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…
Higher radiomic texture score of temporalis muscle on brain MRI was linked to increased dementia risk (HR per standard deviation: 1.32 in ADNI, 1.64 in ARIC).
A machine-learning method for dual-energy CT (DECT) elemental decomposition reduced water-equivalent range deviations by 0.4–1.4 mm and raised biological-dose gamma passing rates by up to 24.1% compared with parameterization approaches under clinically realistic noise.
A multi-stage deep learning framework (HD-TMAR) suppressed combined truncation and metal artifacts in half-detector CBCT, achieving the highest fidelity and preserving dental morphology in simulations.
A deep learning model using whole-lung CT achieved an AUROC of 0.90 (95% CI 0.86-0.94) for preoperative prediction of spread through air spaces (STAS) in lung adenocarcinoma, outperforming clinical (0.72) and radiomics (0.65) models.
A combined clinical-radiomics model predicted post-treatment PD-L1 expression in esophageal squamous cell carcinoma with a weighted AUC of 0.8214, but improvement over a clinical-only model (AUC 0.8171) was minimal. Findings are hypothesis-generating and require external validat…
A novel MRI-guided robotic catheter design demonstrated a maximum temperature rise of only 0.6°C during simultaneous imaging and 1 A actuation, staying within FDA safety limits.
The 2.5 cm Threshold Enriches Risk but Does Not Yet Define Fibrostenosis.
A CT radiomics model identified high-grade patterns (≥20%) in stage I lung adenocarcinoma with an external test AUC of 0.84. High-risk prediction was an independent prognostic factor for recurrence-free survival (HR=3.33) and overall survival (HR=1.98).
In patients with hemophilia, in vivo T2 mapping at 3 T differentiated acute hemarthrosis from nonhemorrhagic joint effusion with 100% sensitivity and 100% specificity using a 361-msec cutoff. The median T2 relaxation time was 185 msec for hemorrhagic versus 523 msec for nonhemor…
T2 Mapping Reaches the Joint: A Solution to a Classic Bedside Dilemma.
In a 780-patient study with external validation, Node-RADS and its simplified version (recSNAP) beat ESGAR criteria for MRI-based rectal cancer nodal staging (AUC 0.83 vs 0.71, P<.001). Interobserver agreement was substantial (κ=0.76).
Contrast-enhanced CT Radiomics in Lung Adenocarcinoma: Beyond Visual Enhancement.
Large Airway Osteochondroma with a "Centipede-like" Appearance.
For chest imaging diagnosis with LLM assistance, model confidence (OR 3.82) and radiologist expertise (OR 2.06) independently predict appropriate acceptance/rejection of advice, while rationale quality increases overreliance on incorrect suggestions (OR 1.71).
Large Language Models in Uroradiology: Applications, Deployment Maturity, and the Reproducibility Paradox
In 563 patients with oesophageal cancer, AI-derived 3D CT sarcopenia index independently predicted survival: high-index males 33.3 vs 21.8 months (p<0.001), females 68.8 vs 16.8 months (p<0.001), with a significant sex interaction (p=0.026).
Explainable Radiomics-Based ML Model for Lung Cancer Subtype Classification
A preoperative model integrating 18F-FDG PET hypometabolism and MRI atrophy patterns with clinical factors predicted 1-year seizure freedom after temporal lobe surgery with an AUC of 0.63–0.70, outperforming imaging-only models.
Siemens posts revenue gains in Q3
DeepHealth lands FDA nod for breast ultrasound AI software
Driving the Bus | RSNA Unscripted with Adam Flanders, MD
A stepwise renal MRI approach teaches Bosniak classification of cystic lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), RCC subtyping, and staging essentials using real cases.
<![CDATA[FDA Clears AI-Powered Breast Ultrasound Software from DeepHealth]]>
JACR: PE triage AI saved 0.83 min per read but yielded negative contribution margin (−10.1%) and −76.6% ROI. A brain bleed tool was financially favorable. Efficiency gains may not cover costs.
Liver Imaging Reporting and Data System (LI-RADS): A Comprehensive Review
FDA cleared DeepHealth's AI for breast ultrasound that automates lesion detection and reporting. Validated with 16 radiologists, it aims to standardize workflows and is now commercially available and eligible for reimbursement.
Branching linear contrast extending toward the renal cortex and along hilar lymphatics after forniceal rupture indicates pyelolymphatic backflow, not just urinoma. This subtle sign reflects lymphatic absorption of extravasated contrast.
Budd-Chiari, splenomegaly, and bilateral adrenal infarction on imaging should prompt consideration of a unifying hypercoagulable disorder such as antiphospholipid syndrome.
What are the 3 major abnormalities on this CT?
Diffuse bilateral vas deferens calcification on CT is an uncommon but important imaging clue that should raise suspicion for underlying diabetes mellitus, especially in a younger patient.
