Radiologist assessment of breast density by BI-RADS categories versus fully automated volumetric assessment

American Journal of Roentgenology

Volumn 201, Issue 3, 2013, Pages 692-697

  Gweon, Hye Mi ^a   Youk, Ji Hyun ^a   Kim, Jeong Ah ^a   Son, Eun Ju ^a  

^a Yonsei University College of Medicine   (South Korea)

Author keywords

Automated evaluation; Breast density; Breast imaging; Mammography

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; ARTICLE; AUTOMATION; BREAST CANCER; BREAST DENSITY; BREAST IMAGING REPORTING AND DATA SYSTEM; COMPUTER PROGRAM; CORRELATION ANALYSIS; DISEASE CLASSIFICATION; FEMALE; FULLY AUTOMATED VOLUMETRIC ASSESSMENT; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PHYSICAL PARAMETERS; PRIORITY JOURNAL; RADIOLOGIST; VOLUMETRY;

ADULT; AGED; AGED, 80 AND OVER; BREAST NEOPLASMS; FEMALE; HUMANS; MAMMOGRAPHY; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOFTWARE;

EID: 84884635213     PISSN: 0361803X     EISSN: 15463141     Source Type: Journal    
DOI: 10.2214/AJR.12.10197     Document Type: Article

References (29)

1. D'Orsi CJ, Mendelson EB, Ikeda DM, et al. Breast Imaging Reporting and Data System: ACR BI-RADS -breast imaging atlas. Reston, VA: American College of Radiology, 2003
2. Kerlikowske K, Grady D, Barclay J, et al. Variability and accuracy in mammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System. J Natl Cancer Inst 1998; 90:1801-1809
3. Berg WA, Campassi C, Langenberg P, Sexton MJ. Breast Imaging Reporting and Data System: interand intraobserver variability in feature analysis and final assessment. AJR 2000; 174:1769-1777
4. Martin KE, Helvie MA, Zhou C, et al. Mammographic density measured with quantitative computer-aided method: comparison with radiologists' estimates and BI-RADS categories. Radiology 2006; 240:656-665
5. Wolfe JN. Risk for breast cancer development determined by mammographic parenchymal pattern. Cancer 1976; 37:2486-2492
6. Gram IT, Funkhouser E, Tabar L. The Tabar classification of mammographic parenchymal patterns. Eur J Radiol 1997; 24:131-136
7. Byng JW, Boyd NF, Fishell E, Jong RA, Yaffe MJ. The quantitative analysis of mammographic densities. Phys Med Biol 1994; 39:1629-1638
8. Sivaramakrishna R, Obuchowski NA, Chilcote WA, Powell KA. Automatic segmentation of mammographic density. Acad Radiol 2001; 8:250-256
9. Prevrhal S, Shepherd JA, Smith-Bindman R, Cummings SR, Kerlikowske K. Accuracy of mammographic breast density analysis: results of formal operator training. Cancer Epidemiol Biomarkers Prev 2002; 11:1389-1393
10. Highnam RP, Brady JM, Shepstone BJ. Mammographic image analysis. Eur J Radiol 1997; 24:20-32
11. Highnam R, Pan X, Warren R, Jeffreys M, Davey Smith G, Brady M. Breast composition measurements using retrospective standard mammogram form (SMF). Phys Med Biol 2006; 51:2695-2713
12. Jeffreys M, Warren R, Highnam R, Smith GD. Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form. Br J Radiol 2006; 79:378-382
13. Tagliafico A, Tagliafico G, Astengo D, et al. Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software. Eur Radiol 2012; 22:1265-1270
14. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33:159-174
15. Brisson J, Diorio C, Masse B. Wolfe's parenchymal pattern and percentage of the breast with mammographic densities: redundant or complementary classifications? Cancer Epidemiol Biomarkers Prev 2003; 12:728-732
16. Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA. Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 2000; 11:653-662
17. Boyd NF, Dite GS, Stone J, et al. Heritability of mammographic density, a risk factor for breast cancer. N Engl J Med 2002; 347:886-894
18. Ursin G, Ma H, Wu AH, et al. Mammographic density and breast cancer in three ethnic groups. Cancer Epidemiol Biomarkers Prev 2003; 12:332-338
19. Chen Z, Wu AH, Gauderman WJ, et al. Does mammographic density reflect ethnic differences in breast cancer incidence rates? Am J Epidemiol 2004; 159:140-147
20. Boyd NF, Guo H, Martin LJ, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med 2007; 356:227-236
21. Harvey JA, Bovbjerg VE. Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology 2004; 230:29-41
22. Tagliafico A, Tagliafico G, Tosto S, et al. Mammographic density estimation: comparison among BI-RADS categories, a semi-automated software and a fully automated one. Breast 2009; 18:35-40
23. Lokate M, Kallenberg MG, Karssemeijer N, Van den Bosch MA, Peeters PH, Van Gils CH. Volumetric breast density from full-field digital mammograms and its association with breast cancer risk factors: a comparison with a threshold method. Cancer Epidemiol Biomarkers Prev 2010; 19:3096-3105
24. Tyson AH, Mawdsley GE, Yaffe MJ. Measurement of compressed breast thickness by optical stereoscopic photogrammetry. Med Phys 2009; 36:569-576
25. Mawdsley GE, Tyson AH, Peressotti CL, Jong RA, Yaffe MJ. Accurate estimation of compressed breast thickness in mammography. Med Phys 2009; 36:577-586
26. Dorgan JF, Klifa C, Shepherd JA, et al. Height, adiposity and body fat distribution and breast density in young women. Breast Cancer Res 2012; 14:R107
27. Stone J, Warren RM, Pinney E, Warwick J, Cuzick J. Determinants of percentage and area measures of mammographic density. Am J Epidemiol 2009; 170:1571-1578
28. Aitken Z, McCormack VA, Highnam RP, et al. Screen-film mammographic density and breast cancer risk: a comparison of the volumetric standard mammogram form and the interactive threshold measurement methods. Cancer Epidemiol Biomarkers Prev 2010; 19:418-428
29. Jeffreys M, Warren R, Highnam R, Davey Smith G. Breast cancer risk factors and a novel measure of volumetric breast density: cross-sectional study. Br J Cancer 2008; 98:210-216