Articles tagged with Radiology
A systematic review examined rare tumor bleeding after radiosurgery for vestibular schwannoma, identifying reported symptoms and risk factors. The study highlights the need for personalized follow-up and individualized management strategies to prevent complications.
The University Hospitals and Clasp student loan repayment program offers up to $20,000 in employer-sponsored support for new graduate Radiologic professionals and Respiratory Therapists. The program aims to reduce financial barriers to education and attract top talent to the region.
The University of Tennessee has appointed Carolyn J. Anderson as a UT-Oak Ridge National Laboratory Governor's Chair for Nuclear Medicine. She will focus on researching radioisotopes produced at ORNL for targeted alpha-emitting radiotherapy, which can precisely kill cancer cells with minimal side effects.
The Pulmonary Embolism Reporting and Data Systems (PE-RADS) framework provides a simple, 0-4 grading scale for classifying acute pulmonary embolism using CT and MR angiography. The system aims to improve communication and patient care with standardized terminology and risk stratification.
A new study suggests venture capital is playing a significant role in driving innovation in radiology, particularly in medical devices and artificial intelligence. The study found $11.4 billion was invested across 646 companies between 2000-2023, with funding peaking in 2021.
Researchers developed a method combining AI and mathematical models to accelerate MRI scans for breast cancer imaging, achieving improved tumor visibility and high diagnostic sensitivity. The ELITE method has the potential to improve not only MRI scans but also other imaging platforms.
Researchers developed a black phosphorus-based all-fiber photonic artificial intelligence diagnostic platform, achieving 246-fold energy efficiency gains. The system achieved 95.0% accuracy in retinal detachment detection and 97.6% specificity in hepatocellular carcinoma diagnosis.
A new study published in Radiology found that embolization of abnormal blood vessels using rapidly resorbable gelatin-based microspheres is safe and effective in providing significant, lasting pain relief and functional improvement for patients with osteoarthritis-related knee pain. The procedure significantly reduces inflammation and ...
FireANTs, an open-source algorithm, combines AI optimization and geometry to quickly match complex medical images. The new method can accomplish what took weeks in minutes, detecting subtle changes that signal disease or cognitive decline, making it practical for clinical practice.
The Society of Interventional Radiology has published new practice guidance for the use of prostatic artery embolization (PAE) to treat enlarged prostate. PAE is a minimally invasive treatment that offers men an effective alternative to conventional surgical treatments.
Researchers used magnetic particle imaging to track cell therapy injections in mice, finding that it can visualize therapeutic cells as they inject them. The technique shows promise for developing more effective treatments for certain cancers, autoimmune diseases like MS, and neurological conditions.
The Capture the Fracture program has achieved a major milestone, identifying over one million patients with fragility fractures every year. This growth reflects increasing recognition of coordinated post-fracture care services as an essential component of modern hospital care.
A cohort study found increased pediatric capability was not linked to differences in imaging use by insurance or racial/ethnic groups. Additional efforts are needed to improve quality and equity of care for children.
A systematic review of AI models for meningioma segmentation reveals that better model architecture is the key driver of improved performance. The top models achieved high accuracy and efficiency, while future research focuses on making them more generalizable and efficient for real-world clinical settings.
The Alliance A082402 study evaluates the effectiveness of involved-station I²-PORT in reducing NSCLC recurrence without long-term side effects. Participants will undergo randomized treatment with or without targeted radiation therapy after surgery.
A new study published in the Chinese Neurosurgical Journal found that most basilar trunk artery aneurysms can be treated effectively using endovascular techniques, resulting in encouraging long-term recovery rates. However, larger aneurysms pose higher treatment risks and are associated with complications and poorer outcomes.
A new position statement from the Society of Interventional Radiology highlights the growing role of genicular artery embolization (GAE) in treating symptomatic knee osteoarthritis. GAE is a safe and durable joint-preserving intervention that targets inflammatory and neurovascular drivers of KOA-related pain.
A new editorial by IOF members highlights the alarming high post-fracture mortality in Africa and emphasizes the need for a targeted, Africa-driven strategy. The authors propose five strategic priorities to build bone health into national health systems, education, and policy.
The ERASur clinical trial is investigating whether total ablative therapy can improve overall survival in patients with newly diagnosed, limited metastatic colorectal cancer. The study has reached one-third patient accrual milestone, signaling strong momentum.
Researchers developed multiplexed MRI technology, enabling simultaneous imaging of signals from multiple molecules in the brain. The technology provides a comprehensive view of the brain's structure, physiology, and molecular processes, allowing for more precise diagnosis and individualized treatment planning.
The ASPIRE trial aims to enroll 1,200 participants with advanced prostate cancer and assess the impact of chemotherapy on overall survival and disease progression. Genetic profiling is included to identify patients who benefit most from intensified treatment.
New technologies are shifting healthcare towards proactive care, using AI for early heart disease detection and miniaturized CRISPR-based diagnostics. These innovations enable seamless integration of existing medical screenings and provide laboratory-grade accuracy in a portable format.
An AI model called REDMOD can pick up the very early subtle tissue changes of pancreatic ductal adenocarcinoma, which conventional imaging and the human eye find difficult to detect. The model detected 'invisible' signature of pre-clinical pancreatic cancer an average of 475 days before clinical diagnosis.
Researchers found that distinct patterns on lung scans can signal disease severity and predict breathing problems. The study's findings may help doctors tailor treatment approaches for patients with sarcoidosis.
The MEDABIS-PRO project aims to elucidate the effects of magnetic fields on dose delivery and biological radiation in MRI-guided proton therapy. Researchers will analyze the impact of magnetic field orientations and strengths on proton beam propagation and biological effects, using computer simulations and measurements.
The International Osteoporosis Foundation has awarded Professor Roland Chapurlat the prestigious IOF Olof Johnell Science Award for his seminal contributions to understanding and managing osteoporosis, osteoarthritis, and skeletal rare bone diseases. He is recognized as one of the leading clinical academics in the field worldwide.
Professor Noriko Yoshimura has received the IOF CSA Medal of Achievement for her pioneering work on epidemiology and prevention of locomotive organ disorders and osteoporosis. Her research, including the ROAD Study, has significantly advanced understanding of musculoskeletal health.
High-resolution CT scans provide detailed images of mummified human remains, enabling accurate age determination and diagnosis of conditions such as osteoporosis. The analysis also sheds light on the mummification process and potential facial reconstructions of skulls.
A new randomized clinical trial found that men with localized, intermediate-risk prostate cancer recovered faster and experienced less short-term impact on their daily lives when treated with MRI-guided, transurethral ultrasound ablation (TULSA) compared to robotic prostate surgery. TULSA resulted in less blood loss, shorter hospital s...
A new study published in the New England Journal of Medicine found that patients with post-thrombotic syndrome (PTS) who received stent treatment showed significant improvement in their condition and quality of life. The study, C-TRACT, enrolled 225 patients and compared two treatment strategies.
The European Association of Nuclear Medicine (EANM) has joined the EMUC26 congress to promote nuclear medicine expertise in urological cancers. The event will bring together healthcare professionals from various disciplines to discuss current practices and emerging innovations.
A new JACR study suggests radiology departments should optimize use of linens and disposable supplies to reduce environmental impact and costs. The study found that linens (35%) and other single-use supplies (34%) accounted for most of ultrasound's greenhouse gas emissions.
The Mount Sinai Hospital has pioneered a new minimally invasive liver cancer treatment method that allows doctors to treat patients on more days of the week, improving access and reducing wait times. This breakthrough innovation, called TheraSphere Y-90 Any Day Dosing, enables flexible scheduling and seamless care coordination.
A specialized AI model, AMIR-GPT, has been developed to improve radiology guideline alignment, outperforming general purpose models in 33.3% of test responses. However, the model's performance varied across performance bands, and qualitative review revealed limitations, such as omissions and deviations from standard recommendations.
A Chinese study reports a 100% technical and clinical success rate for robot-assisted brain angiography, with median procedure times 11 minutes shorter than manual angiography. No added radiation or complications were observed, showcasing the feasibility and safety of the YDHB-NS01 system
Researchers developed predictive AI models that identified patients at risk of intimate partner violence from their medical records, years before they enrolled in care. The models achieved high accuracy and could detect IPV up to four years before patients sought care.
The NRG-LU005 trial found that immunotherapy atezolizumab did not improve survival for patients with limited-stage small cell lung cancer when added to chemoradiation. Twice-daily radiation therapy, however, was associated with improved survival in this population.
A Chinese Neurosurgical Journal study developed a radiomics-based machine learning model to identify high-risk patients with traumatic brain injury who require emergency decompressive surgery. The model accurately distinguished patients who later required secondary surgery, suggesting its potential to complement clinical judgment.
A study found that radiologists who reviewed imaging tests twice after AI flagged them as abnormal were 53% less likely to be held liable in court compared to those who reviewed once. This suggests that changes to radiologist workflow could reduce legal risk, but may also come with increased costs.
Artificial intelligence can complement human expertise to improve radiology workflows and patient care. The JACR Focus Issue on AI in Workflow Optimization explores the integration of AI technology to enhance efficiency and deliver better care.
The Society of Interventional Radiology has published new practice guidance for treating chronic pelvic pain in women with venous-origin disorders, emphasizing interventional radiology's role in care. The guidance provides evidence-based recommendations on diagnosis, treatment options, and imaging.
The two organizations are expanding their collaboration to improve care for neurodegenerative disease, prostate cancer, and metastatic liver tumors through enhanced imaging and interventional technologies. This expanded partnership aims to bring more precise, less invasive, and personalized treatment approaches to patients.
A new JACR focus issue explores alternative approaches to resident education, radiology residency applications, and investing in pre-clinical medical education. The study aims to spark meaningful dialogue around how radiology education is valued, supported, and delivered amidst economic challenges.
A study published in Radiology found that photon-counting CT reduced radiation exposure by 66.34% and improved image quality compared to conventional CT in lung cancer patients. The technology also showed fewer adverse reactions, including contrast-induced acute kidney injury.
Researchers provide radiation oncologists with practical guidance to identify and protect female sexual organs during pelvic cancer treatment. The study establishes a shared, standardized approach to identifying the bulboclitoris, enabling clinicians to measure radiation dose to these tissues.
A new study discovered two previously unidentified fat distribution types associated with extensive gray matter atrophy and accelerated brain aging in men and women. Individuals with 'pancreatic-predominant' and 'skinny fat' profiles showed increased risk of neurological diseases, cognitive decline, and brain health issues.
A new oral contrast agent significantly improves visualization of inflammatory bowel disease (IBD) or cancer within the abdomen, according to clinical trial data. The dark borosilicate agent reveals previously impossible-to-detect findings, including small bowel tumors and subtle inflammatory conditions.
The Society of Interventional Radiology's Annual Scientific Meeting will showcase nearly 400 oral presentations and 120 poster presentations highlighting transformative advancements in minimally invasive medicine. SIR 2026 aims to improve patient care through innovative image-guided therapies.
NEJM Clinician curates highly relevant clinical insights from over 150 peer-reviewed journals to give physicians clear guidance without the noise. The weekly publication delivers summaries and commentary in a concise, 30-minute read, helping healthcare providers stay informed and confident in their decisions.
A new AI model can accurately identify brain abnormalities in MRI scans for various conditions, including stroke, multiple sclerosis, and brain tumors. The model can also triage scans, increase reporting speeds, and support clinical decision-making by suggesting findings to radiologists.
A special issue of the Journal of the American College of Radiology highlights the transformation of lung cancer from a feared and stigmatized disease to one that is increasingly understood as chronic and treatable. Advances in screening, therapeutics, and survivorship have improved outcomes for patients.
The 9th IOF Asia-Pacific Bone Health Conference will bring together healthcare professionals, researchers, and policymakers to exchange knowledge and shape the future of bone health across the region. The conference will feature keynote lectures, sponsored sessions, and a launch of the IOF Asia-Pacific Regional Audit 2025.
Researchers developed a deep learning model to measure adrenal gland volume on existing CT scans, identifying the first imaging biomarker of chronic stress. The AI-derived biomarker correlates with validated stress questionnaires, cortisol levels, and future cardiovascular outcomes.
The new system can reveal early cancers, lung disease, hidden material defects and changes in porosity without multiple exposures or complex mechanical movement. This method produces low-dose and faster images, lowering patients' radiation dose and making clinical translation feasible.
Researchers at UCSF found distinctive brain patterns in children with sensory processing disorder, which could help clinicians refine treatments for tantrums and emotional volatility. The study suggests that over-responsive children's brains dial up inward-focused networks to gain self-control.
Researchers developed an AI model that outperforms radiologists in detecting hidden objects on chest scans, particularly for cases of foreign body aspiration. The model achieves high precision and recall rates, helping doctors diagnose complex conditions more reliably.
Researchers have developed a low-cost approach, called ComSLI, that can visualize the orientation and organization of tissue fibers at micrometer resolution. This enables detailed mapping of neural pathways and fiber appearances in various tissues, including brain samples from patients with neurological disorders like Alzheimer's disease.
The Center for Computational and AI-enabled Imaging Sciences brings together experts to develop AI-powered medical imaging applications that integrate information from different imaging types. This may include identifying previously unknown early indicators of disease onset.
Researchers at Stanford Medicine have created a new cell-sorting device that uses electromagnetic levitation to separate different types of cells, including cancer cells and live cells from dead cells. The device can precisely direct the movement of cells without attaching fluorescent labels or exposing them to harsh chemicals.
Researchers are building an AI-powered database of MRI and CT images to track disease progression and measure patient response to treatments. The database will provide a standardized toolkit for extracting precise imaging biomarkers, enhancing the accuracy of organ measurements and improving treatment choices.