Mammographic Pattern Analysis: An Emerging Risk Assessment Tool

Academic Radiology

Volumn 14, Issue 5, 2007, Pages 511-512

  Karellas, Andrew ^a  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRCA1 PROTEIN; BRCA2 PROTEIN;

BREAST CANCER; CANCER RISK; CANCER SCREENING; COMPUTER ASSISTED TOMOGRAPHY; DIGITAL MAMMOGRAPHY; EDITORIAL; GENE MUTATION; GENOTYPE; HUMAN; IMAGING SYSTEM; MAMMOGRAPHY; PRIORITY JOURNAL; RISK ASSESSMENT;

BREAST NEOPLASMS; FEMALE; FRACTALS; GENES, BRCA1; GENES, BRCA2; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MAMMOGRAPHY; MUTATION; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RISK ASSESSMENT;

EID: 34047268558     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2007.03.003     Document Type: Editorial

References (16)

1. Li H., Giger M.L., Olopade O.I., and Lan L. Fractal Analysis of Mammographic Parenchymal Patterns in Breast Cancer Risk Assessment. Acad Radiol (2007) 513-521
2. Boyd N.F., Byng J.W., Jong R.A., et al. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst 87 (1995) 670-675
3. Boyd N.F., Guo H., Martin L.J., et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med 356 (2007) 227-236
4. Byrne C. Mammographic density: a breast cancer risk factor or diagnostic indicator?. Acad Radiol 9 (2002) 253-255
5. Saftlas A.F., Hoover R.N., Brinton L.A., et al. Mammographic densities and risk of breast cancer. Cancer 67 (1991) 2833-2838
6. Byrne C., Schairer C., Wolfe J., et al. Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst 87 (1995) 1622-1629
7. Wolfe J.N. Breast patterns as an index of risk for developing breast cancer. AJR Am J Roentgenol 126 (1976) 1130-1137
8. Wolfe J.N., Saftlas A.F., and Salane M. Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study. AJR Am J Roentgenol 148 (1987) 1087-1092
9. Tahoces P.G., Correa J., Souto M., Gomez L., and Vidal J.J. Computer-assisted diagnosis: the classification of mammographic breast parenchymal patterns. Phys Med Biol 40 (1995) 103-117
10. Malone K.E., Daling J.R., Doody D.R., et al. Prevalence and Predictors of BRCA1 and BRCA2 Mutations in a Population-Based Study of Breast Cancer in White and Black American Women Ages 35 to 64 Years. Cancer Res 66 (2006) 8297-8308
11. Anglian Breast Cancer Study Group. Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. Br J Cancer 83 (2000) 1301-1308
12. Huo Z., Giger M.L., Olopade O.I., et al. Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology 225 (2002) 519-526
13. Huo Z., Giger M.L., Wolverton D.E., Zhong W., Cumming S., and Olopade O.I. Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: feature selection. Med Phys 27 (2000) 4-12
14. Li H., Giger M.L., Olopade O.I., Margolis A., and Lan L. Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. Acad Radiol 12 (2005) 863-873
15. Niklason L.T., Christian B.T., Niklason L.E., et al. Digital Tomosynthesis in breast imaging. Radiology 205 (1997) 399-406
16. Boone J.M., Nelson T.R., Lindfors K.K., and Seibert J.A. Dedicated breast CT: radiation dose and image quality evaluation. Radiology 221 (2001) 657-667