Ultrasound Update: 2005

Sep 16th, 2005Sep 17th, 2005
Sacramento, CA
US
https://cme.ucdavis.edu
This program is designed for MDs, RNs, sonographers, and other healthcare providers who use or need to understand ultrasound.
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True-positive PSMA-PET with positive MRI in 74-year-old male with prostate cancer (Gleason score of 4 + 5; left anterior and posterior apex positive cores). (A) Left posterior peripheral apical to midprostate hyposignal visible on transaxial MRI. (B) No definite CT correlate evident (white arrow). (C) Focal high PSMA expression detectable in left posterior mid to base with SUVmax of 12.4 on transaxial fused delayed pelvic PET/CT (yellow arrow). (D) Focal high PSMA expression found in left midgland to base of prostate on maximum-intensity-projection image (yellow arrow).
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PET/CT outperforms MRI after focal therapy for prostate cancer
By Will Morton
No accurate noninvasive method has been validated to evaluate treatment response after focal therapy.
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True-positive PSMA-PET with positive MRI in 74-year-old male with prostate cancer (Gleason score of 4 + 5; left anterior and posterior apex positive cores). (A) Left posterior peripheral apical to midprostate hyposignal visible on transaxial MRI. (B) No definite CT correlate evident (white arrow). (C) Focal high PSMA expression detectable in left posterior mid to base with SUVmax of 12.4 on transaxial fused delayed pelvic PET/CT (yellow arrow). (D) Focal high PSMA expression found in left midgland to base of prostate on maximum-intensity-projection image (yellow arrow).
Florida approves NBPAS as recognized board certification option
By AuntMinnie.com staff writers
NBPAS-certified physicians can now represent themselves as board certified in Florida physician advertising.
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Thermal ablation achieves long-term survival in kidney cancer
By Will Morton
The 10-year overall survival (OS) and cancer-specific survival (CSS) rates were 68.5% and 75.5%.
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Most FDA-cleared AI medical devices not tested on patient outcomes
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Of the 1,059 FDA-cleared devices used in radiology, three had a registered trial.
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AI framework could improve MRI quality control in prostate cancer
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The framework uses a DL model trained on low- and high-quality MR images and helped improve radiologist accuracy.
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Low-quality axial T2-weighted MRI scans with gradient-weighted class activation mapping. The low-quality MRI scans (top row) show blurred structures and artifacts making zonal and capsule boundaries indistinguishable. On the same scans with gradient-weighted class activation map overlays (bottom row), red indicates regions that were most heavily weighted by the deep learning model toward the low-quality prediction.
New immuno-PET tracer shows promise in lung cancer
By Will Morton
Molecular imaging can provide whole-body visualization and quantitative assessment of PD-L1 expression.
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(A) Ga-68 NK224 PET/CT maximum intensity projection image (left), axial PET/CT images (center), and axial CT images (right) in a 43-year-old female participant with lung adenocarcinoma show lesions in the right cerebellum (blue arrow), right frontal lobe (red arrow), and sternum (green arrow) with low, intermediate, and high tracer uptake, respectively. Photomicrographs (scale bar, 100 μm) with hematoxylin-eosin (H&E) staining (center bottom) and programmed death ligand 1 (PD-L1) immunohistochemical (IHC) staining (right bottom) show high PD-L1 expression in the sternal lesion (tumor proportion score ≥ 50%).
AI fracture detection device validated across three European hospitals
By Will Morton
No differences in AI performance were observed across centers, and AI assistance was associated with higher reader sensitivity.
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Artificial intelligence (AI) assistance facilitates correct fracture identification in cases initially missed by human readers. A representative case is shown using anteroposterior radiographs in a 29-year-old male patient with wrist trauma (suspected nondisplaced transverse scaphoid fracture). The reader’s initial unaided assessment (top) resulted in a missed fracture, whereas with AI assistance (bottom), the fracture was correctly identified. The green box represents the fracture location as predicted by the AI tool, the blue box represents the reference standard annotation, and the red dots represent individual reader annotations.
Radiology Partners unit Mosaic petitions FDA on imaging AI regulation
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The petition seeks clarity on the regulation of AI vision language models used for diagnostic medical image analysis.
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FDA issues discussion paper on GenAI medical devices
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The paper covers risk assessment, pre-market evaluation, and considerations around foundation models and agentic AI systems.
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CT for breast radiotherapy detects ischemic heart disease risk
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As survival after early-stage breast cancer improves, cardiovascular disease has emerged as an increasingly prominent competing risk in older women.
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MWA with CT or CEUS guidance leads to "excellent" 10-year survival rates and with minimal complications.
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Radiation-related cancer mortality higher for U.S. flight crew
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Results point to prolonged exposure to cosmic radiation at commercial flight attitudes.
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