ACR Collaborates on 14 Action Plans at AMA RUC Meeting
ACR Collaborates on 14 Action Plans at AMA RUC Meeting
ACR Collaborates on 14 Action Plans at AMA RUC Meeting
From lesion-level non-inferiority to screening-level substitution.
In 48 studies, physicians outperformed generative AI on diagnostic radiology tasks by 13.0 percentage points (95% CI 0.9-25.2; P=.038). AI accuracy: 42.9% (free-text) and 58.1% (choice tasks).
Using a potential adherence improvement index (PAII) to target radiology quality interventions instead of deprivation alone captured communities with much lower adherence (41% vs 74%) and only 20% overlap, potentially improving equity and efficiency.
Percutaneous aortic thrombectomy with Inari ProTrieve Sheath and Penumbra Aspiration Catheter.
For pancreatic cancer staging, CT outperforms MRI for vascular invasion (82% vs 70% sensitivity) and resectability (88% vs 63% specificity), while MRI excels for liver metastases (93% vs 73% sensitivity). EUS is best for lymph node assessment (87% sensitivity).
Radiology's Voice in the Future of AI
Radiology Associates of South Florida
An early exposure program introduces college students to imaging careers.
Singleton Assoc., BCBS of Texas reach new agreement
Inflammation from where? #radiology #foamrad #radres #generalsurgery #ctscan
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Predicting clinically significant prostate cancer in PI-RADS 3 lesions: an internally validated PSA density-based model with decision-curve analysis
Phone calls to the duty radiologist at Royal Melbourne Hospital dropped from a median of 181 to 82 per day (55% reduction) after implementing an EMR-integrated chat platform and referrer education, while study protocolling throughput remained unchanged.
Counties with a 10 percentage-point higher share of residents in medical debt collections had significantly higher incidence of late-stage lung, colorectal, cervical, skin, kidney, bladder, and head/neck cancer, a cross-sectional study of ~3,000 US counties found.
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A woman's first screening mammogram found a breast lump made of working thyroid tissue, not cancer.
In a small study, post-COVID patients had lower average cerebral blood flow on MRI (49.2 vs 51.7 mL/100g/min) and reported greater fatigue after a cognitive task, linking perfusion deficits to persistent symptoms.
Angio-CT for intra-arterial liver procedures does not increase total radiation exposure vs CBCT (corrected p=0.053), even though 3D dose was significantly lower (9.85 vs 39.9 mSv).
Letter to the Editor: Peripheral MRE fluidity in pancreatic cancer: considerations on regional sampling and biological interpretation.
No single imaging modality provides accurate clinical staging for upper tract urothelial carcinoma. CT urography detects tumors well but local staging is limited; MR urography may assess muscle invasion, and FDG-PET aids nodal/metastatic staging. A multimodal approach remains es…
A Swin UNETR-based deep learning network with hybrid-scale fusion and attention refinement achieved mean patient-level Dice of 83.4% for intracranial aneurysm segmentation on CTA, outperforming baseline and showing preliminary cross-center applicability.
First-in-human PET/CT with [89Zr]Zr-oxine-labeled leukocytes showed favorable dosimetry: mean effective dose 0.92 mSv/MBq, lower than predicted 1.14 from indium-111 (P=0.006). Safe in 4 healthy women.
Neuroanatomy case-based learning significantly improved dental students' overall exam scores (effect size d=0.49, p=0.044) and spatial-anatomical scores (d=0.56, p=0.021). A radiology-integrated head and neck anatomy course showed a non-significant improvement (d=0.33, p=0.188).
Editorial for "Multicenter, Multivendor Development and Validation of Automated Liver Prescription".
An AI model for automated liver MRI prescription achieved median axial IoU3D of 0.963 (IQR 0.946–0.976) in a multicenter multivendor test set, with margins <4 mm to match manual coverage in 90% of cases. Performance differences across vendors, field strengths, and patient factor…
AI-based predictive models and imaging (chest X-ray, lung ultrasound) show potential for early diagnosis and outcome prediction in neonatal respiratory care, but lack external validation, standardization, and multicenter evidence.