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…
An inguinal plug from prior hernia repair can appear as a soft tissue pelvic mass, mimicking lymphadenopathy. Recognizing its characteristic triangular shape and location prevents false-positive cancer staging on CT and PET.
After decompressive craniectomy, a patient's own skull flap was temporarily stored in the anterior abdominal wall. On CT, this heterotopic bone appears as a calcified pelvic wall mass and should not be mistaken for a tumor.
PURPOSE: FLASH imaging is widely assumed to produce a T1-weighted steady-state contrast using RF- and gradient-spoiling. We observed substantial overestimation of CSF signals in simulations, when diffusion was neglected and realistic proton density was applied. This work inves...
BACKGROUND: Refined risk stratification before randomization is clinically important for reducing prognostic imbalance across study arms when evaluating novel therapies for glioblastoma. However, current artificial intelligence-assisted prognostic models are often limited by c...
Chiari Malformation Type 1 (CM1) is canonically defined by ectopic position of the cerebellar tonsils with additional anatomic variations described inconsistently. Effect on fourth ventricle volume is controversial with prior studies reporting disparate results and methodologi...
Super-resolution ultrasound imaging (SRUI) surpasses the diffraction limit of conventional ultrasound, enabling visualization of microvascular architecture and hemodynamics with potential applications in neurology, oncology, and cardiology. However, clinical adoption remains l...
Identifying individuals at risk of Alzheimer's disease (AD), particularly in the preclinical and early stages, remains challenging. Although deep learning approaches based on structural MRI show promise as a non-invasive biomarker, existing multimodal models require task-speci...
OBJECTIVE: To evaluate whether prompt-driven synthetic anterior segment disease (ASD) images preserve disease-relevant semantics for transferable ASD recognition. METHODS: A total of 17,853 slit-lamp images from eight ASD categories were retrospectively collected. Expert ophth...
In a proof-of-concept study, tree-based ML models using fractional anisotropy (FA) of juxtacortical U-fibers predicted working memory Z-scores in MS patients with R²=0.49 (MSE 0.26), highlighting early dysconnectivity as a cognitive biomarker.
The American College of Radiology has introduced a radiology AI agent on its ACR Engage platform. Details remain limited.
Surgical video of a Modified Lemaire Lateral Extra-Articular Tenodesis, an extra-articular augmentation for ACL reconstruction. No clinical outcomes reported.
OBJECTIVES: To compare serial prenatal MRI findings in valacyclovir-treated vs untreated fetuses with confirmed congenital cytomegalovirus (cCMV) infection, focusing on the occurrence and timing of minor brain lesions. MATERIALS AND METHODS: In this retrospective single-center...
OBJECTIVES: To investigate whether established synthetic data quality metrics predict when deep generative augmentation improves performance under simulated external validation in radiomics. MATERIALS AND METHODS: Three conditional generators (WGAN-GP, CVAE, TabDDPM) were trai...
PURPOSE: Recent deep-learning methods can recover standard-dose PET images from low-dose images. However, these methods require a large amount of data. We proposed a novel unsupervised learning approach using conditional deep image prior (DIP) with tissue probability maps extr...
PURPOSE: Large-scale biomedical analysis in prostate cancer requires structured, tabular datasets, yet most clinical documentation remains in free-text format. The standard of manual data abstraction is time-consuming, error-prone, non-reproducible, and costly. We hypothesized...
Functional connectivity (FC) is a widely used metric in functional magnetic resonance imaging (fMRI) research. However, its reliability has long been a notable concern, especially in studies with small sample sizes. Previous research has demonstrated that FC derived from longe...
The appendix is involved in a diverse spectrum of inflammatory, infectious, benign, and malignant conditions that extend far beyond acute appendicitis. Although acute appendicitis remains the most common appendiceal emergency, numerous entities-including reactive appendiceal i...
OBJECTIVES: This study aimed to develop and validate an integrated neuroimaging-based model for identifying severe obstructive sleep apnea (OSA) with severe oxygen desaturation (ODI ≥ 30 events/hour) in young and middle-aged male. A key goal was to characterize the neuroimagin...
Pre-clinical data suggest DBS hardware heating stays within acceptable limits at ultra-high-field (>3T) and low-field (<1.5T) MRI, and no significant histological damage was seen in vivo at UHF vs. standard fields — but zero human studies exist, so clinical scanning at these str…
The Duke CSF-Venous Fistula Confidence Score (DCCS) — a structured reporting tool for grading certainty of CVF detection on CT myelography — is demonstrated via real-world cases in this AJNR video article, aiming to standardize interpretation of a diagnostically challenging SIH…
Interictal dynamic FDG-PET (iD-PET) showed superior signal quality vs. static PET in 21/36 brain ROIs at >90% probability and 29/36 at >80%, using a new Bayesian method (BRESQ). Largest gains were in bilateral mesial temporal and lateral occipital regions — key epilepsy surgery…
In 283 anterior circulation LVO stroke patients, adding the Perfusion Collateral Impairment Score (PCIS) to standard collateral scores improved 90-day poor-outcome prediction (COVES+PCIS aOR 1.53, 95% CI 1.17–2.01), but PCIS alone did not outperform comparators after correction.
A dual-energy CT radiomics model predicted immunotherapy response in gastric cancer with an AUC of 0.827 in training and 0.775–0.803 in external validation sets. High-risk patients had significantly worse progression-free and overall survival.
In a retrospective cohort of 1367 pneumoconiosis patients, a gradient boosting survival model predicted respiratory failure with a C-index of 0.794 (3-year AUC 0.788) on internal testing, but dropped to 0.644 on external validation.
A combined habitat MRI radiomics and clinical model predicted feasibility of breast-conserving surgery after neoadjuvant chemo with AUCs of 0.910 (training), 0.839 (internal validation), and 0.755 (external validation).
Curium and Lantheus won a patent dispute concerning lutetium-177 dotatate products, used for neuroendocrine tumor imaging and therapy. The ruling could impact availability and competition in the radiopharmaceutical market.
A $9 million grant will fund training for early-career scientists in cerebral amyloid angiopathy (CAA), a small vessel disease that causes lobar intracerebral hemorrhage and cognitive decline (exact figure not reported in source).
A new PET tracer shows promise for guiding therapy in pancreatic cancer, according to a recent report. Details on the tracer's performance and study design were not available in the source.
The American Society of Radiologic Technologists has created two scholarships in memory of members who made significant contributions to medical imaging and radiation therapy education and advancement.
FDA has cleared RadNet's AI module for detecting breast arterial calcification (BAC) on mammography — a marker of cardiovascular risk. In clinical testing, sensitivity was 90% and specificity 88% across varying breast densities.
