Literature DB >> 8546901

Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography.

S J Graham1, M J Bronskill, J W Byng, M J Yaffe, N F Boyd.   

Abstract

Previous investigators have shown that there is a strong association between the fraction of fibroglandular tissue within the breast as determined by X-ray mammography (per cent density) and breast cancer risk. In this study, the quantitative correlation between per cent density and two objective magnetic resonance (MR) parameters of breast tissue, relative water content and mean T2 relaxation time, as investigated for 42 asymptomatic subjects. Using newly developed, rapid techniques MR measurements were performed on a volume-of-interest incorporating equal, representative portions of both breasts. X-ray mammograms of each subject were digitised and analysed semiautomatically to determine per cent density. Relative water content showed a strong positive correlation with per cent density (Pearson correlation coefficient rp = 0.79, P < 0.0001) and mean T2 value showed a strong negative correlation with per cent density (rp = -0.61, P < 0.0001). The MR and X-ray parameters were also associated with sociodemographic and anthropometric risk factors for breast cancer (P < 0.05). The potential use of MR parameters to assess risk of breast cancer and to provide a frequent, non-hazardous monitor of breast parenchyma is discussed.

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Mesh:

Year:  1996        PMID: 8546901      PMCID: PMC2074314          DOI: 10.1038/bjc.1996.30

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  29 in total

1.  The quantitative analysis of mammographic densities.

Authors:  J W Byng; N F Boyd; E Fishell; R A Jong; M J Yaffe
Journal:  Phys Med Biol       Date:  1994-10       Impact factor: 3.609

Review 2.  Mammographic parenchymal pattern and breast cancer risk: a critical appraisal of the evidence.

Authors:  P J Goodwin; N F Boyd
Journal:  Am J Epidemiol       Date:  1988-06       Impact factor: 4.897

Review 3.  Epidemiologic aspects of breast cancer.

Authors:  J L Kelsey; N G Hildreth; W D Thompson
Journal:  Radiol Clin North Am       Date:  1983-03       Impact factor: 2.303

Review 4.  A different perspective on breast cancer risk factors: some implications of the nonattributable risk.

Authors:  H Seidman; S D Stellman; M H Mushinski
Journal:  CA Cancer J Clin       Date:  1982 Sep-Oct       Impact factor: 508.702

5.  Handling of in vitro human breast tissue samples: protocol requirements for accurate NMR relaxation measurements.

Authors:  W C Small; M B McSweeney; J H Goldstein; C W Sewell; R W Powell
Journal:  Biochem Biophys Res Commun       Date:  1983-05-16       Impact factor: 3.575

6.  Breast patterns as an index of risk for developing breast cancer.

Authors:  J N Wolfe
Journal:  AJR Am J Roentgenol       Date:  1976-06       Impact factor: 3.959

7.  Mammographic features of the breast and breast cancer risk.

Authors:  J Brisson; F Merletti; N L Sadowsky; J A Twaddle; A S Morrison; P Cole
Journal:  Am J Epidemiol       Date:  1982-03       Impact factor: 4.897

8.  Mammographic parenchymal patterns. Risk indicator for breast cancer?

Authors:  L Tabár; P B Dean
Journal:  JAMA       Date:  1982-01-08       Impact factor: 56.272

Review 9.  Potential role of tamoxifen in prevention of breast cancer.

Authors:  S G Nayfield; J E Karp; L G Ford; F A Dorr; B S Kramer
Journal:  J Natl Cancer Inst       Date:  1991-10-16       Impact factor: 13.506

10.  The feasibility of testing experimentally the dietary fat-breast cancer hypothesis.

Authors:  N F Boyd; M Cousins; G Lockwood; D Tritchler
Journal:  Br J Cancer       Date:  1990-12       Impact factor: 7.640

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  27 in total

1.  Characterization of engineered cartilage constructs using multiexponential T₂ relaxation analysis and support vector regression.

Authors:  Onyi N Irrechukwu; David A Reiter; Ping-Chang Lin; Remigio A Roque; Kenneth W Fishbein; Richard G Spencer
Journal:  Tissue Eng Part C Methods       Date:  2012-02-21       Impact factor: 3.056

Review 2.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

3.  Classification of breast computed tomography data.

Authors:  Thomas R Nelson; Laura I Cerviño; John M Boone; Karen K Lindfors
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

4.  Differences in breast density assessment using mammography, tomosynthesis and MRI and their implications for practice.

Authors:  A Tagliafico; G Tagliafico; N Houssami
Journal:  Br J Radiol       Date:  2013-10-28       Impact factor: 3.039

5.  Breast density estimation from high spectral and spatial resolution MRI.

Authors:  Hui Li; William A Weiss; Milica Medved; Hiroyuki Abe; Gillian M Newstead; Gregory S Karczmar; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-28

6.  A breast density index for digital mammograms based on radiologists' ranking.

Authors:  J M Boone; K K Lindfors; C S Beatty; J A Seibert
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

7.  Impact of skin removal on quantitative measurement of breast density using MRI.

Authors:  Ke Nie; Daniel Chang; Jeon-Hor Chen; Tzu-Ching Shih; Chieh-Chih Hsu; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

8.  Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI.

Authors:  Ke Nie; Daniel Chang; Jeon-Hor Chen; Chieh-Chih Hsu; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

Review 9.  Mammographic density is not a worthwhile examination to distinguish high cancer risk women in screening.

Authors:  Catherine Colin; Anne-Marie Schott; Pierre-Jean Valette
Journal:  Eur Radiol       Date:  2014-06-28       Impact factor: 5.315

10.  Multicomponent T2 relaxation analysis in cartilage.

Authors:  David A Reiter; Ping-Chang Lin; Kenneth W Fishbein; Richard G Spencer
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

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