Dr. Gia Deangelis

Industry News
Haiti after the earthquake: A radiologist's story
Dr. Gia Deangelis is a University of Virginia radiologist who was supposed to be in Port-au-Prince the day the quake struck. She is now working in a rural clinic in Grison-Garde, north of the decimated capital of Port-au-Prince. Here are her observations.
January 21, 2010
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Economics
What is the impact of the 2025 MPFS changes on radiology practices?
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What is the impact of the 2025 MPFS changes on radiology practices?
By Sandy Coffta
In a new column, Sandy Coffta shares how radiology practices are affected by the 2025 Medicare Physician Fee Schedule (MPFS).
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Ultrasound-guided fluoro for kidney stones cuts radiation to kids
By Kate Madden Yee
Fluoroscopy-assisted ultrasound guidance for mini-percutaneous nephrolithotomy procedures in children is safer and more effective than fluoroscopy alone.
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New analysis supports use of FES-PET in breast cancer patients
By Will Morton
F-18 fluoroestradiol (FES)-PET scans can predict whether endocrine therapy could be effective in women with estrogen receptor-positive breast cancer.
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Are athletes returning to play too soon after concussion?
By Kate Madden Yee
Sports-related postconcussion changes in cerebral blood flow and white matter persist in athletes up to one year after injury.
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Ultralow-dose CT identifies pneumonia in immunocompromised patients
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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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Surveillance may be used for DBT-detected architectural distortions
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DL algorithm targeting prostate cancer demonstrates clinical impact
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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.
What has radiology learned in 5 years since COVID hit U.S.?
By Amerigo Allegretto
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