Case 3: Patient call back from screening with asymmetry in heterogeneously dense breast

Alright, this woman came for a screening mammogram with Heterogenic heterogeneously dense breasts and a small nodule was detected laterally in her right breast. The image was originally detected on narrow angle tomography images here and then she was enrolled in the study and we obtained images also with the wide angle tomography. So on the initial now angle tomography you can see that there's a lot of structural glandular noise densities that are superimposed over this, and this nodule is very hard to perceive because there's similar nodules. Kind of in that whole area as they scroll up and down. I think you can see you can tease out that there's a little ovoid mass here, but probably the only reason we can is that there's some fatty tissue in the surrounding area and relatively less noise. That same nodule appearing over here, for instance, would have been very, very difficult to pick up with our angle tomography. If you now come over to the wide angle tomography on this slice, you can see that the nodule is much easier to see I can see margins much more clearly. I can see that there's a macro lobulation to this nodule. You can see this inferior edge much more clearly, and as they scroll up and down. In and out of plane. The surrounding Fed also helps you, but you can see the size, orientation and margins of this mass more clearly in effect well enough that this can be identified fairly reliably as a lymph node, which is a benign density and then does not need to be biopsied. The density in the narrow angle tomography is a little more ambiguous, and it's conceivable that a biopsy might have been requested on the basis of that image alone.

The impact of the angular range SIEMENS 500 Wide-Angle Tomosynthesis. Superior by design. Patient call back from screening with Healthineers @ Siemens Healthcare GmbH, 2019 asymmetry in heterogeneously dense breast The statements by Siemens Healthineers' customers described herein are based on results that were achieved in the customer's unique setting. Because there is no "typical" hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results. Fisher, M.D. Paul Fisher, M.D. is employed by an institution that receives financial support from Siemens Healthineers for Dept. of Radiology, Stony Brook Medicine, collaborations. Stony Brook, New York, USA Diagnostic image quality in the video has been reduced.