A recent study found that US zip codes in extreme socioeconomic disadvantage have limited access to accredited medical imaging facilities and centers of excellence. This lack of access can lead to delayed or missed diagnoses, exacerbating existing health disparities.
A small number of patients with acute myocarditis after COVID-19 vaccination showed signs of heart muscle inflammation, while asymptomatic patients had normal cardiac tissue. The study suggests that symptoms alone are a poor indicator of myocardial injury after vaccination.
A study published in Radiology found that an AI tool can accurately identify normal and abnormal chest X-rays with a high degree of sensitivity. The tool identified abnormal chest X-rays with a 99.1% sensitivity rate, outperforming clinical board-certified radiologists.
Researchers identified a higher rate of premature arteriovenous graft failure among African American patients undergoing dialysis access interventions. The study, published in Radiology, found that these patients were more vulnerable to experiencing early dialysis access dysfunction and failure.
A recent study published in Radiology uses radiomics to analyze coronary CT angiography images and identify vulnerable plaques associated with an increased risk of major adverse cardiac events. The model enabled the detection of these plaques, providing a more accurate approach than conventional anatomical parameters.
A study published in Radiology revealed persistent lung abnormalities in patients two years after COVID-19, including fibrosis and cystic changes. The incidence of lung abnormalities gradually decreased over time, but the proportion of fibrotic interstitial lung abnormalities remained stable.
A recent study published in Radiology found that thrombectomy is a safe and feasible treatment option for patients with primary isolated anterior cerebral artery medium vessel occlusions. The procedure showed similar outcomes to medical treatment in terms of early and long-term functional outcomes, mortality rates, and safety.
Researchers found that AI significantly improved the detection of lung nodules on chest X-rays, detecting actionable nodules at a rate of 0.59% compared to 0.25% without AI assistance. The study suggests that AI may work consistently across different populations.
A meta-analysis of 22 studies found that breast MRI was superior to other supplemental screening methods in detecting breast cancer in women with dense breasts. This is because breast MRI can detect even the smallest of cancers, making it a valuable tool for identifying high-risk patients.
A new study published in Radiology: Cardiothoracic Imaging shows that photon-counting detector CT can acquire high-quality images at lower contrast media volume than conventional CT scanners. The technology reduces the amount of contrast needed for CT angiography, improving image quality and reducing environmental impact.
Researchers used deep learning AI to analyze chest X-rays of patients with acute chest pain syndrome, identifying those at high risk for life-threatening conditions. The model significantly improved prediction accuracy beyond conventional clinical markers, allowing for more accurate triage and potential deferral of additional testing.
A new study finds that COVID-19 patients exhibit higher liver stiffness months after infection, indicating possible long-term liver damage. The study also suggests that even pre-pandemic patients showed increased liver stiffness, likely due to changing referral patterns during the pandemic.
A minimally invasive treatment for carpal tunnel syndrome provides complete and long-term relief to patients. Ultrasound-guided hydrodissection effectively treats nerve entrapments without surgery or corticosteroids.
Researchers found a strong association between hotter weather, more sunshine, and higher volumes of polytrauma CT scans. The study used machine learning algorithms to forecast daily polytrauma CT occurrence, predicting 73% of high-demand days and 83% of low-demand days.
A study found that high deductible health plans can lead to a decrease in the number of women undergoing indicated breast imaging, particularly those with lower incomes and education levels. The researchers hope their findings will inform efforts to remove financial barriers to care and improve health outcomes for vulnerable populations.
Researchers developed a deep learning model that uses a single chest X-ray to predict the 10-year risk of death from cardiovascular disease. The model performed similarly to established clinical standards and provided incremental value in predicting major adverse cardiac events.
A new study using photon-counting CT technology has shown that it can detect more post-COVID-19 lung damage than conventional CT scans, particularly in patients with persistent symptoms. The technology may lead to earlier treatment and better outcomes for those affected by COVID-related lung damage.
Two studies found corticosteroid injections associated with osteoarthritis progression, while hyaluronic acid injections may slow down progression. Corticosteroids increase risk of disease progression, highlighting need for cautious use.
Higher weight and BMI z-scores in pre-adolescence are associated with poor brain health, including structural changes and decreased connectivity. The findings provide an important mechanistic explanation for the link between childhood obesity and impaired cognitive function.
A new study has identified brain markers of attention-deficit/hyperactivity disorder (ADHD) in children using MRI data. The researchers found changes in almost all regions of the brain, including abnormal connectivity, a thinning of the brain cortex, and significant white matter microstructural changes.
A new study uses ultra-high-resolution MRI to identify changes in the brain's fluid clearance system, which may contribute to migraine development. Enlarged perivascular spaces were found in patients with chronic and episodic migraine compared to healthy controls.
A large-scale study found that low-dose CT screening increases the long-term survival rate of lung cancer patients by identifying early-stage cancers. The 20-year survival rate for participants diagnosed with early-stage lung cancer was 80%, with higher rates for those with solid nodules and clinical Stage IA lung cancers.
A new MRI study reveals that even low to moderate amounts of alcohol consumption during pregnancy can change the baby's brain structure, leading to delayed brain development. Brain changes were seen in fetuses exposed to alcohol even at low levels, with significant effects on social cognition and language perception.
Researchers used MRI to analyze brain changes in patients up to six months after COVID-19 recovery. Significant abnormalities were found in the frontal lobe and brain stem, including differences in white matter and regions linked to fatigue, insomnia, anxiety, depression, headaches, and cognitive problems.
A new study found that taking NSAIDs for osteoarthritis pain and inflammation may worsen joint inflammation and cartilage quality over time. Researchers used MRI-based structural biomarkers to analyze the association between NSAID use and synovitis in patients with knee osteoarthritis.
A study published in Radiology found that marijuana smokers have a higher incidence of emphysema and airway inflammation compared to non-smokers and tobacco-only smokers. The researchers suggest that the unfiltered nature of marijuana smoke and longer breath-hold puffs may contribute to these findings.
A study by the Radiological Society of North America found that health insurance companies often pay more than necessary for radiology services, leading to higher premiums and out-of-pocket costs. The study also suggests that radiologists can play a key role in delivering high-quality, low-cost care to patients.
A study of over 4 million claims found that Black women had less access to new mammography technology, even when receiving mammograms at the same institution. The disparities in digital breast tomosynthesis use among Black and white women began to subside after 2016.
A recent study published in Radiology found persistent lung damage on MRI scans in children and teens who recovered from or have long COVID. Lung function and structure show signs of dysfunction, with V/Q matches indicating impaired air and blood flow.
A new AI tool has been developed to detect pancreatic cancer on CT scans with high accuracy, achieving 90% sensitivity and 96% specificity. The tool's performance is comparable to that of radiologists, offering a promising supplement for early detection and improved treatment outcomes.
Researchers developed an AI system that can quickly and automatically evaluate chest X-rays for TB using deep learning. Analysis showed the system was comparable to radiologists for determining active TB on chest X-rays, with similar performance across different patient subgroups. The system has the potential to aid screening in areas ...
A study found that trained radiographers perform as well as radiologists in key areas of double reading mammograms, improving cancer detection rates. The results suggest that focused training and experience are key factors in reader performance, not just medical degree or broad radiology education.
A new study shows that photon-counting detector CT with AI-based noise reduction detects more lesions in multiple myeloma patients than conventional CT. The technology offers superior image quality at lower radiation doses, potentially impacting therapy choice and patient outcomes.
A recent study found that background parenchymal enhancement (BPE) at surveillance breast MRI is independently associated with an increased risk of future second breast cancer. Women with dense breasts and minimal BPE may no longer need to undergo contrast-enhanced breast MRI every year if other risk factors are absent.
The special report outlines 12 suboptimal practices in data handling that can predispose machine learning systems to bias. The report presents strategies to mitigate these biases, including careful planning, multidisciplinary teams, and creating heterogeneous training datasets.
Researchers captured the first complete CT image of a woolly mammoth tusk using a larger clinical CT scanner. The tusk was found in Switzerland and dated back around 17,000 years, with annual growth increments revealing its age at death was approximately 32 years.
A large multicenter study found that smaller airways in women, independent of smoking status, are associated with a higher risk of COPD. Women's airways were found to be narrower and less efficient than men's airways, leading to poorer lung function and increased symptoms.
A new AI approach can diagnose osteoporosis from hip X-rays with superior diagnostic performance than traditional methods. This could lead to faster treatment and reduced risk of fractures. Researchers developed a deep-radiomics model using image processing and analysis to identify patterns associated with disease.
A new study using Hyperpolarized Xenon 129 MRI found lung abnormalities in non-hospitalized long COVID patients, even those who had not been hospitalized with the illness. The abnormalities were detected up to a year after initial infection and included defects in lung function and gas exchange.
A new AI tool helps doctors predict cancer risk in lung nodules on chest CT scans, improving accuracy and agreement among radiologists. The tool was developed by Optellum Ltd. and evaluated in a study of 300 patients with indeterminant pulmonary nodules.
A new Special Report published in Radiology discusses consensus recommendations for dealing with the global contrast media shortage. Short-term and long-term strategies are outlined to mitigate the impact of the shortage, including repackaging, multi-use, and negotiating with payers.
A large study published in Radiology found that women with dense breast tissue and benign breast disease are at increased risk of developing breast cancer. The study, which included over 3.9 million Korean women, suggests that these women may benefit from supplemental screening with MRI or ultrasound.
A new study found a link between increased choroid plexus volume and greater cognitive impairment in Alzheimer's disease. Choroid plexus volume was associated with memory loss, executive function decline, and cognitive impairment severity.
A new study published in Radiology: Cardiothoracic Imaging found that aspirin therapy did not reduce major cardiovascular events in patients with non-obstructive coronary artery disease. Statin use, however, was associated with a significant reduction in cardiovascular events.
A new study using quantitative MRI (qMRI) found differences in brain structure among adolescents born extremely preterm, which may help predict atypical development. The study collected data from 368 adolescents and compared those with typical vs. atypical development, highlighting potential for qMRI to improve outcomes.
A novel mesh plug treatment, Woven EndoBridge (WEB), has been shown to be equally effective in treating sidewall brain aneurysms compared to bifurcation aneurysms. The study found a complication rate similar between the two approaches and demonstrated the safety and efficacy of WEB for sidewall aneurysms.
A new study found that an increased aortic diameter is associated with a higher risk of cardiovascular events like heart attacks and strokes in both women and men. The study suggests that imaging-based assessment of thoracic aorta size could be considered a risk marker for future cardiovascular disease.
A new study published in Radiology found that a fully-automated artificial intelligence deep learning model can identify early signs of type 2 diabetes on abdominal CT scans. The model analyzed pancreatic features, visceral fat, and surrounding abdominal muscles to accurately discern patients with and without diabetes.
A study published in Radiology found that COVID-19 pneumonia can lead to persistent lung damage detectable on CT scans even a year after symptoms appear. Persistent CT abnormalities were more common in older adults, male patients, and those with critical COVID-19 severity.
A study found that AI's sensitivity for detecting fractures was 91-92%, comparable to clinician performance. The technology has potential as an educational tool and 'second reader' to reduce misdiagnosis rates in challenging circumstances.