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Neuro / Head & NeckGuidelineTrainee

ASFNR Issues Imaging Framework for Posterior Circulation Large Vessel Occlusion Stroke

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.

AJNR. American journal of neuroradiology
Chest / ThoracicGeneralGuidelineTrainee

ACR Appropriateness Criteria for imaging surveillance of indolent lung cancer

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…

Journal of the American College of Radiology : JACR

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PediatricEmergencyAI / InformaticsResearchTrainee

Deep learning feasibility for intussusception detection on POCUS

Fine-tuning deep learning models outperformed classical and transfer learning for detecting intussusception on point-of-care ultrasound, with a threshold-based approach yielding the best predictive performance in a study of 49 patients (8 positive). Small dataset limits generali…

Frontiers in radiology
GeneralNews

ACR Releases Proposed Bylaw Amendments for Member Review

Proposed amendments to the American College of Radiology (ACR) bylaws have been released on ACR Engage for member review and feedback. The changes cover governance and operational rules. Full text available via the ACR.

ACR (Google News)
Neuro / Head & NeckPediatricEducation

Microbiota-gut-brain axis in autism linked to brain MRI changes

Narrative review finds gut microbiome dysbiosis in ASD linked to brain structural/functional MRI changes. Microbiota-targeted interventions show promise but evidence is insufficient for clinical application. Standardized multicenter imaging-omics studies needed.

Radiology AI literature (PubMed)
CardiacAI / InformaticsNewsTrainee

Advances in Imaging and Biomarkers for Early Heart Failure Detection

Advances in imaging—especially speckle tracking echocardiography—and biomarkers like natriuretic peptides and hs-troponins are improving detection of Stage B heart failure, a subclinical phase with structural cardiac abnormalities. AI may boost precision.

Radiology AI literature (PubMed)
Body / AbdominalGeneralAI / InformaticsGuidelineTrainee

PRECISE v2 and AI Role in MRI Prostate Cancer Surveillance Reviewed

A new review details PRECISE v2 refinements for prostate MRI active surveillance reporting, including minimum quality thresholds and disease visibility sub-groups. AI shows near-term promise for quality control and lesion tracking, but requires external validation before alterin…

Radiology AI literature (PubMed)
GeneralMusculoskeletal (MSK)Neuro / Head & NeckResearchTrainee

Extended reality and MRI case modules boost anatomy retention in med students over two years

Prospective study in 128 first-year medical students found XR/MRI-based case modules significantly improved anatomy test scores from 3.9→6.2 (Cohort 1) and 4.3→7.6 (Cohort 2), with knowledge retained at 8 weeks (p<0.01). No significant decay between immediate and delayed tests.

Radiology education & curriculum (PubMed)
Musculoskeletal (MSK)Neuro / Head & NeckResearchTrainee

Structured Education Improves MRI Lumbar Stenosis Grading Concordance

A structured educational intervention on a lumbar spinal stenosis classification system improved overall MRI grading correctness from 54.5% to 61.2% (p=0.006) and raised interobserver reliability (ICC from 0.71 to 0.75; p=0.030) among 37 multi-specialty physicians.

Radiology education & curriculum (PubMed)
Interventional (IR)News

Reply to letter on central renal tumor ablation outcomes

Authors respond to a letter clarifying recurrence, bleeding risk, and procedural burden after central renal tumor ablation.

Journal of Vascular and Interventional Radiology (JVIR) +1 more
Musculoskeletal (MSK)AI / InformaticsResearch

Preoperative MRI and machine learning predict meniscal repairability with AUC 0.78

A machine learning model using preoperative MRI and clinical features predicted meniscal repairability at arthroscopy with an AUC of 0.78 (95% CI 0.74-0.82) in a retrospective cohort of 491 patients. Independent predictors of non-repairability included ACL injury, cartilage dege…

Radiology AI literature (PubMed)
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