Dr. Luis Martí-Bonmatí, PhD, Dr. Angel Alberich, PhD

Molecular Imaging
Imaging biomarkers have central role in precision medicine
Imaging biomarkers can have an impact in clinical practice only if the information they provide answers the clinical problem. Biomarker results must be displayed in an intuitive way, and postprocessing platforms should be implemented, write Dr. Luis Martí-Bonmatí, PhD, and Dr. Angel Alberich.
September 27, 2016
2016 09 28 08 06 06 544 Biomarkers Figure1 Thumb
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MRI safety and radiation-induced cancer risks dominate in 2025
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MRI safety topics, along with the risk of cancer caused by overuse of CT, remain central themes for the European medical imaging community, according to our list of top 10 articles.
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A comprehensive audit has shed light on the optimum use of imaging in patients with recurrent dislocations.
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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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