Background At least 10% of all patients with knee osteoarthritis (OA) undergo treatment with injectable corticosteroids or hyaluronic acid (HA). Although both have been shown to help with symptomatic pain relief, their long-term effects on knee OA progression remain inconclusive. Purpose To investigate the association between intra-articular knee injections, specifically corticosteroids and HA, and

Background Breast MRI is the most sensitive modality for detecting breast cancer, but its diagnostic performance can be reduced by background parenchymal enhancement (BPE). However, the implications of the degree of BPE in diagnostic evaluation remain controversial due to conflicting evidence. Purpose To conduct a systematic review and meta-analysis to determine whether the presence of moderate or

Background Limited evidence exists on the prevalence and outcomes of interstitial lung abnormalities (ILAs) in lung cancer screening populations, particularly Asian populations. Purpose To investigate the prevalence of ILAs and the association of ILAs with lung cancer, idiopathic pulmonary fibrosis (IPF), and mortality outcomes in an Asian population. Materials and Methods In this nationwide, population-based

Background There is currently a lack of consensus regarding the risk of malignancy and the natural history of cystic lung lesions. Purpose To evaluate imaging characteristics associated with the risk of malignancy of cystic lung lesions in a lung cancer screening program. Materials and Methods This retrospective study included all CT lung cancer screening examinations performed from January 2015 to

Despite growing awareness of problems with fairness in artificial intelligence (AI) models in radiology, evaluation of algorithmic biases, or AI biases, remains challenging due to various complexities. These include incomplete reporting of demographic information in medical imaging datasets, variability in definitions of demographic categories, and inconsistent statistical definitions of bias. To guide

Moral distress, which causes burnout, is a growing issue in health care since its initial description in 1984. The relationship among moral distress, moral injury (sustained moral distress), and burnout is critical to understanding the implications for physicians' mental and physical health and the impact on patient care. Moral distress can lead to an increase in medical errors and result in low quality

Background Brain CT perfusion is used for diagnosing ischemic stroke and treatment planning. Purpose To optimize the four-dimensional similarity filter (4DSF), a noise-reducing filter, for CT perfusion in patients with acute stroke. Materials and Methods To reduce the noise of dynamic perfusion images, the 4DSF averages voxels with the most similar time-intensity curves. The commercial implementation

Background Chest pain is a leading cause of outpatient and emergency department visits; advancements in artificial intelligence (AI) could improve coronary CT angiography (CCTA) workflows for these patients. Purpose To evaluate the performance of an on-premise AI-based coronary artery calcium scoring (CACS) and CCTA analysis software against expert interpretation based on Coronary Artery Disease Reporting

Cardiac implantable electronic devices (CIEDs), including pacemakers and defibrillators, are increasingly used to manage various cardiac conditions. This article reviews the radiographic appearance, typical components, and placement of CIEDs, including newer technologies like leadless pacemakers and MRI-conditional devices. The article also highlights the imaging findings of common complications such

Background Parenchymal phenotypes reflect the intrinsic heterogeneity of both tissue structure and distribution on mammograms. Purpose To define parenchymal phenotypes on the basis of radiomic texture features derived from full-field digital mammography (FFDM) in breast screening populations and assess associations of parenchymal phenotypes with future risk of breast cancer and masking (false-negative

Background Forced vital capacity (FVC) is a standard measure of respiratory function in patients with amyotrophic lateral sclerosis (ALS) but has limitations, particularly for patients with bulbar impairment. Purpose To determine the value of deep learning-based chest CT-derived respiratory parameters in predicting ALS progression and survival. Materials and Methods This retrospective study included

Although idiopathic pulmonary fibrosis (IPF) is a type of idiopathic interstitial pneumonia (IIP), it is different from other IIPs. IPF also differs from interstitial lung disease (ILD) with known causes, including connective tissue disease, exposure, cysts and/or airspace filling disease, and sarcoidosis. More than 90% of IPFs demonstrate progressive disease. Non-IPF ILD has been classified as progressive

Background Ultrafast breast MRI promises to improve conspicuity of cancers by avoiding masking due to background parenchymal enhancement (BPE) and to improve classification of enhancing lesions. However, published studies systematically penalized standard dynamic contrast-enhanced (DCE) MRI because they integrated ultrafast MRI into existing DCE protocols, such that postcontrast acquisitions of DCE

Intravenous iodinated contrast media (ICM) is widely used in the United States, and it is imperative to provide guidance on the management of adverse reactions to ICM as well as the preparation, planning, and potential premedication for patients with previous reactions. Currently there is a discordance between the American College of Radiology Contrast Manual, which recommends premedication to prevent

Background Isocitrate dehydrogenase (IDH) wild-type glioblastoma often includes a noncontrast-enhanced tumor (NET) component, and the extent of NET resection may serve as a prognostic marker. Purpose To assess clinical outcomes based on gross total resection (GTR) of NET, develop a real-world survival model incorporating GTR-NET for IDH wild-type glioblastoma, and validate the findings in multinational

Rotator cuff (RC) tears are a common cause of shoulder pain and, depending on the tear pattern, can substantially limit daily activities and affect quality of life. After a tendon tear, the RC muscle undergoes degenerative changes, including fatty degeneration and volume atrophy. The extent of fatty muscle degeneration has been associated with poorer functional and surgical outcomes after RC reconstruction

Background Four-dimensional (4D) flow MRI provides assessment of thoracic aorta hemodynamic measures that are increasingly recognized as important biomarkers for risk assessment. However, long acquisition times and cumbersome data analysis limit widespread availability. Purpose To evaluate the feasibility and accuracy of a generative artificial intelligence (AI) approach (fluid physics-informed cycle

Background Transarterial chemoembolization (TACE) is regarded as the first-line treatment for patients with Barcelona Clinic Liver Cancer (BCLC) stage B hepatocellular carcinoma (HCC). However, the optimal chemotherapeutic agent loaded in TACE remains controversial. Purpose To compare the efficacy and safety of idarubicin and epirubicin as loaded drugs in drug-eluting bead (DEB)-TACE in patients with

Background Chronic subdural hematoma (cSDH) is a common neurosurgical condition, and middle meningeal artery embolization (MMAE) has emerged as a minimally invasive adjunct to surgery, but optimal timing remains unclear. Purpose To investigate radiographic and clinical outcomes of patients with cSDH undergoing MMAE as an adjunct to surgical evacuation, focusing on order and timing of MMAE relative

Background Little is known regarding the impact of preoperative breast MRI on the long-term outcomes of patients with breast cancer that is human epidermal growth factor receptor 2 (HER2) positive and hormone receptor negative. Purpose To evaluate the impact of preoperative breast MRI on recurrence-free survival (RFS) and overall survival (OS) in patients with HER2-positive and hormone receptor-negative

Background Precise assessment of myocardial ischemia burden and cardiovascular risk stratification based on dynamic CT myocardial perfusion imaging (MPI) is lacking. Purpose To develop and validate a deep learning (DL) model for automated quantification of myocardial blood flow (MBF) and ischemic myocardial volume (IMV) percentage and to explore the prognostic value for major adverse cardiovascular

Background There is a pressing demand to develop an automated segmentation tool for abdominal MRI that can provide accurate and robust segmentation in more than 60 abdominal organs and structures. Purpose To develop and evaluate the accuracy and robustness of an automated multiorgan and structure segmentation tool for T1-weighted abdominal MRI. Materials and Methods In this retrospective study, a T1-weighted

Thermal ablation has started to gain acceptance as a therapeutic approach for the management of papillary thyroid cancer (PTC), mainly in the T1 stage (tumor size ≤ 2 cm in greatest dimension and limited to the thyroid). Despite its increasing popularity, a lack of uniformity in the technical details persists, and existing guidelines do not fully align with recent research advancements. To standardize

Background Portable low-field-strength (64-mT) MRI scanners show promise for increasing access to neuroimaging for clinical and research purposes; however, these devices produce lower-quality images than conventional high-field-strength scanners. Purpose To develop and evaluate a deep learning architecture to generate high-field-strength quality brain images from low-field-strength inputs using paired

Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient management. Current systems are based on expert consensus and/or lack multicenter validation. Purpose To evaluate a machine learning-based approach for differentiating between benign and malignant focal bone lesions and to propose a Bone Tumor Imaging Reporting and Data System (BTI-RADS) 2.0 for further risk

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. It is imperative that the entire medical imaging sector acts

Background Intratumoral heterogeneity (ITH) in breast cancer contributes to treatment failure and relapse. Noninvasive methods to quantify ITH are currently limited. Purpose To quantify ITH in breast cancer using pretreatment MRI, develop a nomogram to predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) and recurrence-free survival (RFS), and investigate biologic pathways associated

Background Current radiology report search tools are limited to keyword searches, which lack semantic understanding of underlying clinical conditions and are prone to false positives. Semantic search models address this issue, but their development requires scalable methods for generating radiology-specific training data. Purpose To develop a scalable method for training semantic search models for

Background Primary aldosteronism can arise from one or both adrenal glands. Adrenal vein sampling (AVS) is the standard of care for identifying patients with lateralized primary aldosteronism who would benefit from surgery. Variability in AVS lateralization has been primarily attributed to cosyntropin use and lateralization index thresholds. Data regarding intraprotocol variability are lacking. Purpose