Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm

Leejane Lu, Thomas K. Nishino, Raleigh F. Johnson, Fatima Nayeem, Donald G. Brunder, Hyunsu Ju, Morton H. Leonard, James J. Grady, Tuenchit Khamapirad

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Women with mostly mammographically dense fibroglandular tissue (breast density, BD) have a four- to six-fold increased risk for breast cancer compared to women with little BD. BD is most frequently estimated from two-dimensional (2D) views of mammograms by a histogram segmentation approach (HSM) and more recently by a mathematical algorithm consisting of mammographic imaging parameters (MATH). Two non-invasive clinical magnetic resonance imaging (MRI) protocols: 3D gradient-echo (3DGRE) and short tau inversion recovery (STIR) were modified for 3D volumetric reconstruction of the breast for measuring fatty and fibroglandular tissue volumes by a Gaussian-distribution curve-fitting algorithm. Replicate breast exams (N = 2 to 7 replicates in six women) by 3DGRE and STIR were highly reproducible for all tissue-volume estimates (coefficients of variation <5%). Reliability studies compared measurements from four methods, 3DGRE, STIR, HSM, and MATH (N = 95 women) by linear regression and intra-class correlation (ICC) analyses. Rsqr, regression slopes, and ICC, respectively, were (1) 0.76-0.86, 0.8-1.1, and 0.87-0.92 for %-gland tissue, (2) 0.72-0.82, 0.64-0.96, and 0.77-0.91, for glandular volume, (3) 0.87-0.98, 0.94-1.07, and 0.89-0.99, for fat volume, and (4) 0.89-0.98, 0.94-1.00, and 0.89-0.98, for total breast volume. For all values estimated, the correlation was stronger for comparisons between the two MRI than between each MRI versus mammography, and between each MRI versus MATH data than between each MRI versus HSM data. All ICC values were >0.75 indicating that all four methods were reliable for measuring BD and that the mathematical algorithm and the two complimentary non-invasive MRI protocols could objectively and reliably estimate different types of breast tissues.

Original languageEnglish (US)
Pages (from-to)6903-6927
Number of pages25
JournalPhysics in Medicine and Biology
Volume57
Issue number21
DOIs
StatePublished - Nov 7 2012

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Mammography
Breast
Magnetic Resonance Imaging
Mammaplasty
Normal Distribution
Adipose Tissue
Breast Neoplasms
Breast Density

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm. / Lu, Leejane; Nishino, Thomas K.; Johnson, Raleigh F.; Nayeem, Fatima; Brunder, Donald G.; Ju, Hyunsu; Leonard, Morton H.; Grady, James J.; Khamapirad, Tuenchit.

In: Physics in Medicine and Biology, Vol. 57, No. 21, 07.11.2012, p. 6903-6927.

Research output: Contribution to journalArticle

Lu, L, Nishino, TK, Johnson, RF, Nayeem, F, Brunder, DG, Ju, H, Leonard, MH, Grady, JJ & Khamapirad, T 2012, 'Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm', Physics in Medicine and Biology, vol. 57, no. 21, pp. 6903-6927. https://doi.org/10.1088/0031-9155/57/21/6903
Lu, Leejane ; Nishino, Thomas K. ; Johnson, Raleigh F. ; Nayeem, Fatima ; Brunder, Donald G. ; Ju, Hyunsu ; Leonard, Morton H. ; Grady, James J. ; Khamapirad, Tuenchit. / Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm. In: Physics in Medicine and Biology. 2012 ; Vol. 57, No. 21. pp. 6903-6927.
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