Quantitative assessment of breast density from digitized mammograms into Tabar's patterns

N. Jamal, K. H. Ng, L. M. Looi, D. McLean, A. Zulfiqar, S. P. Tan, W. F. Liew, A. Shantini, S. Ranganathan

    Research output: Contribution to journalArticle

    20 Citations (Scopus)

    Abstract

    We describe a semi-automated technique for the quantitative assessment of breast density from digitized mammograms in comparison with patterns suggested by Tabar. It was developed using the MATLAB-based graphical user interface applications. It is based on an interactive thresholding method, after a short automated method that shows the fibroglandular tissue area, breast area and breast density each time new thresholds are placed on the image. The breast density is taken as a percentage of the fibroglandular tissue to the breast tissue areas. It was tested in four different ways, namely by examining: (i) correlation of the quantitative assessment results with subjective classification, (ii) classification performance using the quantitative assessment technique, (iii) interobserver agreement and (iv) intraobserver agreement. The results of the quantitative assessment correlated well (r 2 = 0.92) with the subjective Tabar patterns classified by the radiologist (correctly classified 83% of digitized mammograms). The average kappa coefficient for the agreement between the readers was 0.63. This indicated moderate agreement between the three observers in classifying breast density using the quantitative assessment technique. The kappa coefficient of 0.75 for intraobserver agreement reflected good agreement between two sets of readings. The technique may be useful as a supplement to the radiologist's assessment in classifying mammograms into Tabar's pattern associated with breast cancer risk.

    Original languageEnglish
    Article number008
    Pages (from-to)5843-5857
    Number of pages15
    JournalPhysics in Medicine and Biology
    Volume51
    Issue number22
    DOIs
    Publication statusPublished - 21 Nov 2006

    Fingerprint

    breast
    Tissue
    Breast
    Graphical user interfaces
    MATLAB
    classifying
    Reading
    Breast Neoplasms
    graphical user interface
    supplements
    readers
    coefficients
    Breast Density
    cancer
    thresholds
    Radiologists

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Physics and Astronomy (miscellaneous)
    • Radiology Nuclear Medicine and imaging
    • Radiological and Ultrasound Technology

    Cite this

    Jamal, N., Ng, K. H., Looi, L. M., McLean, D., Zulfiqar, A., Tan, S. P., ... Ranganathan, S. (2006). Quantitative assessment of breast density from digitized mammograms into Tabar's patterns. Physics in Medicine and Biology, 51(22), 5843-5857. [008]. https://doi.org/10.1088/0031-9155/51/22/008

    Quantitative assessment of breast density from digitized mammograms into Tabar's patterns. / Jamal, N.; Ng, K. H.; Looi, L. M.; McLean, D.; Zulfiqar, A.; Tan, S. P.; Liew, W. F.; Shantini, A.; Ranganathan, S.

    In: Physics in Medicine and Biology, Vol. 51, No. 22, 008, 21.11.2006, p. 5843-5857.

    Research output: Contribution to journalArticle

    Jamal, N, Ng, KH, Looi, LM, McLean, D, Zulfiqar, A, Tan, SP, Liew, WF, Shantini, A & Ranganathan, S 2006, 'Quantitative assessment of breast density from digitized mammograms into Tabar's patterns', Physics in Medicine and Biology, vol. 51, no. 22, 008, pp. 5843-5857. https://doi.org/10.1088/0031-9155/51/22/008
    Jamal, N. ; Ng, K. H. ; Looi, L. M. ; McLean, D. ; Zulfiqar, A. ; Tan, S. P. ; Liew, W. F. ; Shantini, A. ; Ranganathan, S. / Quantitative assessment of breast density from digitized mammograms into Tabar's patterns. In: Physics in Medicine and Biology. 2006 ; Vol. 51, No. 22. pp. 5843-5857.
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