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Mammographic Breast Glandularity in Malaysian Women: Data Derived from Radiography

Noriah Jamal1, Kwan-Hoong Ng1, Donald McLean2,3, Lai-Meng Looi4 and Fatimah Moosa1

1 Department of Radiology, University of Malaya, Kuala Lumpur 59100, Malaysia.
2 School of Medical Radiation Sciences, University of Sydney, Sydney, NSW 1825, Australia.
3 Medical Physics Department, Westmead Hospital, Sydney, NSW 2145, Australia.
4 Department of Pathology, University of Malaya, Kuala Lumpur 59100, Malaysia.



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Fig. 1. Model for breast glandularity evaluation shows relatively rectangular central area [15]. Shaded area represents adipose tissue. t = thickness.

 


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Fig. 2. Plot shows ability of fitted equation to correctly predict percentage of phantom glandularity on basis of recorded milliampere-seconds. Straight line is line of identity on which all points should fall. {diamond} = 3 cm, {blacksquare} = 4 cm, {circ} = 5 cm, x = 6 cm.

 


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Fig. 3. Plot shows variation of breast glandularity with increasing breast thickness. Error bars correspond to ± 1 SD of mean.

 


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Fig. 4. Graph shows mean glandularity plotted against age with no allowance for effects of breast thickness. Error bars correspond to ± 1 SD of mean.

 

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