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Liver Cancer
Interventional
Y-90 TARE improves survival in patients with large liver tumors
Yttrium-90 transarterial radioembolization (Y-90 TARE) improved survival rates compared to embolization without Y-90 in patients with large liver tumors.
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MRI
Deep-learning plus MRI helps predict HCC recurrence
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Ultrasound
Micro-ultrasound on par with MRI in predicting prostate tumor volume
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What is the impact of the 2025 MPFS changes on radiology practices?
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Cases of the Week
Check out our Cases of the Week!
47-year-old woman presenting with worsening neck pain and fever
A 47-year-old woman with a history of IV drug use presented with worsening neck swelling and pain with subjective fevers over the previous few days.
71-year-old man with lower right quadrant pain
53-year-old man with lower extremity mass
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Liver Cancer
Interventional
Y-90 TARE improves survival in patients with large liver tumors
MRI
Deep-learning plus MRI helps predict HCC recurrence
Ultrasound
Micro-ultrasound on par with MRI in predicting prostate tumor volume
MRI
Ultrasound-guided fluoro for kidney stones cuts radiation to kids
2025 03 14 Rad Imag Cancer Yu Figure3 Thumbnail
MRI
Deep-learning plus MRI helps predict HCC recurrence
CT
CTC for colorectal cancer screening is at an 'inflection point'
MRI
DL algorithm targeting prostate cancer demonstrates clinical impact
CT
AI boosts identification of incident vertebral fractures on chest CT
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Advanced Visualization
Ziosoft forms partnership with Olympus
Risk Management
ACR cautions in light of regulatory break on ownership reporting
Nuclear Medicine
Shuttle secures more than $5M at close of public offering
Radiologic Technologist
ASRT names newly elected officers
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Artificial Intelligence
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.
DL algorithm targeting prostate cancer demonstrates clinical impact
Per participant, a deep-learning (DL) algorithm demonstrated increased specificity of 64.8% compared with radiologists at 21.3%.
AI boosts identification of incident vertebral fractures on chest CT
Deep-learning radiomics model aids in ovarian cancer diagnosis
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