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Could learning curve lead to false-positive findings on DBT?
I have not seen this publication, but what appears to be missing is the fact that DBT detects more cancers than Full Field Digital Mammography (FFDM). Every DBT study should include FFDM MLO and CC projections. Anyone who has used DBT for screening (as it was designed to be used) knows that there are cancers that are not evident on the 2D FFDM that are evident on the DBT planar images. Thus, the sensitivity of the technology is [i][b]absolutely[/b][/i] higher than FFDM alone. Along with the data presented it would also be important to publish the associated missed cancer rates associated with these recall rates.
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3 Replies
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Do you favor synthesized MLO and CC from the DBT or taking extra CC and MLO dedicated views?
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A team led by Dr. Kristin Johnson from Lund University in Malmö concluded in the Malmö Breast Tomosynthesis Screening Trial (MBTST) that the higher false-positive rate was mainly caused by an increased detection of stellate findings on DBT, which include distortions and a density with stellate (star-shaped) configuration.
Yes, more stellate lesions on tomo- some nothing, definitely a learning curve-
When one gets through the learning curve which is quite short IME, the CBR decreases for the individual and the group. CDR for invasive cancer increases. Whoever is calling back “stellate” findings at a higher rate with tomo than FFDM does not know what they are doing.
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