RSNA 2008

Dec 1, 2008

Dr. Antonio Luna of Spain considers Chicago a second home.

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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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The use of CT colonography (CTC) for colorectal cancer screening is at an "inflection point" after its Medicare reimbursement approval in 2024
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Practice expenses account for close to 70% of total RVUs in radiology, compared with 45% across the MPFS, according to the authors.
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Surveillance may be used for DBT-detected architectural distortions
By Amerigo Allegretto
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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DL algorithm targeting prostate cancer demonstrates clinical impact
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Per participant, a deep-learning (DL) algorithm demonstrated increased specificity of 64.8% compared with radiologists at 21.3%.
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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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Experts discuss what the field of radiology has learned in the five years since the COVID-19 pandemic was declared in the U.S.
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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.
AI boosts identification of incident vertebral fractures on chest CT
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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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