Computing mammographic density from a multiple regression model constructed with image-acquisition parameters from a full-field digital mammographic unit

Physics in Medicine and Biology

Volumn 52, Issue 16, 2007, Pages 4905-4921

  Lu, Lee Jane W ^a   Nishino, Thomas K ^a   Khamapirad, Tuenchit ^a   Grady, James J ^a   Leonard Jr , Morton H ^a   Brunder, Donald G ^b  

^a University of Texas Medical Branch School of Medicine   (United States)

^b UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; IMAGE ACQUISITION; IMAGE SEGMENTATION; PARAMETER ESTIMATION; REGRESSION ANALYSIS;

COMPUTING MAMMOGRAPHIC DENSITY; DIGITAL MAMMOGRAPHIC UNITS; HISTOGRAM SEGMENTATION METHOD (HSM); IMAGE-ACQUISITION PARAMETERS;

MAMMOGRAPHY;

ARTICLE; BREAST; COMPRESSION; CORRELATION COEFFICIENT; DENSITY; DIGITAL IMAGING; FEMALE; HISTOGRAM; HUMAN; IMAGE RECONSTRUCTION; MAMMOGRAPHY; MATHEMATICAL MODEL; MULTIPLE REGRESSION; PREDICTOR VARIABLE; PRIORITY JOURNAL; RADIATION DOSE; STATISTICAL ANALYSIS; THICKNESS;

ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; DENSITOMETRY, X-RAY; FEMALE; HUMANS; MAMMOGRAPHY; MODELS, BIOLOGICAL; MODELS, STATISTICAL; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34547806215     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/52/16/013     Document Type: Article

References (30)

1. ACS (American Cancer Society) 2006 Cancer Facts and Figures (Atlanta, GA: American Cancer Society) http://www.cancer.org/downloads/STT/ CAFF2005f4PWSecured.pdf
2. BI-RADS 1995 Breast Imaging Reporting and Data System (BI-RADS) (Reston, VA: American College of Radiology)
3. Boyd N F, Byng J W, Jong R A, Fishell E K, Little L E, Miller A B, Lockwood G A, Tritchler D L and Yaffe M J 1995 Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study J. Natl Cancer Inst. 87 670-5
4. Breitenstein D S and Shaw C C 1998 Comparison of three tissue composition measurement techniques using digital mammograms-a signal-to-noise study J. Digit. Imaging 11 137-50
5. Brisson J, Diorio C and Masse B 2003 Wolfe's parenchymal pattern and percentage of the breast with mammographic densities: redundant or complementary classifications? Cancer Epidemiol. Biomarkers Prevent. 12 728-32
6. Byng J W, Boyd N F, Fishell E, Jong R A and Yaffe M J 1996 Automated analysis of mammographic densities Phys. Med. Biol. 41 909-23
7. Byng J W, Yaffe M J, Lockwood G A, Little L E, Tritchler D L and Boyd N F 1997 Automated analysis of mammographic densities and breast carcinoma risk Cancer 80 66-74
8. Byrne C, Schairer C, Wolfe J, Parekh N, Salane M, Brinton L A, Hoover R and Haile R 1995 Mammographic features and breast cancer risk: effects with time, age, and menopause status J. Natl Cancer Inst. 87 1622-9
9. Chevalier M et al 2004 Patient dose in digital mammography Med. Phys. 31 471-9
10. Feig S A 1992 Breast masses: mammographic and sonographic evaluation Radiol. Clin. N. Am. 30 67-92
11. Fischer U, Hermann K P and Baum F 2006 Digital mammography: current state and future aspects Eur. Radiol. 16 38-44
12. Gram I T, Funkhouser E and Tabar L 1997 The Tabar classification of mammographic parenchymal patterns Eur. J. Radiol. 24 131-6
13. Heine J J and Malhotra P 2002 Mammographic tissue, breast cancer risk, serial image analysis, and digital mammography: Part 1. Tissue and related risk factors Acad. Radiol. 9 298-316
14. Heine J J and Velthuizen R P 2000 A statistical methodology for mammographic density detection Med. Phys. 27 2644-51
15. Highnam R, Brady M, English R, Highnam R, Brady M and English R 1999 Detecting film-screen artifacts in mammography using a model-based approach IEEE Trans. Med. Imaging 18 1016-24
16. Karssemeijer N 1998 Automated classification of parenchymal patterns in mammograms Phys. Med. Biol. 43 365-78
17. Kato I, Beinart C, Bleich A, Su S, Kim M and Toniolo P G 1995 A nested case-control study of mammographic patterns, breast volume, and breast cancer (New York City, NY, United States) Cancer Causes Control 6 431-8
18. Kaufhold J, Thomas J A, Eberhard J W, Galbo C E, Trotter D E, Kaufhold J, Thomas J A, Eberhard J W, Galbo C E and Trotter D E G 2002 A calibration approach to glandular tissue composition estimation in digital mammography Med. Phys. 29 1867-80
19. Klausz R and Shramchenko N 2005 Dose to population as a metric in the design of optimised exposure control in digital mammography Radiat. Protect. Dosim. 114 369-74
20. Oza A M and Boyd N F 1993 Mammographic parenchymal patterns: a marker of breast cancer risk Epidemiol. Rev. 15 196-208
21. Saftlas A F and Szklo M 1987 Mammographic parenchymal patterns and breast cancer risk Epidemiol. Rev. 9 146-74
22. Saha P K, Udupa J K, Conant E F, Chakraborty D P and Sullivan D 2001 Breast tissue density quantification via digitized mammograms IEEE Trans. Med. Imaging 20 792-803
23. Shramchenko N, Blin P, Mathey C and Klausz R 2004 Optimized exposure control in digital mammography Physics of Medical Imaging: Proc. SPIE 5368 445-56
24. Sivaramakrishna R, Obuchowski N A, Chilcote W A and Powell K A 2001 Automatic segmentation of mammographic density Acad. Radiol. 8 250-56
25. Ursin G, Astrahan M A, Salane M, Parisky Y R, Pearce J G, Daniels J R, Pike M C and Spicer D V 1998 The detection of changes in mammographic densities Cancer Epidemiol. Biomarkers Prevent. 7 43-7
26. Vedantham S, Karellas A, Suryanarayanan S, Albagli D, Han S, Tkaczyk E J, Landberg C E, Opsahl-Ong B, Granfors P R, Levis I, D'Orsi C J and Hendrick R E 2000 Full breast digital mammography with an amorphous silicon-based flat panel detector: Physical characteristics of a clinical prototype Med. Phys. 27 558-67
27. Wolfe J N 1976a Breast patterns as an index of risk for developing breast cancer Am. J. Roentgenol. (AJR) 126 1130-7
28. Wolfe J N 1976b Risk for breast cancer development determined by mammographic parenchymal pattern Cancer 372 486-92
29. Wolfe J N, Saftlas A F, Salane M, Wolfe J N, Saftlas A F and Salane M 1987 Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study Am. J. Roentgenol. (AJR) 148 1087-92
30. Zhou C, Chan H P, Petrick N, Helvie M A, Goodsitt M M, Sahiner B and Hadjiiski L M 2001 Computerized image analysis: estimation of breast density on mammograms Med. Phys. 28 1056-69