ECR Help Desk

Feb 27, 2019

Example case from test set with biparametric MRI data, reference segmentation, and output from AI system. The primary MRI assessment resulted in a PI-RADS 5 lesion in the left dorsal part of the peripheral zone and a PI-RADS 4 lesion in the right dorsal part of the peripheral zone (PSA of 11.6 μg/L). Targeted biopsies from both areas showed ISUP-grade 3. All images are from the same slice location, showing a part of both lesions. A T2-weighted (T2W) image. B Diffusion-weighted image with a b-value of 1,500 s/mm2. (C) Apparent diffusion coefficient map. (D) Reference segmentation with white areas representing tumor. (E) Softmax output from AI system. Inset in the lower left corner shows the detection map (cropped around the prostate) with red voxels representing softmax values of 0.99 and yellow voxels representing softmax values of 0.59. (F) T2W image with reference (D) and detection map (inset in E) overlayed, green represents areas in which both the reference and the AI output are positive (true positive voxels for AI), red only positive in reference (false-negative voxels for AI) and blue only segmented by AI (false-positive voxels for AI).

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Screenshot 82 n L Dg Mpjn V1 Thumbnail

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An AI system trained in a screening population has lower specificity than radiologists using PI-RADS v2, but considerable care is vital, researchers from Gothenburg reported in European Radiology on 8 December.

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Example case from test set with biparametric MRI data, reference segmentation, and output from AI system. The primary MRI assessment resulted in a PI-RADS 5 lesion in the left dorsal part of the peripheral zone and a PI-RADS 4 lesion in the right dorsal part of the peripheral zone (PSA of 11.6 μg/L). Targeted biopsies from both areas showed ISUP-grade 3. All images are from the same slice location, showing a part of both lesions. A T2-weighted (T2W) image. B Diffusion-weighted image with a b-value of 1,500 s/mm2. (C) Apparent diffusion coefficient map. (D) Reference segmentation with white areas representing tumor. (E) Softmax output from AI system. Inset in the lower left corner shows the detection map (cropped around the prostate) with red voxels representing softmax values of 0.99 and yellow voxels representing softmax values of 0.59. (F) T2W image with reference (D) and detection map (inset in E) overlayed, green represents areas in which both the reference and the AI output are positive (true positive voxels for AI), red only positive in reference (false-negative voxels for AI) and blue only segmented by AI (false-positive voxels for AI).

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By AuntMinnieEurope.com staff writers

GE HealthCare (GEHC) announced two major collaborations for its existing and new imaging technology at RSNA 2025.

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By Erik L. Ridley

Siemens expanded its AI and interventional imaging technology portfolio at RSNA 2025 in Chicago.

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Siemens Healthineers Syngoct C Cockpit aap Zps Jiq Q

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Screenshot 82 n L Dg Mpjn V1 Thumbnail

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Ge Technology Photo

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