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Screening & Diagnostic Performance of Tomosynthesis

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In terms of performance, we certainly know that by looking through

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many tomosome slices, this increases our reading time compared to standard

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2D demography, has a significant impact on operational workflows and

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staffing. Multiple studies have demonstrated a reduction in recall rate

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and increase in cancer detection rate for DBT compared to 2D alone. Screening

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performance improvements are likely related to DBT ability to detect cancers

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even when obscured by dense tissue and also differentiate true lesions from

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tissue overlap. Best estimates of reducing recall rate is about 15%

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and may increase our cancer detection rate or CDR by about 30%

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and this is true even in patients with

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lower breast density, suggesting that DBT improves cancer conspicuity. Of

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course, people have started to use DBT in the diagnostic setting as well,

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not just screening. And research has shown that this improves abnormal interpretation

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rate, meaning that it decreases that. Increases PPV, both PPV2 and PPV3,

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with a higher proportion of invasive cancers identified. DBT can replace

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standard 2D diagnostic use for non calcified lesions. So your standard mass

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or asymmetry with improved diagnostic accuracy. It also offers the potential

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benefit of more efficient imaging with fewer views, potentially even without

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additional diagnostic mammography and proceeding directly to ultrasound.

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This last point is still, I'd say, talked about a little bit in

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the literature about what is the best method and practices will make up

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their own individual decision about how they feel about this. There are

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some people that argue that screening DBT provides the same

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amount of lesion localization, margin detection as doing additional views

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and therefore the additional diagnostic mammogram views are not necessary

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and you could go directly to ultrasound. There are other practices that

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feel that doing those additional DBT views in the diagnostic setting do

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still improve your ability to describe lesions and identify lesions.

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And also prefer that for an operational reason,

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meaning that it's easier to go ahead and do your mammogram first and

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then ultrasound and you get the benefit of doing additional sort of non

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standard views such as a medial lateral view or maybe an XCCL tomo view

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or something like that to better help you identify or localize that lesion.

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In terms of pathology outcomes, there's increased identification of architectural

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distortion with DBT and these architectural distortions tend to be less

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likely to be malignant compared to 2D, meaning that we probably see more

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radial scars and complex sclerosing lesions, which depending on your practice,

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either be considered benign or high risk, but it also improves diagnosis

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of invasive breast cancers, which tend to be smaller,

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lower grade in earlier stage and no negative. And we also see more

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invasive lobular carcinomas largely due to the fact that they're probably

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just more conspicuous on DBT as those are one of the most difficult

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invasive cancers to identify on mammography.

Report

Faculty

Ryan W. Woods, MD, MPH

Assistant Professor of Radiology

University of Wisconsin School of Medicine and Public Health

Tags

Women's Health

Tomosynthesis

Mammography

Breast

AI Technologies

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