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Examples of automatic fibroglandular tissue (FGT) segmentations on the precontrast (T1) non-fat saturated series and background parenchymal enhancement (BPE) extent on the postcontrast (T2) series for four control participants. For each participant, the left image shows the automated whole-breast segmentation (green line) and FGT segmentation (purple shading). The right image shows the areas of enhancement (red shading) within the FGT, defined as all voxels with 20% or more enhancement from the precontrast to postcontrast series. For each series, the middle section is presented. Example images were selected randomly within four categories defined by quantitative FGT volume (Vol) and BPE extent, where “low” refers to participants with measures in the bottom tertile and “high” refers to participants with measures in the top tertile. (A) Low FGT volume and low BPE extent in a 50-year-old premenopausal control participant. (B) Low FGT volume and high BPE extent in a 50-year-old control participant with a history of bilateral oophorectomy. (C) High FGT volume and low BPE extent in a 39-year-old premenopausal control participant. (D) High FGT volume and high BPE extent in a 44-year-old premenopausal control participant. Images and caption courtesy of the RSNA.
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A representative posteroanterior chest x-ray (A) in a 71-year-old male patient who underwent examination due to progression of dyspnea shows bilateral fibrosis (arrows), which was misclassified as airspace disease by all four AI tools. Image courtesy of Radiology.
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