RSNA 2007

Nov 26, 2007

Employees of NorTek Medical Staffing show off their juggling skills with the smiley face stress balls they're giving away as part of their booth promotion at RSNA 2007.

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Pediatric radiology continues to face workforce shortage
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The pediatric radiology subspecialty continues to experience a major workforce shortage, researchers have reported.
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CTC for colorectal cancer screening is at an 'inflection point'
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Surveillance may be used for DBT-detected architectural distortions
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Imaging surveillance may be a safe alternative to surgery for architectural distortions detected on digital breast tomosynthesis (DBT) alone.
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What’s your brain like on a vanilla milkshake?
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A controlled “feeding” PET study by researchers at the National Institutes of Health (NIH) has called into question the theory that ultraprocessed foods elicit brain responses akin to addictive drugs.
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MRI scans show two areas of clinically significant prostate cancer in a 65-year-old man with a prostate-specific antigen level of 8.23 ng/mL. Images are (A, E) axial T2-weighted images, (B, F) axial diffusion-weighted images obtained with a b value of 1500 sec/mm2, (C, G) axial apparent diffusion coefficient images, and (D, H) lesion masks generated by the deep learning algorithm (DLA) on T2-weighted images. The DLA detected a lesion in the right posteromedial peripheral zone of the apex (D), which was assigned as Prostate Imaging Reporting and Data System (PI-RADS) 4. A radiologist also detected the lesion and assigned it PI-RADS 4 (arrow in A-C). A lesion in the right anterior transition zone (H) was detected by the DLA, which was assigned PI-RADS 4. The radiologist did not detect the lesion (arrow in E-G). Both lesions were confirmed as prostate cancer with Gleason grade group 2. Caption and image courtesy of RSNA.
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Generative AI model validated in chest x-ray study
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A group in South Korea has validated a generative AI model that could reduce reading times and increase chest x-ray reporting accuracy.
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An example that features an AI-generated report that identified “scattered pulmonary granulomatous calcifications.” In the first session, three of five readers specifically reported the presence of a nodule. Following the introduction of the AI-generated report, only one reader maintained the specific mention of a nodule, whereas the other four readers adapted their reports to include the AI-suggested terminology of “granulomatous calcifications.” AP = anterior-posterior. Image and caption courtesy of RSNA.
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Images depict true-positive findings in a 51-year-old woman with a left breast focal nonmass enhancement. (A) Mediolateral oblique and (B) cranio-caudal contrast-enhanced mammographic (CEM) images show the enhancement (arrows). No correlate was identified on (C) mediolateral-oblique or (D) craniocaudal low-energy images, or whole-breast ultrasound (not shown). Contrast-enhanced breast MRI shows a suspicious enhancement on (E) sagittaland (F) axial subtraction images (arrows), correlating with the finding on CEM images. MRI-guided biopsy (not shown) showed flat epithelial atypia, withsubsequent surgery confirming ductal carcinoma in situ.
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