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5678 storiesAI boosts brain aneurysm detection on CT angiography
AI boosts brain aneurysm detection on CT angiography
Ikonopedia Announces New Release Supporting BI-RADS® v2025 (6th Edition)
Ikonopedia Announces New Release Supporting BI-RADS® v2025 (6th Edition)
FDA Awards $1.29M to Rad Partners to Test 'LLMs as a Jury' for AI Radiology Reports
Rad Partners' Cognita Imaging received a $1.29M FDA grant to test an 'LLMs as a jury' framework for evaluating AI-generated radiology reports. The 18-month project applies the method to ~1 million exams, with radiologists reviewing discordant cases to identify failure modes.
Middle Meningeal Artery Embolization as Targeted Adjunct for Chronic Subdural Hematoma in the Elderly
MMAE is a promising mechanism-targeted adjunct for selected high-risk chronic subdural hematoma patients, not a universal replacement for surgery. cSDH is now understood as a vascular-inflammatory disease, with incidence rising steeply in super-aged societies.
Methodological and reporting concerns in a systematic review of immersive virtual reality in radiography education.
Methodological and reporting concerns in a systematic review of immersive virtual reality in radiography education.
E&M Services and IR Specialization Tied to Higher Procedural Complexity
Radiologist IR specialization most strongly predicted higher procedural complexity (OR 74.74; 95% CI 65.81–84.89). Each additional E&M wRVU was associated with 0.14 more procedural wRVUs (P=.045).
Letter to the Editor: Bridging the surgical benefit-survival paradox of preoperative MRI in DCIS.
Letter to the Editor: Bridging the surgical benefit-survival paradox of preoperative MRI in DCIS.
Photon-Counting CT Advances Head and Neck Imaging with Spectral and Dose Benefits
Photon-counting CT improves head and neck imaging over energy-integrating CT: higher spatial resolution, less noise and metal artifact, lower radiation and contrast doses, and spectral reconstructions may enhance lesion detection, tissue characterization, and assessment around d…
Deep learning algorithm detects in-stent restenosis on CT angiography with higher sensitivity than radiologists
For detecting significant in-stent restenosis on coronary CT angiography, a deep learning algorithm achieved 75.4% sensitivity versus 43.9% and 56.1% for two radiologists, while maintaining similar overall accuracy (87.8%).
Combined MRI radiomics and clinical model predicts spine/pelvis chordoma recurrence with test AUC 0.897
In 135 patients with spine/pelvis chordoma, an MRI radiomics model predicted recurrence with test AUC 0.847; adding age, tumor size, and resection mode lifted test AUC to 0.897 vs 0.700 for clinical factors alone.
Deep Learning on Whole-Body CT Predicts Short-Term Survival After TAVI
A deep learning model applied to pre-procedural whole-body CT predicted short-term survival (<12 months) after TAVI with AUC 0.787, sensitivity 85.3%, and specificity 72.1% in internal 5-fold cross-validation of 317 patients.
AI Trained on 400,000 Abdominal CTs Boosts Radiologist Sensitivity by ~10%
A vision-language AI trained on over 400,000 abdominal CTs increased diagnostic sensitivity of 26 radiologists by ~10% in a reader study, achieving high performance across 146 imaging findings.
STS 2026 Consensus: CT Esophagram Preferred Over Fluoroscopy, Imaging Optional in Spontaneous Pneumomediastinum
STS 2026 consensus: CT esophagram preferred over fluoroscopy for suspected esophageal perforation; imaging can be omitted in spontaneous pneumomediastinum. Endoscopic stenting or vacuum therapy recommended based on individual factors.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Breast Implant Evaluation: 2026 Update.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Breast Implant Evaluation: 2026 Update.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Staging and Follow-up of Melanoma.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Staging and Follow-up of Melanoma.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Renovascular Hypertension.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Renovascular Hypertension.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Rib Fractures.
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Rib Fractures.
Omitting Contralateral Systematic Biopsy in Solitary PI-RADS Lesions Misses Only 2.6% of Significant Prostate Cancers
In 1506 men with PI-RADS 3-5 lesions, skipping all systematic biopsy would have missed 25% of Grade Group ≥2 cancers. However, for men with a solitary lesion, omitting contralateral systematic biopsies missed only 2.6% of such cancers, potentially reducing overdiagnosis of Grade…
Radiology AI Evaluation: Better Than Nothing Not a Standard
Better Than Nothing Is Not a Standard for Radiology AI Evaluation.
Distal ophthalmic artery coil protection enables safe aggressive embolization of periorbital AVMs
In 10 patients with periorbital AVMs, protecting the retinal circulation with coils placed distal to the central retinal artery allowed aggressive n-BCA embolization with no vision loss; 7/10 had complete obliteration and no recurrence at median 8.5 years.
Ultrasound PSV change predicts AVF stenosis severity and site
In 87 patients with hemodialysis arteriovenous fistulas, the change in peak systolic velocity across a stenosis predicted ≥50% stenosis better than stenotic peak systolic velocity (AUC 0.799 vs 0.659; p=0.004).
Beyond STIR versus Dixon: musculoskeletal MRI protocol design as a moving target.
Beyond STIR versus Dixon: musculoskeletal MRI protocol design as a moving target.
Low-field uterine diffusion MRI distinguishes adenomyosis from healthy tissue
At 0.55T, uterine diffusion MRI (ADC/IVIM) differentiated adenomyosis from healthy tissue: reduced myometrial ADC (p=0.024), lower endometrial diffusivity (p=0.017), increased perfusion fraction (p=0.014) in 106 women. Menstrual phase and hormonal status also influence metrics.
SEG.A 2023 Aorta Segmentation Challenge: Ensemble U-Nets Win on CT Angiography
Ensemble deep learning (3D U-Net) won the SEG.A 2023 aortic vessel tree segmentation challenge on CT angiography, with model ensembling proving key for robust performance. A new public multi-institutional benchmark established.
Combined US/CEUS score outperforms ACR TI-RADS for benign high-risk thyroid nodules
A combined ultrasound and contrast-enhanced ultrasound score identified benign ACR TI-RADS 4/5 thyroid nodules better than ACR TI-RADS alone in internal validation: AUC 0.872 vs 0.720, specificity 75.5% vs 55.1%, sensitivity 94.4% vs 88.9%. Single-center retrospective.
MRI deep learning radiomics and pathologic lymphocytic reaction predict 3-year distant metastasis in rectal cancer
Fusion model: MRI deep learning radiomics + lymphocytic reaction predicted 3-yr distant metastasis in rectal cancer (AUC 0.911/0.884, n=190). LR an independent predictor; DLR inversely correlated (r=-0.44).
Breast Density and BPE Are Independent Biomarkers for Systemic Risk
Breast density (BD) on mammography correlates with bone density (osteoporosis risk); background parenchymal enhancement (BPE) on contrast-enhanced mammography (CEM) correlates with systolic BP (vascular tone). They are independent; AI boosts reader agreement.
Multimodal imaging fractals map immune exclusion and predict survival in colorectal liver metastases
In 270 CRC liver metastases patients, an immune-radiomics joint score (MRI/PET fractal dimensions, SII, KRAS) identified immune-inflamed phenotype (external validation AUC 0.862) and predicted better overall survival (HR 0.31).
Siamese neural network distinguishes pneumonia, TB, and aspergillosis on chest X-rays with 98.72% accuracy
A novel Siamese CNN distinguished aspergillosis, pneumonia, tuberculosis, and normal lungs on chest X-rays with 98.72% accuracy, outperforming standard CNN and ResNet-50 in a dataset of 7,200 images. A web interface supports clinical upload.