Articles tagged with Radiology
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.
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 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.
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.
The collaboration aims to deliver high-quality, timely care by leveraging the latest imaging systems and AI tools. This will enable more precise diagnoses with shorter wait times, driving effective treatment across all service lines.
A new study examines the radiology department's experience during a mass casualty terror attack in southern Israel. Researchers found that rapid staff mobilization, versatile imaging resources management, and AI-enabled safety checks were crucial in guiding clinical decisions.
Researchers at Sylvester Comprehensive Cancer Center are pioneering innovative approaches to treating complex movement disorders with advanced imaging and radiosurgery techniques. The new era of functional radiosurgery enables precise treatment without invasive procedures.
Researchers from University of Miami Miller School of Medicine will showcase their study results at the annual conference. The presentation focuses on advancements in cancer treatment and patient care.
The PRISM trial will examine the impact of AI on mammogram accuracy and patient experience, with hundreds of thousands of mammograms analyzed. The study aims to understand whether AI enhances cancer detection by radiologists or leads to more false alarms.
A study by Columbia University researchers found that soccer heading causes damage to the brain's cerebral cortex, leading to cognitive deficits. The study used a new imaging technique to identify areas most damaged by repeated impacts from heading a soccer ball.
The Society of Interventional Radiology has published new practice guidance for creating percutaneous arteriovenous fistulas for dialysis access. The guidance emphasizes the importance of interventional radiologists in providing durable hemodialysis access to improve patient outcomes.
A new study from Mizzou's College of Veterinary Medicine analyzed the effects of radioactive iodine therapy on thyroid cancer in dogs. The research found that tailoring the dose of radiation more precisely for each dog could improve outcomes and potentially lead to more targeted care.
Dr. Wendaline M. VanBuren has been awarded a grant to develop an AI-powered model for diagnosing and treating adenomyosis and endometriosis. The study aims to enhance detection, treatment planning, and patient outcomes.
A global study surveyed 14,000 patients across 43 countries, finding that those in poorer health were more likely to reject AI. Patients preferred explainable AI and wanted clinicians to make final decisions.
Researchers are using total-body PET imaging to investigate the relationship between long COVID symptoms and activated immune T cells, as well as blood vessel damage. The goal is to gain a better understanding of how these processes are related and how they contribute to long COVID symptoms.
Dr. Catheryn Yashar, a renowned radiation oncologist, has been appointed president-elect of the American Society for Radiation Oncology (ASTRO). She will champion innovative radiation therapies and advance health policy reform to improve cancer care outcomes.
Mount Sinai will provide orthopedics, sports medicine, emergency medicine, and musculoskeletal radiology services to world's top tennis stars. The institution has partnered with the USTA for 13 years, promoting health and wellness, preventing injuries, and catering to diverse populations.
A new minimally invasive procedure, genicular artery embolization, has been shown to relieve chronic knee pain caused by osteoarthritis in over 60% of patients. The procedure reduces inflammation and blood flow to joints, providing significant improvements in knee pain and stiffness.
A new study suggests that subtly adjusting the angle of the foot during walking can reduce knee pain caused by osteoarthritis and slow its progression. By tailoring each patient's foot angle to their unique walking pattern, experts believe an easy and fairly inexpensive way to address early-stage osteoarthritis may be found.
Scientists investigated how Pr content impacts perovskite oxide crystal structure and oxygen exchange. Higher Pr content led to disorder phase transition and improved orbital hybridization, accelerating oxygen exchange. The discovery provides guidance for designing high-performance SOEC anodes.
Experts suggest a clear separation of roles between AI systems and radiologists to overcome challenges such as cognitive biases and misaligned incentives. A framework for role separation is proposed, including three models that can be adapted to specific needs, enabling institutions to implement hybrid approaches.
The tripartite agreement has driven $100M in NIH funding, 217 invention disclosures, 136 U.S. patents, and 31 international patents, accelerating MRI technology adoption and improving patient care. Technologies developed through this collaboration have shaped multiple FDA-approved products used worldwide.
The International radiology consensus outlines best practices for post-COVID CT imaging, including standardized terminology and low-dose protocols. The guidelines aim to standardize the indications for chest CT and improve patient management.
Researchers found Galectin-1, a sugar-binding protein, plays a critical role in helping hepatocellular carcinoma cells resist thermal ablation and thrive after being treated with high heat. Blocking Gal-1 can make thermal ablation more effective and reduce the risk of recurrence.
A new study demonstrates that retrieval-augmented generation can eliminate hallucinations in clinical LLMs while protecting patient privacy. The RAG-enhanced model responds significantly faster than cloud-based systems, delivering safer results without compromising data security.
Researchers at the University of Illinois Urbana-Champaign have developed a new non-invasive MRI approach that visualizes brain metabolism and detects metabolic alterations associated with brain diseases. The technique uses magnetic resonance spectroscopic imaging to provide insights into brain function and disease processes.
A new survey conducted by Ohio State University Wexner Medical Center found that only 1% of men are concerned about bone density, with cancer and heart disease being top concerns. Men can build back bone density through exercise, nutrition, and lifestyle changes, and early intervention can prevent deadly fractures.
A landmark review highlights how diabetes alters bone microarchitecture and increases fracture risk in people with type 2 diabetes, despite normal or elevated bone mineral density. The authors advocate for updated diagnostic tools, including a revised TBS algorithm, to more accurately reflect bone quality in individuals with central ob...
A study published in Radiology found that CT colonography is more effective and cost-effective than stool DNA testing for colorectal cancer screening, reducing incidence by 70-75% compared to 59%. CT colonography is also a cost-saving option with an estimated cost of $9,000 per QALY gained.
A new AI system has been developed that improves radiology productivity and accuracy, offering a breakthrough solution to the global radiologist shortage. The tool boosts efficiency by up to 40% without compromising accuracy and flags life-threatening conditions in real-time.
A new quality initiative at Mass General Brigham improved radiologists' follow-up imaging recommendations, reducing diagnostic errors and potential harm. The initiative resulted in a 44% reduction in imaging recommendations and increased actionability of recommendations, leading to better patient outcomes.
Patients with breast cancer detected through routine screening mammography have improved clinical outcomes, including lower odds of advanced stage breast cancer and death. In contrast, symptom-detected cases were more frequent in older women and had higher mortality rates.
A new AI system, MedGaze, is designed to emulate how radiologists visually interpret chest X-rays. By replicating expert attention, it helps train future specialists and improve the efficiency of hospitals through better workflow management.
A new study reveals that fine-tuned large language models (LLMs) greatly improve error detection in radiology reports, outperforming other NLP tools. The LLMs successfully identify various types of errors, including transcription and directional mistakes, providing a promising solution for medical proofreading.
A new study published in Radiology found that abbreviated breast MRI is an effective screening method for women with extremely dense breasts, detecting cancer while reducing scan times by up to 80%. The abbreviated protocol retains a high level of diagnostic accuracy comparable to the full protocol MRI.
Dr. Tarek Hanna joins UMSOM from Emory University School of Medicine with expertise in emergency and trauma imaging, clinical operations optimization, and faculty development. He will advance clinical excellence and expand radiology services across central Maryland.
Researchers at the University of Chicago Medicine discovered a new phenomenon where high doses of radiation cause growth in existing metastatic tumors. The 'badscopal effect' is attributed to increased production of amphiregulin, which weakens the immune system and makes cancer cells more resistant.
FLT3 mutations significantly impact AML prognosis and treatment response; next-gen sequencing enhances mutation detection and MRD monitoring. FLT3 inhibitors offer promising avenues for durable remission.
The IOF Advanced Course on Osteoporosis is a comprehensive, 18-hour online training programme designed to equip healthcare professionals with the latest knowledge in osteoporosis prevention, diagnosis, and management. The course aims to promote timely diagnosis and treatment, reduce patient burden, and improve global outcomes.
Researchers at TUM developed an AI-powered algorithm to predict kidney damage in prostate cancer patients undergoing lutetium-177 PSMA therapy. Early detection could enable personalized treatment adjustments to prevent organ damage.
A Phase II trial found durable antitumor activity in patients with BRCA1/2 mutations treated with olaparib and pembrolizumab, with 8.3% complete response rate
The treatment demonstrated early signals of efficacy, with 65.7% of patients experiencing lasting stable disease, and was generally well-tolerated, with most adverse events being mild and manageable.
A survey of patients who underwent breast cancer screening mammograms found most support AI's role as a second reader, but concerns about data privacy and bias persisted. Demographic factors such as education and racial background played a significant role in shaping patient perceptions of AI.
A new study suggests that CT scans could account for 5% of all cancer cases each year, primarily due to radiation exposure. The largest risk is among infants, followed by children and adolescents. To mitigate this risk, reducing the number of scans and doses per scan can help save lives.
Twelve young researchers from around the world receive ESCEO-IOF Young Investigator Awards for their groundbreaking studies on osteoporosis. The prestigious awards were presented during the World Congress on Osteoporosis, Osteoarthritis & Musculoskeletal Diseases (WCO-IOF-ESCEO 2025) in Rome, Italy.
Dr. Elizabeth M. Curtis has been awarded the ESCEO-IOF Pierre Meunier Young Scientist Award for her groundbreaking research on musculoskeletal health and bone disease. Her work focuses on the epidemiology of bone, muscle health, and joint health across the lifespan.
AMMOM has been recognized by the IOF for its significant contributions to osteoporosis awareness and bone health in Mexico. The organization has collaborated extensively with the IOF on various initiatives, including joint scientific meetings and advocacy efforts.
Professor Atsushi Suzuki, Chair of Endocrinology at Fujita Health University School of Medicine, Japan, received the IOF President's Award for his exceptional contributions to IOF. He has shared his expertise as a mentor and engaged member of the Capture the Fracture Governance.
Dr Ambrish Mithal, an Indian endocrinologist, has been awarded the prestigious IOF CSA Medal of Achievement for his groundbreaking work in advancing the field of osteoporosis. His pioneering efforts have significantly increased understanding and awareness of osteoporosis globally.
A new editorial in Oncotarget discusses how artificial intelligence can improve liver imaging by recognizing when it might be wrong. The approach, called 'uncertainty quantification,' helps clinicians better detect liver cancer and other diseases by pointing out areas in medical scans that need a second look.
A new framework helps clinicians choose phrases that more accurately reflect the likelihood of certain pathologies in X-rays, improving the reliability of critical clinical information. The approach treats certainty phrases as probability distributions, capturing nuances of what each word means.
The new Keck Medicine of USC – Newport Beach Radiation Oncology and Imaging Center offers biology-guided radiation therapy, using up-to-the-minute signals to track and treat cancer cells in real time. The center is equipped with state-of-the-art technology and will be the first in Orange County to provide this treatment option.
Researchers found that medical imaging experts can solve common optical illusions, including judging the size of objects. Training to improve visual perception can also make experts less susceptible to these illusions. This study has implications for training medical image analysts.
A new study published in Radiology found that higher blast exposure correlated with changes in brain function and structure, even when standard MRI exams appeared normal. The researchers discovered weaker connectivity in key areas and more severe symptoms such as memory problems and post-traumatic stress disorder.