Literature DB >> 33685388

The relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients from a large clinical dataset.

Yu Ji1,2, Boxin Li1,2, Rui Zhao1,2, Ying Zhang1,2, Junjun Liu1,2, Hong Lu3,4.   

Abstract

BACKGROUND: The purpose of this study was to investigate the relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients included in a large clinical dataset.
METHODS: A review of mammographic images acquired between July 2014 and June 2017 from a total of 9716 retrospectively registered breast cancer patients was conducted. Mammographic breast density was defined according to the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) 4-class density rating. Mammographic lesion types were defined according to the ACR BI-RADS, including mass, mass with calcifications, calcifications, architectural distortion/asymmetries, and architectural distortion/asymmetries with calcifications. Three experienced breast radiologists interpreted all mammograms. The chi-square (χ2) test and Pearson correlation analyses were performed to assess the relationship between breast density, age, and mammographic lesion type.
RESULTS: A significant inverse relationship was observed between the BI-RADS breast density rating given by radiologists and patient age (r = - 0.521, p < 0.01). The breast density distribution in breast cancer patients from China reversed at the age of 55 years, and exhibited one age peak in the age 55-59 year group. The percentage of lesions with calcifications decreased with increasing age (p < 0.01), and increased with increasing breast density (p < 0.01).
CONCLUSIONS: In general, we identified a relationship between patient breast density, age, and mammographic lesion type. This finding may provide a basis for clinical diagnoses and support development of breast cancer screening programs in China.

Entities:  

Keywords:  Age; Breast cancer; Breast density; Chinese women; Mammographic lesion type

Mesh:

Year:  2021        PMID: 33685388      PMCID: PMC7938487          DOI: 10.1186/s12880-021-00565-9

Source DB:  PubMed          Journal:  BMC Med Imaging        ISSN: 1471-2342            Impact factor:   1.930


  21 in total

1.  Sonographic detection and sonographically guided biopsy of breast microcalcifications.

Authors:  Mary Scott Soo; Jay A Baker; Eric L Rosen
Journal:  AJR Am J Roentgenol       Date:  2003-04       Impact factor: 3.959

2.  Digital mammography screening: sensitivity of the programme dependent on breast density.

Authors:  Stefanie Weigel; W Heindel; J Heidrich; H-W Hense; O Heidinger
Journal:  Eur Radiol       Date:  2016-11-07       Impact factor: 5.315

3.  Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Authors:  Wendie A Berg; Andriy I Bandos; Ellen B Mendelson; Daniel Lehrer; Roberta A Jong; Etta D Pisano
Journal:  J Natl Cancer Inst       Date:  2015-12-28       Impact factor: 13.506

4.  The effect of age and density of the breast on the sensitivity of breast cancer diagnostic by mammography and ultasonography.

Authors:  I Saarenmaa; T Salminen; U Geiger; P Heikkinen; S Hyvärinen; J Isola; V Kataja; M L Kokko; R Kokko; E Kumpulainen; A Kärkkäinen; J Pakkanen; P Peltonen; A Piironen; A Salo; M L Talviala; M Haka
Journal:  Breast Cancer Res Treat       Date:  2001-05       Impact factor: 4.872

5.  Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers.

Authors:  M T Mandelson; N Oestreicher; P L Porter; D White; C A Finder; S H Taplin; E White
Journal:  J Natl Cancer Inst       Date:  2000-07-05       Impact factor: 13.506

6.  Risk for breast cancer development determined by mammographic parenchymal pattern.

Authors:  J N Wolfe
Journal:  Cancer       Date:  1976-05       Impact factor: 6.860

7.  Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography.

Authors:  Patricia A Carney; Diana L Miglioretti; Bonnie C Yankaskas; Karla Kerlikowske; Robert Rosenberg; Carolyn M Rutter; Berta M Geller; Linn A Abraham; Steven H Taplin; Mark Dignan; Gary Cutter; Rachel Ballard-Barbash
Journal:  Ann Intern Med       Date:  2003-02-04       Impact factor: 25.391

8.  Diagnostic accuracy of digital mammography in patients with dense breasts who underwent problem-solving mammography: effects of image processing and lesion type.

Authors:  Elodia B Cole; Etta D Pisano; Emily O Kistner; Keith E Muller; Marylee E Brown; Stephen A Feig; Roberta A Jong; Andrew D A Maidment; Melinda J Staiger; Cherie M Kuzmiak; Rita I Freimanis; Nadine Lesko; Eric L Rosen; Ruth Walsh; Margaret Williford; M Patricia Braeuning
Journal:  Radiology       Date:  2003-01       Impact factor: 11.105

Review 9.  Breast cancer in China.

Authors:  Lei Fan; Kathrin Strasser-Weippl; Jun-Jie Li; Jessica St Louis; Dianne M Finkelstein; Ke-Da Yu; Wan-Qing Chen; Zhi-Ming Shao; Paul E Goss
Journal:  Lancet Oncol       Date:  2014-06       Impact factor: 41.316

10.  Effects of age, breast density and volume on breast cancer diagnosis: a retrospective comparison of sensitivity of mammography and ultrasonography in China's rural areas.

Authors:  Feng-Liang Wang; Fei Chen; Hong Yin; Nan Xu; Xiao-Xiang Wu; Jing-Jing Ma; Shen Gao; Jin-Hai Tang; Cheng Lu
Journal:  Asian Pac J Cancer Prev       Date:  2013
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