The 2026 Chinese lung cancer guideline adds AI and opportunistic screening in low-dose CT, expands molecular testing, and updates treatment regimens for NSCLC, including perioperative, consolidation immunotherapy, and targeted therapy for EGFR, ALK, KRAS, HER2, and MET alteratio…
On 76 test cases, the AI framework achieved Cobb angle MAE 2.4°, Lenke curve type accuracy 0.895, and reduced review time from 8.2 to 1.5 min/case.
An AI model (EAGLE) analyzing noncontrast chest CT achieved 90.0% sensitivity for esophageal cancer and 98.5% specificity in external multicenter testing (11,466 patients), and 99.94% specificity in low-dose screening. Could enable opportunistic esophageal cancer screening.
PSAD remained below 0.11 ng/mL² across all ages in 1037 healthy German men, contrasting with continuously rising PSA. 95th percentile reference: PV 51.39 mL, PSA 2.79 ng/mL, PSAD 0.071 ng/mL².
Selective Arterial Embolization under Catheter-directed CT Angiography for Post-operative Urinoma in a 12-Month-Old Infant with Ectopic Ureter of Duplicated Renal Collecting System.
In swine, intestinal embolization with imipenem/cilastatin produced ischemia irrespective of heparin (median pathological grade 3 both). Angiographic scores unchanged at 1-3h in 72.2%. Renal perfusion defects had minimal histologic damage.
Pre-treatment 68Ga-DOTA-WL12 PET outperformed 18F-FDG PET for predicting programmed death-ligand 1 (PD-L1) expression (AUC 0.92 vs 0.69) and chemo-immunotherapy response (responder SUVmax 2.7 vs non-responder 1.3; independent predictor OR 12.42) in head and neck squamous cell ca…
Ethiopian nursing and radiologic technology students use digital tools for theoretical and clinical learning, but inadequate infrastructure, low digital literacy, and unregulated use limit their potential. Educators should strengthen digital infrastructure and integrate AI liter…
Multi-modal deep learning on spectral CTPA improved slice-level PE detection (AUC 0.955 internal, 0.945 external) and peripheral embolism recall (from 49.53% to 63.55% internal, 57.73% to 72.16% external) vs. single-modal CTPA.
An MRI radiomics-based Extra Trees classifier differentiated ovarian endometriomas from hemorrhagic cysts with an AUC of 0.99 (95% CI 0.97–1.00), accuracy 96%, sensitivity 96%, and specificity 95% in 160 women. External validation is needed.
<![CDATA[MRI Research Reveals Strong Link Between Vascular Hyperintensity and Cerebral Edema in Patients with Acute Ischemic Stroke]]>
55-year-old woman with behavioral disturbances revisited
Curious case: A suspicious breast mass, a benign biopsy, and an unexpected diagnosis
CT visualizes leadless pacemaker encapsulation.
Global Psychological Employer Profile - American College of Radiology Career Center
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Women's Imaging MinnieCast, episode 17: Cryoablation promising for breast care
The American College of Radiology and over 30 national groups are backing bipartisan H.R. 8500, which would make Medicare local coverage decisions faster, more transparent, and open to reconsideration.
The FDA will stop mailing MQSA certificates on Oct 22. Mammography facilities must download and print certificates from a new online portal after Sept 14 transition period. Excludes Illinois, Iowa, South Carolina, Texas state-certified agencies.
Reducing CT field of view while keeping matrix constant yields smaller pixels (e.g., 512 matrix, 200-mm FOV = 0.39 mm vs 400-mm FOV = 0.78 mm), but true spatial resolution may not improve. Finer spatial sampling does not guarantee more anatomical detail.
A rubric for evaluating AI-generated patient-friendly radiology reports was developed. When an AI model applied it to 480 reports, distribution decisions agreed with reference-standard decisions 88.1% of the time, suggesting a quality-assurance safeguard.
Signal, not noise: learning to measure emphysema beyond the -950 HU threshold.
Radiomics machine learning on noncontrast postmortem CT detected autopsy-confirmed myocardial infarction with mean AUROC 0.817 (55 MI, 51 controls); sensitivity 0.764, specificity 0.724. Supports forensic cause-of-death assessment but requires further validation.
Luminal stenosis is not the sole determinant of coronary risk. Integrating coronary CT angiography, plaque characterization, fractional flow reserve, and AI with angiography enables personalized risk stratification and treatment.
A two-stage deep learning model detected endotracheal tubes on pediatric chest X-rays with a 0.994 area under the curve (95% CI 0.986-1.000) and localized tube tips with 6.59 mm mean error; inter-reader error was 2.01 mm; single-center pilot.
Liquid biopsy and molecular panels (Afirma, ThyroSeq), integrated with strain elastography, ACR TI-RADS, and 99mTc-MIBI scintigraphy, may reduce unnecessary thyroidectomies for indeterminate nodules, per a comprehensive review.
LLMs (large language models) failed to reproduce a radiology residency rank list from applications alone (median τ 0.15–0.36), but adding human interview scores raised agreement to τ 0.84–0.93. Application-only LLM rankings placed female, international, and non-MD applicants low…
A physics-informed deep learning model trained entirely on simulated wrist 4DCT data effectively corrected motion artifacts, improving LIRS in cadaveric bone regions from 0.58±0.19 to 0.77±0.14 (p<0.01) and SSIM in simulated scans from 0.87 to 0.95.
Strategic Multidimensional Benchmark Deployment - Operationalizing National Standards on Prostate MRI and PI-RADS Adoption.
A Meaningful First Step Toward Large Language Model Quality Control of Breast Ultrasound Reports.
Over 950 AI/ML devices cleared by FDA, ~75% in radiology; yet an Indian review finds a persistent knowledge gap, with fewer than 30% of radiologists familiar with AI. Algorithms validated superior for lung nodules, breast screening, TB triage, stroke, glioma.
Real-world AI in radiology faces a deployment gap where performance drops. This review discusses continuous monitoring on clinical platforms to maintain utility.
Screen-detected breast cancers (vs non-screen-detected) were earlier stage, lower grade, and had 43% lower all-cause mortality (5-year survival 92.9% vs 73.6%) in a cohort of 1,023 women. Benefit persisted in those ≥75 years.
