean Weigert1, Sarah Steenbergen.   

Abstract

To determine if the addition of screening breast ultrasound in women with mammographically normal but dense breasts improves breast cancer detection. The study utilized a retrospective chart review. Data collected included: (a) total number of screening mammograms; (b) total number of dense breast screening ultrasounds; (c) screening ultrasound Breast Imaging Reporting Data System (BI-RADS) code results; (d) biopsy results; and (e) demographic data on women with malignant biopsies. Data were obtained from sites throughout Connecticut from November 1, 2010 to October 31, 2011. Data from 5 Connecticut radiology practices covering 10 sites were collected. Sites conducted a total of 57,417 screening mammograms and 10,282 dense breast screening ultrasounds. Of the screening ultrasounds, 87% (8,972/10,282) were BI-RADS 1 or 2, 9% (875/10,282) were BI-RADS 3, 4% (435/10,282) were BI-RADS 4 or 5, and 39 were found to have a cancer or high-risk lesion on biopsy. This correlates to 3.8 cancers or high-risk lesions per 1,000 women screened. If high-risk lesions are excluded, there are 24 cases of biopsy proven malignancy corresponding to 2.3 cancers per 1,000 women screened. In this study, screening breast ultrasound in women with mammographically normal but dense breasts demonstrated a positive predictive value of 9% (39/435) and specificity of 96% (8,972/9,368). Based on the data collected from sites throughout Connecticut, screening breast ultrasound in women with dense breast parenchyma detects mammographically occult malignancy and high-risk lesions. The results are especially significant given recent studies suggesting that breast density is an independent risk factor for breast cancer and that mammography is less effective in detecting cancer in dense breasts. The improved specificity and sensitivity between the 1st and 2nd years' suggests there is a learning curve that may continue to improve the results.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  breast cancer; breast density; breast ultrasound; mammography

Mesh:

Year:  2015        PMID: 25683369     DOI: 10.1111/tbj.12386

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  17 in total

1.  Preliminary Clinical Experience with a Combined Automated Breast Ultrasound and Digital Breast Tomosynthesis System.

Authors:  Eric D Larson; Won-Mean Lee; Marilyn A Roubidoux; Mitchell M Goodsitt; Chris Lashbrook; Cynthia E Davis; Oliver D Kripfgans; Paul L Carson
Journal:  Ultrasound Med Biol       Date:  2018-01-05       Impact factor: 2.998

2.  Influences of race and breast density on related cognitive and emotion outcomes before mandated breast density notification.

Authors:  Mark Manning; Terrance L Albrecht; Zeynep Yilmaz-Saab; Julie Shultz; Kristen Purrington
Journal:  Soc Sci Med       Date:  2016-10-10       Impact factor: 4.634

3.  Chronological Trends of Breast Ductal Carcinoma In Situ: Clinical, Radiologic, and Pathologic Perspectives.

Authors:  Si Eun Lee; Ha Yan Kim; Jung Hyun Yoon; Eun-Kyung Kim; Jee Ye Kim; Min Jung Kim; Ga Ram Kim; Youngjean Vivian Park; Hee Jung Moon
Journal:  Ann Surg Oncol       Date:  2021-07-01       Impact factor: 5.344

4.  Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging.

Authors:  Eric D Larson; Won-Mean Lee; Marilyn A Roubidoux; Mitchel M Goodsitt; Chris Lashbrook; Fouzaan Zafar; Oliver D Kripfgans; Kai Thomenius; Paul L Carson
Journal:  Ultrasound Med Biol       Date:  2016-06-03       Impact factor: 2.998

5.  Between-Race Differences in Supplemental Breast Cancer Screening Before and After Breast Density Notification Law.

Authors:  Mark Manning; Terrance L Albrecht; Suzanne O'Neill; Kristen Purrington
Journal:  J Am Coll Radiol       Date:  2018-10-17       Impact factor: 5.532

6.  Explaining between-race differences in African-American and European-American women's responses to breast density notification.

Authors:  Mark Manning; Terrance L Albrecht; Zeynep Yilmaz-Saab; Louis Penner; Andria Norman; Kristen Purrington
Journal:  Soc Sci Med       Date:  2017-10-30       Impact factor: 4.634

7.  Between-race differences in the effects of breast density information and information about new imaging technology on breast-health decision-making.

Authors:  Mark Manning; Kristen Purrington; Louis Penner; Neb Duric; Terrance L Albrecht
Journal:  Patient Educ Couns       Date:  2016-01-18

8.  Characteristics of breast cancer detected by supplementary screening ultrasonography.

Authors:  Hee Jung Moon; Eun-Kyung Kim
Journal:  Ultrasonography       Date:  2015-05-24

9.  Breast cancer screening: Evidence of the effect of adjunct ultrasound screening in women with unilateral mammography-negative dense breasts.

Authors:  Atoosa Adibi; Maryam Golshahi; Mehri Sirus; Kimia Kazemi
Journal:  J Res Med Sci       Date:  2015-03       Impact factor: 1.852

10.  Medical auditing of whole-breast screening ultrasonography.

Authors:  Min Jung Kim
Journal:  Ultrasonography       Date:  2017-02-16
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