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Published on: August 30, 2013
Mammographic density and cancer detection: does digital imaging challenge our current understanding?
Dana S Al Mousa1, Claudia Mello-Thoms1, Elaine A Ryan1
1Medical Image Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Sydney, NSW, Australia.
Rationale And Objectives:
To investigate the impact of breast density on the performance of radiologists when mammograms are digitally acquired and displayed.
Materials And Methods:
A total of 150 craniocaudal digital mammograms including 75 cases with cancer were examined by 14 radiologists divided into two groups: those who read more (six) and less (eight) than 2000 mammograms per year. Cases were classified as low or high mammographic density. For both types of cases, detection of cancers within and outside the dense fibroglandular tissue was investigated. The performance of radiologist was measured using jack-knife free-response receiver operating characteristic (JAFROC) figure of merit (FOM).
Results:
Radiologists with over 2000 annual reads had significantly higher JAFROC FOM (P = .03) for high (0.76) mammographic density compared to low (0.70) mammographic density cases. When lesions overlaid the fibroglandular tissue, cases with high mammographic density compared to low mammographic density displayed increased location sensitivity for all radiologists (P = .03) and for those radiologists reading more than 2000 mammograms annually (P = .04), whereas JAFROC FOMs increased for all radiologists (P = .05). No significant changes were observed when the lesion was outside the fibroglandular region.
Conclusions:
Increased mammographic density improves the performance of experienced radiologists when using digital mammograms. This finding, which does not align with those previously reported for film screen systems, may be because of windowing/leveling opportunities available with digital images.
