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 used AI to analyze mammograms and found that women who developed breast cancer had increasing risk scores over time, while those who did not had stable scores. The study suggests that image-based AI risk scores can predict future breast cancer risk in women without a known genetic mutation or family history.
A study published in Radiology found that three commercially available AI-based computer-assisted detection (AI-CAD) systems can identify early mammographic signs of breast cancer up to 6 years before diagnosis. This could help radiologists spot potential future cancers and allow for earlier intervention.
Gary Ulaner, a renowned nuclear medicine expert, has been elected president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI). He aims to advance SNMMI's Mars Shot initiative, expand educational activities for professionals, and increase funding for training new radiochemistry and physics specialists.
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.
A study published in Radiology used AI to analyze whole-body MRI scans from over 66,000 participants, revealing that skeletal muscle quality is a strong predictor of diabetes, major cardiovascular events, and mortality. The researchers also found that high visceral fat and low skeletal muscle were associated with increased risks of the...
Researchers found a diet high in ultra-processed foods is associated with higher amounts of fat stored inside thigh muscles. This increased intramuscular fat may increase the risk for knee osteoarthritis. The study suggests that addressing obesity and improving dietary quality are crucial to preserving muscle health.
A clinical trial has shown that stent placement can effectively treat post-thrombotic syndrome, a common complication of deep vein thrombosis. The study found significant improvements in venous symptoms and overall quality of life for patients who received the procedure.
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.
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.
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.
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.
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.
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 new study published in the Journal of the American College of Radiology found that targeted outreach can increase lung cancer screenings for eligible women who undergo mammograms. The CALM model, which coordinates lung screening with mammography, exceeded its target enrollment and demonstrated effectiveness in increasing uptake. By i...
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 study found significant differences in injury patterns between men and women, with men experiencing more ACL tears and women more frequent meniscal and MCL tears. These findings can help radiologists tailor imaging protocols and risk assessments to optimize patient outcomes.
Researchers found that higher muscle mass combined with a lower visceral fat to muscle ratio tracks with a younger brain age. Building muscle and reducing visceral fat are actionable goals for improving brain health. The study used whole-body MRI and AI algorithms to quantify muscle volume, fat tissue, and brain age.
A study published in Radiology found that soccer fans' brain activity is triggered by positive and negative emotions when watching their favorite team play. The researchers used fMRI to examine the brain's response to goal sequences from matches, revealing patterns of neural activation associated with social identity and fanaticism.
Researchers developed an AI tool to identify women at higher risk of developing interval breast cancers, which have a worse prognosis. The tool predicted 42.4% of interval cancers for women with the top 20% scores, suggesting it could optimize breast cancer screening programs by identifying those who need supplemental imaging.
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.
A research team developed a pipeline using pre-trained large language models to unify radiology and pathology reports, achieving high accuracy in tumor presence and stability. The system also predicted survival outcomes without additional training, distinguishing high-risk from low-risk groups.
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.
Emphysema detected on low-dose chest CT scans in asymptomatic adults increases mortality risk over a 25-year follow-up period. The study found that emphysema severity is associated with higher COPD and cardiovascular disease mortality rates, suggesting it as a distinct disease entity linked to poorer health outcomes.
A special MRI technique detecting brain iron levels can predict mild cognitive impairment and cognitive decline in cognitively unimpaired older adults. Elevated brain iron is linked to higher risk of developing Alzheimer's disease and faster cognitive decline.
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 recent study published in Radiology found that AI-assisted mammography catches most advanced breast cancers, but still misses 14% of invasive cases. The AI missed more cases in younger women with tumors 2 cm or smaller, and those with low histologic grade, fewer lymph node metastases, and non-glandular locations.
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.
Researchers evaluated over 1,500 AI algorithms for detecting breast cancers on mammography images, achieving median rates of 98.7% specificity and 27.6% sensitivity. Combining top-performing algorithms resulted in sensitivity boosts to 60.7% and 67.8%, comparable to average screening radiologists.
A new AI algorithm has been shown to detect nearly one-third of interval breast cancers missed at screening using digital breast tomosynthesis (DBT), according to a study published in Radiology. The algorithm improved the performance of DBT, reducing interval cancers.
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.
A recent consensus statement by radiologists aims to standardize the management of post-COVID patients with lung abnormalities. Up to 50% of hospitalized COVID-19 patients develop persistent or progressive respiratory symptoms and lung changes on chest CT scans, but these often stabilize or regress over time.
An AI model accurately detected tumor locations and outperformed benchmark models in detecting breast cancer, according to a study published in Radiology. The model learned a robust representation of benign cases to better identify abnormal malignancies, even with underrepresented data.
A study published in Radiology found that AI decision support systems improve breast cancer detection accuracy and visual search patterns among radiologists. With AI assistance, radiologists spend more time examining regions with actual lesions, leading to better performance and efficiency.
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.
Dr. Gary Ulaner has been elected vice president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), committed to advancing nuclear medicine research and expanding educational activities for professionals. As part of his role, he aims to drive growth and funding for training new radiochemistry and physics professionals.
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.
Researchers found corticosteroid injections accelerated structural knee degeneration, while hyaluronic acid injections slowed down damage. The study challenges common clinical practice and suggests alternative pain management strategies for patients with osteoarthritis.
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.
The article highlights key pitfalls in evaluating AI algorithmic biases in radiology, such as the lack of representation in medical imaging datasets and inconsistent demographic definitions. To address these issues, radiologists recommend collecting and reporting more demographic variables and establishing standard notions of bias eval...
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.
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.
A new special report warns of LLM cybersecurity threats in radiology, highlighting the importance of implementing security measures to prevent malicious use. The report recommends robust security measures and best practices for safe integration of LLMs into healthcare.
The breakthrough allows researchers to non-invasively assess BBB permeability using a wide range of radiotracers, enabling early detection of altered permeability and potential markers for neurodegenerative diseases. The scanner can also measure the effects of aging and liver inflammation on BBB health.
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 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.
A large-scale study found that patient pain upon arrival and placement in hallway beds are associated with poorer patient experience in EDs. On the other hand, receiving radiology studies generates more positive experience scores. Understanding these underlying factors can help improve patient outcomes and experiences.
A new radiology screening tool can help detect intimate partner violence (IPV) in patients, enabling healthcare providers to identify victims earlier. The study found that imaging studies and injury patterns differ between women who have reported IPV and those who have not.
A new study uses advanced lung MRI to detect regional blood flow abnormalities in children and adolescents with long COVID, which may explain persistent symptoms. The researchers found reduced blood flow patterns that correlated with fatigue symptom severity, suggesting a possible biological basis for ongoing symptoms.
A study found significant racial disparities in who received same-day diagnostic services and biopsies after abnormal mammogram findings, with Black women being less likely to receive same-day biopsies. Rural-resident patients were more likely to receive same-day diagnostic services than urban residents.
Researchers developed a robust AI model that automates segmenting of MRI images, reducing radiologist workload and improving consistency. The TotalSegmentator MRI model achieved high performance on various anatomical structures, with a Dice score of 0.839.