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Egyptian Journal of Radiology and Nuclear Medicine
Fig. 4 | Egyptian Journal of Radiology and Nuclear Medicine

Fig. 4

From: The integration of artificial intelligence with contrast-enhanced mammogram in the work up of suspicious breast lesions: what do you expect?

Fig. 4

Bilateral invasive ductal carcinoma (right grade II and left grade III) in a 52-year-old female presented for screening mammogram and showed dense breast (ACR d). A Mammographic cranio-caudal view displayed a suspected small mass with indistinct borders (arrow), BI-RADS 4 at the deep central portion of the right breast (obviously appreciated at digital mammogram). B AI scanned mammogram (cranio-caudal and medio-lateral oblique views) detected and scored the mass for being malignant (suspicion confidence scoring was 99%). No other areas were marked by the AI. C CEM detected multiple distribution of the right breast carcinoma (arrows) and contralateral proved malignancy in the form of faintly enhancing non-mass (only appreciated at the contrast images, arrow). AI supported the specification of the right breast mass on mammogram, yet the high density of the breast affected the performance of the algorithm to do proper staging of the right breast and categorization of the left breast carcinoma

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