ASFNR clinical state-of-practice: For posterior circulation large vessel occlusion stroke, use noncontrast CT to exclude hemorrhage, CT angiography to identify occlusion, and MRI with DWI as reference standard. Imaging scores like PC-ASPECTS help select patients for thrombectomy.
The ACR Appropriateness Criteria 2026 update provides imaging guidelines for suspected or confirmed diffuse lung disease, covering initial evaluation, acute exacerbation, and surveillance.
New expert consensus framework for symptomatic B3 breast lesions: assess concordance, lower excision threshold for discordant/palpable lesions, conservative management for concordant non-atypical lesions, and risk-based surveillance for atypia.
ACR Appropriateness Criteria for indolent lung cancer: For patients with slow-growing subsolid nodules or atypical cysts where surveillance is chosen over intervention, imaging follow-up aims to detect changes that alter management, with modality selection guided by accuracy and…
For ultrasound-based ovarian mass risk stratification, a vision transformer (ViT16-384) achieved AUC 0.941 and accuracy 87.4%, significantly outperforming radiologists using O-RADS v2022 (AUC 0.683, accuracy 68.0%). Hybrid human-AI models further boosted performance.
<![CDATA[Optimizing MRI Workflows: Eleven Takeaways from a New Literature Review]]>
<![CDATA[The ‘Biological Opportunity’ of Decreasing Voxel Size with Cardiac MRI and Photon-Counting CT]]>
Two deep learning models for pulmonary nodule malignancy estimation on CT achieved area under the curve (AUC) values of 0.74 and 0.72 vs 0.63 for Brock (both p<0.01), with higher specificity (60% vs 44%) at fixed sensitivity in a multicentre dataset of 269 incidental nodules.
Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.
Beyond nnU-Net: emerging artificial intelligence directions for automated perivascular space segmentation.
Deep learning model estimated bone age from pediatric chest radiographs with intraclass correlation coefficient of 0.87 (95% CI 0.63-0.99) and root mean squared error of 1.30 years (95% CI 0.56-1.95) compared to hand radiograph reference.
A MRI-based sub-regional radiomics model of gluteus maximus muscle/fat sub-regions predicted recurrence in high-grade serous ovarian cancer, achieving AUC 0.774 in validation; adding neoadjuvant chemo and PARP inhibitor status raised AUC to 0.817.
An externally validated deep learning model for pulmonary embolism on CTPA achieved sensitivity 0.80, specificity 0.97, and AUROC 0.94 for any PE. No central PE was missed, but 100/375 peripheral PEs (26.7%) went undetected. Subsegmental-only PE detection was near chance (AUROC…
Deep learning models nnU-Net and MedSAM directly segmented the left ventricular myocardium on native cardiac MRE data, achieving Dice scores of 0.82—matching or exceeding the inter-reader agreement of 0.79—paving the way for a self-contained MRE workflow.
Adding expiratory CT and lobar analysis improved AUC for chronic airflow limitation detection from 0.66 (inspiratory alone) to 0.81, with 79% sensitivity and 94% NPV.
The CT 5-star quality rating system supports optimization.
Samsung has reorganized its US ultrasound, digital radiography, and CT divisions—previously Boston Imaging and NeuroLogica—under the new Samsung HME America, streamlining its vertically integrated imaging business that holds a 6% share of the global ultrasound market.
Philips has issued an urgent correction for its Allura interventional fluoroscopy systems due to imaging capture malfunctions, loss of motorized movement, and unauthorized hard drives, affecting nearly 10,000 U.S. units. Manual repositioning workarounds exist; no adverse events…
<![CDATA[Breast Imaging in Focus Series: Recent Episode Highlights]]>
What Radiology Can Learn from Other Fields Using AI
Pre-biopsy MRI is 93% sensitive for prostate cancer vs 50% for systematic biopsy, yet only about one-third of U.S. workups use it. Barriers include urologist training, MRI access, and financial incentives favoring in-office biopsy.
Balance, Leadership, & AI in Teleradiology | RSNA Unscripted with Christina Geatrakas, MD
Ultrasound MinnieCast, Episode 14: Weathering the sonographer shortage
Editorial for "AI-Assisted Prostate Cancer Diagnosis Using Biparametric MRI and PI-RADS v2.1: Performance Comparison Between Novice-Level and Experienced Readers".
In a study of 422 brain metastasis patients, clinical model best predicted survival (accuracy 0.72). Radiomic MRI model underperformed overall (accuracy 0.52) but outperformed in 54 melanoma patients (accuracy 0.77, 80% low-risk and 67% high-risk correctly classified).
In dementia with Lewy bodies, APOE ε4 carriers had less cingulate island sign preservation (p=0.03). GBA1 non-carriers showed higher Alzheimer disease-like metabolism (p=0.004), while GBA1 carriers had more homogenous Parkinson disease/DLB-like patterns (p=0.003). Genetic status…
Correction: Comparing HCC arterial tumour vascularisation on baseline imaging and after lipiodol cTACE: how do estimations of enhancing tumour volumes differ on contrast-enhanced MR and CT?
A CT-based model combining radiomics, nnU-Net deep features, and Gissane's angle predicted calcaneal spurs with AUC 0.772 (95% CI 0.700-0.843) in a test set of 161 CTs, outperforming clinical, radiomics, and nnU-Net models alone.
Comment on "Would You Like a Side of Artificial Intelligence With Your Mammogram? An Experimental Study of Patient Willingness to Pay for Artificial Intelligence".
Two variants of spontaneous dorsal spinal CSF leaks were identified: 75% of patients had a simple linear dural tear, while 25% had pseudomeningoceles. Half of all leaks were located in the mid-thoracic spine, and digital subtraction myelography findings were concordant with surg…
In 309 stroke patients undergoing emergent carotid stenting, aggressive antiplatelet therapy (glycoprotein IIb/IIIa inhibitors or clopidogrel) did not significantly reduce early stent occlusion (4.5% vs 2.6%) or improve 90-day functional outcomes compared to conventional therapy…
For distinguishing true progression from pseudoprogression in glioblastoma, radio-pathomic cell density (RPM Cell) maps achieved an AUC of 0.827, significantly outperforming advanced diffusion and perfusion metrics (AUCs <0.687, p=0.006).
