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Fig. 2 | European Radiology Experimental

Fig. 2

From: Tasks for artificial intelligence in prostate MRI

Fig. 2

The potential impact of AI-driven prostate segmentation on the workflow of the radiologist. A 6-year-old male patient with a serum PSA of 13.5 ng/mL: multiparametric MRI (T2-weighted sequence, ADC map; and diffusion-weighted image obtained with b = 1,500 s/mm2) (A); manual segmentation or AI for total prostate organ and lesion detection/segmentation may be run (B); segmentation outputs aid in calculation of variables such as PSA density and greatest lesion dimension and classification (AI can potentially assign PI-RADS scores or predict suspicion of extra-prostatic extension to generate the report (C); output segmentations can be used for registration to ultrasound for TRUS/MRI fusion guided biopsy (D). AI Artificial intelligence, ADC Apparent diffusion coefficient, MRI Magnetic resonace imaging, PI-RADS Prostate Imaging Reporting and Data System, PSA Prostate-specific antigen, TRUS Transrectal ultrasound

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