Assessing breast tissue density by transillumination breast spectroscopy (TIBS): An intermediate indicator of cancer risk

British Journal of Radiology

Volumn 80, Issue 955, 2007, Pages 545-556

  Blackmore, K M ^a   Knight, J A ^b   Jong, R ^c   Lilge, Lothar ^a,d  

^a PRINCESS MARGARET HOSPITAL   (Canada)

^b MOUNT SINAI HOSPITAL   (Canada)

^c SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN; LIPID; WATER;

ADULT; AGED; ARTICLE; BREAST CANCER; CALCULATION; CANCER RISK; CANCER SCREENING; CHROMATOPHORE; CONFIDENCE INTERVAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PARENCHYMA; PRINCIPAL COMPONENT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SCORING SYSTEM; SPECTROSCOPY; WOMEN'S HEALTH;

ADULT; AREA UNDER CURVE; BREAST; BREAST NEOPLASMS; FEMALE; HUMANS; LOGISTIC MODELS; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT; SPECTROSCOPY, NEAR-INFRARED; TRANSILLUMINATION;

EID: 34548319074     PISSN: 00071285     EISSN: None     Source Type: Journal    
DOI: 10.1259/bjr/26858614     Document Type: Article

References (56)

1. National Cancer Institute of Canada. Canadian cancer statistics 2001. Toronto, Canada: National Cancer Institute of Canada.
2. National Cancer Institute of Canada. Canadian cancer statistics 2000. Toronto, Canada: National Cancer Institute of Canada.
3. Paci E, Duffy S, Rosseli di Truco M. Mammographic screenmg: from the scientific evidence to practice. In: The Oxford textbook of oncology. Oxford: Oxford University Press, 2000.
4. Salih AK, Fentiman IS. Breast cancer prevention: present and future. Cancer Treat Rev 2001;27:261-73.
5. Fabian CJ, Kilmer BF. Breast cancer chemoprevention: current challenges and a look toward the future. Clin Breast Cancer 2002;3:113-24.
6. Sakorafas GH, Krespis E, Pavlakis G. Risk estimation for breast cancer development; a clinical perspective. Surg Oncol 2002;10:183-92.
7. Sakorafas GH. The management of women at high risk for the development of breast cancer: risk estimation and preventative strategies. Cancer Treat Rev 2003;29:79-89.
8. Hartmann LC, Sellers TA, Schaid DJ, Nayfield S, Grant CS, Bjoraker JA, et al. Clinical options for women at high risk for breast cancer. Surg Clin North Am 1999;79:1189-206.
9. Dite GS, Jenkins MA, Southey MC, Hocking JS, Giles GG, McCredie MR, et al. Familial risks, early-onset breast cancer, and BRCA1 and BRCA2 germline mutations. J Natl Cancer Inst 2003;95:448-57.
10. Pike MC, Krailo MD, Henderson BE, Casagrande JT, Hoel DG. "Hormonal risk factors", "breast tissue age" and the age-incidence of breast cancer. Nature 1983;303:767-70.
11. Russo J, Hu YF, Silva IDCG, Russo IH. Cancer risk related to mammary gland structure and development. Microsc Res Tech 2001;52:204-23.
12. Drake DA. A longitudinal study of physical activity and breast cancer prediction. Cancer Nurs 2001;24:371-7.
13. Boyd NF, Greenberg C, Lockwood G, Little L, Martin L, Byng J, et al. Effect at two years of a low fat, high carbohydrate diet on radiologic features of the breast: results from a randomized trial. J Natl Cancer Inst 1997;89:488-96.
14. Boyd NF, Lockwood GA, Martin LJ, Byng JW, Yaffe MJ, Tritchler DL. Mammographic density as a marker of susceptibility to breast cancer: a hypothesis. In: Miller AB, Bartsch H, Boffetta P, Dragsted L, Vainio H, editors. Biomarkers in cancer prevention, IARC Scientific Publications No. 154. Lyon: International Agency for Research on Cancer, 2001.
15. Harvey J, Bovbjerg VE. Quantitative assessment of mammographic density: relationship with breast cancer risk. Radiology 2004;230:29-41.
16. Wolfe JN. Risk of breast cancer development determined by mammographic parenchymal pattern. Cancer 1976;37:2486-92.
17. Wolfe JN. Breast patterns as an index of risk for developing breast cancer. AJR Am J Roentgenol 1976;126:1130-7.
18. Boyd NF, O'Sullivan B, Campbell JE, et al. Mammographic signs as risk factors for breast cancer. Br J Cancer 1982;45:185-93.
19. Brisson J, Merletti F, Sadowsky NL. Mammographic features of the breast and breast cancer risk. Am J Epidemiol 1982;115:428-37.
20. Whitehead J, Carlile T, Kopecky KJ, Thompson DJ, Gilbert FI, Jr, Present AJ, et al. The relationship between Wolfe's classification of mammograms, accepted breast cancer risk factors and the incidence of breast cancer. Am J Epidemiol 1985;122:94-1006.
21. Wolfe JN, Saftlas AF, Salane M. Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study. AJR Am J Roentgenol 1987;148:1087-92.
22. Saftlas AF, Hoover RN, Brinton LA, Szklo M, Olson DR, Salane M, et al. Mammographic densities and risk of breast cancer. Cancer 1991;67:2833-38.
23. Oza AM, Boyd NF. Mammographic parenchymal patterns: a marker of breast cancer risk. Epidemiol Rev 1993;15:196-208.
24. Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, Miller AB, et al. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst 1995;87:670-5.
25. Boyd NF, Lockwood GA, Byng J, Tritchler DL, Yaffe M. Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev 1998;7:1133-44.
26. Yaffe MJ, Boyd NF, Byng JW, Jong RA, Fishell E, Lockwood GA, et al. Breast cancer risk and measured mammographic density. Eur J Cancer Prev 1998;7:S47-55.
27. Ringash J. Preventive health care, 2001 update: screening mammography among women aged 40-49 years at average risk of breast cancer. Can Med Assoc J 2001;164:469-76.
28. Erbas B, Amos A, Fletcher A, Kavanagh AM, Gertig DM. Incidence of invasive breast cancer and ductal carcinoma in situ in a screening program by age: should older women continue screening? Cancer Epidemiol Biomarkers Prev 2004;13:1569-73.
29. Graham SJ, Bronskill MJ, Byng JW, Yaffe MJ, Boyd NF. Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography. Br J Cancer 1996;73:162-8.
30. Lee NA, Rusinek H, Weinreb J, Chandra R, Toth, H, Singer C, et al. Fatty and fibroglandular tissue volumes in the breasts of women 20-83 years old: comparison of X-ray mammography and computer-assisted MR imaging. Am J Radiol 1997;168:501-6.
31. Blend R, Rideout DF, Kaizer L, Shannon P, Tudor-Roberts B, Boyd NF. Parenchymal patterns of the breast defined by real time ultrasound. Eur J Cancer Prev 1995;4:293-8.
32. Kaizer L, Fishell EK, Hunt JW, Foster FS, Boyd NF. Ultrasonographically defined parenchymal patterns of the breast: relationship to mammographic patterns and other risk factors for breast cancer. Br J Radiol 1988;61:118-24.
33. Wrensch MR, Petrakis NL, Miike R, King EB, Chew K, Neuhaus J, et al. Breast cancer risk in women with abnormal cytology in nipple aspirates of breast fluid. J Natl Cancer Inst 2001;93:1791-8.
34. Simick M. Near infrared transillumination spectroscopy of breast tissue for correlation with mammographic density. Master's thesis, Department of Medical Biophysics, University of Toronto, 2002.
35. Simick M, Jong R, Wilson B, Lilge L. Non-ionizing near-infrared radiation transillumination spectroscopy for breast tissue density and assessment of breast cancer risk. J Biomed Optics 2004;9:794-803.
36. Blyschak K, Simick M, Jong R, Lilge L. Classification of breast tissue density by optical transillumination spectroscopy: optical and physiological effects governing predictive value. Med Phys 2004;31:1398-414.
37. International Electrotechnical Commission. Group safety of laser products, Part 1: Equipment classification, requirements and user's guide. Geneva: IEC, 1993.
38. Egan RL, Dolan PD. Optical spectroscopy. Pre-mammography marker. Acta Radiol 1988;29:497-503.
39. Peters VG, Wyman DR, Patterson MS, Frank GL. Optical properties of normal and diseased human breast tissues in the visible and near infrared. Phys Med Biol 1990;35: 1317-34.
40. Key H, Davies ER, Jackson PC, Wells PN. Optical attenuation characteristics of breast tissues at visible and near-infrared wavelengths. Phys Med Biol 1991;36:579-90.
41. Tromberg BJ, Coquoz O, Fishkin JB, Pham T, Anderson ER, Butler J, et al. Non-invasive measurements of breast tissue optical properties using frequency-domain photon migration. Phil Trans R Soc London B Biol Sci 1997;352:661-8.
42. Quaresima V, Matcher SJ, Ferrari M. Identification and quantification of intrinsic optical contrast for near-infrared mammography. Photochem Photobiol 1998;67:4-14.
43. Cerussi AE, Berger AJ, Bevilacqua F, Shah N, Jakubowski D, Butler J, et al. Sources of absorption and scattering contrast for near-infrared optical mammography. Acad Radiol 2001;8:211-18.
44. Pogue BW, Poplack SP, McBride TO. Quantitative haemoglobin tomography with diffuse near-infrared spectroscopy: pilot results in the breast. Radiology 2001;218:2616.
45. Shah N, Cerussi A, Eker C, Espinoza J, Butler J, Fishkin J, et al. Noninvasive functional optical spectroscopy of human breast tissue. Proc Natl Acad Sci USA 2001;98:4420-5.
46. Durduran T, Choe R, Culver JP, Zubkov L, Holboke MJ, Giammarco J, et al. Bulk optical properties of healthy female breast tissue. Phys Med Biol 2002;47:2847-61.
47. Srinivasan S, Pogue B, Jiang S, Dehghani H, Kogel C, Soho S, et al. Interpreting haemoglobin and water concentration, oxygen saturation and scattering measured in vivo by near infrared breast tomography. Proc Natl Acad Sci USA 2003;100:12349-54.
48. Jong R, Fishell E, Little L, Lockwood G, Boyd NF. Mammographic signs of potential relevance to breast cancer risk: the agreement of radiologist's classification. Eur J Cancer Prev 1996;5:281-6.
49. Weersink RA, Marret LD, Lilge L. Validation of self-reported skin colour via principal component analysis of diffuse reflectance spectra of the skin. Proc Soc Photo-Opt Instrum Eng 2000;3917:232-7.
50. Wise BM. PLS tool box tutorial: MatLab, version 6. Seattle, WA: Eigenvector Research Inc., 2000.
51. Haaland DM, Thomas EV. Partial least squares methods for spectral analysis. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Anal Chem 1988;60:1193-202.
52. Haaland DM, Thomas EV. Partial least squares methods for spectral analysis. 2. Application to simulated and glass spectral data. Anal Chem 1988;60:1202-8.
53. Guo XP, Martin LJ, Hanna W, Benarjee D, Miller N, Fishell E, et al. Growth factors and stromal matrix protein associated with mammographic densities. Cancer Epidemiol Biomarkers Prev 2001;10:243-8.
54. Alowami S, Troup S, Al-Haddad S, Kitlepatrick I, Watson PM. Mammographic density is related to stroma and stromal proteoglycan expression. Breast Cancer Res 2003;5:R129-35.
55. Sala E, Warren R, McCann J, Duffy S, Leben R, Day N. High risk mammographic parenchymal patterns and anthropometric measures: a case control study. Br J Cancer 1999;81:1257-61.
56. Gram IT, Bremnes Y, Ursin G, Maskarinec G, Bjurstam N, Lund E. Percentage density, Wolfe's and Tabar's mammographic patterns: agreement and association with risk factors for breast cancer. Breast Cancer Res 2005;7:R854-61.