The ACR has issued its 2026 update to Appropriateness Criteria for myelopathy, providing evidence-based imaging guidance for acute, chronic, and vascular causes of spinal cord dysfunction to help differentiate extrinsic from intrinsic pathology.
In 82,957 women with negative screening mammograms (Kaiser Permanente cohort), combining Mirai AI, a 313-SNP polygenic score, and BCSCv3 clinical risk reached C-index 0.70 (95% CI 0.69–0.71) vs 0.66, 0.62, and 0.61 for each alone — supporting integrated risk-stratified screening.
After venous sinus stenting for pulsatile tinnitus, temporal bone remodeling occurred in 73.1% of patients with follow-up CT (38/52). Remodeling was significantly more likely with a diverticulum vs isolated wall dehiscence (85.7% vs 47.1%; adjusted OR 8.08, 95% CI 1.31-49.73), a…
Across >3 million multicenter emergency department encounters, overall ED neuroimaging utilization doubled from 2016 to 2025. Head CT without contrast remained dominant, but CT perfusion use rose >5-fold over the same period, signaling a marked shift in acute stroke workup inten…
AIRS Medical, developer of the SwiftMR deep-learning MRI acceleration platform, has received private equity investment. The 2018-founded firm claims SwiftMR reduces scan times while improving image quality; deal terms were not disclosed.
FDA cleared E-Scopics' hepatoscope, a quantitative ultrasound device. It combines transient elastography for fibrosis, attenuation imaging for steatosis, and B-mode for morphology in one exam, intended for point-of-care liver assessment.
FDA issues warning letter to Zoll Medical over safety lapses with its MRI-compatible ventilators, alerting clinicians to potential hazards during scanning. Details of the lapses were not specified in the brief trade report.
RSNA's portfolio of journals achieved significant impact factor increases, with 'Radiology' rising to 19.7 and 'RadioGraphics' to 6.5, solidifying their positions as top-tier resources in medical imaging. Other journals also saw double-digit percentage gains.
Expert commentary from Michael Hofman summarizes key molecular imaging themes from the 2026 SNMMI annual meeting. Specific findings and data not reported in source; full details require access to the original interview.
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
Opportunistic screening leverages existing imaging examinations performed for unrelated routine clinical indications to systematically extract quantitative biomarkers. Artificial intelligence tools have made deployment at scale increasingly feasible. However, the pathway from...
AJR. American journal of roentgenology
BACKGROUND. Prior studies using habitat imaging for lung nodule characterization have been limited by intermixing of nodule types, insufficient handling of lesion heterogeneity, and incomplete consideration of high-risk histologic features. OBJECTIVE. To predict high-risk feat...
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
AJR. American journal of roentgenology
OBJECTIVES: To evaluate short-term pain relief and safety provided by polidocanol foam sclerotherapy for painful venous malformations (VMs) and determine imaging and procedural predictors of clinical efficacy. MATERIALS AND METHODS: From April 2015 to September 2025, this sing...
OBJECTIVES: MRI can reveal the signal characteristics and invasive potential of tumors. Our study aimed to explore the potential of MRI-identified primary tumor aggressiveness-related factors in nasopharyngeal carcinoma (NPC). MATERIALS AND METHODS: This study retrospectively...
OBJECTIVES: Computed tomography (CT) scans for lung cancer screening provide the opportunity of quantifying incidental findings. We evaluated the repeatability of AI-based measurements of incidental findings using short-term repeat CT scan pairs. MATERIALS AND METHODS: AI-Rad...
PURPOSE: To investigate the effects of vendor-neutral image-domain deep learning reconstruction (DLR) applied retrospectively to dynamic contrast-enhanced (DCE) images from prostate multiparametric magnetic resonance imaging (MRI) on image quality and diagnostic performance fo...
Episode 40: The Next Era of Imaging Intelligence | Podcast
Tube voltage significantly affects CT attenuation-based hepatic steatosis measurements: 120-kVp-equivalent vs. 80-kVp images showed r = 0.921–0.975, but regression-adjusted values agreed excellently (ICC 0.966–0.992, mean difference ≤0.7 HU), enabling reliable cross-kVp steatosi…
AI-assisted appendicular fracture detection (AUC 0.847, 95% CI 0.811–0.881) improved accuracy for 2 of 3 radiologists (~76% → 83%, p≤0.001) and cut median read time 33% (12.9→8.6 s) in a retrospective MRMC study; prospective multicenter validation still needed.
AI assistance significantly improved radiologic technologist detection of intraventricular and subdural hemorrhage (5/30 reader-task comparisons, p≤0.007) but did not improve overall any-hemorrhage AUC in this retrospective 100-CT study.
AI (mostly U-Net CNNs) segments craniofacial airways on CBCT with Dice scores 0.90–0.97 and ICC >0.90 vs. manual methods across 14 studies. But external validation is scarce and only 1 study tested OSA prediction against polysomnography — not yet ready for routine use.
MRI radiomics predicts pathological complete response (pCR) in rectal cancer after neoadjuvant chemoradiotherapy: pooled sensitivity 0.82, specificity 0.86, AUC 0.85 (38-study meta-analysis). Deep learning models outperformed. Prospective validation still lacking.
